example_id
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10k
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stringlengths 680
723
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12.1k
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stringclasses 14
values | classification_text
stringlengths 4.97k
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stringlengths 1.77k
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| training_metrics
stringlengths 1.46k
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0
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{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.498279, 35.283974, 35.418146, 38.875284, 172.342492], [19.224352, 19.405365, 21.672050, 23.269767, 40.157134], [23.507439, 29.406939, 32.954935, 34.787851, 133.596484], [38.741660, 38.815594, 47.029422, 49.955943, 335.818211], [23.055479, 23.188603, 23.241083, 23.481316, 24.315504], [17.102658, 17.657645, 17.694534, 17.816426, 29.607186], [19.507850, 21.795706, 22.664648, 24.276665, 137.376640]]
### 2
fourier: [[40.287682, 41.187411, 41.202411, 46.129979, 199.174496], [34.743216, 35.395008, 42.182779, 45.003143, 272.147350], [8.835680, 9.114747, 10.413997, 10.416229, 21.896036], [25.117635, 25.391281, 30.764091, 31.727574, 144.277895], [10.277922, 10.870554, 11.667284, 12.876762, 45.343093], [20.853944, 20.968147, 24.243720, 24.530710, 27.764364], [18.643271, 20.379379, 22.062686, 24.404145, 29.398139]]
### 4
fourier: [[13.818651, 15.791820, 15.929746, 16.942509, 19.448550], [13.543238, 14.440757, 14.915352, 16.161930, 39.533774], [57.788404, 58.170941, 62.081612, 68.760095, 289.021218], [29.174940, 30.169972, 31.464540, 35.204567, 190.042381], [48.523515, 49.033660, 52.366679, 56.003215, 199.656970], [35.557181, 36.210705, 36.980064, 42.678048, 169.198721], [15.021498, 15.161513, 17.223216, 21.845290, 109.438674]]
### 6
fourier: [[69.241334, 70.470012, 73.577161, 82.795648, 303.105409], [19.950616, 20.691390, 21.499032, 21.809799, 24.770378], [20.876270, 21.013904, 22.013972, 25.485761, 95.102164], [55.619008, 58.377489, 59.644260, 67.012870, 264.721055], [76.062463, 78.341500, 80.927729, 91.395173, 346.288437], [13.279422, 13.550805, 13.836597, 18.467447, 87.010923], [4.111265, 4.383868, 4.624238, 5.175402, 49.746099]]
### 8
fourier: [[37.600324, 39.451662, 39.493116, 45.340139, 182.098833], [30.262654, 31.006354, 31.211663, 36.766982, 184.850299], [149.288658, 154.604319, 156.771347, 178.455489, 636.848124], [75.869872, 76.934273, 78.098131, 90.692303, 395.220894], [59.756587, 60.740985, 62.329008, 73.028623, 312.679037], [12.588559, 13.100851, 13.315904, 16.156901, 116.595061], [16.609040, 17.649012, 17.744941, 18.125453, 51.484421]]
### 10
fourier: [[39.958965, 40.594823, 40.940176, 47.918136, 274.820479], [34.417995, 35.249284, 35.553769, 41.018977, 89.619845], [149.786760, 153.430714, 153.782049, 176.958861, 605.955853], [97.535934, 98.412603, 99.617574, 115.818923, 481.158469], [89.788328, 93.191932, 93.236046, 106.662181, 352.526668], [0.455789, 0.518563, 0.576235, 0.602953, 44.394372], [63.469423, 63.837588, 64.457559, 75.051447, 342.079193]]
### 12
fourier: [[110.324816, 110.880873, 112.380538, 128.201357, 450.767857]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.498279, 35.283974, 35.418146, 38.875284, 172.342492], [19.224352, 19.405365, 21.672050, 23.269767, 40.157134], [23.507439, 29.406939, 32.954935, 34.787851, 133.596484], [38.741660, 38.815594, 47.029422, 49.955943, 335.818211], [23.055479, 23.188603, 23.241083, 23.481316, 24.315504], [17.102658, 17.657645, 17.694534, 17.816426, 29.607186], [19.507850, 21.795706, 22.664648, 24.276665, 137.376640]]
### 2
fourier: [[40.287682, 41.187411, 41.202411, 46.129979, 199.174496], [34.743216, 35.395008, 42.182779, 45.003143, 272.147350], [8.835680, 9.114747, 10.413997, 10.416229, 21.896036], [25.117635, 25.391281, 30.764091, 31.727574, 144.277895], [10.277922, 10.870554, 11.667284, 12.876762, 45.343093], [20.853944, 20.968147, 24.243720, 24.530710, 27.764364], [18.643271, 20.379379, 22.062686, 24.404145, 29.398139]]
### 4
fourier: [[13.818651, 15.791820, 15.929746, 16.942509, 19.448550], [13.543238, 14.440757, 14.915352, 16.161930, 39.533774], [57.788404, 58.170941, 62.081612, 68.760095, 289.021218], [29.174940, 30.169972, 31.464540, 35.204567, 190.042381], [48.523515, 49.033660, 52.366679, 56.003215, 199.656970], [35.557181, 36.210705, 36.980064, 42.678048, 169.198721], [15.021498, 15.161513, 17.223216, 21.845290, 109.438674]]
### 6
fourier: [[69.241334, 70.470012, 73.577161, 82.795648, 303.105409], [19.950616, 20.691390, 21.499032, 21.809799, 24.770378], [20.876270, 21.013904, 22.013972, 25.485761, 95.102164], [55.619008, 58.377489, 59.644260, 67.012870, 264.721055], [76.062463, 78.341500, 80.927729, 91.395173, 346.288437], [13.279422, 13.550805, 13.836597, 18.467447, 87.010923], [4.111265, 4.383868, 4.624238, 5.175402, 49.746099]]
### 8
fourier: [[37.600324, 39.451662, 39.493116, 45.340139, 182.098833], [30.262654, 31.006354, 31.211663, 36.766982, 184.850299], [149.288658, 154.604319, 156.771347, 178.455489, 636.848124], [75.869872, 76.934273, 78.098131, 90.692303, 395.220894], [59.756587, 60.740985, 62.329008, 73.028623, 312.679037], [12.588559, 13.100851, 13.315904, 16.156901, 116.595061], [16.609040, 17.649012, 17.744941, 18.125453, 51.484421]]
### 10
fourier: [[39.958965, 40.594823, 40.940176, 47.918136, 274.820479], [34.417995, 35.249284, 35.553769, 41.018977, 89.619845], [149.786760, 153.430714, 153.782049, 176.958861, 605.955853], [97.535934, 98.412603, 99.617574, 115.818923, 481.158469], [89.788328, 93.191932, 93.236046, 106.662181, 352.526668], [0.455789, 0.518563, 0.576235, 0.602953, 44.394372], [63.469423, 63.837588, 64.457559, 75.051447, 342.079193]]
### 12
fourier: [[110.324816, 110.880873, 112.380538, 128.201357, 450.767857]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.532527, -0.008588, -0.120653, 0.372237, 0.630824], [0.14185, -0.218006, 0.404364, -0.348163, -0.270393], [0.411621, -0.403859, 0.129677, 0.29542, 0.549472], [-0.477765, -0.581331, -0.580646, -0.372518, -0.0425], [0.568815, 0.303227, -0.290788, -0.237894, 0.132969], [-0.287295, -0.242807, 0.114088, 0.276515, 0.38526], [0.048635, 0.237548, 0.463732, 0.283785, -0.31697]], "network.0.bias": [-0.056362, 0.009968, 0.126013, -0.01328, -0.218089, -0.177503, -0.153297], "network.2.weight": [[0.54605, -0.605648, 0.415587, -0.071809, 0.802062, 0.361553, -0.013516], [0.459568, 0.123855, 0.50106, -0.056918, 0.398468, 0.38168, 0.336133], [-0.340068, 0.409269, 0.223289, 0.158441, 0.12572, 0.358864, -0.242352], [0.309684, -0.439515, 0.343162, -0.05854, 0.271911, 0.632239, -0.1712], [-0.165289, 0.372538, 0.049155, 0.033148, -0.04476, -0.339744, 0.248131], [-0.21859, 0.603153, -0.359626, -0.040327, -0.501264, -0.00834, 0.351237], [-0.24229, 0.683003, -0.36028, 0.096108, -0.383439, 0.090239, 0.473521]], "network.2.bias": [-0.012409, 0.303944, 0.528917, 0.298849, 0.493885, 0.333546, 0.109153], "network.4.weight": [[0.196684, -0.00975, -0.549642, 0.135776, -0.610701, 0.065852, -0.310297], [-0.280072, -0.009497, 0.284771, 0.004301, 0.334801, 0.080055, 0.176941], [0.609483, 0.469932, -0.082926, 0.498587, -0.217199, -0.577574, -0.27205], [-0.393396, -0.170547, 0.257613, -0.342738, 0.018192, 0.152356, -0.335474], [0.6118, 0.246693, -0.724543, 0.50539, -0.307392, -0.333637, -0.209407], [0.469034, 0.42527, 0.097683, -0.038448, 0.050686, -0.472416, -0.140677], [-0.427575, 0.407068, 0.433653, -0.132639, 0.335021, 0.229808, 0.409346]], "network.4.bias": [0.149754, -0.189912, 0.088025, -0.171607, -0.073294, -0.230834, 0.55388], "network.6.weight": [[0.564444, -0.346307, 0.35078, 0.053559, 0.625325, 0.40277, -0.097358], [0.253124, 0.294131, 0.00249, -0.269322, -0.403244, 0.036947, 0.520948], [0.106911, -0.147957, -0.076351, -0.022261, -0.381954, -0.043272, -0.146326], [-0.014191, 0.063236, 0.356207, -0.351014, 0.349141, 0.464576, -0.524159], [0.091871, -0.278023, 0.744186, 0.302964, 0.464779, 0.258039, -0.329893], [-0.042322, 0.454578, 0.196868, -0.224052, -0.275301, -0.087502, 0.547364], [0.074824, -0.265201, 0.036594, -0.366282, -0.283016, 0.239691, -0.220127]], "network.6.bias": [-0.183082, 0.083503, 0.369553, 0.640302, 0.142767, 0.443794, -0.17301], "network.8.weight": [[-0.083157, 0.09884, 0.165833, -0.545572, 0.013628, 0.276317, 0.146636], [-0.430505, -0.048998, 0.055867, -0.322464, 0.194589, -0.220214, -0.017316], [0.702704, -0.563258, -0.264913, 0.71324, 0.712041, -0.671852, 0.116001], [0.224173, -0.107357, 0.039087, 0.469021, 0.44961, 0.00826, -0.203162], [0.344686, 0.354309, -0.316974, 0.145957, 0.421145, 0.131489, 0.364787], [0.013018, 0.463173, 0.308275, 0.231108, -0.180889, 0.585717, 0.355775], [-0.265094, 0.09269, 0.553873, 0.297002, -0.113979, 0.534299, 0.093935]], "network.8.bias": [-0.444394, -0.098547, 0.517419, 0.409638, -0.163206, 0.458802, 0.463186], "network.10.weight": [[0.106226, 0.048338, -0.248866, -0.272043, 0.215367, -0.241619, -0.243133], [0.298885, -0.021523, 0.02979, 0.075903, 0.330443, -0.187037, -0.341579], [0.087335, -0.097383, 0.673488, 0.476008, 0.107076, -0.32336, -0.65681], [-0.030551, -0.281656, -0.307566, -0.48723, -0.2355, -0.028955, 0.126186], [-0.163864, 0.004001, 0.18216, 0.327838, 0.488474, -0.440919, -0.630847], [-0.009095, 0.122767, -0.071826, -0.042486, 0.199495, 0.034381, -0.197043], [-0.178378, 0.151365, -0.326399, -0.335136, 0.147996, -0.000696, -0.128294]], "network.10.bias": [-0.251011, -0.218141, 0.159567, -0.147819, 0.489229, -0.353785, -0.292247], "network.12.weight": [[0.311048, -0.340006, -0.456531, -0.217959, -0.377487, -0.170107, -0.179423]], "network.12.bias": [0.290096]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6940549612045288, "train_acc": 0.43, "val_loss": 0.693019688129425, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852896213531494, "train_acc": 0.58, "val_loss": 0.6840201020240784, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6705003976821899, "train_acc": 0.58, "val_loss": 0.6553263664245605, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6402151882648468, "train_acc": 0.505, "val_loss": 0.5648573637008667, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5624691247940063, "train_acc": 0.505, "val_loss": 0.48612916469573975, "val_acc": 0.48}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.47758589684963226, "train_acc": 0.65, "val_loss": 0.4447896480560303, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.469311460852623, "train_acc": 0.86, "val_loss": 0.4444141387939453, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.45776936411857605, "train_acc": 0.845, "val_loss": 0.43684670329093933, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4496414363384247, "train_acc": 0.815, "val_loss": 0.43263840675354004, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.41465140879154205, "train_acc": 0.855, "val_loss": 0.4251439571380615, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.47981125116348267, "train_acc": 0.855, "val_loss": 0.4039366543292999, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4038058966398239, "train_acc": 0.865, "val_loss": 0.38841795921325684, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.41814300417900085, "train_acc": 0.84, "val_loss": 0.3807235360145569, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.693019688129425, "final_val_loss": 0.6553263664245605, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5648573637008667, "final_val_loss": 0.3807235360145569, "initial_val_acc": 0.48, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
1
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.019119242316001303, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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[
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],
[
0.444877,
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],
[
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],
[
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]
}
## Activation Signature
### 0
fourier: [[19.894860, 20.279078, 23.362255, 26.006243, 132.601268], [25.194370, 25.421897, 30.793058, 33.780405, 219.284541], [18.902309, 19.436765, 19.640993, 24.180657, 73.169833], [20.228130, 20.567323, 22.677624, 26.783678, 28.567112], [12.660138, 13.551450, 14.287381, 16.116807, 16.342166], [25.713531, 27.713904, 30.480989, 33.520348, 230.562905]]
### 2
fourier: [[8.836132, 9.379965, 9.566921, 9.582383, 85.075471], [9.581619, 10.255476, 10.686693, 11.736298, 80.364824], [8.975155, 9.700928, 10.893072, 11.767955, 13.188959], [6.855034, 7.033819, 7.269163, 8.808408, 14.985385], [8.891686, 9.464777, 9.495745, 9.567777, 88.922799], [9.811547, 13.689532, 15.671055, 16.433742, 81.708344]]
### 4
fourier: [[3.500327, 3.949093, 4.843928, 5.319395, 57.935501], [2.176085, 2.851323, 3.381766, 3.621666, 22.706448], [1.517241, 1.551647, 1.610664, 1.949002, 8.534282], [2.742621, 2.882993, 4.030734, 4.119908, 44.078834], [1.387385, 1.918392, 1.940004, 2.466097, 24.928429], [3.150953, 3.597430, 4.639009, 4.718723, 59.112374]]
### 6
fourier: [[4.026067, 4.477917, 5.646690, 6.043120, 85.163376], [2.305922, 2.611530, 3.135503, 3.476818, 30.543240], [1.305414, 1.398985, 1.691438, 1.930265, 20.969831], [3.446001, 3.630288, 4.691890, 5.028267, 79.055392], [0.319923, 0.327014, 0.336301, 0.375913, 5.487691], [3.061045, 3.391452, 4.364078, 4.635578, 69.464790]]
### 8
fourier: [[4.523699, 4.787034, 6.097042, 6.626563, 62.730791]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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]
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.894860, 20.279078, 23.362255, 26.006243, 132.601268], [25.194370, 25.421897, 30.793058, 33.780405, 219.284541], [18.902309, 19.436765, 19.640993, 24.180657, 73.169833], [20.228130, 20.567323, 22.677624, 26.783678, 28.567112], [12.660138, 13.551450, 14.287381, 16.116807, 16.342166], [25.713531, 27.713904, 30.480989, 33.520348, 230.562905]]
### 2
fourier: [[8.836132, 9.379965, 9.566921, 9.582383, 85.075471], [9.581619, 10.255476, 10.686693, 11.736298, 80.364824], [8.975155, 9.700928, 10.893072, 11.767955, 13.188959], [6.855034, 7.033819, 7.269163, 8.808408, 14.985385], [8.891686, 9.464777, 9.495745, 9.567777, 88.922799], [9.811547, 13.689532, 15.671055, 16.433742, 81.708344]]
### 4
fourier: [[3.500327, 3.949093, 4.843928, 5.319395, 57.935501], [2.176085, 2.851323, 3.381766, 3.621666, 22.706448], [1.517241, 1.551647, 1.610664, 1.949002, 8.534282], [2.742621, 2.882993, 4.030734, 4.119908, 44.078834], [1.387385, 1.918392, 1.940004, 2.466097, 24.928429], [3.150953, 3.597430, 4.639009, 4.718723, 59.112374]]
### 6
fourier: [[4.026067, 4.477917, 5.646690, 6.043120, 85.163376], [2.305922, 2.611530, 3.135503, 3.476818, 30.543240], [1.305414, 1.398985, 1.691438, 1.930265, 20.969831], [3.446001, 3.630288, 4.691890, 5.028267, 79.055392], [0.319923, 0.327014, 0.336301, 0.375913, 5.487691], [3.061045, 3.391452, 4.364078, 4.635578, 69.464790]]
### 8
fourier: [[4.523699, 4.787034, 6.097042, 6.626563, 62.730791]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.212991, -0.313221, 0.137815, -0.501964, -0.212779], [-0.219304, 0.03722, -0.521926, -0.5352, -0.17338], [0.457835, 0.19342, 0.07606, -0.181607, -0.153392], [0.444877, -0.276857, 0.369788, -0.243087, -0.151599], [-0.275086, -0.026804, 0.197148, 0.18607, -0.275863], [-0.139794, -0.0372, 0.206377, 0.43998, 0.677297]], "network.0.bias": [-0.116664, 0.22038, 0.310543, -0.190316, -0.203136, 0.593618], "network.2.weight": [[0.112299, 0.321055, -0.150767, 0.32421, 0.02298, -0.296143], [-0.307225, -0.153923, 0.023366, 0.106638, 0.135045, -0.338098], [0.034542, 0.163823, -0.276538, -0.316838, -0.419963, 0.193176], [-0.032634, -0.26626, -0.379844, 0.049524, -0.358898, 0.117517], [-0.137437, 0.276582, -0.074652, 0.261323, -0.014636, -0.297506], [0.110437, 0.027622, -0.142732, -0.189923, 0.343513, -0.394283]], "network.2.bias": [-0.207184, -0.13731, -0.112728, -0.121442, -0.281024, 0.220944], "network.4.weight": [[-0.539675, -0.269463, -0.560726, -0.034709, -0.405682, -0.457673], [0.107138, 0.034732, 0.19559, 0.405181, 0.195007, 0.567337], [-0.585728, -0.426504, -0.197462, 0.099564, -0.291907, -0.037711], [-0.412785, 0.069786, -0.378635, -0.236946, -0.193701, -0.189861], [-0.015004, 0.015074, 0.3505, -0.16422, 0.140709, 0.493939], [-0.367554, -0.203832, -0.198627, -0.599725, -0.542305, -0.420023]], "network.4.bias": [0.500061, -0.16749, -0.053877, 0.441248, -0.243658, 0.488397], "network.6.weight": [[0.33226, -0.496246, 0.297618, 0.235706, -0.485617, 0.641905], [-0.392533, 0.394066, -0.273973, 0.234261, 0.114105, -0.395679], [-0.365257, 0.18369, -0.259591, 0.011459, 0.0476, 0.044444], [0.617895, 0.113723, -0.14778, 0.185417, 0.207164, 0.612043], [0.121814, 0.395788, 0.027589, 0.240188, 0.343463, -0.014293], [0.323817, -0.343763, 0.004168, 0.504119, -0.608687, 0.189283]], "network.6.bias": [0.265196, 0.034389, -0.043228, 0.240906, -0.127366, 0.246031], "network.8.weight": [[-0.480462, 0.170579, 0.313318, -0.206584, -0.059553, -0.582244]], "network.8.bias": [0.239538]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7226835191249847, "train_acc": 0.425, "val_loss": 0.6928030252456665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7008070349693298, "train_acc": 0.425, "val_loss": 0.6858577728271484, "val_acc": 0.88}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6851215362548828, "train_acc": 0.685, "val_loss": 0.6800218820571899, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6649401485919952, "train_acc": 0.575, "val_loss": 0.6705746650695801, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6510347425937653, "train_acc": 0.575, "val_loss": 0.6464852690696716, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6424163281917572, "train_acc": 0.525, "val_loss": 0.5864282250404358, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5881559252738953, "train_acc": 0.775, "val_loss": 0.518154501914978, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5365661680698395, "train_acc": 0.835, "val_loss": 0.4514089524745941, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4712718725204468, "train_acc": 0.835, "val_loss": 0.4069666564464569, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.41988661885261536, "train_acc": 0.86, "val_loss": 0.42357373237609863, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3789648115634918, "train_acc": 0.85, "val_loss": 0.34573912620544434, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.33206671476364136, "train_acc": 0.85, "val_loss": 0.32399260997772217, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.35192015767097473, "train_acc": 0.845, "val_loss": 0.33109310269355774, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3312777578830719, "train_acc": 0.855, "val_loss": 0.41086456179618835, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.36669476330280304, "train_acc": 0.865, "val_loss": 0.35528868436813354, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6928030252456665, "final_val_loss": 0.6464852690696716, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5864282250404358, "final_val_loss": 0.35528868436813354, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
2
|
{"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9451, "learning_rate": 0.07352170370310572, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.780001, 26.445519, 28.884864, 29.932559, 192.143096], [37.522940, 37.915636, 39.407108, 43.661955, 224.361521], [18.778436, 19.518605, 19.568951, 22.488656, 42.539715], [42.137199, 42.381991, 45.352526, 45.962375, 59.117496], [36.522290, 36.894504, 41.863646, 44.502690, 295.146933], [16.676502, 18.248927, 19.151383, 20.374897, 63.162612], [40.297459, 40.469734, 43.160487, 43.926349, 181.663065]]
### 2
fourier: [[10.259479, 10.438037, 10.883195, 11.455415, 13.428234], [15.929331, 17.259886, 18.346879, 20.624065, 98.864212], [6.025844, 6.455239, 7.474633, 8.607352, 14.433498], [30.263034, 30.700511, 32.882544, 33.359945, 217.989688], [12.543425, 13.075895, 13.146896, 14.005252, 19.424313], [25.587830, 26.159804, 28.830035, 30.572485, 202.938253], [9.249044, 9.515774, 10.493911, 11.626124, 24.722521]]
### 4
fourier: [[20.336644, 21.051058, 21.318042, 26.288254, 90.926861], [34.059173, 36.047393, 37.911622, 42.993594, 251.746032], [37.456983, 39.513698, 41.730925, 47.415404, 284.401585], [6.525796, 6.725557, 6.815865, 7.980023, 8.212054], [4.952122, 5.161641, 5.590594, 5.756533, 9.448708], [4.354498, 4.567505, 4.710304, 4.730569, 27.435410], [25.873164, 26.507103, 28.140326, 32.004881, 219.349749]]
### 6
fourier: [[14.639904, 16.433552, 17.188075, 17.971064, 66.616682], [32.773068, 33.273904, 36.844793, 41.283455, 200.741356], [4.674952, 4.747130, 4.769293, 4.910590, 5.321032], [31.986847, 34.010166, 36.544534, 38.973614, 223.028071], [12.046083, 13.503472, 14.787375, 15.639625, 52.880983], [13.312694, 15.230016, 15.860968, 16.148334, 92.753896], [45.004996, 46.213253, 50.055610, 58.008546, 328.438607]]
### 8
fourier: [[24.374903, 25.264611, 27.081444, 31.380196, 172.434747], [35.012611, 35.389289, 38.321351, 43.306735, 245.016882], [25.863985, 27.185132, 29.027445, 32.638238, 149.442304], [76.771073, 78.545707, 84.690425, 96.327525, 498.647108], [23.563067, 23.955252, 25.973118, 29.403741, 123.978915], [18.797472, 19.335740, 20.938659, 23.712177, 86.644597], [25.278297, 25.521255, 27.363732, 32.461461, 133.882767]]
### 10
fourier: [[56.601429, 58.120563, 61.802160, 70.380281, 332.671559]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.780001, 26.445519, 28.884864, 29.932559, 192.143096], [37.522940, 37.915636, 39.407108, 43.661955, 224.361521], [18.778436, 19.518605, 19.568951, 22.488656, 42.539715], [42.137199, 42.381991, 45.352526, 45.962375, 59.117496], [36.522290, 36.894504, 41.863646, 44.502690, 295.146933], [16.676502, 18.248927, 19.151383, 20.374897, 63.162612], [40.297459, 40.469734, 43.160487, 43.926349, 181.663065]]
### 2
fourier: [[10.259479, 10.438037, 10.883195, 11.455415, 13.428234], [15.929331, 17.259886, 18.346879, 20.624065, 98.864212], [6.025844, 6.455239, 7.474633, 8.607352, 14.433498], [30.263034, 30.700511, 32.882544, 33.359945, 217.989688], [12.543425, 13.075895, 13.146896, 14.005252, 19.424313], [25.587830, 26.159804, 28.830035, 30.572485, 202.938253], [9.249044, 9.515774, 10.493911, 11.626124, 24.722521]]
### 4
fourier: [[20.336644, 21.051058, 21.318042, 26.288254, 90.926861], [34.059173, 36.047393, 37.911622, 42.993594, 251.746032], [37.456983, 39.513698, 41.730925, 47.415404, 284.401585], [6.525796, 6.725557, 6.815865, 7.980023, 8.212054], [4.952122, 5.161641, 5.590594, 5.756533, 9.448708], [4.354498, 4.567505, 4.710304, 4.730569, 27.435410], [25.873164, 26.507103, 28.140326, 32.004881, 219.349749]]
### 6
fourier: [[14.639904, 16.433552, 17.188075, 17.971064, 66.616682], [32.773068, 33.273904, 36.844793, 41.283455, 200.741356], [4.674952, 4.747130, 4.769293, 4.910590, 5.321032], [31.986847, 34.010166, 36.544534, 38.973614, 223.028071], [12.046083, 13.503472, 14.787375, 15.639625, 52.880983], [13.312694, 15.230016, 15.860968, 16.148334, 92.753896], [45.004996, 46.213253, 50.055610, 58.008546, 328.438607]]
### 8
fourier: [[24.374903, 25.264611, 27.081444, 31.380196, 172.434747], [35.012611, 35.389289, 38.321351, 43.306735, 245.016882], [25.863985, 27.185132, 29.027445, 32.638238, 149.442304], [76.771073, 78.545707, 84.690425, 96.327525, 498.647108], [23.563067, 23.955252, 25.973118, 29.403741, 123.978915], [18.797472, 19.335740, 20.938659, 23.712177, 86.644597], [25.278297, 25.521255, 27.363732, 32.461461, 133.882767]]
### 10
fourier: [[56.601429, 58.120563, 61.802160, 70.380281, 332.671559]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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21.318042279533024, 26.28825380627806, 90.92686055600643]}, "1": {"fourier": [34.05917307115143, 36.04739327766241, 37.91162236810238, 42.99359402405017, 251.74603218585253]}, "2": {"fourier": [37.45698254382088, 39.513698055103596, 41.73092520987779, 47.41540398997817, 284.4015845954418]}, "3": {"fourier": [6.525795936792987, 6.725556776888612, 6.815865450805154, 7.980023429699015, 8.212054010171363]}, "4": {"fourier": [4.952122483994447, 5.161641122978325, 5.590594105288566, 5.756532775264074, 9.448707655072212]}, "5": {"fourier": [4.354497602062401, 4.567505025622141, 4.710303583801329, 4.730568856194777, 27.435409605503082]}, "6": {"fourier": [25.87316393494829, 26.50710335692444, 28.140326372263935, 32.00488138818019, 219.34974889457226]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [14.639904482138842, 16.433551874638237, 17.188074667320226, 17.971064144656697, 66.61668212711811]}, "1": 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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916628181934357, "train_acc": 0.545, "val_loss": 0.6948902606964111, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656907469034195, "train_acc": 0.56, "val_loss": 0.6221851110458374, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5669578015804291, "train_acc": 0.57, "val_loss": 0.46326887607574463, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.36081814765930176, "train_acc": 0.935, "val_loss": 0.34990695118904114, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.33851301670074463, "train_acc": 0.865, "val_loss": 0.4313884973526001, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24751634150743484, "train_acc": 0.92, "val_loss": 0.5466116070747375, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22474919259548187, "train_acc": 0.91, "val_loss": 0.4689188301563263, "val_acc": 0.84}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6948902606964111, "final_val_loss": 0.6221851110458374, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.46326887607574463, "final_val_loss": 0.4689188301563263, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.31999999999999995, "first_improvement_epoch": 1}}
|
3
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.86, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9859, "learning_rate": 0.015384002471586396, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
0.74621,
0.228162,
-0.002776,
0.31816,
0.620733
],
[
0.357284,
-0.130418,
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0.454538,
0.176886
]
],
"network.2.bias": [
-0.0242,
0.008666,
-0.066052,
-0.083454,
-0.247497
],
"network.4.weight": [
[
0.028013,
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0.186128
],
[
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],
[
0.797567,
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[
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],
[
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]
],
"network.4.bias": [
-0.351487,
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-0.060313,
0.014951
],
"network.6.weight": [
[
0.390837,
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-0.381474,
-0.334873
],
[
-0.390806,
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0.086452,
0.105742
],
[
0.405974,
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0.717854
],
[
-0.213986,
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0.202157
],
[
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]
],
"network.6.bias": [
-0.026605,
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0.411154,
0.393598
],
"network.8.weight": [
[
-0.366589,
0.108788,
-0.632996,
0.34278,
0.114973
]
],
"network.8.bias": [
0.157994
]
}
## Activation Signature
### 0
fourier: [[20.330010, 22.752328, 26.059287, 26.542210, 90.256187], [24.296492, 24.565869, 24.587849, 26.151268, 176.539295], [27.471772, 28.256624, 29.222937, 32.669091, 171.742421], [27.741057, 29.686198, 30.527724, 30.658288, 35.193061], [27.287081, 28.137460, 28.880484, 32.703308, 34.265392]]
### 2
fourier: [[29.935099, 30.211064, 33.763059, 37.005793, 183.616194], [10.948788, 10.979886, 11.082227, 13.226420, 41.975265], [27.025734, 27.510969, 30.251748, 35.405263, 171.723387], [27.603145, 28.208573, 31.908557, 32.232268, 135.438536], [15.690366, 16.288634, 17.826516, 19.113160, 47.193890]]
### 4
fourier: [[2.205189, 2.244418, 2.316174, 2.430328, 37.394333], [4.435154, 4.661732, 4.678978, 6.073438, 55.038508], [48.495887, 52.028060, 57.282912, 61.002122, 287.535458], [33.531876, 35.822468, 38.931140, 42.818086, 204.118270], [43.114404, 45.350359, 49.783611, 53.223710, 248.346210]]
### 6
fourier: [[41.000092, 43.649006, 47.633182, 51.424633, 245.072689], [10.232274, 10.871688, 12.114530, 12.680249, 72.687809], [70.495497, 74.955306, 81.954677, 88.132039, 404.664256], [15.984437, 17.230330, 18.481317, 20.657930, 62.687127], [4.792653, 5.161780, 5.480291, 6.112224, 17.292335]]
### 8
fourier: [[45.283496, 47.788929, 52.488777, 56.663473, 237.192383]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.133872,
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],
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],
[
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0.229654,
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],
[
0.588696,
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0.131112,
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0.197309
],
[
0.022387,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
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[
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[
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"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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0.108788,
-0.632996,
0.34278,
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]
],
"network.8.bias": [
0.157994
]
}
## Activation Signature
### 0
fourier: [[20.330010, 22.752328, 26.059287, 26.542210, 90.256187], [24.296492, 24.565869, 24.587849, 26.151268, 176.539295], [27.471772, 28.256624, 29.222937, 32.669091, 171.742421], [27.741057, 29.686198, 30.527724, 30.658288, 35.193061], [27.287081, 28.137460, 28.880484, 32.703308, 34.265392]]
### 2
fourier: [[29.935099, 30.211064, 33.763059, 37.005793, 183.616194], [10.948788, 10.979886, 11.082227, 13.226420, 41.975265], [27.025734, 27.510969, 30.251748, 35.405263, 171.723387], [27.603145, 28.208573, 31.908557, 32.232268, 135.438536], [15.690366, 16.288634, 17.826516, 19.113160, 47.193890]]
### 4
fourier: [[2.205189, 2.244418, 2.316174, 2.430328, 37.394333], [4.435154, 4.661732, 4.678978, 6.073438, 55.038508], [48.495887, 52.028060, 57.282912, 61.002122, 287.535458], [33.531876, 35.822468, 38.931140, 42.818086, 204.118270], [43.114404, 45.350359, 49.783611, 53.223710, 248.346210]]
### 6
fourier: [[41.000092, 43.649006, 47.633182, 51.424633, 245.072689], [10.232274, 10.871688, 12.114530, 12.680249, 72.687809], [70.495497, 74.955306, 81.954677, 88.132039, 404.664256], [15.984437, 17.230330, 18.481317, 20.657930, 62.687127], [4.792653, 5.161780, 5.480291, 6.112224, 17.292335]]
### 8
fourier: [[45.283496, 47.788929, 52.488777, 56.663473, 237.192383]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.490584, -0.00563, 0.319729, 0.133872, -0.346727], [-0.103028, -0.084305, -0.143168, -0.464692, -0.380329], [0.768259, 0.135435, 0.004555, 0.229654, -0.385615], [0.588696, -0.004258, 0.131112, -0.502869, 0.197309], [0.022387, 0.049253, 0.715397, -0.517478, -0.206524]], "network.0.bias": [-0.124728, 0.084928, 0.678998, 0.175504, -0.061403], "network.2.weight": [[0.45404, -0.185016, 0.609076, 0.279465, 0.164092], [-0.107602, 0.009283, 0.043065, 0.06165, 0.5785], [0.49012, -0.103306, 0.539643, 0.073985, 0.402948], [0.74621, 0.228162, -0.002776, 0.31816, 0.620733], [0.357284, -0.130418, -0.082328, 0.454538, 0.176886]], "network.2.bias": [-0.0242, 0.008666, -0.066052, -0.083454, -0.247497], "network.4.weight": [[0.028013, 0.312583, -0.064444, -0.171507, 0.186128], [0.180827, 0.054785, -0.261857, -0.272733, 0.337052], [0.797567, 0.563818, 0.137688, 0.655687, 0.112381], [0.502159, 0.403582, 0.619295, -0.212464, 0.408551], [0.564177, -0.105083, 0.538794, 0.161385, 0.599117]], "network.4.bias": [-0.351487, -0.300211, -0.023558, -0.060313, 0.014951], "network.6.weight": [[0.390837, -0.374882, -0.283566, -0.381474, -0.334873], [-0.390806, -0.397559, -0.360419, 0.086452, 0.105742], [0.405974, 0.299639, 0.543026, 0.393541, 0.717854], [-0.213986, -0.03172, -0.032995, -0.687058, 0.202157], [0.219681, 0.139951, -0.512758, 0.294143, 0.278773]], "network.6.bias": [-0.026605, -0.14395, -0.113505, 0.411154, 0.393598], "network.8.weight": [[-0.366589, 0.108788, -0.632996, 0.34278, 0.114973]], "network.8.bias": [0.157994]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973071992397308, "train_acc": 0.455, "val_loss": 0.7012566328048706, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6948840916156769, "train_acc": 0.465, "val_loss": 0.6941952705383301, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6907375156879425, "train_acc": 0.545, "val_loss": 0.6863901019096375, "val_acc": 0.64}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6879516839981079, "train_acc": 0.545, "val_loss": 0.6768937706947327, "val_acc": 0.64}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6836244463920593, "train_acc": 0.545, "val_loss": 0.6647509932518005, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6864051222801208, "train_acc": 0.465, "val_loss": 0.6539306640625, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.664957731962204, "train_acc": 0.465, "val_loss": 0.6319841146469116, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6367122530937195, "train_acc": 0.525, "val_loss": 0.5913990139961243, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5929924547672272, "train_acc": 0.8, "val_loss": 0.5391824841499329, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5497379004955292, "train_acc": 0.85, "val_loss": 0.48523783683776855, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5030532777309418, "train_acc": 0.83, "val_loss": 0.44129738211631775, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.48471327126026154, "train_acc": 0.84, "val_loss": 0.4045620858669281, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.43414998054504395, "train_acc": 0.86, "val_loss": 0.37801170349121094, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.4018976092338562, "train_acc": 0.89, "val_loss": 0.3526187241077423, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.372944712638855, "train_acc": 0.9, "val_loss": 0.3303980231285095, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7012566328048706, "final_val_loss": 0.6647509932518005, "initial_val_acc": 0.36, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6539306640625, "final_val_loss": 0.3303980231285095, "initial_val_acc": 0.64, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 12}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
4
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4854, "learning_rate": 0.09414589333639692, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.020692,
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0.075373,
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],
[
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0.110873,
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[
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[
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],
[
-0.341909,
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[
0.005497,
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## Activation Signature
### 0
fourier: [[19.333642, 19.518000, 22.458752, 25.777915, 182.424958], [28.600942, 29.070845, 30.291533, 31.600757, 123.991215], [20.645746, 22.821425, 22.991149, 23.246510, 59.616262], [30.048121, 32.566662, 34.039622, 38.145512, 175.806779], [21.611664, 22.245804, 26.091783, 26.334799, 26.457979], [24.306618, 25.628002, 29.807172, 30.142874, 235.612087], [23.423922, 23.814901, 28.615617, 29.418931, 47.565534], [25.313468, 26.133300, 26.717423, 26.800134, 81.356713]]
### 2
fourier: [[14.253677, 15.400921, 15.628642, 20.579092, 150.752914], [15.858093, 17.244323, 18.092314, 18.109106, 19.314918], [18.007437, 18.075103, 18.925236, 20.938304, 25.566078], [21.746439, 22.903604, 23.025498, 29.135445, 247.081152], [28.084637, 29.724193, 31.652763, 43.258036, 75.187383], [34.353883, 35.016718, 36.123987, 46.357339, 151.095363], [37.631773, 38.040771, 38.789020, 54.681335, 114.867529], [24.573029, 25.068696, 25.197923, 30.373347, 98.865981]]
### 4
fourier: [[58.409171, 58.918131, 63.990883, 74.430277, 304.326805], [60.122534, 60.343988, 66.312250, 77.069832, 342.816209], [14.411476, 14.659718, 16.122013, 18.130431, 50.806417], [33.188151, 33.563597, 37.804728, 45.726861, 178.224296], [19.448834, 21.097559, 22.985769, 25.656611, 170.469566], [9.824057, 9.911635, 10.097163, 10.344473, 47.041090], [0.768924, 1.104460, 1.217463, 1.243637, 32.407142], [11.490416, 11.825979, 12.598457, 14.064622, 90.109703]]
### 6
fourier: [[38.486858, 38.670214, 42.732516, 49.579206, 183.655095], [19.853696, 20.024719, 21.861016, 24.810803, 134.866193], [12.997586, 13.327442, 14.628649, 16.178508, 79.411926], [14.327744, 14.409157, 15.598471, 18.629121, 115.382514], [51.877222, 52.079355, 57.085184, 67.902986, 287.722601], [19.426444, 19.632676, 21.243930, 24.838000, 126.401144], [51.991449, 52.288633, 57.778907, 67.847617, 251.865241], [52.889471, 53.231174, 58.182335, 68.803191, 304.591213]]
### 8
fourier: [[24.585308, 24.608388, 26.441323, 31.291888, 108.861972]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[19.333642, 19.518000, 22.458752, 25.777915, 182.424958], [28.600942, 29.070845, 30.291533, 31.600757, 123.991215], [20.645746, 22.821425, 22.991149, 23.246510, 59.616262], [30.048121, 32.566662, 34.039622, 38.145512, 175.806779], [21.611664, 22.245804, 26.091783, 26.334799, 26.457979], [24.306618, 25.628002, 29.807172, 30.142874, 235.612087], [23.423922, 23.814901, 28.615617, 29.418931, 47.565534], [25.313468, 26.133300, 26.717423, 26.800134, 81.356713]]
### 2
fourier: [[14.253677, 15.400921, 15.628642, 20.579092, 150.752914], [15.858093, 17.244323, 18.092314, 18.109106, 19.314918], [18.007437, 18.075103, 18.925236, 20.938304, 25.566078], [21.746439, 22.903604, 23.025498, 29.135445, 247.081152], [28.084637, 29.724193, 31.652763, 43.258036, 75.187383], [34.353883, 35.016718, 36.123987, 46.357339, 151.095363], [37.631773, 38.040771, 38.789020, 54.681335, 114.867529], [24.573029, 25.068696, 25.197923, 30.373347, 98.865981]]
### 4
fourier: [[58.409171, 58.918131, 63.990883, 74.430277, 304.326805], [60.122534, 60.343988, 66.312250, 77.069832, 342.816209], [14.411476, 14.659718, 16.122013, 18.130431, 50.806417], [33.188151, 33.563597, 37.804728, 45.726861, 178.224296], [19.448834, 21.097559, 22.985769, 25.656611, 170.469566], [9.824057, 9.911635, 10.097163, 10.344473, 47.041090], [0.768924, 1.104460, 1.217463, 1.243637, 32.407142], [11.490416, 11.825979, 12.598457, 14.064622, 90.109703]]
### 6
fourier: [[38.486858, 38.670214, 42.732516, 49.579206, 183.655095], [19.853696, 20.024719, 21.861016, 24.810803, 134.866193], [12.997586, 13.327442, 14.628649, 16.178508, 79.411926], [14.327744, 14.409157, 15.598471, 18.629121, 115.382514], [51.877222, 52.079355, 57.085184, 67.902986, 287.722601], [19.426444, 19.632676, 21.243930, 24.838000, 126.401144], [51.991449, 52.288633, 57.778907, 67.847617, 251.865241], [52.889471, 53.231174, 58.182335, 68.803191, 304.591213]]
### 8
fourier: [[24.585308, 24.608388, 26.441323, 31.291888, 108.861972]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.020692, -0.651551, 0.075373, -0.049835, -0.175731], [-0.490529, -0.340971, 0.110873, 0.553264, 0.606139], [-0.087405, -0.406463, 0.12351, 0.652596, -0.381449], [0.893046, -0.031361, 0.078451, 0.366671, -0.172915], [-0.341909, -0.181946, -0.162101, 0.564754, -0.064637], [0.005497, -0.442614, -0.091421, -0.409622, -0.321745], [-0.375175, 0.045922, -0.290128, 0.327733, -0.295627], [-0.490387, 0.063055, -0.049087, 0.17886, 0.712208]], "network.0.bias": [-0.699266, 0.443823, 0.324839, 0.16229, -0.328329, -0.352013, 0.122544, 0.239916], "network.2.weight": [[-0.479875, -0.004748, -0.269473, -0.361379, -0.235998, 0.046999, -0.361028, -0.242454], [-0.229346, -0.235581, 0.429385, 0.338963, -0.026256, -0.260977, -0.416519, -0.242195], [-0.341816, 0.034091, 0.599171, -0.271976, 0.698023, 0.177662, -0.215815, 0.144467], [0.048361, -0.192044, -0.203077, -0.56429, -0.305309, 0.003926, -0.289593, -0.338048], [0.465371, 0.457431, 0.569819, -0.500858, 0.547041, -0.114418, -0.009211, 0.159923], [-0.260898, 0.482687, 0.7342, -0.269168, 0.667262, -0.33238, 0.030264, 0.42472], [-0.324823, 0.652147, 0.526026, -0.562716, 0.935478, -0.12036, 0.059044, 0.194735], [-0.057856, 0.447569, 0.456576, -0.119793, 0.655062, -0.351053, -0.187033, 0.117999]], "network.2.bias": [-0.205857, -0.316097, -0.476759, -0.509702, 0.089941, -0.084686, 0.118202, -0.224007], "network.4.weight": [[0.005203, 0.297972, 0.145057, 0.008915, 0.639092, 0.671256, 0.391214, 0.457129], [0.048379, 0.473792, 0.045427, 0.535599, 0.733297, 0.76602, 0.402803, 0.365211], [0.385767, -0.247329, 0.106896, 0.431539, 0.243605, -0.022971, -0.436741, -0.33044], [0.239516, 0.322398, -0.179253, 0.009443, 0.848964, 0.406451, 0.358902, -0.236295], [-0.153422, -0.481724, 0.091868, -0.226576, -0.233929, -0.152361, -0.350272, -0.065038], [0.328131, 0.205971, -0.411153, 0.293737, 0.128735, 0.211271, -0.315583, -0.161906], [-0.18699, -0.097596, -0.013128, 0.169829, -0.184505, 0.147711, -0.048135, 0.027359], [0.252833, 0.03447, -0.283017, -0.071841, -0.36452, -0.025828, -0.037222, 0.088584]], "network.4.bias": [-0.111567, 0.102418, 0.360941, -0.214437, -0.503371, -0.189103, -0.311589, -0.39375], "network.6.weight": [[0.248079, 0.355103, -0.275881, 0.07508, -0.233638, -0.088319, 0.001423, 0.126851], [-0.131862, -0.331597, 0.086474, 0.234137, 0.3095, -0.238337, -0.302186, -0.232704], [-0.2999, -0.053468, 0.308114, 0.23342, -0.35204, -0.337733, 0.283981, -0.339767], [0.115329, -0.293754, -0.257193, -0.106409, -0.254996, -0.044153, 0.042363, 0.280874], [-0.361535, -0.221839, -0.313945, -0.529774, -0.052776, -0.555494, -0.069123, 0.067854], [-0.180653, -0.156951, -0.107795, 0.013709, 0.282067, -0.025399, 0.111302, -0.226032], [0.38978, 0.264957, -0.22169, 0.397582, -0.098587, 0.056463, -0.010884, -0.131857], [-0.074418, -0.624164, -0.382713, -0.340753, -0.270624, -0.276418, 0.274616, -0.082277]], "network.6.bias": [-0.278431, -0.257928, -0.145847, -0.320486, -0.035375, -0.2139, -0.307531, -0.03992], "network.8.weight": [[-0.248132, -0.249554, 0.131497, -0.351041, 0.094175, -0.212405, -0.285732, 0.010686]], "network.8.bias": [0.116247]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972275674343109, "train_acc": 0.565, "val_loss": 0.6631535291671753, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6324674189090729, "train_acc": 0.565, "val_loss": 0.5520926117897034, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6268877387046814, "train_acc": 0.485, "val_loss": 0.6345001459121704, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6289696097373962, "train_acc": 0.65, "val_loss": 0.4009753465652466, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4610057771205902, "train_acc": 0.875, "val_loss": 0.4616139233112335, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.39319078624248505, "train_acc": 0.905, "val_loss": 0.31102287769317627, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3505774438381195, "train_acc": 0.895, "val_loss": 0.28951141238212585, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.326407253742218, "train_acc": 0.88, "val_loss": 0.2592458426952362, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.279848650097847, "train_acc": 0.89, "val_loss": 0.3373497724533081, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3128812164068222, "train_acc": 0.91, "val_loss": 0.27206963300704956, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.28574925661087036, "train_acc": 0.905, "val_loss": 0.2719041109085083, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6631535291671753, "final_val_loss": 0.5520926117897034, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6345001459121704, "final_val_loss": 0.2719041109085083, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.3799999999999999, "first_improvement_epoch": 1}}
|
5
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.68, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.09363094593146719, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.0753
],
[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[27.476031, 28.667703, 30.080435, 37.457144, 57.286178], [16.012570, 16.621874, 18.283121, 19.158511, 101.680914], [21.050371, 21.840614, 22.568467, 27.156694, 54.218007], [21.417931, 21.820629, 22.383376, 24.458430, 26.999214], [20.058744, 22.610332, 22.696731, 24.115968, 107.389378]]
### 2
fourier: [[10.225397, 10.486088, 10.628317, 13.326365, 85.252838], [12.960431, 14.658314, 16.247973, 18.135024, 40.335139], [3.407128, 3.416844, 3.866126, 4.016277, 56.538303], [16.108105, 17.019122, 17.126850, 17.205182, 51.550891], [5.750303, 6.185852, 6.600524, 8.209970, 24.042568]]
### 4
fourier: [[5.167193, 6.053736, 6.115134, 6.287086, 33.939417], [2.662140, 2.971680, 3.019938, 3.247300, 72.402764], [8.329681, 8.473186, 8.920279, 9.768523, 93.473086], [6.421775, 6.883780, 7.669991, 9.726426, 23.411209], [5.848433, 5.885763, 6.978538, 7.053212, 23.633471]]
### 6
fourier: [[2.304966, 2.338498, 2.749897, 3.156173, 6.805523], [1.198176, 1.265129, 1.460272, 1.549752, 47.926659], [1.695478, 1.733957, 2.113089, 2.276753, 50.900413], [2.271255, 2.345925, 2.692997, 3.072019, 18.691757], [0.751549, 0.798594, 0.804400, 0.997093, 45.171380]]
### 8
fourier: [[1.932892, 1.979020, 2.340613, 2.624736, 38.939777]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
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],
[
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[
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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}
## Activation Signature
### 0
fourier: [[27.476031, 28.667703, 30.080435, 37.457144, 57.286178], [16.012570, 16.621874, 18.283121, 19.158511, 101.680914], [21.050371, 21.840614, 22.568467, 27.156694, 54.218007], [21.417931, 21.820629, 22.383376, 24.458430, 26.999214], [20.058744, 22.610332, 22.696731, 24.115968, 107.389378]]
### 2
fourier: [[10.225397, 10.486088, 10.628317, 13.326365, 85.252838], [12.960431, 14.658314, 16.247973, 18.135024, 40.335139], [3.407128, 3.416844, 3.866126, 4.016277, 56.538303], [16.108105, 17.019122, 17.126850, 17.205182, 51.550891], [5.750303, 6.185852, 6.600524, 8.209970, 24.042568]]
### 4
fourier: [[5.167193, 6.053736, 6.115134, 6.287086, 33.939417], [2.662140, 2.971680, 3.019938, 3.247300, 72.402764], [8.329681, 8.473186, 8.920279, 9.768523, 93.473086], [6.421775, 6.883780, 7.669991, 9.726426, 23.411209], [5.848433, 5.885763, 6.978538, 7.053212, 23.633471]]
### 6
fourier: [[2.304966, 2.338498, 2.749897, 3.156173, 6.805523], [1.198176, 1.265129, 1.460272, 1.549752, 47.926659], [1.695478, 1.733957, 2.113089, 2.276753, 50.900413], [2.271255, 2.345925, 2.692997, 3.072019, 18.691757], [0.751549, 0.798594, 0.804400, 0.997093, 45.171380]]
### 8
fourier: [[1.932892, 1.979020, 2.340613, 2.624736, 38.939777]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.806191, 0.058736, 0.106688, 0.155203, -0.106613], [-0.18633, 0.200702, 0.455795, 0.140616, 0.0753], [0.187287, -0.254269, -0.617336, 0.287278, 0.16774], [0.123714, -0.502213, 0.359428, 0.076761, -0.623068], [-0.047339, 0.545939, 0.130231, 0.150369, -0.180265]], "network.0.bias": [-0.164478, -0.350575, 0.094459, 0.342466, -0.114864], "network.2.weight": [[-0.016052, -0.546835, 0.170126, 0.30434, -0.108982], [0.075998, -0.642997, -0.12049, -0.533819, 0.539945], [-0.222866, -0.165909, 0.335092, 0.294867, 0.196344], [0.280217, 0.121205, -0.723858, -0.684204, 0.475178], [-0.002892, 0.079338, 0.213129, 0.4954, -0.155166]], "network.2.bias": [-0.327337, -0.210842, 0.487007, 0.147155, -0.343049], "network.4.weight": [[0.301031, -0.094571, 0.156193, -0.413762, -0.17439], [0.485175, 0.133885, -0.191866, -0.168314, 0.486071], [0.908536, -0.119773, -0.329191, -0.59348, 0.229267], [0.860155, -0.118355, -0.67354, 0.523856, 0.455411], [-0.556116, -0.318277, -0.236545, -0.417335, -0.279005]], "network.4.bias": [-0.181364, -0.529888, -0.414629, -0.131773, 0.016287], "network.6.weight": [[-0.052589, 0.446114, 0.022683, 0.640097, -0.177296], [-0.419822, 0.56316, -0.033848, -0.428661, 0.019023], [-0.11058, 0.088171, -0.528665, -0.507884, -0.198976], [0.117892, -0.708541, -0.285174, -0.634031, -0.085727], [-0.220327, -0.12755, -0.033687, 0.280538, 0.348598]], "network.6.bias": [0.007572, -0.501224, 0.465113, 0.035817, -0.518457], "network.8.weight": [[-0.533498, -0.392209, 0.606311, 0.33855, -0.178867]], "network.8.bias": [0.038218]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6722663342952728, "train_acc": 0.6, "val_loss": 0.7984893918037415, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6620895564556122, "train_acc": 0.6, "val_loss": 0.8409619331359863, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6625472605228424, "train_acc": 0.6, "val_loss": 0.7251842021942139, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7453276813030243, "train_acc": 0.53, "val_loss": 0.6542050242424011, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.665235310792923, "train_acc": 0.6, "val_loss": 0.6298772692680359, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6834256947040558, "train_acc": 0.54, "val_loss": 0.6297533512115479, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6258291006088257, "train_acc": 0.66, "val_loss": 0.662627100944519, "val_acc": 0.62}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.6246632933616638, "train_acc": 0.67, "val_loss": 0.7042602300643921, "val_acc": 0.58}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5746208131313324, "train_acc": 0.7, "val_loss": 0.5853145718574524, "val_acc": 0.64}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5037030279636383, "train_acc": 0.735, "val_loss": 0.5997480750083923, "val_acc": 0.68}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.5731785297393799, "train_acc": 0.735, "val_loss": 0.5713573694229126, "val_acc": 0.64}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.47621485590934753, "train_acc": 0.745, "val_loss": 0.6736403703689575, "val_acc": 0.56}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.5069227069616318, "train_acc": 0.705, "val_loss": 0.6214319467544556, "val_acc": 0.58}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7984893918037415, "final_val_loss": 0.7251842021942139, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6542050242424011, "final_val_loss": 0.6214319467544556, "initial_val_acc": 0.62, "final_val_acc": 0.58, "best_val_acc": 0.68, "best_epoch": 4}, "improvement": 0.30000000000000004, "first_improvement_epoch": 2}}
|
6
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9319, "learning_rate": 0.04720846293947128, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
[
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0.175211,
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],
"network.8.bias": [
0.433319,
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0.078354,
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0.259427,
0.279504,
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"network.10.weight": [
[
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0.076149,
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],
"network.10.bias": [
0.159497
]
}
## Activation Signature
### 0
fourier: [[20.791790, 23.628495, 23.985589, 24.265644, 30.409205], [36.371457, 39.472281, 42.518940, 44.495319, 164.936075], [22.209946, 22.334364, 22.620061, 23.468327, 170.300977], [27.335724, 28.348592, 30.444751, 39.147652, 77.070102], [33.336845, 36.885108, 40.480283, 41.009265, 249.842542], [24.513595, 27.501147, 27.646671, 34.059340, 109.742055], [28.207286, 28.347215, 32.081336, 34.876825, 162.033303], [21.497039, 23.336308, 25.566767, 28.130060, 29.044346]]
### 2
fourier: [[20.238895, 22.024668, 23.562066, 26.300144, 67.774865], [25.014779, 28.284839, 28.787497, 32.573184, 51.301648], [22.491110, 23.599723, 23.934437, 28.155893, 97.028675], [21.626599, 22.237937, 22.508200, 23.125751, 67.270212], [19.068251, 20.791543, 22.433152, 24.822831, 132.947022], [53.161498, 53.599468, 53.610454, 53.778861, 170.564538], [12.311284, 12.357461, 15.780656, 19.874317, 121.610069], [19.479906, 20.028452, 20.474303, 22.290788, 74.459058]]
### 4
fourier: [[26.611392, 26.678879, 27.460002, 27.700512, 76.411671], [21.094542, 21.136092, 24.901375, 32.659857, 251.737920], [11.679655, 11.844030, 11.964151, 13.790272, 62.598181], [24.966886, 29.499541, 33.730882, 35.567228, 175.143204], [18.943261, 19.211392, 19.944621, 21.548124, 104.506999], [36.234606, 36.642665, 39.583224, 39.728688, 45.804259], [9.517819, 10.541905, 12.503196, 14.442512, 60.362703], [10.477869, 10.912812, 14.244717, 17.167496, 88.168987]]
### 6
fourier: [[8.120829, 8.159488, 8.828038, 10.055844, 97.410089], [19.221020, 20.139617, 21.005114, 29.626824, 247.383277], [35.514181, 37.228915, 46.542954, 57.118829, 418.902289], [44.001085, 46.330877, 49.390199, 53.371945, 57.683844], [39.672627, 40.961421, 56.013025, 61.665204, 331.173141], [31.908231, 32.927545, 43.146206, 47.594768, 217.675501], [27.767470, 29.253049, 39.371156, 42.067236, 194.336412], [7.170912, 7.316240, 7.658174, 7.874093, 33.958100]]
### 8
fourier: [[60.993995, 65.037381, 85.355646, 93.413550, 391.532422], [91.631559, 92.984069, 121.598374, 141.271594, 858.908078], [75.389068, 78.083643, 102.598761, 115.764796, 665.780063], [20.519617, 20.593853, 26.873411, 31.465753, 176.962122], [17.103719, 18.721072, 23.001545, 27.783385, 222.290445], [69.175255, 71.833665, 94.080517, 106.173510, 595.913794], [86.931850, 89.621114, 117.447582, 133.871269, 759.836808], [6.261078, 7.139272, 7.818134, 10.739841, 138.005144]]
### 10
fourier: [[187.157036, 197.562025, 249.781685, 290.722507, 1723.355606]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.791790, 23.628495, 23.985589, 24.265644, 30.409205], [36.371457, 39.472281, 42.518940, 44.495319, 164.936075], [22.209946, 22.334364, 22.620061, 23.468327, 170.300977], [27.335724, 28.348592, 30.444751, 39.147652, 77.070102], [33.336845, 36.885108, 40.480283, 41.009265, 249.842542], [24.513595, 27.501147, 27.646671, 34.059340, 109.742055], [28.207286, 28.347215, 32.081336, 34.876825, 162.033303], [21.497039, 23.336308, 25.566767, 28.130060, 29.044346]]
### 2
fourier: [[20.238895, 22.024668, 23.562066, 26.300144, 67.774865], [25.014779, 28.284839, 28.787497, 32.573184, 51.301648], [22.491110, 23.599723, 23.934437, 28.155893, 97.028675], [21.626599, 22.237937, 22.508200, 23.125751, 67.270212], [19.068251, 20.791543, 22.433152, 24.822831, 132.947022], [53.161498, 53.599468, 53.610454, 53.778861, 170.564538], [12.311284, 12.357461, 15.780656, 19.874317, 121.610069], [19.479906, 20.028452, 20.474303, 22.290788, 74.459058]]
### 4
fourier: [[26.611392, 26.678879, 27.460002, 27.700512, 76.411671], [21.094542, 21.136092, 24.901375, 32.659857, 251.737920], [11.679655, 11.844030, 11.964151, 13.790272, 62.598181], [24.966886, 29.499541, 33.730882, 35.567228, 175.143204], [18.943261, 19.211392, 19.944621, 21.548124, 104.506999], [36.234606, 36.642665, 39.583224, 39.728688, 45.804259], [9.517819, 10.541905, 12.503196, 14.442512, 60.362703], [10.477869, 10.912812, 14.244717, 17.167496, 88.168987]]
### 6
fourier: [[8.120829, 8.159488, 8.828038, 10.055844, 97.410089], [19.221020, 20.139617, 21.005114, 29.626824, 247.383277], [35.514181, 37.228915, 46.542954, 57.118829, 418.902289], [44.001085, 46.330877, 49.390199, 53.371945, 57.683844], [39.672627, 40.961421, 56.013025, 61.665204, 331.173141], [31.908231, 32.927545, 43.146206, 47.594768, 217.675501], [27.767470, 29.253049, 39.371156, 42.067236, 194.336412], [7.170912, 7.316240, 7.658174, 7.874093, 33.958100]]
### 8
fourier: [[60.993995, 65.037381, 85.355646, 93.413550, 391.532422], [91.631559, 92.984069, 121.598374, 141.271594, 858.908078], [75.389068, 78.083643, 102.598761, 115.764796, 665.780063], [20.519617, 20.593853, 26.873411, 31.465753, 176.962122], [17.103719, 18.721072, 23.001545, 27.783385, 222.290445], [69.175255, 71.833665, 94.080517, 106.173510, 595.913794], [86.931850, 89.621114, 117.447582, 133.871269, 759.836808], [6.261078, 7.139272, 7.818134, 10.739841, 138.005144]]
### 10
fourier: [[187.157036, 197.562025, 249.781685, 290.722507, 1723.355606]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.79179023206234, 23.62849466008796, 23.985589498914777, 24.2656436299296, 30.409205312211725]}, "1": {"fourier": [36.3714570910849, 39.47228103536959, 42.51894003330393, 44.49531915502931, 164.93607532233]}, "2": {"fourier": [22.209945560174678, 22.33436375840621, 22.620061497587095, 23.468327142025355, 170.3009768947959]}, "3": {"fourier": [27.335724229439737, 28.348591533014954, 30.44475060099444, 39.14765227081752, 77.07010231167078]}, "4": {"fourier": [33.336844929873756, 36.88510804559886, 40.48028254818301, 41.009264639976784, 249.84254178404808]}, "5": {"fourier": [24.51359541300426, 27.501147250829483, 27.64667079663009, 34.05933976476817, 109.74205523729324]}, "6": {"fourier": [28.207285894238314, 28.347214922848828, 32.081336092665246, 34.87682481270373, 162.0333033502102]}, "7": {"fourier": [21.49703920250139, 23.336307883979487, 25.56676737756716, 28.13005963234991, 29.044345672843352]}}, "layer_info": 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42.06723555559419, 194.33641186356544]}, "7": {"fourier": [7.1709122724486924, 7.316240073333477, 7.658173501844844, 7.874093450816603, 33.95810040831566]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [60.99399510115016, 65.0373810992119, 85.35564602251723, 93.41355026668442, 391.5324220955372]}, "1": {"fourier": [91.6315593259437, 92.98406891130892, 121.59837436086248, 141.27159389205767, 858.9080775976181]}, "2": {"fourier": [75.38906782990848, 78.08364335958191, 102.59876099950648, 115.76479557315794, 665.7800630331039]}, "3": {"fourier": [20.51961667144072, 20.59385344406428, 26.873410507512336, 31.46575319176624, 176.96212173625827]}, "4": {"fourier": [17.103719346776263, 18.721072431423398, 23.001544572721183, 27.78338519298546, 222.29044514894485]}, "5": {"fourier": [69.17525510568933, 71.83366494293936, 94.08051694305834, 106.17350955845505, 595.9137939214706]}, "6": {"fourier": [86.93184963532296, 89.62111415510456, 117.44758238904859, 133.87126852832225, 759.8368079662323]}, "7": {"fourier": [6.26107759870769, 7.139271871347017, 7.818134423553635, 10.73984054632111, 138.00514429807663]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [187.1570357428209, 197.56202456101389, 249.78168456848806, 290.72250661131096, 1723.3556057065725]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.716636, 0.427807, 0.133715, -0.084287, 0.166326], [0.77203, 0.623601, -0.007159, 0.200249, -0.467253], [0.161997, -0.120715, -0.468231, -0.240259, -0.358639], [0.221609, 0.541152, -0.305137, 0.326121, -0.336021], [0.788093, 0.531343, 0.028334, 0.210503, -0.075656], [-0.621234, 0.090206, 0.233304, 0.513171, -0.236253], [0.48026, 0.405419, 0.332575, -0.244565, 0.101835], [0.39804, -0.523843, 0.356188, -0.0879, 0.110313]], "network.0.bias": [0.039573, -0.102654, 0.061768, -0.053067, 0.409776, 0.53164, 0.168098, -0.099141], "network.2.weight": [[0.598836, 0.268712, 0.00747, 0.294326, -0.147638, 0.433955, -0.237284, -0.193472], [0.724582, -0.02028, -0.131191, 0.338948, -0.108792, 0.444384, -0.565194, 0.202914], [0.183203, -0.068625, 0.073181, -0.244341, -0.041296, -0.08463, 0.599387, 0.593281], [-0.512492, 0.290556, 0.367407, 0.34585, -0.222887, -0.196933, 0.528707, -0.293069], [0.028904, -0.434685, -0.08578, -0.419543, 0.05896, 0.050079, 0.102109, -0.272589], [-0.300188, 0.690544, 0.040702, 0.058211, 0.597963, -0.695539, 0.165124, -0.306363], [0.546472, -0.254728, -0.752384, -0.063084, 0.432844, 0.342328, -0.505398, 0.475675], [0.473983, 0.098356, 0.045139, -0.443905, -0.408076, 0.236267, -0.037004, 0.295973]], "network.2.bias": [-0.18792, 0.329558, 0.189906, 0.204129, -0.435508, -0.109078, 0.545845, -0.127984], "network.4.weight": [[0.011437, -0.165924, -0.37193, 0.186206, -0.080631, 0.483309, 0.053917, 0.24714], [0.424148, 0.385468, 0.748936, -0.114782, -0.149008, -0.115843, 0.529428, 0.43615], [0.078645, -0.176802, 0.146813, -0.065465, 0.055521, -0.221629, 0.133533, -0.149832], [0.380959, 0.684208, 0.271729, -0.508101, 0.177515, -0.052687, 0.443318, 0.184115], [-0.099025, 0.034489, 0.081553, -0.209238, 0.014994, -0.318753, -0.183579, -0.014764], [-0.379801, -0.343242, -0.459179, 0.282889, -0.071328, 0.599678, -0.05934, -0.189276], [0.306746, 0.228676, 0.165354, 0.096561, -0.345037, -0.092077, 0.136529, 0.423819], [0.097736, 0.338736, 0.295993, -0.116412, 0.22187, -0.046712, 0.262541, 0.280967]], "network.4.bias": [0.171541, 0.708124, -0.412257, 0.488463, -0.102691, -0.071042, -0.152111, 0.006174], "network.6.weight": [[-0.024623, -0.038072, -0.313207, -0.100441, -0.046864, -0.282115, 0.098995, -0.106229], [0.343651, 0.375689, -0.275114, 0.284594, -0.251295, -0.039814, 0.442421, 0.499136], [0.083587, 0.717585, -0.130607, 0.713398, 0.216293, -0.074983, 0.374447, 0.381323], [0.59239, -0.461046, -0.048387, -0.083756, 0.362754, 0.732432, 0.032534, -0.384115], [-0.070556, 0.788022, 0.390871, 0.470285, -0.355208, -0.462885, 0.349584, 0.210603], [-0.277898, 0.351483, -0.195054, 0.574789, 0.019185, -0.105118, 0.27108, 0.408528], [-0.338553, 0.446815, -0.003731, 0.381447, 0.031104, -0.159481, -0.068484, 0.372266], [-0.412592, -0.206554, 0.076136, 0.252833, -0.319437, 0.201072, 0.033706, 0.095908]], "network.6.bias": [-0.442228, 0.004504, 0.494535, 0.447334, 0.524114, -0.011906, 0.249611, -0.248532], "network.8.weight": [[-0.186953, -0.625342, 0.01428, 0.644229, -0.627899, -0.331582, -0.221988, 0.138771], [0.249742, 0.343691, 0.612652, -0.340848, 0.68112, 0.72726, 0.513134, -0.482806], [-0.061354, 0.181497, 0.551714, -0.467097, 0.800866, 0.209749, 0.33343, -0.029275], [-0.467229, 0.048433, -0.09347, 0.019586, -0.018809, -0.369257, -0.303919, 0.375324], [-0.026473, 0.089358, -0.428652, 0.003806, 0.166912, 0.108273, -0.554133, -0.476393], [0.285242, 0.086165, 0.489842, -0.404215, 0.635837, 0.506691, 0.207074, -0.2547], [0.276723, 0.334534, 0.317837, -0.448997, 0.865968, 0.581386, 0.577029, -0.506028], [-0.344907, 0.192591, -0.265312, -0.168458, -0.206547, 0.175211, -0.059456, -0.200944]], "network.8.bias": [0.433319, 0.349994, 0.389343, 0.078354, -0.320505, 0.259427, 0.279504, -0.160259], "network.10.weight": [[0.492248, -0.464445, -0.875008, 0.076149, -0.058285, -0.489539, -0.587204, -0.194154]], "network.10.bias": [0.159497]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809704303741455, "train_acc": 0.57, "val_loss": 0.7026543617248535, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687776148319244, "train_acc": 0.57, "val_loss": 0.6631693840026855, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.636007159948349, "train_acc": 0.5, "val_loss": 0.5195937156677246, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.48000869154930115, "train_acc": 0.925, "val_loss": 0.28450095653533936, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2534361332654953, "train_acc": 0.935, "val_loss": 0.1493859589099884, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2131161242723465, "train_acc": 0.94, "val_loss": 0.12217014282941818, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2123415470123291, "train_acc": 0.945, "val_loss": 0.10057653486728668, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18019116669893265, "train_acc": 0.945, "val_loss": 0.10740426927804947, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.16418611258268356, "train_acc": 0.945, "val_loss": 0.11662635952234268, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16840645670890808, "train_acc": 0.945, "val_loss": 0.12194184958934784, "val_acc": 0.96}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7026543617248535, "final_val_loss": 0.6631693840026855, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5195937156677246, "final_val_loss": 0.12194184958934784, "initial_val_acc": 0.94, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
7
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9749, "learning_rate": 0.04776131004515171, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.142194,
0.074675,
0.237902,
0.333977,
0.715612
],
[
0.445491,
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0.190006,
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],
[
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0.315828,
0.409424,
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],
[
0.132717,
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],
[
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]
],
"network.0.bias": [
-0.059454,
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],
"network.2.weight": [
[
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],
[
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-0.407152,
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],
[
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],
[
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0.197447,
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],
[
0.1321,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
[
1.003725,
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],
[
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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[
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[
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[
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[
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],
"network.10.bias": [
0.487055,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.736409, 34.744482, 36.058144, 38.177890, 211.437586], [24.706098, 27.395296, 28.984395, 31.472413, 132.497047], [25.433821, 29.253343, 30.403414, 36.747812, 67.085166], [13.895170, 13.937007, 14.515788, 15.263094, 23.322484], [35.585583, 35.664929, 36.251806, 40.178344, 138.282198]]
### 2
fourier: [[22.258478, 25.234232, 25.338180, 26.958379, 131.378878], [19.698791, 20.027572, 21.614172, 21.766007, 26.725310], [18.386697, 20.039151, 22.760427, 25.903306, 224.008566], [23.067137, 28.687236, 31.052539, 31.279685, 146.913304], [32.186339, 33.701637, 33.777590, 37.212807, 215.433668]]
### 4
fourier: [[24.485904, 25.458715, 26.126993, 31.258045, 181.223716], [7.359827, 7.465089, 7.529036, 7.568028, 9.992549], [2.460519, 2.608202, 2.775743, 3.508807, 57.113175], [12.521111, 12.853850, 12.943097, 13.125163, 107.665505], [22.991716, 23.920329, 25.031891, 32.420414, 57.391443]]
### 6
fourier: [[26.623621, 27.589675, 29.741898, 33.839465, 201.907511], [23.250860, 23.682123, 25.588805, 28.768402, 169.013840], [4.545548, 4.844532, 4.888551, 4.930886, 6.632717], [18.256403, 19.164385, 19.895552, 22.098734, 137.629165], [12.777439, 13.363377, 13.766113, 15.881955, 111.772054]]
### 8
fourier: [[0.536194, 0.610778, 0.642005, 0.707225, 9.576443], [42.004840, 44.304032, 48.218592, 55.050156, 381.119502], [22.933924, 24.416936, 26.898382, 30.433152, 142.843632], [2.308188, 2.416161, 2.436025, 2.638604, 47.972879], [15.479961, 16.187278, 17.948758, 19.760860, 72.381331]]
### 10
fourier: [[16.891480, 18.387878, 18.390633, 19.354479, 36.935659], [8.686966, 9.294944, 9.632595, 11.908185, 91.884842], [16.275313, 17.116247, 18.782954, 21.157021, 155.857068], [7.227894, 7.509127, 7.667973, 10.153280, 98.011046], [7.012270, 7.474380, 7.788001, 9.559181, 34.402157]]
### 12
fourier: [[14.719307, 15.477350, 15.773256, 16.211670, 97.513351]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.074675,
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],
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0.190006,
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],
[
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0.409424,
-0.297581
],
[
0.132717,
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],
[
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]
],
"network.0.bias": [
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0.458193,
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],
"network.2.weight": [
[
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0.209893,
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],
[
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-0.407152,
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],
[
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],
[
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],
[
0.1321,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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0.299437,
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],
[
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],
[
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],
[
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]
],
"network.4.bias": [
0.362426,
0.242731,
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0.549075
],
"network.6.weight": [
[
1.003725,
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],
[
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],
[
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],
[
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],
[
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],
"network.6.bias": [
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"network.8.weight": [
[
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"network.8.bias": [
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0.789574
],
"network.10.weight": [
[
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[
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[
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[
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],
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0.487055,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
-0.256147
]
}
## Activation Signature
### 0
fourier: [[26.736409, 34.744482, 36.058144, 38.177890, 211.437586], [24.706098, 27.395296, 28.984395, 31.472413, 132.497047], [25.433821, 29.253343, 30.403414, 36.747812, 67.085166], [13.895170, 13.937007, 14.515788, 15.263094, 23.322484], [35.585583, 35.664929, 36.251806, 40.178344, 138.282198]]
### 2
fourier: [[22.258478, 25.234232, 25.338180, 26.958379, 131.378878], [19.698791, 20.027572, 21.614172, 21.766007, 26.725310], [18.386697, 20.039151, 22.760427, 25.903306, 224.008566], [23.067137, 28.687236, 31.052539, 31.279685, 146.913304], [32.186339, 33.701637, 33.777590, 37.212807, 215.433668]]
### 4
fourier: [[24.485904, 25.458715, 26.126993, 31.258045, 181.223716], [7.359827, 7.465089, 7.529036, 7.568028, 9.992549], [2.460519, 2.608202, 2.775743, 3.508807, 57.113175], [12.521111, 12.853850, 12.943097, 13.125163, 107.665505], [22.991716, 23.920329, 25.031891, 32.420414, 57.391443]]
### 6
fourier: [[26.623621, 27.589675, 29.741898, 33.839465, 201.907511], [23.250860, 23.682123, 25.588805, 28.768402, 169.013840], [4.545548, 4.844532, 4.888551, 4.930886, 6.632717], [18.256403, 19.164385, 19.895552, 22.098734, 137.629165], [12.777439, 13.363377, 13.766113, 15.881955, 111.772054]]
### 8
fourier: [[0.536194, 0.610778, 0.642005, 0.707225, 9.576443], [42.004840, 44.304032, 48.218592, 55.050156, 381.119502], [22.933924, 24.416936, 26.898382, 30.433152, 142.843632], [2.308188, 2.416161, 2.436025, 2.638604, 47.972879], [15.479961, 16.187278, 17.948758, 19.760860, 72.381331]]
### 10
fourier: [[16.891480, 18.387878, 18.390633, 19.354479, 36.935659], [8.686966, 9.294944, 9.632595, 11.908185, 91.884842], [16.275313, 17.116247, 18.782954, 21.157021, 155.857068], [7.227894, 7.509127, 7.667973, 10.153280, 98.011046], [7.012270, 7.474380, 7.788001, 9.559181, 34.402157]]
### 12
fourier: [[14.719307, 15.477350, 15.773256, 16.211670, 97.513351]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.142194, 0.074675, 0.237902, 0.333977, 0.715612], [0.445491, 0.485603, -0.031589, 0.190006, -0.216052], [-0.695001, 0.180874, 0.315828, 0.409424, -0.297581], [0.132717, -0.357163, -0.216522, 0.368358, -0.266557], [-0.589357, 0.111092, -0.057623, 0.554768, 0.853331]], "network.0.bias": [-0.059454, -0.042082, 0.109989, 0.458193, -0.054286], "network.2.weight": [[-0.272813, -0.115221, -0.233315, 0.209893, -0.472814], [0.287375, 0.453619, -0.407152, -0.525243, -0.372393], [-0.17374, -0.600807, -0.258416, -0.380246, -0.076232], [-0.672887, -0.169036, 0.329856, 0.197447, -0.072723], [0.1321, -0.375701, 0.370808, 0.433805, 0.776297]], "network.2.bias": [0.369508, 0.101491, -0.595319, -0.117875, 0.669074], "network.4.weight": [[0.407099, -0.319916, 0.108827, -0.411833, 0.736603], [-0.33901, 0.245655, -0.044341, 0.299437, -0.16699], [0.063027, 0.057337, -0.36721, 0.056369, -0.068081], [-0.362951, -0.089719, -0.035969, -0.22142, -0.424396], [-0.285666, 0.609961, -0.083268, -0.400138, -0.61474]], "network.4.bias": [0.362426, 0.242731, -0.502273, -0.08702, 0.549075], "network.6.weight": [[1.003725, -0.301542, 0.216638, -0.42908, -0.460539], [0.839689, -0.084473, -0.128758, -0.216499, -0.543567], [-0.14623, -0.35519, -0.314121, -0.340095, -0.353298], [0.609248, -0.15017, -0.250355, 0.433892, -0.514138], [0.621532, 0.291167, -0.313949, 0.281672, 0.157008]], "network.6.bias": [0.366298, 0.332675, 0.525725, 0.4622, -0.144888], "network.8.weight": [[0.074177, -0.107319, -0.105117, -0.029678, 0.044791], [0.781437, 0.458032, 0.094279, 0.686079, 0.313049], [-0.30535, -0.265686, -0.325645, -0.597835, -0.139924], [-0.236538, 0.290773, 0.063309, -0.319339, 0.24086], [-0.452569, -0.369903, -0.590899, -0.15652, 0.440081]], "network.8.bias": [-0.059808, -0.035249, 0.852671, -0.344372, 0.789574], "network.10.weight": [[-0.356494, -0.260468, 0.653829, 0.158898, 0.806306], [-0.059607, -0.226763, -0.41008, 0.016497, -0.013595], [-0.311035, 0.382865, -0.296093, -0.363756, 0.152468], [-0.391154, -0.207717, -0.554663, 0.19046, -0.263792], [-0.404038, 0.182718, 0.153535, -0.438568, 0.142796]], "network.10.bias": [0.487055, -0.008378, 0.122936, -0.100457, -0.432523], "network.12.weight": [[0.591831, -0.231835, -0.53008, -0.111804, -0.177803]], "network.12.bias": [-0.256147]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6746063232421875, "train_acc": 0.595, "val_loss": 0.7366824150085449, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710695624351501, "train_acc": 0.595, "val_loss": 0.7402968406677246, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6679480969905853, "train_acc": 0.595, "val_loss": 0.7378512024879456, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6650674343109131, "train_acc": 0.595, "val_loss": 0.7241510152816772, "val_acc": 0.42}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6534882485866547, "train_acc": 0.595, "val_loss": 0.6927997469902039, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6568830907344818, "train_acc": 0.52, "val_loss": 0.598220944404602, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5681567788124084, "train_acc": 0.635, "val_loss": 0.4745817482471466, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4530561715364456, "train_acc": 0.9, "val_loss": 0.30146846175193787, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.31694015860557556, "train_acc": 0.92, "val_loss": 0.2222827672958374, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.23776008933782578, "train_acc": 0.925, "val_loss": 0.11474265903234482, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.19609462469816208, "train_acc": 0.935, "val_loss": 0.09537209570407867, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.20661434531211853, "train_acc": 0.945, "val_loss": 0.10876195132732391, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.1703919917345047, "train_acc": 0.945, "val_loss": 0.09097862243652344, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.1777656525373459, "train_acc": 0.945, "val_loss": 0.11106378585100174, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.15378942340612411, "train_acc": 0.955, "val_loss": 0.1868104487657547, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7366824150085449, "final_val_loss": 0.6927997469902039, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.598220944404602, "final_val_loss": 0.1868104487657547, "initial_val_acc": 0.42, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.56, "first_improvement_epoch": 4}}
|
8
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8252, "learning_rate": 0.027729101250368093, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[32.658927, 35.765619, 37.430545, 44.469973, 301.825669], [30.701736, 31.671648, 34.810183, 39.511662, 221.918006], [24.009348, 24.519301, 26.134336, 30.751941, 31.666765], [17.129143, 17.231959, 20.234226, 22.201366, 177.860651], [27.272578, 31.518193, 31.799284, 34.080326, 133.064971], [28.983839, 30.892771, 34.713788, 39.700470, 120.347876], [19.873877, 21.140910, 23.371479, 24.989005, 43.670669], [15.585522, 19.002519, 20.313998, 20.748457, 21.751924]]
### 2
fourier: [[25.243050, 25.518447, 29.550439, 33.624706, 111.774787], [13.638628, 13.644152, 14.043414, 15.763392, 96.391087], [11.630594, 11.727043, 13.954241, 16.396114, 19.768667], [12.344148, 12.594144, 14.202989, 15.102511, 34.877296], [13.523971, 13.573837, 15.674962, 15.692974, 46.692760], [19.329995, 19.508589, 20.258596, 23.953362, 206.718164], [17.200062, 21.488388, 22.245739, 26.389959, 61.828419], [12.039077, 13.028423, 13.661770, 14.090942, 17.914202]]
### 4
fourier: [[7.578090, 8.031631, 8.158036, 11.356166, 129.966496], [26.618048, 29.987116, 31.698902, 36.246589, 98.867438], [2.827791, 2.887298, 2.999681, 3.070233, 61.422918], [30.324159, 32.547602, 34.838007, 39.253360, 152.243634], [3.422609, 3.464608, 3.687241, 4.134807, 57.554024], [16.005715, 17.070337, 17.944646, 23.039140, 68.043295], [20.192513, 24.821137, 28.361416, 28.387348, 32.391067], [13.152700, 13.756175, 16.899613, 18.982078, 20.829809]]
### 6
fourier: [[22.150039, 25.771303, 25.978714, 28.985568, 32.371558], [26.157320, 29.267049, 30.616730, 32.530177, 68.543226], [33.049687, 38.505915, 41.768211, 45.839755, 150.770565], [1.778683, 1.782062, 1.836090, 1.918137, 64.378657], [44.018298, 50.168987, 54.452831, 60.367492, 184.153243], [11.901077, 11.906118, 14.317184, 16.796334, 37.080591], [9.747342, 11.653478, 12.906082, 14.538785, 32.469010], [7.880862, 8.796087, 9.357946, 10.641322, 12.253345]]
### 8
fourier: [[69.905096, 79.718552, 88.197679, 96.022632, 262.608504]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[32.658927, 35.765619, 37.430545, 44.469973, 301.825669], [30.701736, 31.671648, 34.810183, 39.511662, 221.918006], [24.009348, 24.519301, 26.134336, 30.751941, 31.666765], [17.129143, 17.231959, 20.234226, 22.201366, 177.860651], [27.272578, 31.518193, 31.799284, 34.080326, 133.064971], [28.983839, 30.892771, 34.713788, 39.700470, 120.347876], [19.873877, 21.140910, 23.371479, 24.989005, 43.670669], [15.585522, 19.002519, 20.313998, 20.748457, 21.751924]]
### 2
fourier: [[25.243050, 25.518447, 29.550439, 33.624706, 111.774787], [13.638628, 13.644152, 14.043414, 15.763392, 96.391087], [11.630594, 11.727043, 13.954241, 16.396114, 19.768667], [12.344148, 12.594144, 14.202989, 15.102511, 34.877296], [13.523971, 13.573837, 15.674962, 15.692974, 46.692760], [19.329995, 19.508589, 20.258596, 23.953362, 206.718164], [17.200062, 21.488388, 22.245739, 26.389959, 61.828419], [12.039077, 13.028423, 13.661770, 14.090942, 17.914202]]
### 4
fourier: [[7.578090, 8.031631, 8.158036, 11.356166, 129.966496], [26.618048, 29.987116, 31.698902, 36.246589, 98.867438], [2.827791, 2.887298, 2.999681, 3.070233, 61.422918], [30.324159, 32.547602, 34.838007, 39.253360, 152.243634], [3.422609, 3.464608, 3.687241, 4.134807, 57.554024], [16.005715, 17.070337, 17.944646, 23.039140, 68.043295], [20.192513, 24.821137, 28.361416, 28.387348, 32.391067], [13.152700, 13.756175, 16.899613, 18.982078, 20.829809]]
### 6
fourier: [[22.150039, 25.771303, 25.978714, 28.985568, 32.371558], [26.157320, 29.267049, 30.616730, 32.530177, 68.543226], [33.049687, 38.505915, 41.768211, 45.839755, 150.770565], [1.778683, 1.782062, 1.836090, 1.918137, 64.378657], [44.018298, 50.168987, 54.452831, 60.367492, 184.153243], [11.901077, 11.906118, 14.317184, 16.796334, 37.080591], [9.747342, 11.653478, 12.906082, 14.538785, 32.469010], [7.880862, 8.796087, 9.357946, 10.641322, 12.253345]]
### 8
fourier: [[69.905096, 79.718552, 88.197679, 96.022632, 262.608504]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6645710170269012, "train_acc": 0.595, "val_loss": 0.6558023691177368, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6360658705234528, "train_acc": 0.61, "val_loss": 0.6435524225234985, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6017255187034607, "train_acc": 0.66, "val_loss": 0.5993924140930176, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5479565560817719, "train_acc": 0.725, "val_loss": 0.47166740894317627, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5017536282539368, "train_acc": 0.78, "val_loss": 0.43251892924308777, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.426321804523468, "train_acc": 0.805, "val_loss": 0.5061948299407959, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4313802272081375, "train_acc": 0.805, "val_loss": 0.43707215785980225, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3812580108642578, "train_acc": 0.82, "val_loss": 0.4143986403942108, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3871142417192459, "train_acc": 0.81, "val_loss": 0.3991672396659851, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.35453149676322937, "train_acc": 0.835, "val_loss": 0.4117952287197113, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.35683195292949677, "train_acc": 0.855, "val_loss": 0.3828246593475342, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.35860277712345123, "train_acc": 0.83, "val_loss": 0.36393073201179504, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.35359591245651245, "train_acc": 0.815, "val_loss": 0.3598538637161255, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6558023691177368, "final_val_loss": 0.5993924140930176, "initial_val_acc": 0.54, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.47166740894317627, "final_val_loss": 0.3598538637161255, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 12}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
9
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1579, "learning_rate": 0.09508480999907651, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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}
## Activation Signature
### 0
fourier: [[43.036560, 43.192867, 45.602137, 55.125844, 131.152458], [30.749226, 30.777256, 30.804904, 31.115176, 121.938044], [29.446191, 33.733970, 41.773300, 41.903555, 45.247407], [54.451004, 55.868641, 56.105466, 62.842463, 201.232529], [42.980083, 49.062904, 60.032988, 67.395282, 185.895850]]
### 2
fourier: [[66.469346, 70.178697, 86.443969, 94.933010, 198.534008], [26.355906, 31.326049, 32.386708, 32.552277, 222.941218], [34.566231, 34.626816, 43.288946, 47.021548, 87.403963], [29.841678, 31.993173, 35.848528, 35.874225, 37.534318], [31.938928, 32.257981, 35.225365, 37.027032, 38.275805]]
### 4
fourier: [[15.364778, 16.389295, 17.046844, 18.651673, 151.403494], [8.865735, 11.011364, 11.054037, 12.257537, 116.559189], [53.955408, 60.380660, 67.789981, 75.317891, 160.476494], [61.453678, 68.079134, 78.139414, 86.985832, 156.561822], [37.059583, 45.250159, 54.787243, 55.011781, 55.238414]]
### 6
fourier: [[57.780647, 64.274134, 72.083358, 80.854488, 183.620136], [59.868545, 66.684576, 74.654239, 83.587023, 184.529911], [30.393998, 34.604355, 41.674563, 43.484932, 43.835143], [11.407972, 12.015397, 12.091567, 13.494485, 109.749332], [38.302408, 42.773166, 48.056176, 53.757292, 76.050343]]
### 8
fourier: [[27.369630, 27.702704, 33.660212, 42.355478, 133.749915], [44.818707, 48.957078, 55.458754, 63.367066, 184.137552], [43.823760, 46.198162, 54.034904, 64.793283, 184.289737], [44.428992, 46.867405, 54.660854, 65.266981, 166.428354], [92.776416, 99.212618, 114.614056, 134.737155, 367.194423]]
### 10
fourier: [[43.820980, 46.080143, 54.103947, 64.610487, 159.316708], [58.962898, 61.996166, 72.712872, 87.049644, 266.572605], [29.846917, 30.452575, 36.707875, 45.111509, 164.401508], [4.028176, 4.557702, 4.620590, 6.014625, 38.744859], [10.165719, 10.916358, 11.570123, 15.995454, 108.608193]]
### 12
fourier: [[46.480732, 48.298421, 57.128356, 69.498212, 174.664700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.847848
],
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],
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],
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"network.2.weight": [
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],
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],
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"network.4.bias": [
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],
"network.6.weight": [
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],
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}
## Activation Signature
### 0
fourier: [[43.036560, 43.192867, 45.602137, 55.125844, 131.152458], [30.749226, 30.777256, 30.804904, 31.115176, 121.938044], [29.446191, 33.733970, 41.773300, 41.903555, 45.247407], [54.451004, 55.868641, 56.105466, 62.842463, 201.232529], [42.980083, 49.062904, 60.032988, 67.395282, 185.895850]]
### 2
fourier: [[66.469346, 70.178697, 86.443969, 94.933010, 198.534008], [26.355906, 31.326049, 32.386708, 32.552277, 222.941218], [34.566231, 34.626816, 43.288946, 47.021548, 87.403963], [29.841678, 31.993173, 35.848528, 35.874225, 37.534318], [31.938928, 32.257981, 35.225365, 37.027032, 38.275805]]
### 4
fourier: [[15.364778, 16.389295, 17.046844, 18.651673, 151.403494], [8.865735, 11.011364, 11.054037, 12.257537, 116.559189], [53.955408, 60.380660, 67.789981, 75.317891, 160.476494], [61.453678, 68.079134, 78.139414, 86.985832, 156.561822], [37.059583, 45.250159, 54.787243, 55.011781, 55.238414]]
### 6
fourier: [[57.780647, 64.274134, 72.083358, 80.854488, 183.620136], [59.868545, 66.684576, 74.654239, 83.587023, 184.529911], [30.393998, 34.604355, 41.674563, 43.484932, 43.835143], [11.407972, 12.015397, 12.091567, 13.494485, 109.749332], [38.302408, 42.773166, 48.056176, 53.757292, 76.050343]]
### 8
fourier: [[27.369630, 27.702704, 33.660212, 42.355478, 133.749915], [44.818707, 48.957078, 55.458754, 63.367066, 184.137552], [43.823760, 46.198162, 54.034904, 64.793283, 184.289737], [44.428992, 46.867405, 54.660854, 65.266981, 166.428354], [92.776416, 99.212618, 114.614056, 134.737155, 367.194423]]
### 10
fourier: [[43.820980, 46.080143, 54.103947, 64.610487, 159.316708], [58.962898, 61.996166, 72.712872, 87.049644, 266.572605], [29.846917, 30.452575, 36.707875, 45.111509, 164.401508], [4.028176, 4.557702, 4.620590, 6.014625, 38.744859], [10.165719, 10.916358, 11.570123, 15.995454, 108.608193]]
### 12
fourier: [[46.480732, 48.298421, 57.128356, 69.498212, 174.664700]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.543213, -0.224088, 0.135658, 0.257489, 1.367476], [0.737838, 0.438661, -0.267112, -0.231518, 0.174788], [0.712153, -0.128485, -0.474535, 8.8e-05, 0.847848], [0.004536, 0.740425, 0.420316, 0.642459, -1.583143], [0.344066, -0.153449, 0.053832, 0.147258, 1.444645]], "network.0.bias": [0.019487, 0.476206, -0.385944, 0.577885, -0.293008], "network.2.weight": [[0.424626, 0.67372, 0.321218, -0.452195, 0.605045], [-0.129501, -0.130216, -0.236338, -0.248167, -0.366786], [0.092391, -0.89144, -0.217009, 0.770619, 0.133311], [0.117298, 0.833559, -0.159549, -0.458721, 0.063373], [-0.139348, -0.687064, -0.216187, 0.41527, 0.016375]], "network.2.bias": [0.101212, -0.311053, -0.142604, 0.312048, -0.09175], "network.4.weight": [[0.016212, -0.384459, -0.633364, -0.568734, -0.247068], [-0.101329, 0.383555, -0.090229, -0.339815, -0.349275], [0.632628, -0.239994, -0.44037, 0.389265, -0.175808], [0.764677, -0.053306, -0.360422, 0.372375, -0.379163], [-0.302851, 0.443686, 0.67706, -0.514131, 0.363601]], "network.4.bias": [-0.110793, -0.356415, 0.427938, 0.043159, 0.276268], "network.6.weight": [[0.348501, -0.268313, 0.604813, 0.368316, -0.589424], [0.32979, -0.312879, 0.680459, 0.329259, -0.619717], [0.118304, 0.445564, -0.209337, -0.20063, 0.722258], [0.109366, 0.406377, -0.078904, -0.189077, -0.359533], [0.062409, 0.144846, -0.030609, 0.620557, -0.421058]], "network.6.bias": [0.503683, 0.472258, 0.215669, -0.152563, -0.057038], "network.8.weight": [[-0.394415, -0.204733, -0.120088, -0.011547, 0.005412], [0.017925, -0.684394, 0.425211, 0.278318, -0.15165], [-0.108699, -0.620796, 0.133867, 0.445914, -0.178633], [-0.134345, -0.788786, 0.13608, -0.103636, 0.131314], [0.818876, 0.681735, -0.525696, 0.358206, 0.343913]], "network.8.bias": [0.150437, -0.514255, -0.046723, 0.227288, 0.267868], "network.10.weight": [[-0.3667, 0.000863, -0.153698, -0.575768, 0.483457], [-0.586455, -0.011934, -0.496942, -0.459382, 0.656208], [-0.11508, -0.339957, -0.148249, 0.440622, -0.347431], [0.32701, -0.325867, -0.25051, -0.01928, -0.057055], [0.194684, -0.557882, 0.0494, -0.161211, -0.13999]], "network.10.bias": [-0.24729, 0.187622, -0.286595, -0.080449, -0.441124], "network.12.weight": [[-0.259109, -0.627192, -0.407041, 0.423743, 0.097531]], "network.12.bias": [0.488602]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7276186645030975, "train_acc": 0.575, "val_loss": 0.7131456136703491, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721719205379486, "train_acc": 0.575, "val_loss": 0.6734071373939514, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6513909995555878, "train_acc": 0.5, "val_loss": 0.7800167202949524, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6192078590393066, "train_acc": 0.635, "val_loss": 0.5750583410263062, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5890297889709473, "train_acc": 0.755, "val_loss": 0.588290810585022, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5616568922996521, "train_acc": 0.745, "val_loss": 0.4847193658351898, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.45835067331790924, "train_acc": 0.805, "val_loss": 0.3719159662723541, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3792739361524582, "train_acc": 0.86, "val_loss": 0.5699851512908936, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.428209587931633, "train_acc": 0.83, "val_loss": 0.34278854727745056, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3303285390138626, "train_acc": 0.885, "val_loss": 0.3186558783054352, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3133581578731537, "train_acc": 0.89, "val_loss": 0.3195687532424927, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2840406149625778, "train_acc": 0.905, "val_loss": 0.34013599157333374, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7131456136703491, "final_val_loss": 0.6734071373939514, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.7800167202949524, "final_val_loss": 0.34013599157333374, "initial_val_acc": 0.52, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.4, "first_improvement_epoch": 1}}
|
10
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2113, "learning_rate": 0.0493680412770662, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.6.weight": [
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"network.8.weight": [
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"network.10.weight": [
[
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0.06221,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[34.431185, 35.000063, 36.026356, 44.063795, 157.175902], [24.320669, 24.499450, 25.392559, 29.110091, 151.482321], [27.850726, 29.080834, 31.952359, 37.584837, 42.143064], [28.097537, 29.632071, 30.142729, 40.921626, 48.741474], [34.061026, 34.316189, 43.535377, 52.031951, 146.568689], [28.908869, 28.971519, 31.529631, 36.924135, 210.062786], [42.192550, 46.574728, 51.944135, 56.444943, 201.695041], [22.217550, 22.601873, 22.679411, 22.970429, 25.227748]]
### 2
fourier: [[16.094733, 21.553972, 23.189996, 23.338922, 152.767885], [30.486992, 32.612308, 35.214707, 36.311460, 100.946951], [69.515059, 77.926387, 100.022058, 112.287334, 363.487928], [40.638946, 41.038143, 50.306803, 61.499606, 168.247485], [10.681124, 13.865180, 14.601233, 15.452331, 109.031794], [24.763369, 25.730769, 25.821557, 28.255954, 37.160422], [83.005148, 84.906745, 112.424476, 131.000723, 389.477082], [82.448585, 89.810637, 112.537200, 117.622697, 397.347487]]
### 4
fourier: [[78.194751, 92.063651, 107.965578, 115.659548, 467.326676], [120.055241, 121.540186, 167.988057, 195.510013, 536.685622], [61.027908, 68.098766, 83.461612, 99.781298, 110.729561], [84.208374, 86.102439, 110.844476, 136.076131, 182.174967], [50.269265, 56.742158, 73.442304, 84.820703, 302.026124], [75.065538, 88.083927, 105.012041, 115.217984, 444.838143], [39.227112, 51.897153, 54.196077, 57.393014, 337.783770], [173.659582, 182.664926, 249.034603, 285.163441, 801.596787]]
### 6
fourier: [[235.992614, 242.828150, 337.666841, 385.059328, 965.996940], [134.134517, 138.322062, 190.252640, 215.668079, 519.548356], [49.556963, 59.289351, 59.614935, 60.137497, 79.820474], [135.162283, 139.501806, 192.640964, 218.232845, 519.011173], [63.301404, 77.665683, 92.439637, 110.985614, 442.577223], [13.541765, 15.387616, 19.217361, 21.173596, 80.175778], [72.927503, 77.723199, 105.382897, 122.543232, 392.607056], [16.226365, 17.356264, 20.830976, 21.816318, 175.679421]]
### 8
fourier: [[62.932866, 63.699330, 88.969525, 104.965463, 322.673503], [369.829747, 380.554102, 527.932562, 612.935867, 1540.887771], [51.666477, 51.931899, 73.067909, 86.172694, 246.610401], [292.603775, 300.900429, 420.159722, 490.269687, 1262.969859], [5.125981, 5.690463, 6.764233, 8.333157, 74.667204], [322.117307, 331.633411, 460.012963, 533.334258, 1335.461159], [95.613131, 99.208180, 133.944684, 151.226577, 334.879981], [223.491803, 228.288637, 319.478397, 373.766974, 969.401657]]
### 10
fourier: [[663.915612, 680.848830, 954.738772, 1126.340572, 2946.762385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[34.431185, 35.000063, 36.026356, 44.063795, 157.175902], [24.320669, 24.499450, 25.392559, 29.110091, 151.482321], [27.850726, 29.080834, 31.952359, 37.584837, 42.143064], [28.097537, 29.632071, 30.142729, 40.921626, 48.741474], [34.061026, 34.316189, 43.535377, 52.031951, 146.568689], [28.908869, 28.971519, 31.529631, 36.924135, 210.062786], [42.192550, 46.574728, 51.944135, 56.444943, 201.695041], [22.217550, 22.601873, 22.679411, 22.970429, 25.227748]]
### 2
fourier: [[16.094733, 21.553972, 23.189996, 23.338922, 152.767885], [30.486992, 32.612308, 35.214707, 36.311460, 100.946951], [69.515059, 77.926387, 100.022058, 112.287334, 363.487928], [40.638946, 41.038143, 50.306803, 61.499606, 168.247485], [10.681124, 13.865180, 14.601233, 15.452331, 109.031794], [24.763369, 25.730769, 25.821557, 28.255954, 37.160422], [83.005148, 84.906745, 112.424476, 131.000723, 389.477082], [82.448585, 89.810637, 112.537200, 117.622697, 397.347487]]
### 4
fourier: [[78.194751, 92.063651, 107.965578, 115.659548, 467.326676], [120.055241, 121.540186, 167.988057, 195.510013, 536.685622], [61.027908, 68.098766, 83.461612, 99.781298, 110.729561], [84.208374, 86.102439, 110.844476, 136.076131, 182.174967], [50.269265, 56.742158, 73.442304, 84.820703, 302.026124], [75.065538, 88.083927, 105.012041, 115.217984, 444.838143], [39.227112, 51.897153, 54.196077, 57.393014, 337.783770], [173.659582, 182.664926, 249.034603, 285.163441, 801.596787]]
### 6
fourier: [[235.992614, 242.828150, 337.666841, 385.059328, 965.996940], [134.134517, 138.322062, 190.252640, 215.668079, 519.548356], [49.556963, 59.289351, 59.614935, 60.137497, 79.820474], [135.162283, 139.501806, 192.640964, 218.232845, 519.011173], [63.301404, 77.665683, 92.439637, 110.985614, 442.577223], [13.541765, 15.387616, 19.217361, 21.173596, 80.175778], [72.927503, 77.723199, 105.382897, 122.543232, 392.607056], [16.226365, 17.356264, 20.830976, 21.816318, 175.679421]]
### 8
fourier: [[62.932866, 63.699330, 88.969525, 104.965463, 322.673503], [369.829747, 380.554102, 527.932562, 612.935867, 1540.887771], [51.666477, 51.931899, 73.067909, 86.172694, 246.610401], [292.603775, 300.900429, 420.159722, 490.269687, 1262.969859], [5.125981, 5.690463, 6.764233, 8.333157, 74.667204], [322.117307, 331.633411, 460.012963, 533.334258, 1335.461159], [95.613131, 99.208180, 133.944684, 151.226577, 334.879981], [223.491803, 228.288637, 319.478397, 373.766974, 969.401657]]
### 10
fourier: [[663.915612, 680.848830, 954.738772, 1126.340572, 2946.762385]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.4311846681434, 35.00006285778041, 36.026355728314535, 44.063794704470496, 157.17590168118477]}, "1": {"fourier": [24.320668917642806, 24.499450124320475, 25.39255851146853, 29.11009051662237, 151.48232090473175]}, "2": {"fourier": [27.850726219705443, 29.08083377189206, 31.95235878555252, 37.584837031921154, 42.143063724040985]}, "3": {"fourier": [28.09753681422082, 29.632070561751934, 30.14272883165669, 40.92162603382721, 48.741474479436874]}, "4": {"fourier": [34.06102634671905, 34.31618852492922, 43.53537650683141, 52.03195058000049, 146.56868867389858]}, "5": {"fourier": [28.90886856602561, 28.971518673053108, 31.529630860898866, 36.92413460213984, 210.06278648227453]}, "6": {"fourier": [42.19255017892991, 46.57472759258988, 51.94413458968869, 56.44494273253128, 201.69504109025002]}, "7": {"fourier": [22.217549544623594, 22.601872592385813, 22.679410949282506, 22.97042873483981, 25.227747701878293]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [16.0947325907989, 21.55397178853307, 23.189995839048553, 23.33892170293349, 152.76788464188576]}, "1": {"fourier": [30.48699175798254, 32.6123076133395, 35.214706532468476, 36.31145989244494, 100.94695143401623]}, "2": {"fourier": [69.51505899512145, 77.92638702845585, 100.02205844082464, 112.28733414033178, 363.4879275560379]}, "3": {"fourier": [40.6389459207378, 41.038142532987806, 50.30680329813512, 61.49960596653146, 168.247485216707]}, "4": {"fourier": [10.681123940488137, 13.865179703700086, 14.60123313177858, 15.452331050088858, 109.03179356455803]}, "5": {"fourier": [24.76336912673859, 25.730768708425323, 25.821556539808, 28.255954271214737, 37.16042206025217]}, "6": {"fourier": [83.00514836813846, 84.90674497129807, 112.42447568082676, 131.00072320500723, 389.47708220779896]}, "7": {"fourier": [82.44858539905123, 89.81063710414398, 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{"fourier": [95.61313060056764, 99.20817999211293, 133.9446840985865, 151.2265770433716, 334.87998101115227]}, "7": {"fourier": [223.49180307969414, 228.2886365777975, 319.4783967867132, 373.76697368773915, 969.4016571938992]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [663.9156117131223, 680.8488295821228, 954.7387716177628, 1126.340572001273, 2946.7623846530914]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.402585, -0.065155, 0.071437, 0.27233, 1.064228], [0.19855, -0.851659, -0.066215, 0.294241, -0.378988], [0.491331, -0.22215, -0.038932, -0.075607, 0.651182], [0.769556, -0.268258, -0.217289, -0.223652, 0.353041], [0.12989, -0.130067, 0.040439, 0.084127, 1.159644], [0.408753, 0.278724, 0.372864, 0.467846, -0.427034], [0.653519, -0.196088, 0.047017, 0.014074, 1.032436], [0.279647, -0.570195, 0.002804, 0.619086, -0.391649]], "network.0.bias": [0.320352, -0.403559, -0.298035, 0.570815, 0.008806, 0.061998, 0.383372, -0.066964], "network.2.weight": [[-0.27906, -0.363729, -0.0089, -0.168183, 0.059374, -0.067985, -0.262585, -0.374118], [-0.058802, 0.1152, -0.148855, -0.156983, -0.240129, 0.697015, -0.103804, 0.631528], [0.713364, -0.153209, 0.402665, 0.490739, 0.55934, 0.02959, 0.598399, -0.27229], [0.516928, -0.48677, 0.243001, -0.414673, 0.491682, 0.024875, 0.210876, -0.247677], [-0.286236, -0.070179, -0.054812, -0.121101, -0.014438, -0.186789, 0.010968, 0.043248], [0.157477, -0.021829, 0.025631, 0.182752, -0.369321, 0.214573, -0.411455, 0.640263], [0.698619, -0.137655, 0.601382, 0.486773, 0.900439, -0.350632, 0.542894, 0.026709], [0.38225, 0.426414, 0.505616, 0.87838, 0.435145, -0.046024, 0.902776, -0.365955]], "network.2.bias": [-0.121135, 0.144465, -0.320927, -0.108314, -0.09016, 0.410057, 0.117652, -0.070095], "network.4.weight": [[0.058497, -0.403779, -0.453414, -0.119542, 0.353487, -0.016063, -0.12254, -0.431535], [-0.053336, -0.274829, 0.230812, 0.380299, 0.120276, -0.172425, 0.734133, 0.358275], [0.027403, 0.622975, -0.172498, -0.367285, -0.191054, 0.579438, -0.003062, -0.31077], [0.109522, 0.743758, -0.107854, -0.652117, 0.34501, 0.298267, -0.270634, -0.24334], [-0.255065, 0.07044, -0.322439, -0.298022, 0.343457, -0.258019, -0.095192, -0.167889], [-0.198677, -0.250577, -0.089179, -0.109201, -0.071261, -0.272544, -0.39751, -0.472706], [0.183459, -0.474199, -0.463417, -0.013228, -0.319691, -0.15803, -0.153161, 0.02518], [0.382647, -0.074364, 0.750399, 0.73584, -0.230892, -0.531335, 0.648797, 0.536628]], "network.4.bias": [-0.075542, 0.042163, 0.181868, 0.582763, -0.231033, 0.040825, -0.468005, -0.226924], "network.6.weight": [[-0.113514, 0.798482, -0.580645, -0.292253, -0.145291, 0.03534, 0.359773, 0.763606], [0.108356, 0.423253, -0.203706, -0.459271, -0.10168, -0.219976, 0.175, 0.434804], [0.033929, -0.208706, 0.394548, 0.949987, -0.323039, 0.147146, -0.323045, 0.003959], [0.117826, 0.363693, -0.401587, -0.247542, -0.264762, 0.048202, 0.291921, 0.485463], [-0.018137, 0.097024, -0.354415, -0.511072, -0.197818, -0.090182, 0.15493, -0.501649], [-0.06209, 0.270599, -0.011587, -0.034812, 0.248334, 0.112002, -0.135026, -0.261898], [0.316933, -0.200128, 0.114415, -0.230337, -0.224393, 0.147749, -0.201769, -0.30052], [0.312026, 0.261299, -0.270382, -0.340386, -0.130701, -0.296787, 0.326682, -0.286581]], "network.6.bias": [-0.154299, -0.048313, 0.724853, -0.177444, -0.087606, -0.132066, -0.294264, -0.332274], "network.8.weight": [[-0.349795, 0.087622, -0.043809, 0.034299, 0.012802, -0.015345, 0.274026, 0.303684], [0.728011, 0.861158, -0.61187, 0.683231, -0.206892, 0.274091, 0.030447, -0.037796], [-0.114874, 0.108084, -0.00871, -0.311254, -0.000595, -0.231538, 0.082083, 0.3392], [0.894511, 0.336247, -0.275108, 0.363882, 0.130916, 0.201927, -0.349453, 0.308774], [-0.261232, 0.19483, -0.211403, 0.240597, -0.126818, -0.217897, -0.331828, -0.053739], [0.819103, 0.403981, -0.56312, 0.602042, -0.161654, -0.121229, -0.077765, -0.210049], [-0.282729, 0.062032, 0.436537, -0.223781, 0.068024, 0.285176, -0.098184, 0.295615], [0.695024, 0.363486, -0.137011, 0.156469, 0.104849, 0.087662, 0.119974, -0.16328]], "network.8.bias": [-0.249998, -0.087773, -0.097048, -0.289246, -0.230226, -0.070328, -0.177349, -0.334294], "network.10.weight": [[-0.178607, -0.449599, 0.06221, -0.753207, -0.078615, -0.475621, 0.440814, -0.648308]], "network.10.bias": [0.753154]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061075866222382, "train_acc": 0.435, "val_loss": 0.6892942786216736, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757219135761261, "train_acc": 0.575, "val_loss": 0.6789021492004395, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6358359158039093, "train_acc": 0.575, "val_loss": 0.5983940958976746, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.539980560541153, "train_acc": 0.495, "val_loss": 0.45247164368629456, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41949795186519623, "train_acc": 0.855, "val_loss": 0.39890480041503906, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3790562152862549, "train_acc": 0.89, "val_loss": 0.38122978806495667, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3703633099794388, "train_acc": 0.885, "val_loss": 0.36265671253204346, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3432827293872833, "train_acc": 0.885, "val_loss": 0.3424822986125946, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.31916072964668274, "train_acc": 0.89, "val_loss": 0.2843368649482727, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2683883607387543, "train_acc": 0.895, "val_loss": 0.2553749978542328, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2655782401561737, "train_acc": 0.9, "val_loss": 0.3599455654621124, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.29131216555833817, "train_acc": 0.885, "val_loss": 0.3555135726928711, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.36436615884304047, "train_acc": 0.88, "val_loss": 0.3531695306301117, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6892942786216736, "final_val_loss": 0.5983940958976746, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.45247164368629456, "final_val_loss": 0.3531695306301117, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
11
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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],
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"network.2.weight": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.708080, 20.321434, 23.651636, 33.211318, 51.306732], [40.313619, 42.106211, 45.843271, 51.126371, 186.175754], [34.434267, 37.357726, 39.379754, 41.780557, 183.377018], [12.853213, 13.683281, 14.506823, 15.730426, 17.484593], [28.587821, 32.252902, 33.791494, 34.037018, 160.344209], [18.288522, 18.630073, 19.436484, 23.099105, 32.609539], [42.381794, 45.016128, 48.361210, 51.354219, 200.428949], [19.457364, 21.549673, 24.006884, 26.167944, 27.997437]]
### 2
fourier: [[73.875851, 74.824880, 78.954804, 86.907652, 442.662706], [41.824442, 42.184766, 43.880448, 47.382405, 213.114059], [54.528467, 60.234902, 62.800263, 64.124434, 377.086850], [18.318732, 18.325987, 18.779507, 22.158176, 111.446739], [11.583337, 11.892882, 11.929636, 12.706228, 80.013542], [52.493859, 54.418573, 58.915155, 61.006291, 341.672785], [12.131012, 12.204420, 12.527710, 14.849177, 83.736639], [14.282043, 16.679499, 18.739207, 19.248858, 127.572274]]
### 4
fourier: [[84.548761, 86.206285, 94.130576, 99.558306, 537.763411], [46.711801, 48.172097, 52.304022, 55.138391, 305.296396], [39.908360, 40.554925, 44.051109, 46.306791, 268.165424], [88.856749, 90.105941, 98.718973, 104.498088, 557.384663], [23.608060, 25.358333, 26.874552, 27.557816, 189.057191], [21.755651, 21.864055, 23.531170, 25.738641, 163.345191], [84.643129, 85.532547, 93.905772, 99.451244, 528.209836], [38.622815, 39.002574, 42.663042, 45.593250, 244.737196]]
### 6
fourier: [[165.415112, 168.140032, 184.091376, 194.345088, 1040.982742], [157.855054, 160.676442, 175.829344, 185.352863, 1016.005475], [20.511549, 20.857793, 22.786661, 24.000574, 138.505543], [9.117230, 9.193649, 10.058352, 10.763143, 82.056549], [55.777425, 56.518677, 62.100218, 65.414468, 376.990054], [65.635160, 66.739828, 73.044926, 76.962459, 422.788493], [109.366750, 111.202425, 121.676675, 128.410530, 677.515901], [59.098113, 59.886374, 65.603069, 69.342577, 384.682366]]
### 8
fourier: [[187.842913, 190.994499, 209.117474, 220.546224, 1139.454107]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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]
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"network.2.weight": [
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"network.6.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.708080, 20.321434, 23.651636, 33.211318, 51.306732], [40.313619, 42.106211, 45.843271, 51.126371, 186.175754], [34.434267, 37.357726, 39.379754, 41.780557, 183.377018], [12.853213, 13.683281, 14.506823, 15.730426, 17.484593], [28.587821, 32.252902, 33.791494, 34.037018, 160.344209], [18.288522, 18.630073, 19.436484, 23.099105, 32.609539], [42.381794, 45.016128, 48.361210, 51.354219, 200.428949], [19.457364, 21.549673, 24.006884, 26.167944, 27.997437]]
### 2
fourier: [[73.875851, 74.824880, 78.954804, 86.907652, 442.662706], [41.824442, 42.184766, 43.880448, 47.382405, 213.114059], [54.528467, 60.234902, 62.800263, 64.124434, 377.086850], [18.318732, 18.325987, 18.779507, 22.158176, 111.446739], [11.583337, 11.892882, 11.929636, 12.706228, 80.013542], [52.493859, 54.418573, 58.915155, 61.006291, 341.672785], [12.131012, 12.204420, 12.527710, 14.849177, 83.736639], [14.282043, 16.679499, 18.739207, 19.248858, 127.572274]]
### 4
fourier: [[84.548761, 86.206285, 94.130576, 99.558306, 537.763411], [46.711801, 48.172097, 52.304022, 55.138391, 305.296396], [39.908360, 40.554925, 44.051109, 46.306791, 268.165424], [88.856749, 90.105941, 98.718973, 104.498088, 557.384663], [23.608060, 25.358333, 26.874552, 27.557816, 189.057191], [21.755651, 21.864055, 23.531170, 25.738641, 163.345191], [84.643129, 85.532547, 93.905772, 99.451244, 528.209836], [38.622815, 39.002574, 42.663042, 45.593250, 244.737196]]
### 6
fourier: [[165.415112, 168.140032, 184.091376, 194.345088, 1040.982742], [157.855054, 160.676442, 175.829344, 185.352863, 1016.005475], [20.511549, 20.857793, 22.786661, 24.000574, 138.505543], [9.117230, 9.193649, 10.058352, 10.763143, 82.056549], [55.777425, 56.518677, 62.100218, 65.414468, 376.990054], [65.635160, 66.739828, 73.044926, 76.962459, 422.788493], [109.366750, 111.202425, 121.676675, 128.410530, 677.515901], [59.098113, 59.886374, 65.603069, 69.342577, 384.682366]]
### 8
fourier: [[187.842913, 190.994499, 209.117474, 220.546224, 1139.454107]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.232507, 0.35809, -0.347373, 0.18944, -0.370947], [0.943591, 0.545997, 0.281527, -0.193427, -0.283248], [0.919623, 0.259955, 0.084922, 0.207658, -0.593124], [-0.215335, -0.277695, 0.136213, 0.321419, 0.027913], [0.736578, 0.327293, -0.084457, 0.255451, -0.392593], [-0.18573, -0.431708, 0.000148, 0.416982, -0.313526], [0.862742, 0.548214, 0.449527, -0.076835, -0.441428], [-0.088135, 0.367769, -0.442071, 0.146149, -0.234181]], "network.0.bias": [0.405093, 0.075498, 0.528222, -0.059448, 0.38139, 0.147649, -0.075432, 0.134446], "network.2.weight": [[0.663792, 0.608547, 0.408287, -0.089414, 0.326886, 0.246934, 0.559909, 0.15293], [-0.027732, 0.059364, -0.434756, 0.508211, -0.551861, -0.650932, -0.355577, 0.063599], [0.659273, 0.287953, 0.493529, -0.155618, 0.276349, 0.391375, 0.346555, 0.544293], [-0.097454, -0.290301, -0.332729, -0.098521, 0.291102, -0.007108, -0.07212, -0.309073], [0.360099, -0.132311, -0.388692, -0.238798, -0.077055, 0.315169, 0.149695, -0.015221], [0.505815, 0.308136, 0.285579, 0.072421, 0.556361, 0.450882, 0.296588, 0.157661], [0.307768, -0.175843, -0.354227, -0.168732, 0.270973, -0.174213, -0.089531, -0.460465], [-0.106157, 0.10505, -0.097524, -0.414985, -0.374969, -0.020542, -0.104906, -0.156948]], "network.2.bias": [0.10775, 0.306675, 0.344154, -0.017807, -0.27916, 0.104542, -0.051622, -0.165802], "network.4.weight": [[0.521623, -0.044786, 0.706354, -0.211756, -0.088858, 0.146279, 0.162883, 0.00394], [0.264959, -0.186877, 0.471873, -0.026625, 0.447499, 0.027781, -0.306572, 0.212836], [0.154074, -0.608715, 0.245219, -0.210724, -0.136925, 0.272682, 0.126465, -0.095525], [0.532048, -0.184185, 0.570231, 0.042919, -0.016055, 0.353829, -0.190292, -0.077219], [0.002995, -0.125959, -0.235026, -0.069661, 0.110882, -0.211164, -0.189872, 0.107078], [-0.295545, -0.174376, -0.198862, 0.267114, 0.159777, 0.206889, -0.032812, 0.298991], [0.494764, -0.246133, 0.435396, 0.215385, 0.419497, 0.465132, -0.040534, 0.000237], [0.324228, -0.176156, 0.310523, -0.346955, -0.045972, -0.043521, 0.161747, 0.426054]], "network.4.bias": [-0.102594, 0.019318, 0.201728, -0.143695, -0.320159, -0.301063, -0.137709, 0.000846], "network.6.weight": [[0.507495, 0.588224, 0.210397, 0.318204, -0.040008, 0.254715, 0.450113, 0.525091], [0.568671, 0.261247, 0.598909, 0.392364, 0.156626, -0.296074, 0.324468, 0.300426], [-0.122725, 0.14566, -0.086069, -0.09444, -0.319536, -0.140988, -0.174259, 0.249296], [0.030628, -0.10085, 0.193734, -0.280499, 0.046072, 0.072419, 0.135735, -0.029868], [-0.067062, 0.050121, -0.425472, 0.137627, 0.114407, -0.122948, -0.378808, -0.411318], [-0.154362, -0.051687, -0.237918, -0.120052, -0.114186, -0.056962, -0.406485, 0.11199], [0.121604, 0.464515, 0.047361, 0.557175, 0.180179, -0.035685, 0.28616, 0.04352], [-0.15704, -0.074897, 0.061309, -0.127663, -0.353852, 0.141409, -0.424097, 0.06696]], "network.6.bias": [-0.143506, 0.052303, -0.112411, -0.309408, -0.190737, -0.059367, -0.17313, -0.163213], "network.8.weight": [[-0.508295, -0.262579, -0.218758, -0.026659, 0.014309, 0.008249, -0.570165, -0.126257]], "network.8.bias": [0.481864]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910922229290009, "train_acc": 0.515, "val_loss": 0.6403840780258179, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5600602030754089, "train_acc": 0.595, "val_loss": 0.5815702080726624, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5276748836040497, "train_acc": 0.665, "val_loss": 0.5575673580169678, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4873003661632538, "train_acc": 0.82, "val_loss": 0.46848446130752563, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4160561263561249, "train_acc": 0.85, "val_loss": 0.42793434858322144, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4285372197628021, "train_acc": 0.845, "val_loss": 0.3879726529121399, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36845070123672485, "train_acc": 0.875, "val_loss": 0.40172863006591797, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.351170614361763, "train_acc": 0.86, "val_loss": 0.37403634190559387, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3362812399864197, "train_acc": 0.895, "val_loss": 0.3452093005180359, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3305865079164505, "train_acc": 0.865, "val_loss": 0.34032219648361206, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.3057195693254471, "train_acc": 0.87, "val_loss": 0.336355984210968, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.29562631249427795, "train_acc": 0.895, "val_loss": 0.31937357783317566, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6403840780258179, "final_val_loss": 0.5815702080726624, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5575673580169678, "final_val_loss": 0.31937357783317566, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.54, "first_improvement_epoch": 1}}
|
12
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4349, "learning_rate": 0.03446770243187198, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[24.225683, 25.222209, 29.985442, 31.287507, 189.501783], [25.320364, 25.522926, 27.346956, 29.114600, 194.062283], [26.240333, 28.049094, 30.193250, 33.203879, 214.199499], [18.746978, 19.620022, 19.671083, 23.863082, 55.074208], [14.587264, 14.643460, 15.821669, 16.087753, 17.073394], [19.912439, 19.989562, 20.836610, 24.569883, 65.569441], [15.522795, 18.381165, 20.937905, 24.488685, 44.539397]]
### 2
fourier: [[4.628921, 4.814953, 5.572089, 6.414384, 6.522034], [18.552286, 20.923704, 21.021203, 22.504180, 136.359957], [3.367145, 3.381191, 3.560765, 4.687864, 28.567323], [16.396539, 17.883024, 19.757399, 21.044367, 129.989520], [4.536603, 4.933234, 5.230983, 5.516590, 14.913661], [10.893364, 11.806285, 13.546106, 13.588980, 128.600407], [9.791727, 10.033976, 10.518497, 11.428394, 77.835072]]
### 4
fourier: [[15.626781, 15.806367, 17.902021, 18.797697, 67.854915], [9.039241, 9.564394, 10.541404, 11.238184, 46.828572], [13.920248, 14.360049, 15.776402, 15.851596, 77.420278], [4.487401, 4.643269, 5.619201, 5.649962, 16.235561], [6.318827, 6.861251, 7.010333, 7.032918, 96.246801], [2.054880, 2.138015, 2.209318, 2.241327, 6.219052], [10.303035, 10.769521, 12.461416, 13.050911, 54.126123]]
### 6
fourier: [[1.651950, 1.716744, 1.742421, 1.843950, 6.750624], [10.598921, 11.285932, 12.039460, 12.809649, 45.385211], [1.734360, 1.807224, 1.840673, 1.908576, 4.220265], [20.610780, 21.698139, 23.262909, 24.732926, 85.481845], [11.615978, 12.277705, 13.150906, 13.767974, 59.536282], [18.337461, 19.281844, 20.553047, 21.765748, 104.834726], [5.947301, 6.290782, 6.661305, 6.890559, 15.838943]]
### 8
fourier: [[0.607268, 0.611723, 0.675222, 0.680307, 9.324908], [16.475367, 17.746387, 18.016139, 19.624801, 64.894850], [21.883067, 23.496669, 23.971193, 26.012813, 79.533576], [21.189064, 22.737331, 23.245638, 25.146655, 113.223313], [4.387638, 4.704069, 4.710642, 4.783675, 5.222434], [15.929862, 17.125536, 17.429427, 18.964382, 55.634066], [4.055955, 4.374014, 4.394031, 4.835041, 17.554583]]
### 10
fourier: [[3.161953, 3.365104, 3.460408, 3.757155, 9.787246], [4.471305, 4.823655, 4.870182, 5.312520, 13.102465], [6.151340, 6.681365, 6.713480, 7.294589, 34.459788], [7.919299, 8.194401, 8.552398, 9.070538, 9.808779], [21.801137, 23.175613, 23.895013, 25.873535, 111.404232], [18.165165, 19.477096, 19.869855, 21.562099, 62.091296], [0.924515, 0.927026, 1.000272, 1.101895, 3.933714]]
### 12
fourier: [[11.915548, 12.478935, 13.314706, 14.167677, 40.455156]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[24.225683, 25.222209, 29.985442, 31.287507, 189.501783], [25.320364, 25.522926, 27.346956, 29.114600, 194.062283], [26.240333, 28.049094, 30.193250, 33.203879, 214.199499], [18.746978, 19.620022, 19.671083, 23.863082, 55.074208], [14.587264, 14.643460, 15.821669, 16.087753, 17.073394], [19.912439, 19.989562, 20.836610, 24.569883, 65.569441], [15.522795, 18.381165, 20.937905, 24.488685, 44.539397]]
### 2
fourier: [[4.628921, 4.814953, 5.572089, 6.414384, 6.522034], [18.552286, 20.923704, 21.021203, 22.504180, 136.359957], [3.367145, 3.381191, 3.560765, 4.687864, 28.567323], [16.396539, 17.883024, 19.757399, 21.044367, 129.989520], [4.536603, 4.933234, 5.230983, 5.516590, 14.913661], [10.893364, 11.806285, 13.546106, 13.588980, 128.600407], [9.791727, 10.033976, 10.518497, 11.428394, 77.835072]]
### 4
fourier: [[15.626781, 15.806367, 17.902021, 18.797697, 67.854915], [9.039241, 9.564394, 10.541404, 11.238184, 46.828572], [13.920248, 14.360049, 15.776402, 15.851596, 77.420278], [4.487401, 4.643269, 5.619201, 5.649962, 16.235561], [6.318827, 6.861251, 7.010333, 7.032918, 96.246801], [2.054880, 2.138015, 2.209318, 2.241327, 6.219052], [10.303035, 10.769521, 12.461416, 13.050911, 54.126123]]
### 6
fourier: [[1.651950, 1.716744, 1.742421, 1.843950, 6.750624], [10.598921, 11.285932, 12.039460, 12.809649, 45.385211], [1.734360, 1.807224, 1.840673, 1.908576, 4.220265], [20.610780, 21.698139, 23.262909, 24.732926, 85.481845], [11.615978, 12.277705, 13.150906, 13.767974, 59.536282], [18.337461, 19.281844, 20.553047, 21.765748, 104.834726], [5.947301, 6.290782, 6.661305, 6.890559, 15.838943]]
### 8
fourier: [[0.607268, 0.611723, 0.675222, 0.680307, 9.324908], [16.475367, 17.746387, 18.016139, 19.624801, 64.894850], [21.883067, 23.496669, 23.971193, 26.012813, 79.533576], [21.189064, 22.737331, 23.245638, 25.146655, 113.223313], [4.387638, 4.704069, 4.710642, 4.783675, 5.222434], [15.929862, 17.125536, 17.429427, 18.964382, 55.634066], [4.055955, 4.374014, 4.394031, 4.835041, 17.554583]]
### 10
fourier: [[3.161953, 3.365104, 3.460408, 3.757155, 9.787246], [4.471305, 4.823655, 4.870182, 5.312520, 13.102465], [6.151340, 6.681365, 6.713480, 7.294589, 34.459788], [7.919299, 8.194401, 8.552398, 9.070538, 9.808779], [21.801137, 23.175613, 23.895013, 25.873535, 111.404232], [18.165165, 19.477096, 19.869855, 21.562099, 62.091296], [0.924515, 0.927026, 1.000272, 1.101895, 3.933714]]
### 12
fourier: [[11.915548, 12.478935, 13.314706, 14.167677, 40.455156]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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{"fourier": [6.151339504831009, 6.681364573756323, 6.713480029251915, 7.294589491125922, 34.45978781580925]}, "3": {"fourier": [7.9192988653228635, 8.194400527060218, 8.552398115000328, 9.070538072241668, 9.80877879762764]}, "4": {"fourier": [21.801136517523275, 23.175612558532503, 23.895013433769115, 25.87353509088912, 111.40423150360584]}, "5": {"fourier": [18.1651645749802, 19.477096228305328, 19.8698554714743, 21.56209930246039, 62.09129621833563]}, "6": {"fourier": [0.9245154001490478, 0.9270257638981091, 1.0002719509921059, 1.1018954610029252, 3.9337141290307045]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [11.915548015658205, 12.47893491493592, 13.314705551766068, 14.167677196466338, 40.4551562294364]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.299437, -0.385842, 0.090188, -0.314723, -0.371977], [-0.290631, 0.564403, 0.239769, 0.428066, -0.014876], [0.101461, 0.47342, 0.310931, -0.047392, 0.481388], [-0.164078, 0.169055, 0.297478, -0.562064, 0.188777], [-0.054524, 0.128683, 0.092609, -0.498496, 0.104015], [-0.160612, 0.306698, -0.435921, -0.517349, 0.192794], [-0.443809, 0.266681, -0.061857, -0.121817, -0.172611]], "network.0.bias": [-0.084568, 0.088987, 0.249474, -0.364715, 0.42174, 0.694689, 0.17479], "network.2.weight": [[0.229089, -0.00318, -0.020815, 0.265668, 0.552147, 0.103558, 0.214516], [0.37537, 0.369742, 0.339357, -0.3732, -0.550568, -0.451775, -0.132377], [0.327616, 0.134339, -0.018164, -0.040619, 0.094086, -0.147781, 0.072745], [-0.243184, -0.221667, -0.499231, 0.378398, 0.057299, 0.414997, 0.258356], [0.034402, 0.055215, 0.010488, 0.361375, 0.086359, 0.561197, 0.165798], [-0.167056, -0.212225, -0.272354, 0.276031, -0.074202, 0.269377, 0.021577], [0.083291, 0.351827, -0.03349, 0.307866, -0.507314, -0.137237, 0.140528]], "network.2.bias": [-0.165381, 0.189154, 0.088298, 0.046859, -0.118813, -0.409156, 0.269566], "network.4.weight": [[-0.439193, 0.578128, 0.336274, 0.324145, -0.24526, 0.583048, 0.235689], [-0.024909, 0.328611, -0.155831, 0.566121, -0.322519, 0.000473, 0.301053], [-0.550332, 0.584172, -0.315333, 0.045712, 0.159767, 0.217143, 0.256811], [-0.300517, 0.194082, 0.166231, 0.206897, -0.197601, 0.180892, -0.040691], [0.09395, -0.302921, 0.07625, 0.047829, -0.247051, 0.592279, -0.112939], [-0.036137, -0.053069, 0.212877, -0.536519, 0.225223, -0.658429, -0.054267], [-0.186734, 0.471369, 0.224688, 0.504013, -0.367375, 0.480323, -0.014698]], "network.4.bias": [-0.213677, -0.072202, -0.095556, -0.041861, -0.468766, -0.128358, 0.015395], "network.6.weight": [[0.381002, -0.146495, -0.005472, 0.210914, -0.055238, 0.322761, -0.311604], [0.443837, 0.095965, 0.100939, 0.213574, 0.200929, -0.404293, 0.087021], [0.048462, -0.094834, -0.211166, 0.130661, -0.025123, 0.125368, 0.095948], [0.465282, 0.291645, 0.386068, 0.172964, -0.223337, -0.395571, 0.535585], [0.268322, 0.25347, 0.346255, 0.29895, 0.24342, -0.411612, -0.055946], [0.455018, 0.314174, 0.41869, -0.002404, 0.199829, -0.281814, 0.293685], [0.055019, -0.388603, -0.27994, -0.069307, -0.565413, 0.194532, 0.103242]], "network.6.bias": [-0.147013, 0.001196, 0.057708, -0.170886, 0.093119, 0.229762, 0.05707], "network.8.weight": [[-0.315556, 0.002115, 0.152239, 0.062593, 0.12302, -0.1599, -0.060863], [-0.259175, 0.389509, 0.035891, 0.240896, 0.465407, 0.135503, -0.163064], [0.132241, 0.364366, 0.042616, 0.304793, 0.308995, 0.440239, -0.24862], [0.141331, 0.064517, 0.017478, 0.242558, 0.461104, 0.546176, -0.105085], [-0.214115, 0.011096, 0.035261, -0.272451, 0.213754, -0.055597, 0.149456], [-0.22721, 0.178086, -0.262713, 0.423526, -0.0322, 0.316493, -0.080989], [-0.203038, 0.078132, -0.2092, -0.242899, -0.090539, 0.061902, 0.064757]], "network.8.bias": [-0.07039, -0.107984, -0.222842, 0.144278, 0.131309, -0.195258, -0.02554], "network.10.weight": [[-0.30754, 0.294565, 0.006737, -0.106337, -0.073769, -0.379683, 0.195221], [0.249911, -0.267208, -0.085313, 0.207285, -0.141743, 0.386791, -0.079209], [0.001737, 0.191421, 0.046424, 0.268564, 0.053529, -0.262089, -0.338141], [-0.355066, -0.505953, -0.000946, 0.17831, 0.321354, -0.250339, -0.149058], [-0.220044, 0.253543, 0.413146, 0.327912, -0.054648, 0.120993, -0.103577], [0.120733, 0.132601, 0.174534, 0.481445, -0.290635, 0.089768, -0.247211], [0.186603, 0.174211, 0.061225, -0.000962, 0.096, -0.346792, -0.427548]], "network.10.bias": [0.036352, -0.066944, 0.032368, 0.2419, 0.21981, -0.186852, 0.064295], "network.12.weight": [[0.053797, -0.015651, -0.047044, 0.202498, -0.355221, -0.188317, -0.006158]], "network.12.bias": [0.0912]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845956146717072, "train_acc": 0.58, "val_loss": 0.6984376311302185, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795569062232971, "train_acc": 0.58, "val_loss": 0.7078976631164551, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6739910840988159, "train_acc": 0.58, "val_loss": 0.6878296732902527, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6472643613815308, "train_acc": 0.58, "val_loss": 0.6462990641593933, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.661202609539032, "train_acc": 0.495, "val_loss": 0.6183338165283203, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6332604587078094, "train_acc": 0.495, "val_loss": 0.624550461769104, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6101609170436859, "train_acc": 0.775, "val_loss": 0.5325605273246765, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5834166705608368, "train_acc": 0.73, "val_loss": 0.5029130578041077, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5284034609794617, "train_acc": 0.75, "val_loss": 0.5085171461105347, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5198995769023895, "train_acc": 0.775, "val_loss": 0.5122090578079224, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.49437834322452545, "train_acc": 0.765, "val_loss": 0.45363643765449524, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.44786785542964935, "train_acc": 0.8, "val_loss": 0.45389869809150696, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.42138485610485077, "train_acc": 0.795, "val_loss": 0.41982463002204895, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.412054643034935, "train_acc": 0.835, "val_loss": 0.3884626626968384, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.6984376311302185, "final_val_loss": 0.6462990641593933, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6183338165283203, "final_val_loss": 0.3884626626968384, "initial_val_acc": 0.52, "final_val_acc": 0.82, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
13
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.054312033149829644, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-0.411849,
0.046692,
0.167275,
0.340676,
-0.063707
],
[
-0.428759,
-0.430085,
0.043016,
0.207977,
0.626719,
0.322916
]
],
"network.10.bias": [
0.789182,
0.348385,
-0.117066,
-0.038941,
0.208534,
0.012751
],
"network.12.weight": [
[
-0.971153,
0.293201,
0.160731,
0.300403,
0.34689,
0.595797
]
],
"network.12.bias": [
-0.41261
]
}
## Activation Signature
### 0
fourier: [[41.677888, 42.202836, 50.257908, 54.662489, 260.822262], [42.104114, 43.419362, 51.287534, 55.140506, 283.809135], [34.012640, 36.110218, 39.315515, 45.457518, 82.771681], [37.783750, 38.184146, 39.151720, 45.869056, 222.072776], [37.635143, 37.726934, 37.811917, 39.020307, 47.503840], [50.230510, 51.493133, 53.493601, 55.971026, 353.409635]]
### 2
fourier: [[13.354963, 14.654645, 15.042211, 16.511596, 106.596845], [17.505310, 18.944704, 20.663339, 21.193297, 124.731694], [16.194240, 16.370347, 19.105150, 21.145763, 125.487125], [60.073362, 63.895478, 65.743134, 73.382986, 319.733260], [37.194780, 39.837689, 40.108091, 42.635757, 252.920011], [93.305468, 97.276351, 101.901142, 102.136125, 460.435215]]
### 4
fourier: [[8.683028, 8.917450, 9.274266, 10.779127, 17.062446], [0.694477, 0.706873, 0.714707, 0.734280, 72.077747], [4.574193, 4.829616, 5.047990, 6.115244, 31.526811], [6.039057, 6.109510, 6.410200, 7.395726, 33.757799], [3.650792, 4.149298, 4.271858, 5.184719, 38.983452], [4.309373, 4.629953, 4.733276, 5.843187, 63.218284]]
### 6
fourier: [[4.398972, 4.487605, 4.807944, 5.835716, 65.971577], [9.665649, 10.236951, 10.730257, 12.896081, 48.874440], [7.365278, 7.733425, 8.048248, 9.427691, 65.795302], [7.783457, 7.906650, 8.381213, 10.235752, 83.750150], [6.060554, 6.191687, 6.649462, 8.267371, 11.355553], [2.861439, 2.894227, 3.323917, 4.458780, 31.003699]]
### 8
fourier: [[10.195486, 10.369766, 11.238060, 14.000709, 82.252216], [9.024437, 9.245039, 10.126717, 13.183104, 67.942858], [6.240950, 6.347321, 6.885421, 8.607789, 11.000857], [1.688048, 1.732094, 1.740271, 1.835297, 7.816281], [11.781613, 12.124224, 13.051422, 13.173417, 15.862382], [9.672045, 9.786855, 10.674763, 13.603784, 92.817924]]
### 10
fourier: [[15.696685, 16.325270, 17.648404, 24.109504, 215.872899], [13.051952, 13.276785, 14.561287, 19.101000, 57.288282], [1.688754, 1.715298, 1.880099, 2.485590, 26.058232], [9.199519, 9.235428, 10.291412, 12.665920, 34.976227], [9.150242, 9.384099, 10.229289, 13.800775, 57.300597], [9.282937, 9.398164, 10.290880, 12.802355, 19.477389]]
### 12
fourier: [[22.508655, 23.691225, 25.864497, 33.381640, 254.402658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.069769,
-0.2102,
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0.340507,
-1.053062
],
[
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0.023931,
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],
[
0.190821,
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0.014692,
0.217046,
-0.694164
],
[
-0.773879,
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-0.178339,
-0.152687,
-0.208964
],
[
-0.930998,
-0.480407,
0.096682,
0.355868,
0.699151
],
[
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0.808348,
0.526074,
0.039056,
-0.048697
]
],
"network.0.bias": [
-0.613419,
0.024291,
-0.356926,
0.321115,
0.502851,
0.287406
],
"network.2.weight": [
[
-0.050569,
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0.001538,
-0.319642,
-0.217774,
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],
[
0.15805,
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0.422112,
0.805866,
-0.633092,
0.1271
],
[
0.201575,
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0.265551,
0.695296,
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0.135392
],
[
-0.21599,
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0.576033,
-0.722025
],
[
0.064513,
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0.327661,
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0.09107,
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],
[
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-1.156863,
0.549035,
-0.81373
]
],
"network.2.bias": [
0.134534,
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0.575959
],
"network.4.weight": [
[
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0.153906,
0.558093,
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],
[
-0.208945,
0.061708,
0.256379,
-0.188682,
0.083792,
0.079701
],
[
0.396283,
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0.554145,
-0.456101
],
[
0.279582,
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0.404705,
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],
[
1.024035,
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0.100755,
0.094243
],
[
-0.643668,
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-0.03676,
-0.302451,
0.583478
]
],
"network.4.bias": [
0.014225,
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0.434858,
0.384356,
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0.496415
],
"network.6.weight": [
[
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],
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[
0.648406,
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]
],
"network.6.bias": [
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0.513795,
0.049055,
0.009643
],
"network.8.weight": [
[
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],
[
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[
0.019837,
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[
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[
-0.404559,
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]
],
"network.8.bias": [
0.709052,
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],
"network.10.weight": [
[
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],
[
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],
[
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[
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],
[
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],
[
-0.428759,
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0.043016,
0.207977,
0.626719,
0.322916
]
],
"network.10.bias": [
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0.208534,
0.012751
],
"network.12.weight": [
[
-0.971153,
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0.160731,
0.300403,
0.34689,
0.595797
]
],
"network.12.bias": [
-0.41261
]
}
## Activation Signature
### 0
fourier: [[41.677888, 42.202836, 50.257908, 54.662489, 260.822262], [42.104114, 43.419362, 51.287534, 55.140506, 283.809135], [34.012640, 36.110218, 39.315515, 45.457518, 82.771681], [37.783750, 38.184146, 39.151720, 45.869056, 222.072776], [37.635143, 37.726934, 37.811917, 39.020307, 47.503840], [50.230510, 51.493133, 53.493601, 55.971026, 353.409635]]
### 2
fourier: [[13.354963, 14.654645, 15.042211, 16.511596, 106.596845], [17.505310, 18.944704, 20.663339, 21.193297, 124.731694], [16.194240, 16.370347, 19.105150, 21.145763, 125.487125], [60.073362, 63.895478, 65.743134, 73.382986, 319.733260], [37.194780, 39.837689, 40.108091, 42.635757, 252.920011], [93.305468, 97.276351, 101.901142, 102.136125, 460.435215]]
### 4
fourier: [[8.683028, 8.917450, 9.274266, 10.779127, 17.062446], [0.694477, 0.706873, 0.714707, 0.734280, 72.077747], [4.574193, 4.829616, 5.047990, 6.115244, 31.526811], [6.039057, 6.109510, 6.410200, 7.395726, 33.757799], [3.650792, 4.149298, 4.271858, 5.184719, 38.983452], [4.309373, 4.629953, 4.733276, 5.843187, 63.218284]]
### 6
fourier: [[4.398972, 4.487605, 4.807944, 5.835716, 65.971577], [9.665649, 10.236951, 10.730257, 12.896081, 48.874440], [7.365278, 7.733425, 8.048248, 9.427691, 65.795302], [7.783457, 7.906650, 8.381213, 10.235752, 83.750150], [6.060554, 6.191687, 6.649462, 8.267371, 11.355553], [2.861439, 2.894227, 3.323917, 4.458780, 31.003699]]
### 8
fourier: [[10.195486, 10.369766, 11.238060, 14.000709, 82.252216], [9.024437, 9.245039, 10.126717, 13.183104, 67.942858], [6.240950, 6.347321, 6.885421, 8.607789, 11.000857], [1.688048, 1.732094, 1.740271, 1.835297, 7.816281], [11.781613, 12.124224, 13.051422, 13.173417, 15.862382], [9.672045, 9.786855, 10.674763, 13.603784, 92.817924]]
### 10
fourier: [[15.696685, 16.325270, 17.648404, 24.109504, 215.872899], [13.051952, 13.276785, 14.561287, 19.101000, 57.288282], [1.688754, 1.715298, 1.880099, 2.485590, 26.058232], [9.199519, 9.235428, 10.291412, 12.665920, 34.976227], [9.150242, 9.384099, 10.229289, 13.800775, 57.300597], [9.282937, 9.398164, 10.290880, 12.802355, 19.477389]]
### 12
fourier: [[22.508655, 23.691225, 25.864497, 33.381640, 254.402658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [41.67788773856454, 42.202836137899006, 50.25790785584988, 54.662488708589606, 260.8222621381283]}, "1": {"fourier": [42.1041137314116, 43.41936151001202, 51.28753366399626, 55.14050593455824, 283.80913527309895]}, "2": {"fourier": [34.01264016241525, 36.11021756270648, 39.31551481204201, 45.457517676417936, 82.77168136835098]}, "3": {"fourier": [37.78374976411707, 38.184145696969225, 39.151720393320204, 45.869056245962106, 222.0727764815092]}, "4": {"fourier": [37.63514266237572, 37.72693440011678, 37.811916753972746, 39.02030733405002, 47.503839729948304]}, "5": {"fourier": [50.23050978974868, 51.49313255549267, 53.4936008456209, 55.97102574564787, 353.4096347242594]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [13.354963212579154, 14.654644544956223, 15.042210952288565, 16.511595689467715, 106.59684546291828]}, "1": {"fourier": [17.505309626410387, 18.944703725661086, 20.663339176477663, 21.193296612804403, 124.73169386386871]}, "2": {"fourier": [16.19423959004141, 16.370346707746254, 19.105149542155583, 21.145763076559753, 125.48712548613548]}, "3": {"fourier": [60.07336161551421, 63.89547803440904, 65.7431337005737, 73.38298644362364, 319.73326030373573]}, "4": {"fourier": [37.19478010334262, 39.83768876400346, 40.10809097928166, 42.63575685073429, 252.92001056671143]}, "5": {"fourier": [93.30546821583907, 97.27635094634554, 101.90114165289266, 102.13612538217444, 460.4352151453495]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [8.683027793441944, 8.917450384012582, 9.274266110307371, 10.779126506692716, 17.062445961870253]}, "1": {"fourier": [0.6944768483589433, 0.706873237319147, 0.7147074080464281, 0.734280033255411, 72.07774722576141]}, "2": {"fourier": [4.57419343195449, 4.829616163078599, 5.047990265588601, 6.11524375430292, 31.5268112719059]}, "3": {"fourier": [6.039057313677991, 6.109509673817342, 6.410200149205171, 7.395726029674738, 33.75779876112938]}, "4": {"fourier": [3.6507916211514466, 4.149298390351175, 4.27185770810606, 5.184719188926271, 38.98345169425011]}, "5": {"fourier": [4.30937345546058, 4.629952953082465, 4.7332755870316205, 5.843186541622678, 63.218284010887146]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [4.398971868187569, 4.487605493228046, 4.807943680887518, 5.835716351780035, 65.97157692909241]}, "1": {"fourier": [9.665649019126613, 10.236950886339354, 10.730257085367143, 12.896080759704468, 48.87443958222866]}, "2": {"fourier": [7.3652781794184365, 7.733425443445963, 8.048248011830168, 9.42769086724845, 65.79530227184296]}, "3": {"fourier": [7.783457276435132, 7.906650262253319, 8.38121300369182, 10.235751689159287, 83.75015032291412]}, "4": {"fourier": [6.060554048756779, 6.191687499032739, 6.649462424448016, 8.267370710294555, 11.355553213506937]}, "5": {"fourier": [2.8614394055891386, 2.8942265487167855, 3.3239166541277374, 4.45877962572675, 31.00369878858328]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [10.195485965030212, 10.369765619781463, 11.238060169749748, 14.000709288310677, 82.2522160410881]}, "1": {"fourier": [9.02443661250444, 9.245038637726875, 10.126717430508865, 13.183104457677038, 67.94285780191422]}, "2": {"fourier": [6.240950459731589, 6.347320514521052, 6.88542051294498, 8.60778859978327, 11.000856988132]}, "3": {"fourier": [1.6880480722135696, 1.7320936490284002, 1.7402709693060117, 1.8352965147765858, 7.816281124949455]}, "4": {"fourier": [11.781612581061436, 12.12422366165684, 13.051422281991393, 13.173417367041111, 15.862381612295115]}, "5": {"fourier": [9.672044936885626, 9.786855232146554, 10.674763137834711, 13.603783903741197, 92.81792449951172]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [15.696685295271138, 16.325269585384046, 17.648404422716702, 24.10950350713531, 215.87289941310883]}, "1": {"fourier": [13.051952209840659, 13.276784730991842, 14.56128720272855, 19.100999899674246, 57.2882821559906]}, "2": {"fourier": [1.6887543542181225, 1.715298295565896, 1.8800990027751003, 2.485590006300354, 26.058232083916664]}, "3": {"fourier": [9.19951902647719, 9.235428121421739, 10.291412039827918, 12.665920320540854, 34.97622725367546]}, "4": {"fourier": [9.150241788627891, 9.384098809541978, 10.22928920989697, 13.800774968716333, 57.30059748888016]}, "5": {"fourier": [9.282936566794069, 9.398164317326888, 10.2908795173392, 12.80235502544105, 19.47738920710981]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [22.50865526291703, 23.691225111368546, 25.864496817332867, 33.381640311521515, 254.4026581645012]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.069769, -0.2102, -0.679701, 0.340507, -1.053062], [0.707821, 1.093309, 0.023931, -0.017824, 0.198066], [0.190821, 0.767825, 0.014692, 0.217046, -0.694164], [-0.773879, -0.476264, -0.178339, -0.152687, -0.208964], [-0.930998, -0.480407, 0.096682, 0.355868, 0.699151], [0.838748, 0.808348, 0.526074, 0.039056, -0.048697]], "network.0.bias": [-0.613419, 0.024291, -0.356926, 0.321115, 0.502851, 0.287406], "network.2.weight": [[-0.050569, -0.031369, 0.001538, -0.319642, -0.217774, -0.260845], [0.15805, -0.361715, 0.422112, 0.805866, -0.633092, 0.1271], [0.201575, -0.301231, 0.265551, 0.695296, -0.624945, 0.135392], [-0.21599, -0.41162, -0.045301, -0.809635, 0.576033, -0.722025], [0.064513, -0.5454, 0.327661, -0.431696, 0.09107, -0.373834], [-0.179082, -0.786795, -0.533735, -1.156863, 0.549035, -0.81373]], "network.2.bias": [0.134534, -0.616655, -0.657813, -0.021948, -0.179829, 0.575959], "network.4.weight": [[-0.375587, 0.143528, 0.153906, 0.558093, -1.060168, 0.658888], [-0.208945, 0.061708, 0.256379, -0.188682, 0.083792, 0.079701], [0.396283, -0.062496, -0.359853, -0.170943, 0.554145, -0.456101], [0.279582, -0.425172, -0.579875, -0.497275, 0.404705, -0.363058], [1.024035, -0.379584, -0.666529, -0.588764, 0.100755, 0.094243], [-0.643668, -0.147135, -0.366871, -0.03676, -0.302451, 0.583478]], "network.4.bias": [0.014225, -0.776707, 0.434858, 0.384356, -0.420182, 0.496415], "network.6.weight": [[0.302886, 0.734159, -0.484874, -0.249372, 0.495723, 0.167427], [0.721924, -0.338641, -0.364851, -0.4743, -0.354626, 0.637338], [0.648406, -0.272903, -0.090693, -0.174476, -0.052031, 0.404523], [-0.760965, -0.170027, 0.580981, 0.983554, 0.057543, 0.148504], [-0.391451, 0.300562, 0.478852, 0.672089, -0.155924, -0.275088], [-0.043155, 0.503765, -1.063657, -0.352074, 0.123445, 0.235026]], "network.6.bias": [-0.486542, 0.212963, 0.431583, 0.513795, 0.049055, 0.009643], "network.8.weight": [[-0.350789, -0.510258, -0.223254, 0.484619, 0.549158, -0.240139], [0.040851, -0.557707, 0.085284, 0.844878, 0.716838, -0.127256], [-0.087985, -0.311727, -0.173537, 0.295222, 0.384667, -0.04949], [0.019837, 0.326896, -0.105991, 0.151576, 0.253774, -0.061456], [-0.160136, 0.705361, 0.449943, -0.323367, -0.3241, 0.001506], [-0.404559, -0.229623, -0.325235, 0.918118, 0.32484, -0.226165]], "network.8.bias": [0.709052, 0.14294, -0.201688, -0.147615, -0.120611, 0.425883], "network.10.weight": [[0.52567, 0.586286, 0.010278, -0.256162, -0.530896, 0.900411], [-0.604019, -0.207088, -0.1025, 0.396697, 0.579219, -0.467991], [-0.445988, -0.201304, 0.267842, 0.135503, 0.047294, 0.344581], [-0.54777, 0.088711, -0.100754, -0.063915, 0.613738, -0.048041], [-0.670833, -0.411849, 0.046692, 0.167275, 0.340676, -0.063707], [-0.428759, -0.430085, 0.043016, 0.207977, 0.626719, 0.322916]], "network.10.bias": [0.789182, 0.348385, -0.117066, -0.038941, 0.208534, 0.012751], "network.12.weight": [[-0.971153, 0.293201, 0.160731, 0.300403, 0.34689, 0.595797]], "network.12.bias": [-0.41261]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6879962980747223, "train_acc": 0.56, "val_loss": 0.6825014352798462, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.674302726984024, "train_acc": 0.58, "val_loss": 0.6340693235397339, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6130752861499786, "train_acc": 0.74, "val_loss": 0.5638760328292847, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5202906727790833, "train_acc": 0.8, "val_loss": 0.4751574993133545, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40264342725276947, "train_acc": 0.845, "val_loss": 0.49177345633506775, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.32594428956508636, "train_acc": 0.86, "val_loss": 0.4071127772331238, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24690842628479004, "train_acc": 0.915, "val_loss": 0.42562630772590637, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22810067981481552, "train_acc": 0.94, "val_loss": 0.445921391248703, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19281935691833496, "train_acc": 0.945, "val_loss": 0.3705105483531952, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16919267177581787, "train_acc": 0.95, "val_loss": 0.34156495332717896, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16283029317855835, "train_acc": 0.955, "val_loss": 0.33860886096954346, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.15530889481306076, "train_acc": 0.945, "val_loss": 0.32283562421798706, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6825014352798462, "final_val_loss": 0.6340693235397339, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5638760328292847, "final_val_loss": 0.32283562421798706, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
14
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3870, "learning_rate": 0.09151949117007849, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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[
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}
## Activation Signature
### 0
fourier: [[48.475323, 49.607859, 50.119997, 54.641728, 222.502804], [58.335246, 62.434646, 74.904189, 77.804834, 502.601413], [66.486094, 69.441955, 78.079343, 80.776696, 310.450036], [40.080106, 44.282191, 47.174968, 50.773660, 270.492764], [47.312954, 48.026371, 52.125311, 52.570781, 148.857604], [49.605730, 50.355508, 51.462942, 51.847444, 114.720238], [19.383993, 19.525767, 21.796633, 22.332493, 131.283407], [27.269711, 27.897257, 27.923263, 30.899010, 238.427897]]
### 2
fourier: [[32.154935, 34.350297, 36.122380, 36.610503, 198.046285], [49.131123, 51.917115, 52.978771, 58.497999, 310.545968], [32.346740, 36.942152, 38.116696, 40.641081, 215.133511], [81.951899, 81.974299, 88.123427, 96.647016, 475.896873], [87.568967, 93.558974, 101.016606, 108.957903, 559.540120], [76.861034, 80.508545, 90.770796, 95.546725, 514.221790], [64.951506, 66.531383, 76.471323, 77.503567, 503.127579], [70.910903, 75.874468, 84.409695, 89.673042, 483.150717]]
### 4
fourier: [[119.000162, 119.379072, 134.730646, 140.618951, 729.493611], [150.254818, 155.182569, 175.009792, 180.002917, 932.095632], [179.517798, 181.480311, 204.654091, 212.551669, 1058.998401], [78.268117, 80.111667, 85.610837, 92.613955, 370.089302], [211.386244, 217.257227, 245.436762, 252.949567, 1347.691271], [46.104236, 49.462457, 55.393627, 56.193114, 376.498757], [63.596775, 63.771200, 71.688480, 74.989181, 366.648022], [101.151691, 103.562386, 116.431133, 121.454410, 619.093281]]
### 6
fourier: [[135.983839, 140.975483, 158.538428, 162.441926, 847.734234], [25.519489, 27.378259, 29.200781, 31.744397, 97.239339], [243.530617, 247.287867, 280.067036, 288.931558, 1483.809999], [43.378249, 45.655109, 47.528767, 50.554461, 341.846697], [366.679158, 372.320202, 422.221387, 435.754583, 2224.081145], [344.561683, 349.047246, 396.304078, 409.283108, 2053.115957], [250.583111, 254.319347, 287.859098, 297.616648, 1543.056478], [323.013422, 330.301038, 374.434184, 384.502321, 2008.667107]]
### 8
fourier: [[416.536003, 422.852258, 481.053212, 494.800247, 2480.667612], [242.042904, 245.583382, 279.844978, 287.435919, 1459.305982], [261.289539, 267.878089, 303.272750, 310.290240, 1658.171012], [281.526560, 284.752419, 324.783180, 334.324374, 1689.906786], [147.509714, 148.820930, 169.432328, 175.101175, 869.940036], [518.314168, 525.447617, 598.637258, 615.462346, 3070.963836], [14.984702, 15.086623, 15.209282, 15.850567, 157.084412], [139.263300, 140.180647, 159.727189, 165.277924, 813.405649]]
### 10
fourier: [[269.852647, 274.318707, 312.195243, 320.326835, 1639.645151], [71.344856, 76.555937, 80.560179, 81.214483, 605.861617], [72.008908, 72.395474, 82.851506, 85.737788, 416.989040], [224.523359, 225.596613, 258.377815, 266.544095, 1235.302155], [260.071959, 262.373549, 300.099897, 309.470547, 1442.422267], [508.634832, 516.038679, 587.801074, 603.173674, 3036.068120], [230.705669, 230.822773, 264.892638, 272.936906, 1328.914166], [65.193029, 66.209491, 75.517806, 77.254137, 372.610876]]
### 12
fourier: [[59.544223, 61.397733, 64.557116, 67.412160, 228.782161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[48.475323, 49.607859, 50.119997, 54.641728, 222.502804], [58.335246, 62.434646, 74.904189, 77.804834, 502.601413], [66.486094, 69.441955, 78.079343, 80.776696, 310.450036], [40.080106, 44.282191, 47.174968, 50.773660, 270.492764], [47.312954, 48.026371, 52.125311, 52.570781, 148.857604], [49.605730, 50.355508, 51.462942, 51.847444, 114.720238], [19.383993, 19.525767, 21.796633, 22.332493, 131.283407], [27.269711, 27.897257, 27.923263, 30.899010, 238.427897]]
### 2
fourier: [[32.154935, 34.350297, 36.122380, 36.610503, 198.046285], [49.131123, 51.917115, 52.978771, 58.497999, 310.545968], [32.346740, 36.942152, 38.116696, 40.641081, 215.133511], [81.951899, 81.974299, 88.123427, 96.647016, 475.896873], [87.568967, 93.558974, 101.016606, 108.957903, 559.540120], [76.861034, 80.508545, 90.770796, 95.546725, 514.221790], [64.951506, 66.531383, 76.471323, 77.503567, 503.127579], [70.910903, 75.874468, 84.409695, 89.673042, 483.150717]]
### 4
fourier: [[119.000162, 119.379072, 134.730646, 140.618951, 729.493611], [150.254818, 155.182569, 175.009792, 180.002917, 932.095632], [179.517798, 181.480311, 204.654091, 212.551669, 1058.998401], [78.268117, 80.111667, 85.610837, 92.613955, 370.089302], [211.386244, 217.257227, 245.436762, 252.949567, 1347.691271], [46.104236, 49.462457, 55.393627, 56.193114, 376.498757], [63.596775, 63.771200, 71.688480, 74.989181, 366.648022], [101.151691, 103.562386, 116.431133, 121.454410, 619.093281]]
### 6
fourier: [[135.983839, 140.975483, 158.538428, 162.441926, 847.734234], [25.519489, 27.378259, 29.200781, 31.744397, 97.239339], [243.530617, 247.287867, 280.067036, 288.931558, 1483.809999], [43.378249, 45.655109, 47.528767, 50.554461, 341.846697], [366.679158, 372.320202, 422.221387, 435.754583, 2224.081145], [344.561683, 349.047246, 396.304078, 409.283108, 2053.115957], [250.583111, 254.319347, 287.859098, 297.616648, 1543.056478], [323.013422, 330.301038, 374.434184, 384.502321, 2008.667107]]
### 8
fourier: [[416.536003, 422.852258, 481.053212, 494.800247, 2480.667612], [242.042904, 245.583382, 279.844978, 287.435919, 1459.305982], [261.289539, 267.878089, 303.272750, 310.290240, 1658.171012], [281.526560, 284.752419, 324.783180, 334.324374, 1689.906786], [147.509714, 148.820930, 169.432328, 175.101175, 869.940036], [518.314168, 525.447617, 598.637258, 615.462346, 3070.963836], [14.984702, 15.086623, 15.209282, 15.850567, 157.084412], [139.263300, 140.180647, 159.727189, 165.277924, 813.405649]]
### 10
fourier: [[269.852647, 274.318707, 312.195243, 320.326835, 1639.645151], [71.344856, 76.555937, 80.560179, 81.214483, 605.861617], [72.008908, 72.395474, 82.851506, 85.737788, 416.989040], [224.523359, 225.596613, 258.377815, 266.544095, 1235.302155], [260.071959, 262.373549, 300.099897, 309.470547, 1442.422267], [508.634832, 516.038679, 587.801074, 603.173674, 3036.068120], [230.705669, 230.822773, 264.892638, 272.936906, 1328.914166], [65.193029, 66.209491, 75.517806, 77.254137, 372.610876]]
### 12
fourier: [[59.544223, 61.397733, 64.557116, 67.412160, 228.782161]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [48.47532291585132, 49.60785852306562, 50.11999672063767, 54.64172822054795, 222.50280383694917]}, "1": {"fourier": [58.33524631319853, 62.43464625738611, 74.90418920312176, 77.80483382069008, 502.60141292214394]}, "2": {"fourier": [66.48609383226102, 69.44195519385096, 78.07934317474769, 80.77669648729182, 310.4500358104706]}, "3": {"fourier": [40.08010564212878, 44.28219116328173, 47.17496794727176, 50.773659653741724, 270.49276381731033]}, "4": {"fourier": [47.31295420749045, 48.02637057598426, 52.125311300626706, 52.570780505403576, 148.8576036989689]}, "5": {"fourier": [49.60573020383049, 50.355507517480774, 51.46294213908077, 51.847443769086105, 114.72023844718933]}, "6": {"fourier": [19.38399292591384, 19.52576656487445, 21.796632641098416, 22.33249323512154, 131.28340701758862]}, "7": {"fourier": [27.269710759918063, 27.897256580793726, 27.923263242299388, 30.89900976853167, 238.427896797657]}}, "layer_info": 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.535855, 1.154369, 0.099715, 0.018717, -0.439547], [0.776962, 1.346407, 0.432913, 0.286668, 0.166954], [1.375283, 1.401022, -0.32015, 0.127446, -0.572082], [-0.936276, -0.511611, -0.135676, -0.394187, 0.399888], [-1.032989, -0.891025, 0.176135, 0.244842, 0.585114], [-0.842995, -0.901718, -0.128956, 0.19261, 0.792113], [0.091867, -0.051414, -0.034814, -0.383582, -0.448845], [0.060301, 0.110736, -0.318998, -0.636346, -0.445657]], "network.0.bias": [-0.00443, 0.439162, 0.286033, -0.272532, -0.359446, 0.296917, -0.030471, -0.345423], "network.2.weight": [[-0.41934, 0.199728, -0.390934, -0.081094, -0.905065, -0.398825, -0.406893, 0.314501], [-0.228014, 0.66225, 0.180368, 0.205535, -0.28234, -0.61186, -0.215727, 0.080683], [-0.323385, 0.222744, -0.4868, -0.739682, -0.774327, -0.769061, -0.55836, 0.158015], [0.173124, 0.374129, 0.745476, 0.167275, -0.135472, -0.109461, -0.619812, -0.332455], [0.33335, 0.774471, 0.371225, -0.271093, -0.552339, -0.299039, 0.1611, -0.378389], [-0.06579, 0.869066, 0.379274, 0.634662, -0.458639, -0.31254, -0.030977, 0.171576], [-0.3078, -0.378658, -0.484589, 0.055361, -0.570975, -0.567927, 0.006266, 0.329981], [-0.001938, 0.93861, 0.163948, 0.286087, -0.276064, -0.608149, 0.089328, 0.047973]], "network.2.bias": [-0.504426, 0.007887, -0.645439, 0.144519, -0.006717, -0.038107, -0.601502, -0.098374], "network.4.weight": [[0.191748, 0.250572, 4.7e-05, 0.544178, 0.302722, 0.30502, 0.590529, 0.146417], [-0.001009, 0.498472, -0.568529, 0.292688, 0.529024, 0.337739, -0.082981, 0.422328], [-0.674098, 0.174025, -0.565486, -0.495765, -0.522987, -0.78544, -0.803946, -0.499225], [-0.465853, 0.303348, -0.692286, -0.733677, -0.080331, -0.448742, -0.992777, 0.162362], [-0.194852, 0.597431, -0.339407, 0.462663, 0.559442, 0.764025, -0.154497, 0.511176], [0.253835, -0.119442, 0.094327, 0.299973, -0.156003, -0.340794, 0.488984, -0.344419], [-0.359427, 0.352292, -0.412068, -0.210578, -0.205156, -0.358688, -1.115462, -0.198661], [-0.197429, 0.010783, -0.173093, 0.40783, 0.227061, 0.240684, 0.112654, 0.399282]], "network.4.bias": [-0.00489, -0.453622, 0.54071, 0.753972, -0.175271, -0.528122, 0.112267, -0.262845], "network.6.weight": [[-0.041176, 0.315111, 0.588945, 0.200912, 0.369225, 0.222402, 0.663826, 0.167286], [-0.390015, 0.378123, -0.127683, 0.387348, 0.022016, -0.464734, 0.209951, -0.401746], [0.602538, 0.282386, -0.173286, -0.175868, 0.484303, 0.482384, -0.13313, 0.24541], [-1.108451, 0.681433, -0.424219, -0.699481, 0.335946, 0.563672, -0.012413, -0.864968], [-0.677369, -0.358868, 0.281493, 0.935062, -0.810798, -0.072083, -0.36634, -0.55964], [-0.538062, -0.313165, 0.935981, 0.823827, -0.723528, -0.409882, 0.187027, -0.740955], [-0.622143, -0.093102, 0.282846, 0.267747, -0.521674, -0.424275, -0.323179, -0.494252], [-0.028451, 0.722594, 0.044059, -0.590111, 0.800193, 0.422245, -0.12374, 0.45066]], "network.6.bias": [-0.212834, 0.553033, -0.209633, -0.89427, 0.38621, 0.592261, 0.003741, 0.039381], "network.8.weight": [[-0.313559, 0.651362, -0.767673, -0.925614, 0.602871, 0.159126, 0.465579, -0.565472], [0.218005, -0.43387, 0.223457, 0.48018, 0.011661, -0.402173, -0.212837, 0.47832], [-0.732184, 0.319278, -0.311474, -0.101386, -0.343985, -0.018706, -0.201756, -0.266107], [0.40326, -0.525389, 0.433784, 0.495752, -0.444897, -0.493165, -0.186227, 0.357145], [-0.068917, -0.204322, 0.530392, 0.22029, -0.380976, -0.089752, -0.430814, 0.080015], [-0.47567, 0.676661, -0.534624, -0.697941, 0.399, 0.93627, 0.100346, -0.975955], [0.258122, -0.469143, -0.374865, 0.291387, 0.009214, -0.361617, 0.235284, 0.120345], [0.016011, -0.000828, -0.516679, -0.648436, 0.203245, 0.367885, 0.370489, -0.040348]], "network.8.bias": [0.533294, -0.096143, -0.428859, 0.029987, -0.154209, 0.707058, -0.567536, 0.127148], "network.10.weight": [[-0.327898, 0.17541, -0.044175, 0.744626, 0.140855, -0.015709, -0.419229, 0.064307], [-0.0667, -0.445618, 0.147402, 0.038914, 0.101676, -0.702252, 1.029802, -1.132328], [-0.140185, 0.039865, -0.445524, 0.081155, 0.257314, -0.142104, -0.138282, -0.250455], [0.430871, -0.340569, 0.194941, -0.324444, -0.302656, 0.51892, -0.375417, 0.227413], [0.610444, -0.285479, 0.843174, -0.350525, -0.577473, 0.792178, -0.588522, -0.330086], [0.533137, -0.659544, 0.583512, -1.020249, -0.437514, 0.195661, -0.8726, -0.191979], [-0.439763, 0.2823, -0.116645, 0.415382, 0.275262, -0.368733, 0.166689, -0.192602], [-0.138843, -0.149133, -0.174854, 0.452969, -0.172174, -0.024562, 0.024746, 0.224794]], "network.10.bias": [-0.100061, -0.657878, 0.027288, 0.567715, 0.439244, 0.391289, -0.113304, -0.312886], "network.12.weight": [[-0.139557, -0.187753, 0.449521, 0.437949, 0.359144, 0.246525, -0.204386, 0.105054]], "network.12.bias": [0.093708]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6753421425819397, "train_acc": 0.59, "val_loss": 0.7774646282196045, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7188772261142731, "train_acc": 0.59, "val_loss": 0.7262320518493652, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.0329775214195251, "train_acc": 0.515, "val_loss": 0.5576785802841187, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.505713626742363, "train_acc": 0.66, "val_loss": 0.45795831084251404, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3835970163345337, "train_acc": 0.895, "val_loss": 0.33037590980529785, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.37493619322776794, "train_acc": 0.83, "val_loss": 0.2063324749469757, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.356944777071476, "train_acc": 0.895, "val_loss": 0.823655366897583, "val_acc": 0.58}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.48557335138320923, "train_acc": 0.705, "val_loss": 0.18861094117164612, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.20187000185251236, "train_acc": 0.93, "val_loss": 0.312303364276886, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.25974544137716293, "train_acc": 0.91, "val_loss": 0.31077492237091064, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.25103361904621124, "train_acc": 0.91, "val_loss": 0.29151636362075806, "val_acc": 0.88}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7774646282196045, "final_val_loss": 0.7262320518493652, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5576785802841187, "final_val_loss": 0.29151636362075806, "initial_val_acc": 0.44, "final_val_acc": 0.88, "best_val_acc": 0.92, "best_epoch": 7}, "improvement": 0.48000000000000004, "first_improvement_epoch": 1}}
|
15
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.047130264798538976, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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"network.10.weight": [
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[
-0.416735,
-0.20739,
0.122596,
0.241329,
-0.012464
],
[
0.601841,
-0.476526,
-0.479731,
0.348388,
0.929007
]
],
"network.10.bias": [
0.672581,
-0.151121,
0.272382,
0.013892,
-0.209519
],
"network.12.weight": [
[
0.575177,
-0.479433,
0.42916,
-0.159261,
-0.534648
]
],
"network.12.bias": [
0.021716
]
}
## Activation Signature
### 0
fourier: [[22.701693, 22.968160, 23.078712, 24.321324, 31.089055], [19.129192, 19.996820, 21.195289, 22.083708, 171.286629], [28.262476, 29.117235, 32.527845, 34.463618, 227.789901], [32.516908, 34.834763, 35.059822, 38.236485, 342.815508], [25.849343, 25.871532, 26.988243, 30.600675, 36.443536]]
### 2
fourier: [[18.641325, 18.766607, 19.542868, 20.950041, 62.053038], [16.221221, 16.392955, 19.966845, 20.936870, 26.273159], [7.961466, 9.616195, 11.401550, 13.297630, 25.949537], [25.200476, 27.377796, 28.076060, 33.013751, 132.742510], [20.737702, 22.923561, 23.189732, 26.855976, 116.188281]]
### 4
fourier: [[31.435517, 33.050275, 33.248377, 38.842505, 161.104158], [40.336380, 40.986761, 45.385941, 56.300931, 243.261266], [19.468469, 20.858477, 23.862785, 29.378663, 111.130318], [19.173131, 19.582838, 21.225672, 26.282696, 87.911668], [15.085644, 16.539632, 20.033230, 23.768939, 62.035538]]
### 6
fourier: [[56.274919, 58.164926, 61.123514, 72.834343, 390.893167], [56.398074, 58.135380, 61.608759, 72.706504, 407.468154], [56.025673, 58.575977, 61.342048, 70.790187, 334.386854], [55.016758, 56.550856, 56.593726, 72.593784, 351.215708], [42.202183, 42.330706, 43.105281, 53.717571, 251.499828]]
### 8
fourier: [[111.968974, 112.582159, 123.089431, 136.154237, 758.971745], [31.471627, 31.807127, 33.413218, 41.208592, 205.441012], [40.293190, 41.122095, 44.989061, 47.985521, 274.134888], [131.233583, 132.802886, 145.104729, 159.341777, 895.662652], [159.948761, 161.883835, 176.920023, 193.796781, 1100.650650]]
### 10
fourier: [[127.589853, 130.479894, 142.708158, 149.582395, 836.546271], [248.537942, 255.346578, 279.366723, 289.507102, 1737.393378], [74.387394, 75.444297, 82.508547, 87.898416, 492.173046], [16.429127, 17.139721, 18.527938, 18.831746, 115.608340], [258.911622, 263.845240, 288.737561, 304.118078, 1796.597852]]
### 12
fourier: [[258.411761, 262.949948, 288.418417, 302.852183, 1789.126074]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
[
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],
[
0.128473,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
0.666809,
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],
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0.544623,
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0.067013
],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
0.037318,
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],
[
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0.550977
],
[
0.108406,
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0.056434,
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],
[
0.398804,
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]
],
"network.4.bias": [
-0.425145,
0.621367,
0.406153,
0.037163,
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],
"network.6.weight": [
[
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],
[
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],
[
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[
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],
[
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],
"network.6.bias": [
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"network.8.weight": [
[
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]
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"network.8.bias": [
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],
"network.10.weight": [
[
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],
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]
],
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[22.701693, 22.968160, 23.078712, 24.321324, 31.089055], [19.129192, 19.996820, 21.195289, 22.083708, 171.286629], [28.262476, 29.117235, 32.527845, 34.463618, 227.789901], [32.516908, 34.834763, 35.059822, 38.236485, 342.815508], [25.849343, 25.871532, 26.988243, 30.600675, 36.443536]]
### 2
fourier: [[18.641325, 18.766607, 19.542868, 20.950041, 62.053038], [16.221221, 16.392955, 19.966845, 20.936870, 26.273159], [7.961466, 9.616195, 11.401550, 13.297630, 25.949537], [25.200476, 27.377796, 28.076060, 33.013751, 132.742510], [20.737702, 22.923561, 23.189732, 26.855976, 116.188281]]
### 4
fourier: [[31.435517, 33.050275, 33.248377, 38.842505, 161.104158], [40.336380, 40.986761, 45.385941, 56.300931, 243.261266], [19.468469, 20.858477, 23.862785, 29.378663, 111.130318], [19.173131, 19.582838, 21.225672, 26.282696, 87.911668], [15.085644, 16.539632, 20.033230, 23.768939, 62.035538]]
### 6
fourier: [[56.274919, 58.164926, 61.123514, 72.834343, 390.893167], [56.398074, 58.135380, 61.608759, 72.706504, 407.468154], [56.025673, 58.575977, 61.342048, 70.790187, 334.386854], [55.016758, 56.550856, 56.593726, 72.593784, 351.215708], [42.202183, 42.330706, 43.105281, 53.717571, 251.499828]]
### 8
fourier: [[111.968974, 112.582159, 123.089431, 136.154237, 758.971745], [31.471627, 31.807127, 33.413218, 41.208592, 205.441012], [40.293190, 41.122095, 44.989061, 47.985521, 274.134888], [131.233583, 132.802886, 145.104729, 159.341777, 895.662652], [159.948761, 161.883835, 176.920023, 193.796781, 1100.650650]]
### 10
fourier: [[127.589853, 130.479894, 142.708158, 149.582395, 836.546271], [248.537942, 255.346578, 279.366723, 289.507102, 1737.393378], [74.387394, 75.444297, 82.508547, 87.898416, 492.173046], [16.429127, 17.139721, 18.527938, 18.831746, 115.608340], [258.911622, 263.845240, 288.737561, 304.118078, 1796.597852]]
### 12
fourier: [[258.411761, 262.949948, 288.418417, 302.852183, 1789.126074]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.515835, -0.240123, -0.144431, 0.278477, 0.348675], [0.187535, -0.489564, -0.296339, -0.112769, -0.165468], [0.155738, 0.542641, 0.531272, 0.119534, -0.327771], [0.128473, -0.310565, -0.388303, -0.677404, -0.375696], [-0.649587, -0.038053, -0.282402, 0.1152, 0.558219]], "network.0.bias": [0.098774, -0.179543, 0.386529, -0.675887, 0.510446], "network.2.weight": [[0.251761, 0.107218, -0.462496, -0.585799, 0.253137], [0.666809, 0.612699, -0.02358, -0.072589, 0.631177], [0.544623, 0.839499, -0.122322, -0.205226, 0.067013], [-0.584514, -0.134451, 0.570038, -0.387341, -0.409189], [-0.144347, -0.689146, 0.52489, -0.73199, -0.513206]], "network.2.bias": [0.231302, -0.24787, -0.157037, 0.448551, 0.237979], "network.4.weight": [[-0.052716, -0.051122, -0.480844, 0.710669, 0.832341], [0.037318, -0.711418, -0.715597, 0.828709, 0.758375], [-0.1717, -0.561895, 0.022105, 0.188135, 0.550977], [0.108406, 0.349816, 0.056434, -0.135258, -0.693053], [0.398804, 0.391266, 0.362767, -0.151012, -0.268425]], "network.4.bias": [-0.425145, 0.621367, 0.406153, 0.037163, -0.258105], "network.6.weight": [[0.51954, 0.872136, 0.581349, -0.366654, -0.432246], [0.466046, 0.934673, 0.571276, -0.406856, -0.325661], [-0.835077, -0.659228, -0.468015, 0.381366, 0.346697], [0.262818, 0.968417, 0.599537, -0.480215, -0.656205], [0.499574, 0.487185, 0.442323, -0.317949, -0.513681]], "network.6.bias": [0.115377, 0.22627, 0.345777, -0.117613, -0.088187], "network.8.weight": [[0.576552, 0.310051, -0.703682, 0.469568, 0.917363], [0.013723, -0.076826, 0.578269, -0.38943, -0.166954], [0.06656, -0.501122, 0.049542, -0.030136, -0.355564], [0.85783, 0.528336, -0.568982, 0.773588, 0.31007], [0.558869, 0.85382, -0.72006, 0.84464, 0.893374]], "network.8.bias": [-0.033485, 0.000759, 0.111391, -0.258994, -0.115844], "network.10.weight": [[0.109891, 0.181832, 0.051578, -0.385173, -0.566939], [0.434772, 0.207697, -0.242601, 0.573521, 0.800903], [-0.388021, 0.321303, 0.109314, -0.294852, 0.044035], [-0.416735, -0.20739, 0.122596, 0.241329, -0.012464], [0.601841, -0.476526, -0.479731, 0.348388, 0.929007]], "network.10.bias": [0.672581, -0.151121, 0.272382, 0.013892, -0.209519], "network.12.weight": [[0.575177, -0.479433, 0.42916, -0.159261, -0.534648]], "network.12.bias": [0.021716]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6804842054843903, "train_acc": 0.58, "val_loss": 0.712371289730072, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817314922809601, "train_acc": 0.58, "val_loss": 0.7204467058181763, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6691373288631439, "train_acc": 0.58, "val_loss": 0.6943528652191162, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6329474449157715, "train_acc": 0.58, "val_loss": 0.6339061856269836, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5586689114570618, "train_acc": 0.51, "val_loss": 0.4969438910484314, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.470030277967453, "train_acc": 0.805, "val_loss": 0.3825303614139557, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.42472565174102783, "train_acc": 0.815, "val_loss": 0.32869812846183777, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4055260121822357, "train_acc": 0.81, "val_loss": 0.3440203368663788, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4126052111387253, "train_acc": 0.81, "val_loss": 0.3454795181751251, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.38449233770370483, "train_acc": 0.815, "val_loss": 0.340055912733078, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.712371289730072, "final_val_loss": 0.6339061856269836, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4969438910484314, "final_val_loss": 0.340055912733078, "initial_val_acc": 0.86, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.42, "first_improvement_epoch": 3}}
|
16
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.78, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.028993303041424494, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
fourier: [[28.618502, 29.894979, 32.884645, 34.105445, 148.780392], [26.733339, 28.259694, 29.617905, 31.760557, 137.670595], [15.945665, 17.096131, 17.220338, 19.818029, 22.113608], [29.007186, 29.616762, 29.672664, 32.724048, 127.361453], [33.775393, 35.048793, 39.274734, 42.401825, 108.017476], [23.291059, 26.861935, 27.741407, 30.428851, 70.944165], [15.604440, 15.663984, 15.694756, 15.764602, 17.093549]]
### 2
fourier: [[17.582851, 18.732365, 21.059741, 23.856500, 101.598391], [30.332896, 30.686994, 35.348779, 37.445733, 151.504195], [27.183235, 29.367331, 30.317027, 32.089540, 208.362144], [44.072499, 45.657740, 52.273114, 52.921822, 205.920982], [15.193264, 15.583248, 15.741698, 17.249552, 197.922396], [14.829772, 15.625674, 15.803941, 16.119523, 22.548505], [14.082717, 14.424669, 15.921100, 16.864890, 188.848653]]
### 4
fourier: [[36.015145, 38.189877, 39.201996, 42.610398, 180.491850], [35.974667, 37.848487, 42.704934, 44.853614, 195.370369], [4.818121, 4.877984, 5.096479, 6.121248, 35.971484], [22.608519, 24.223646, 24.784825, 25.203613, 84.828908], [43.599041, 44.798585, 51.896625, 52.207276, 219.757914], [22.943574, 24.146741, 25.187635, 25.561078, 88.749116], [20.886288, 21.041061, 24.595669, 24.891952, 101.221191]]
### 6
fourier: [[67.692805, 68.400889, 74.821902, 77.363764, 289.079911], [16.800986, 18.323642, 20.055968, 20.415447, 103.984742], [70.265200, 71.755224, 76.123758, 78.585483, 324.905152], [9.683398, 9.765468, 9.935084, 10.846712, 49.310395], [84.291067, 84.816163, 88.317450, 92.494919, 376.950818], [38.160554, 39.107371, 43.677579, 44.870389, 184.059284], [19.690827, 19.924338, 20.386973, 20.616950, 101.499730]]
### 8
fourier: [[82.758794, 83.904113, 89.459694, 92.125485, 333.235945]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
fourier: [[28.618502, 29.894979, 32.884645, 34.105445, 148.780392], [26.733339, 28.259694, 29.617905, 31.760557, 137.670595], [15.945665, 17.096131, 17.220338, 19.818029, 22.113608], [29.007186, 29.616762, 29.672664, 32.724048, 127.361453], [33.775393, 35.048793, 39.274734, 42.401825, 108.017476], [23.291059, 26.861935, 27.741407, 30.428851, 70.944165], [15.604440, 15.663984, 15.694756, 15.764602, 17.093549]]
### 2
fourier: [[17.582851, 18.732365, 21.059741, 23.856500, 101.598391], [30.332896, 30.686994, 35.348779, 37.445733, 151.504195], [27.183235, 29.367331, 30.317027, 32.089540, 208.362144], [44.072499, 45.657740, 52.273114, 52.921822, 205.920982], [15.193264, 15.583248, 15.741698, 17.249552, 197.922396], [14.829772, 15.625674, 15.803941, 16.119523, 22.548505], [14.082717, 14.424669, 15.921100, 16.864890, 188.848653]]
### 4
fourier: [[36.015145, 38.189877, 39.201996, 42.610398, 180.491850], [35.974667, 37.848487, 42.704934, 44.853614, 195.370369], [4.818121, 4.877984, 5.096479, 6.121248, 35.971484], [22.608519, 24.223646, 24.784825, 25.203613, 84.828908], [43.599041, 44.798585, 51.896625, 52.207276, 219.757914], [22.943574, 24.146741, 25.187635, 25.561078, 88.749116], [20.886288, 21.041061, 24.595669, 24.891952, 101.221191]]
### 6
fourier: [[67.692805, 68.400889, 74.821902, 77.363764, 289.079911], [16.800986, 18.323642, 20.055968, 20.415447, 103.984742], [70.265200, 71.755224, 76.123758, 78.585483, 324.905152], [9.683398, 9.765468, 9.935084, 10.846712, 49.310395], [84.291067, 84.816163, 88.317450, 92.494919, 376.950818], [38.160554, 39.107371, 43.677579, 44.870389, 184.059284], [19.690827, 19.924338, 20.386973, 20.616950, 101.499730]]
### 8
fourier: [[82.758794, 83.904113, 89.459694, 92.125485, 333.235945]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.618502366076303, 29.89497887341754, 32.88464463922922, 34.10544483394713, 148.78039164841175]}, "1": {"fourier": [26.733339083899377, 28.259694397839606, 29.617904856485136, 31.760557138975262, 137.67059487104416]}, "2": {"fourier": [15.94566489907228, 17.096130922632966, 17.22033800785879, 19.818029140932875, 22.11360757940443]}, "3": {"fourier": [29.007185705101183, 29.616762309088717, 29.672663694813696, 32.72404832502315, 127.36145317554474]}, "4": {"fourier": [33.775393283350304, 35.0487934764564, 39.274734264109235, 42.40182511479325, 108.01747599989176]}, "5": {"fourier": [23.29105865397679, 26.861935072865272, 27.741407044468875, 30.42885110441117, 70.94416491314769]}, "6": {"fourier": [15.604439658596954, 15.663984172966169, 15.694755661667099, 15.76460159948012, 17.093548860673977]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [17.58285063176859, 18.732364998305265, 21.05974114911701, 23.85650037350289, 101.59839123487473]}, "1": {"fourier": [30.33289621511953, 30.68699428984749, 35.34877867839795, 37.445732610690136, 151.50419479608536]}, "2": {"fourier": [27.183235122759342, 29.367330956501295, 30.31702685970803, 32.08953994473961, 208.36214438080788]}, "3": {"fourier": [44.072498528515666, 45.657740124157, 52.27311447556448, 52.92182219397215, 205.92098194360733]}, "4": {"fourier": [15.193264352305572, 15.583247977272205, 15.741697821991794, 17.249551548295784, 197.92239552736282]}, "5": {"fourier": [14.829772189147505, 15.6256737212162, 15.803941113869815, 16.11952277967232, 22.548505038022995]}, "6": {"fourier": [14.082716787317457, 14.424669164868574, 15.921099688481103, 16.864889681258433, 188.8486531972885]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [36.015144910428916, 38.18987670905241, 39.20199589138774, 42.610397630307745, 180.4918502420187]}, "1": {"fourier": [35.97466681013882, 37.84848747571963, 42.70493381890581, 44.85361409573449, 195.37036864832044]}, "2": {"fourier": [4.818120840769883, 4.877983590632622, 5.096478972908316, 6.121248147297605, 35.97148356586695]}, "3": {"fourier": [22.608519109675868, 24.223645527111742, 24.784825267625394, 25.20361266951618, 84.82890786230564]}, "4": {"fourier": [43.59904078276878, 44.7985847690689, 51.896624986431185, 52.20727556656273, 219.75791407376528]}, "5": {"fourier": [22.94357360976726, 24.146740706791118, 25.18763473881577, 25.561077837669856, 88.74911564588547]}, "6": {"fourier": [20.886288015179794, 21.04106070501616, 24.595668843187706, 24.89195163497232, 101.22119124233723]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [67.69280542106064, 68.40088896443781, 74.82190187789439, 77.36376351205695, 289.0799111276865]}, "1": {"fourier": [16.800986092927694, 18.323642483189854, 20.055968019535587, 20.415446626143392, 103.98474152386189]}, "2": {"fourier": [70.26520032154592, 71.75522418490493, 76.12375775715792, 78.58548255576898, 324.9051516726613]}, "3": {"fourier": [9.683397787232865, 9.765467624410183, 9.93508405972186, 10.846712107633493, 49.31039462611079]}, "4": {"fourier": [84.29106650281265, 84.81616330536596, 88.31745001989543, 92.49491895271632, 376.9508180692792]}, "5": {"fourier": [38.16055375826808, 39.10737121652337, 43.677578516591026, 44.870388651110524, 184.05928362486884]}, "6": {"fourier": [19.690827213306868, 19.92433753338117, 20.386973379311197, 20.616949714351016, 101.49972981214523]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [82.75879371667753, 83.90411304031636, 89.45969361512556, 92.12548536514994, 333.235944673419]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.783498, 0.192895, 0.097381, 0.021844, -0.222089], [0.13075, 0.420962, 0.329365, 0.210067, -0.727748], [0.155154, -0.132787, 0.248571, 0.212598, -0.59526], [-0.638869, -0.191624, 0.384111, 0.570736, 0.245047], [0.657123, 0.676194, -0.077625, 0.039339, -0.50862], [0.162517, 0.574449, 0.079371, -0.014333, -0.549125], [-0.330539, -0.205982, 0.232214, 0.2574, -0.189465]], "network.0.bias": [0.350247, 0.358949, -0.043299, 0.230844, -0.144646, 0.081447, 0.029611], "network.2.weight": [[0.482802, 0.12201, 0.471301, -0.192372, -0.076609, 0.139071, 0.266449], [0.40926, -0.017317, 0.465708, -0.226164, 0.429069, 0.28848, 0.372509], [0.213463, 0.435163, 0.452263, 0.191698, 0.021545, 0.473473, 0.056792], [0.472256, 0.284291, 0.385807, -0.380776, 0.569918, 0.367115, -0.246975], [-0.14874, -0.184038, -0.381433, -0.600268, 0.189399, -0.168471, 0.087633], [-0.047644, 0.004294, -0.229647, 0.398806, -0.288405, 0.171184, 0.130142], [-0.000352, -0.462363, 0.193814, -0.485215, -0.075378, 0.292603, -0.308996]], "network.2.bias": [0.170581, 0.258115, 0.265381, 0.46351, -0.670243, -0.03699, -0.716094], "network.4.weight": [[0.577739, 0.17379, -0.114793, 0.509061, -0.407335, -0.219112, 0.209141], [0.512068, 0.230436, 0.360603, 0.251572, -0.315701, -0.379421, -0.367567], [0.198072, 0.145768, 0.050797, -0.093792, -0.502194, 0.175532, -0.156468], [0.066984, 0.299152, -0.176546, 0.277456, -0.183254, -0.624369, -0.394866], [0.233902, 0.267845, 0.171514, 0.616342, -0.144274, -0.260999, -0.43865], [0.307843, 0.260913, -0.241953, 0.297554, -0.054964, -0.314016, -0.253971], [0.072306, 0.324035, 0.048589, 0.203733, -0.025166, 0.181648, -0.250635]], "network.4.bias": [0.237948, -0.058059, -0.068062, 0.337122, -0.010853, 0.174654, -0.167053], "network.6.weight": [[0.31127, 0.479808, -0.097728, 0.353865, 0.268368, 0.402351, 0.453581], [0.053119, -0.307455, 0.054276, -0.019473, -0.204846, 0.246976, -0.152744], [0.279935, 0.244257, -0.128957, 0.607572, 0.593894, 0.42306, 0.055409], [-0.40379, 0.064027, -0.022522, 0.103282, 0.077617, -0.065391, -0.038685], [0.464254, 0.175425, 0.444723, 0.662297, 0.509159, 0.803078, 0.05514], [-0.336759, -0.217133, 0.301283, -0.032945, -0.318993, -0.05612, -0.13716], [-0.012664, 0.265254, -0.422784, -0.220354, -0.169589, -0.339467, -0.305503]], "network.6.bias": [-0.268636, -0.187365, 0.073709, -0.070018, 0.045631, -0.007001, -0.264359], "network.8.weight": [[-0.368974, -0.067032, -0.422467, -0.044238, -0.325457, 0.107425, -0.072467]], "network.8.bias": [0.331183]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7199861109256744, "train_acc": 0.4, "val_loss": 0.6649367809295654, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6695752441883087, "train_acc": 0.56, "val_loss": 0.6705575585365295, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6242829859256744, "train_acc": 0.6, "val_loss": 0.6640723943710327, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5813046991825104, "train_acc": 0.6, "val_loss": 0.6424819231033325, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5525104105472565, "train_acc": 0.615, "val_loss": 0.6190099120140076, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5535059869289398, "train_acc": 0.685, "val_loss": 0.5890968441963196, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5134451985359192, "train_acc": 0.745, "val_loss": 0.5881161689758301, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5102143883705139, "train_acc": 0.77, "val_loss": 0.5501479506492615, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4840986132621765, "train_acc": 0.75, "val_loss": 0.5326270461082458, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.47308212518692017, "train_acc": 0.74, "val_loss": 0.5442999601364136, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.46166670322418213, "train_acc": 0.775, "val_loss": 0.5489879250526428, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.44411152601242065, "train_acc": 0.78, "val_loss": 0.548227846622467, "val_acc": 0.74}], "summary": {"total_epochs": 12, "degraded_epochs": 5, "improved_epochs": 7, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6649367809295654, "final_val_loss": 0.6190099120140076, "initial_val_acc": 0.7, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5890968441963196, "final_val_loss": 0.548227846622467, "initial_val_acc": 0.76, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 8}, "improvement": 0.18000000000000005, "first_improvement_epoch": 4}}
|
17
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1291, "learning_rate": 0.05445951689049968, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.584784,
0.070472,
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],
[
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0.324463,
0.233465,
0.418936
],
[
0.680086,
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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],
[
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],
[
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],
[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
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],
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[
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[
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],
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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[
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[
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[
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]
],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.792757, 22.441247, 22.728728, 23.096856, 25.752361], [20.267482, 21.691327, 22.879943, 25.225137, 63.360183], [31.849073, 37.643612, 38.369623, 45.005779, 165.936664], [21.122909, 22.063277, 23.205162, 26.742762, 114.331119], [14.935024, 15.307187, 17.182001, 18.578640, 20.112403]]
### 2
fourier: [[30.242272, 35.980988, 37.977693, 46.465041, 100.034837], [8.444983, 8.719778, 9.930555, 10.907660, 136.218214], [19.527897, 24.931393, 25.806673, 27.837801, 189.831450], [14.845771, 15.128513, 15.368794, 17.066911, 19.315091], [28.911141, 30.327235, 32.174227, 39.440133, 126.915851]]
### 4
fourier: [[16.004923, 16.384463, 17.612354, 21.210489, 36.931812], [16.578914, 16.602860, 16.839417, 22.080767, 64.190766], [43.409741, 43.577386, 44.462030, 57.541567, 201.962945], [37.560037, 37.728225, 39.229826, 49.593340, 172.737341], [5.265475, 6.558143, 7.494563, 8.225032, 28.374129]]
### 6
fourier: [[36.330415, 37.546167, 39.641564, 49.392270, 126.214306], [36.495662, 37.684934, 39.386072, 49.596268, 104.642311], [31.654462, 32.794652, 34.326109, 43.153358, 103.176085], [3.459561, 3.637921, 3.791322, 4.665936, 34.691560], [47.834340, 48.837047, 50.906150, 64.333243, 176.674564]]
### 8
fourier: [[54.187506, 55.110736, 57.836963, 72.166001, 202.951617], [9.929495, 10.121097, 10.516304, 13.204971, 69.199233], [8.678518, 9.031223, 9.292494, 11.824337, 27.346019], [36.728426, 37.281352, 39.018002, 48.802209, 137.416638], [86.108525, 88.157308, 92.254570, 114.830098, 325.209574]]
### 10
fourier: [[78.725738, 81.581385, 84.584151, 105.414119, 272.598908], [58.922090, 61.073587, 63.247387, 78.921717, 213.333875], [1.240784, 1.281676, 1.312432, 1.708445, 91.539734], [30.814998, 31.983486, 33.247468, 41.313944, 144.310736], [44.637285, 46.187521, 47.875997, 59.726148, 187.323386]]
### 12
fourier: [[61.007635, 64.072381, 65.925128, 81.548730, 181.526158]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.070472,
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],
[
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0.233465,
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],
[
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0.306367,
0.673269
],
[
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0.400744,
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],
[
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]
],
"network.0.bias": [
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0.354363
],
"network.2.weight": [
[
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0.602369,
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],
[
-0.010001,
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],
[
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0.121136
],
[
0.543347,
0.0224,
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],
[
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]
],
"network.2.bias": [
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0.018977,
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],
"network.4.weight": [
[
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],
[
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0.304764,
0.402746
],
[
0.500555,
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0.42857,
0.398253,
0.880813
],
[
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0.09076,
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],
[
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0.130103
]
],
"network.4.bias": [
0.398412,
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0.115139,
0.563394
],
"network.6.weight": [
[
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],
[
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],
[
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],
[
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],
[
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],
"network.6.bias": [
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"network.8.weight": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
0.126302
]
}
## Activation Signature
### 0
fourier: [[21.792757, 22.441247, 22.728728, 23.096856, 25.752361], [20.267482, 21.691327, 22.879943, 25.225137, 63.360183], [31.849073, 37.643612, 38.369623, 45.005779, 165.936664], [21.122909, 22.063277, 23.205162, 26.742762, 114.331119], [14.935024, 15.307187, 17.182001, 18.578640, 20.112403]]
### 2
fourier: [[30.242272, 35.980988, 37.977693, 46.465041, 100.034837], [8.444983, 8.719778, 9.930555, 10.907660, 136.218214], [19.527897, 24.931393, 25.806673, 27.837801, 189.831450], [14.845771, 15.128513, 15.368794, 17.066911, 19.315091], [28.911141, 30.327235, 32.174227, 39.440133, 126.915851]]
### 4
fourier: [[16.004923, 16.384463, 17.612354, 21.210489, 36.931812], [16.578914, 16.602860, 16.839417, 22.080767, 64.190766], [43.409741, 43.577386, 44.462030, 57.541567, 201.962945], [37.560037, 37.728225, 39.229826, 49.593340, 172.737341], [5.265475, 6.558143, 7.494563, 8.225032, 28.374129]]
### 6
fourier: [[36.330415, 37.546167, 39.641564, 49.392270, 126.214306], [36.495662, 37.684934, 39.386072, 49.596268, 104.642311], [31.654462, 32.794652, 34.326109, 43.153358, 103.176085], [3.459561, 3.637921, 3.791322, 4.665936, 34.691560], [47.834340, 48.837047, 50.906150, 64.333243, 176.674564]]
### 8
fourier: [[54.187506, 55.110736, 57.836963, 72.166001, 202.951617], [9.929495, 10.121097, 10.516304, 13.204971, 69.199233], [8.678518, 9.031223, 9.292494, 11.824337, 27.346019], [36.728426, 37.281352, 39.018002, 48.802209, 137.416638], [86.108525, 88.157308, 92.254570, 114.830098, 325.209574]]
### 10
fourier: [[78.725738, 81.581385, 84.584151, 105.414119, 272.598908], [58.922090, 61.073587, 63.247387, 78.921717, 213.333875], [1.240784, 1.281676, 1.312432, 1.708445, 91.539734], [30.814998, 31.983486, 33.247468, 41.313944, 144.310736], [44.637285, 46.187521, 47.875997, 59.726148, 187.323386]]
### 12
fourier: [[61.007635, 64.072381, 65.925128, 81.548730, 181.526158]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.584784, 0.070472, -0.025265, -0.032589, -0.518113], [-0.268399, -0.289149, 0.324463, 0.233465, 0.418936], [0.680086, -0.144898, -0.116848, 0.306367, 0.673269], [-0.306074, 0.400744, 0.478455, -0.089214, -0.430637], [-0.093921, 0.053996, -0.320453, 0.168383, -0.189733]], "network.0.bias": [-0.347021, -0.130204, 0.018178, 0.643989, 0.354363], "network.2.weight": [[0.897731, 0.379648, 0.602369, -0.392219, -0.008836], [-0.010001, -0.235317, -0.254482, -0.28368, -0.618432], [-0.560795, -0.349685, -0.483572, -0.50944, 0.121136], [0.543347, 0.0224, 0.197608, -0.310811, 0.266424], [0.146558, 0.214237, 0.649034, -0.40625, -0.370934]], "network.2.bias": [-0.184927, -0.263888, 0.018977, -0.431089, 0.577731], "network.4.weight": [[-0.40572, 0.134126, 0.010701, 0.506235, -0.261378], [0.093761, 0.075344, 0.521539, 0.304764, 0.402746], [0.500555, 0.017905, 0.42857, 0.398253, 0.880813], [0.763863, 0.364782, 0.09076, -0.072147, 0.513884], [-0.324925, 0.070599, 0.045068, 0.003438, 0.130103]], "network.4.bias": [0.398412, -0.110071, 0.113789, 0.115139, 0.563394], "network.6.weight": [[-0.345251, 0.315702, 0.254493, 0.435306, -0.896863], [-0.487823, 0.088178, 0.435573, 0.342774, -0.680227], [-0.407613, -0.222857, 0.540336, 0.229087, -0.698026], [-0.262192, 0.063122, -0.149522, 0.03416, 0.002364], [-0.412652, 0.341641, 0.410667, 0.575258, -0.590424]], "network.6.bias": [0.159048, -0.200423, -0.009196, -0.121059, -0.02452], "network.8.weight": [[0.3092, 0.07523, 0.425957, -0.015004, 0.611122], [-0.182549, 0.00835, 0.223397, 0.292501, 0.202409], [0.159324, -0.301991, -0.283314, -0.207542, 0.46969], [0.104926, 0.15255, -0.054038, -0.376253, 0.639572], [0.527117, 0.727752, 0.446757, -0.410825, 0.660862]], "network.8.bias": [-0.171024, 0.321655, -0.125167, -0.122268, -0.21009], "network.10.weight": [[0.226635, -0.077011, -0.010655, 0.518422, 0.582234], [0.264804, -0.234156, 0.358147, 0.419795, 0.348905], [0.181508, 0.425415, -0.028604, 0.173514, -0.218844], [-0.422156, 0.144231, 0.020895, 0.399212, -0.289377], [-0.030365, -0.357832, -0.018251, -0.377617, -0.306498]], "network.10.bias": [-0.408508, -0.147062, 0.814302, -0.298075, 0.001167], "network.12.weight": [[-0.638338, -0.235482, 0.490078, -0.241065, 0.417264]], "network.12.bias": [0.126302]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6792880296707153, "train_acc": 0.58, "val_loss": 0.7130548357963562, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820831298828125, "train_acc": 0.58, "val_loss": 0.7097898125648499, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6465382874011993, "train_acc": 0.58, "val_loss": 0.6512081623077393, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6262141168117523, "train_acc": 0.51, "val_loss": 0.5170454978942871, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5051384568214417, "train_acc": 0.51, "val_loss": 0.43384116888046265, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4457569718360901, "train_acc": 0.86, "val_loss": 0.37857237458229065, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4099646657705307, "train_acc": 0.835, "val_loss": 0.3284042477607727, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37098583579063416, "train_acc": 0.845, "val_loss": 0.2761978805065155, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.32183368504047394, "train_acc": 0.875, "val_loss": 0.24616290628910065, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.35652677714824677, "train_acc": 0.83, "val_loss": 0.271188884973526, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.396599143743515, "train_acc": 0.835, "val_loss": 0.2589462101459503, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.37943464517593384, "train_acc": 0.85, "val_loss": 0.22948749363422394, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3632701635360718, "train_acc": 0.85, "val_loss": 0.20817911624908447, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7130548357963562, "final_val_loss": 0.6512081623077393, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5170454978942871, "final_val_loss": 0.20817911624908447, "initial_val_acc": 0.46, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
18
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.08701594713422484, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[29.302182, 30.661221, 31.618445, 33.768149, 122.144328], [50.280162, 50.669804, 52.337934, 62.180676, 424.434927], [40.588042, 40.916397, 41.037287, 41.140526, 282.822783], [48.159635, 48.683770, 49.512588, 53.275337, 243.501644], [28.176986, 28.941894, 30.738182, 43.797507, 210.515792], [41.084931, 42.491181, 48.505628, 52.467114, 55.389524]]
### 2
fourier: [[5.041157, 5.268106, 8.089937, 8.575160, 18.489320], [36.925193, 37.342177, 38.520007, 48.689181, 165.927810], [39.248644, 39.957717, 40.180341, 49.226241, 184.911455], [32.552608, 33.250125, 36.920650, 41.007869, 215.398702], [41.504431, 45.952958, 46.971446, 54.186102, 263.714884], [57.982964, 58.062138, 58.193002, 69.362511, 276.320333]]
### 4
fourier: [[24.728350, 25.204813, 26.966572, 29.668212, 171.220119], [99.062362, 102.972634, 104.770106, 127.827570, 408.023946], [96.601417, 99.974236, 102.028674, 123.736481, 401.707051], [74.177404, 76.043752, 79.143515, 94.850511, 292.113524], [53.016693, 55.856426, 56.652876, 70.430441, 312.053594], [43.894685, 45.590302, 45.909452, 55.973776, 276.745548]]
### 6
fourier: [[291.252139, 311.145855, 331.598669, 392.545672, 1216.788846], [69.028251, 73.562701, 78.303639, 92.628755, 259.473071], [226.179089, 241.488481, 257.544442, 304.520397, 964.769490], [232.316896, 248.377459, 263.509171, 313.023655, 1005.778088], [188.982427, 201.971242, 215.113789, 254.452353, 810.260988], [174.728166, 186.856653, 198.362251, 235.633547, 784.460680]]
### 8
fourier: [[45.704313, 47.959079, 50.844678, 60.663720, 229.613355], [542.316246, 591.274644, 636.363201, 748.335337, 2424.232834], [508.965529, 558.393692, 603.300393, 707.730293, 2274.859388], [171.888316, 179.488975, 188.085952, 224.601889, 597.906885], [126.946392, 130.865188, 136.756453, 163.396065, 428.747126], [48.597518, 52.141679, 57.249520, 66.868380, 294.954834]]
### 10
fourier: [[873.803176, 953.302945, 1023.550796, 1204.219892, 3803.734029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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[
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[
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[
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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[29.302182, 30.661221, 31.618445, 33.768149, 122.144328], [50.280162, 50.669804, 52.337934, 62.180676, 424.434927], [40.588042, 40.916397, 41.037287, 41.140526, 282.822783], [48.159635, 48.683770, 49.512588, 53.275337, 243.501644], [28.176986, 28.941894, 30.738182, 43.797507, 210.515792], [41.084931, 42.491181, 48.505628, 52.467114, 55.389524]]
### 2
fourier: [[5.041157, 5.268106, 8.089937, 8.575160, 18.489320], [36.925193, 37.342177, 38.520007, 48.689181, 165.927810], [39.248644, 39.957717, 40.180341, 49.226241, 184.911455], [32.552608, 33.250125, 36.920650, 41.007869, 215.398702], [41.504431, 45.952958, 46.971446, 54.186102, 263.714884], [57.982964, 58.062138, 58.193002, 69.362511, 276.320333]]
### 4
fourier: [[24.728350, 25.204813, 26.966572, 29.668212, 171.220119], [99.062362, 102.972634, 104.770106, 127.827570, 408.023946], [96.601417, 99.974236, 102.028674, 123.736481, 401.707051], [74.177404, 76.043752, 79.143515, 94.850511, 292.113524], [53.016693, 55.856426, 56.652876, 70.430441, 312.053594], [43.894685, 45.590302, 45.909452, 55.973776, 276.745548]]
### 6
fourier: [[291.252139, 311.145855, 331.598669, 392.545672, 1216.788846], [69.028251, 73.562701, 78.303639, 92.628755, 259.473071], [226.179089, 241.488481, 257.544442, 304.520397, 964.769490], [232.316896, 248.377459, 263.509171, 313.023655, 1005.778088], [188.982427, 201.971242, 215.113789, 254.452353, 810.260988], [174.728166, 186.856653, 198.362251, 235.633547, 784.460680]]
### 8
fourier: [[45.704313, 47.959079, 50.844678, 60.663720, 229.613355], [542.316246, 591.274644, 636.363201, 748.335337, 2424.232834], [508.965529, 558.393692, 603.300393, 707.730293, 2274.859388], [171.888316, 179.488975, 188.085952, 224.601889, 597.906885], [126.946392, 130.865188, 136.756453, 163.396065, 428.747126], [48.597518, 52.141679, 57.249520, 66.868380, 294.954834]]
### 10
fourier: [[873.803176, 953.302945, 1023.550796, 1204.219892, 3803.734029]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.765181, -0.737412, -0.625549, 0.368357, 0.019997], [-0.371957, -0.470282, -0.49005, -1.073531, 0.269068], [-0.021175, 0.240434, -0.841416, -0.097947, -0.647518], [0.993501, 0.627895, 0.30603, 0.098921, -0.006258], [-0.18321, -0.744388, -0.419573, 0.351552, -0.24573], [0.840446, -1.327728, 0.324748, 0.072013, 0.147764]], "network.0.bias": [-0.473537, -0.402168, -0.787976, -0.518621, -0.329002, -0.180456], "network.2.weight": [[-0.481965, -0.935769, 0.203609, 0.08568, -0.792435, 0.102288], [0.634298, -0.009493, -1.037287, 0.479617, 0.377466, 0.886892], [0.470125, 0.078589, -0.972979, 0.545878, 0.401231, 0.849512], [-0.09825, -0.140087, 0.416524, -0.49483, 0.014252, -0.709361], [-0.937703, -0.20341, 0.762225, -0.689828, -0.405873, -0.643602], [0.663778, -0.086076, -0.502506, 0.846865, 0.59731, 1.060689]], "network.2.bias": [-0.044825, -0.06728, 0.016461, -0.642975, -0.558032, 0.099941], "network.4.weight": [[-0.253791, 0.281978, -0.189899, -0.10404, -0.159157, -0.474144], [-0.050918, 0.837127, 0.563994, 0.773681, 0.911106, 0.814443], [0.009705, 0.743238, 0.391535, 0.81377, 0.78155, 0.943886], [0.426845, 0.697068, 0.220704, 0.255064, 0.477421, 0.68478], [-0.016254, -0.723937, -0.58321, -0.46516, -0.003132, -0.076616], [0.40146, -0.045849, -0.53352, 0.253515, 0.000971, -0.408306]], "network.4.bias": [-0.566802, -0.443771, -0.408147, -0.548157, -0.800746, -0.732889], "network.6.weight": [[-0.781461, -1.258771, -0.698058, -1.593329, -0.829718, -0.999188], [0.18439, 0.046422, 0.469844, 0.312943, 0.586711, -0.032886], [0.936899, 0.593848, 0.969225, 1.192787, 0.564352, 0.485366], [1.213805, 1.31266, 0.757945, 0.57779, 0.614654, 0.97719], [1.053029, 0.566003, 0.696601, 1.037868, 0.854838, 0.764055], [-0.612326, -1.151744, -0.278119, -0.598846, -0.503656, -0.908121]], "network.6.bias": [0.610989, -0.460524, -0.264794, -0.072602, -0.046441, -0.262393], "network.8.weight": [[-0.038364, -0.816223, 0.171163, 0.079048, 0.228354, -0.173176], [-0.114181, 0.773522, 1.012584, 0.988639, 0.288327, 0.110432], [0.233574, 0.481552, 0.963105, 0.767839, 0.578597, 0.61301], [1.15756, -1.144765, -0.138395, -0.223035, -0.00266, 0.060618], [0.800423, -0.547603, -0.493939, 0.333662, -0.239747, 0.956906], [0.414563, -0.534208, -0.300483, 0.45143, 0.278039, -0.011458]], "network.8.bias": [0.176189, -0.364359, -0.927741, 0.401267, 0.308243, 0.314127], "network.10.weight": [[-0.139211, -0.673573, -0.985775, 0.500935, 0.262718, 0.109692]], "network.10.bias": [0.705429]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055697441101074, "train_acc": 0.435, "val_loss": 0.6894066333770752, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843611299991608, "train_acc": 0.565, "val_loss": 0.695496678352356, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6681269705295563, "train_acc": 0.565, "val_loss": 0.6514431834220886, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6279383599758148, "train_acc": 0.49, "val_loss": 0.4680464267730713, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.43819399178028107, "train_acc": 0.84, "val_loss": 0.37535354495048523, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3619000166654587, "train_acc": 0.89, "val_loss": 0.29064902663230896, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2631150111556053, "train_acc": 0.91, "val_loss": 0.20607690513134003, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.17872817069292068, "train_acc": 0.94, "val_loss": 0.11113523691892624, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2537386938929558, "train_acc": 0.925, "val_loss": 0.596274197101593, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.5866084098815918, "train_acc": 0.855, "val_loss": 0.49882662296295166, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3305545896291733, "train_acc": 0.85, "val_loss": 0.28281328082084656, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6894066333770752, "final_val_loss": 0.6514431834220886, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.4680464267730713, "final_val_loss": 0.28281328082084656, "initial_val_acc": 0.72, "final_val_acc": 0.9, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
19
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.7, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8617, "learning_rate": 0.08422630629161262, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
0.154427,
-0.57738,
0.157366,
0.167903,
0.258176,
0.336121
],
[
0.078998,
0.060189,
-0.709356,
-0.49325,
-0.013622,
-0.261538
]
],
"network.10.bias": [
-0.287688,
0.37539,
-0.02022,
-0.422054,
0.444544,
-0.435993
],
"network.12.weight": [
[
0.180408,
0.420943,
-0.515041,
0.197264,
0.502902,
0.071619
]
],
"network.12.bias": [
0.284817
]
}
## Activation Signature
### 0
fourier: [[16.955663, 18.470378, 19.025202, 20.207203, 182.715072], [54.833596, 55.602568, 59.229453, 63.432042, 166.044830], [32.023601, 34.233655, 34.293641, 42.547471, 190.891681], [35.011024, 39.601666, 46.493590, 48.816992, 63.869486], [40.623835, 41.123324, 42.707481, 45.233249, 276.436172], [27.587045, 28.475305, 34.790040, 37.198159, 301.970220]]
### 2
fourier: [[18.421124, 18.633748, 19.838134, 20.354360, 223.408977], [70.984284, 71.098024, 73.158099, 76.468610, 259.517740], [34.361266, 35.826528, 36.315852, 38.844672, 222.306266], [43.469802, 43.852684, 44.786399, 45.650792, 142.008512], [15.530315, 17.397974, 17.726771, 17.744149, 164.436238], [18.308166, 18.987011, 20.261535, 20.843181, 26.896248]]
### 4
fourier: [[51.265794, 53.275371, 54.061611, 55.142372, 229.418980], [114.133038, 119.913097, 121.085736, 125.138863, 419.676718], [26.459964, 27.957732, 28.020937, 29.867059, 110.010264], [42.744350, 45.832364, 46.189685, 47.272710, 162.035266], [101.431296, 105.884875, 106.866867, 111.391278, 382.199633], [84.736195, 88.224384, 89.666952, 90.595135, 328.290770]]
### 6
fourier: [[214.008514, 223.923913, 226.388479, 233.530698, 795.841129], [105.203488, 109.911156, 111.212443, 114.429498, 406.785539], [167.052338, 174.484840, 176.574185, 181.607373, 629.161188], [43.860024, 46.018297, 46.459095, 48.129016, 173.988155], [63.375993, 66.197564, 66.990375, 68.897392, 245.942405], [72.119945, 75.560416, 76.402619, 78.662974, 270.346447]]
### 8
fourier: [[108.349172, 113.369186, 114.616957, 118.232946, 409.964255], [110.845595, 115.981270, 117.257791, 120.957105, 384.580312], [100.423954, 105.076776, 106.233278, 109.584781, 357.254189], [52.220229, 54.639687, 55.241064, 56.983840, 210.285764], [122.309412, 127.976231, 129.384771, 133.466667, 482.433642], [23.181250, 24.255279, 24.522239, 25.295879, 107.055365]]
### 10
fourier: [[24.398744, 25.676348, 25.983976, 26.648255, 114.976100], [38.087450, 40.141324, 40.565066, 41.449448, 103.002519], [148.644313, 156.576679, 158.308922, 161.974633, 535.210432], [40.413405, 42.568277, 43.040924, 44.042126, 184.060662], [47.526282, 50.093512, 50.618175, 51.710483, 130.510343], [64.048612, 67.424523, 68.210890, 69.898139, 272.246129]]
### 12
fourier: [[78.221127, 82.320220, 83.535391, 85.985854, 233.074969]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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0.319961,
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],
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[
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-0.097293
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[
0.167575,
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0.079159,
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],
[
-0.809717,
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0.001374
],
[
-0.293729,
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-0.298951
]
],
"network.0.bias": [
0.461569,
-0.010679,
-0.218877,
-0.376354,
-0.263198,
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],
"network.2.weight": [
[
-0.729614,
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-0.67045,
0.010867,
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],
[
-0.161537,
1.15139,
0.801768,
0.896852,
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],
[
-0.191447,
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0.006391
],
[
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0.056421,
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[
-0.520236,
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0.010189,
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[
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0.286781,
-0.019795
]
],
"network.2.bias": [
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0.10617,
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-0.2043
],
"network.4.weight": [
[
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0.116415,
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],
[
0.068409,
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0.084802,
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],
[
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],
[
0.289151,
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],
[
0.196902,
1.103171,
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0.401078,
0.155327,
0.556115
],
[
-0.036054,
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0.278003,
0.224485
]
],
"network.4.bias": [
-0.431329,
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],
"network.6.weight": [
[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
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[
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]
],
"network.8.bias": [
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],
"network.10.weight": [
[
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[
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],
[
0.078998,
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],
"network.10.bias": [
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0.444544,
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],
"network.12.weight": [
[
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-0.515041,
0.197264,
0.502902,
0.071619
]
],
"network.12.bias": [
0.284817
]
}
## Activation Signature
### 0
fourier: [[16.955663, 18.470378, 19.025202, 20.207203, 182.715072], [54.833596, 55.602568, 59.229453, 63.432042, 166.044830], [32.023601, 34.233655, 34.293641, 42.547471, 190.891681], [35.011024, 39.601666, 46.493590, 48.816992, 63.869486], [40.623835, 41.123324, 42.707481, 45.233249, 276.436172], [27.587045, 28.475305, 34.790040, 37.198159, 301.970220]]
### 2
fourier: [[18.421124, 18.633748, 19.838134, 20.354360, 223.408977], [70.984284, 71.098024, 73.158099, 76.468610, 259.517740], [34.361266, 35.826528, 36.315852, 38.844672, 222.306266], [43.469802, 43.852684, 44.786399, 45.650792, 142.008512], [15.530315, 17.397974, 17.726771, 17.744149, 164.436238], [18.308166, 18.987011, 20.261535, 20.843181, 26.896248]]
### 4
fourier: [[51.265794, 53.275371, 54.061611, 55.142372, 229.418980], [114.133038, 119.913097, 121.085736, 125.138863, 419.676718], [26.459964, 27.957732, 28.020937, 29.867059, 110.010264], [42.744350, 45.832364, 46.189685, 47.272710, 162.035266], [101.431296, 105.884875, 106.866867, 111.391278, 382.199633], [84.736195, 88.224384, 89.666952, 90.595135, 328.290770]]
### 6
fourier: [[214.008514, 223.923913, 226.388479, 233.530698, 795.841129], [105.203488, 109.911156, 111.212443, 114.429498, 406.785539], [167.052338, 174.484840, 176.574185, 181.607373, 629.161188], [43.860024, 46.018297, 46.459095, 48.129016, 173.988155], [63.375993, 66.197564, 66.990375, 68.897392, 245.942405], [72.119945, 75.560416, 76.402619, 78.662974, 270.346447]]
### 8
fourier: [[108.349172, 113.369186, 114.616957, 118.232946, 409.964255], [110.845595, 115.981270, 117.257791, 120.957105, 384.580312], [100.423954, 105.076776, 106.233278, 109.584781, 357.254189], [52.220229, 54.639687, 55.241064, 56.983840, 210.285764], [122.309412, 127.976231, 129.384771, 133.466667, 482.433642], [23.181250, 24.255279, 24.522239, 25.295879, 107.055365]]
### 10
fourier: [[24.398744, 25.676348, 25.983976, 26.648255, 114.976100], [38.087450, 40.141324, 40.565066, 41.449448, 103.002519], [148.644313, 156.576679, 158.308922, 161.974633, 535.210432], [40.413405, 42.568277, 43.040924, 44.042126, 184.060662], [47.526282, 50.093512, 50.618175, 51.710483, 130.510343], [64.048612, 67.424523, 68.210890, 69.898139, 272.246129]]
### 12
fourier: [[78.221127, 82.320220, 83.535391, 85.985854, 233.074969]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.95566344902215, 18.470377943624758, 19.025202438587577, 20.207203044879794, 182.7150717973709]}, "1": {"fourier": [54.83359583070329, 55.60256750795985, 59.22945348430396, 63.432042275007696, 166.04482995718718]}, "2": {"fourier": [32.023601431314425, 34.233655390862, 34.29364084159586, 42.54747087495759, 190.89168146252632]}, "3": {"fourier": [35.01102369851771, 39.60166587481922, 46.493590140312605, 48.816991752755726, 63.869486302137375]}, "4": {"fourier": [40.623835212734654, 41.12332367220523, 42.70748135588209, 45.23324896503891, 276.4361717700958]}, "5": {"fourier": [27.587045418880926, 28.475304529630602, 34.79003952611407, 37.19815901054647, 301.9702202677727]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [18.421124337865933, 18.633748328143508, 19.83813395423481, 20.354359535607273, 223.408977329731]}, "1": {"fourier": 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29.867058598051557, 110.01026384532452]}, "3": {"fourier": [42.74434992415024, 45.83236429409089, 46.18968541225518, 47.27271012990016, 162.03526559472084]}, "4": {"fourier": [101.43129568046179, 105.88487475663388, 106.86686693907669, 111.3912778586508, 382.19963275641203]}, "5": {"fourier": [84.7361953781968, 88.2243841660639, 89.66695239959991, 90.59513544702648, 328.29077035188675]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [214.00851358417515, 223.9239125811654, 226.3884791718385, 233.5306976842749, 795.8411294743419]}, "1": {"fourier": [105.20348840976729, 109.91115648029817, 111.21244282108337, 114.42949774820161, 406.7855388522148]}, "2": {"fourier": [167.05233757408638, 174.48484042529324, 176.574184512168, 181.60737251133756, 629.1611878871918]}, "3": {"fourier": [43.86002393134705, 46.018297205995744, 46.459094696323454, 48.12901609614945, 173.98815493285656]}, "4": {"fourier": 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25.295878917094246, 107.05536450445652]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [24.39874440045699, 25.67634801326547, 25.983975765139878, 26.64825489720277, 114.97610047459602]}, "1": {"fourier": [38.08744972607843, 40.1413235012635, 40.56506632659178, 41.44944845169436, 103.0025188177824]}, "2": {"fourier": [148.64431263737012, 156.57667868896434, 158.30892230691512, 161.97463283568467, 535.2104324549437]}, "3": {"fourier": [40.41340502718891, 42.568276587896214, 43.0409236768151, 44.0421260340232, 184.06066200137138]}, "4": {"fourier": [47.526282031226756, 50.093512461638646, 50.61817535276952, 51.71048305725495, 130.51034273207188]}, "5": {"fourier": [64.04861195868513, 67.42452320957688, 68.21089043382202, 69.89813917847444, 272.2461294531822]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [78.22112671684583, 82.32021963740492, 83.53539074338521, 85.98585408027013, 233.07496884465218]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.177564, 0.055817, 0.354974, 0.319961, 0.210987], [1.500881, 0.564692, -0.136319, -0.026832, -0.566627], [-0.030141, 0.531511, -0.905896, -0.382781, -0.097293], [0.167575, 0.537537, 0.079159, -0.060681, -1.262095], [-0.809717, -0.183493, -0.526771, -0.171434, 0.001374], [-0.293729, -0.409661, -0.148803, -0.412062, -0.298951]], "network.0.bias": [0.461569, -0.010679, -0.218877, -0.376354, -0.263198, -0.680019], "network.2.weight": [[-0.729614, -0.095022, -0.735279, -0.67045, 0.010867, -0.358548], [-0.161537, 1.15139, 0.801768, 0.896852, 0.175517, -0.052602], [-0.191447, -0.540626, -0.094484, -0.615085, 0.034549, 0.006391], [-0.188531, 0.741571, 0.911961, 0.361829, 0.056421, 0.425751], [-0.520236, -0.123747, -0.49018, -0.556721, 0.010189, -0.361966], [-0.3386, 0.25229, 0.164558, 0.500015, 0.286781, -0.019795]], "network.2.bias": [-0.371037, 0.174074, -0.558965, 0.10617, -0.157909, -0.2043], "network.4.weight": [[0.164717, -0.518841, -0.166381, -0.308837, 0.116415, -0.149717], [0.068409, 1.018371, -0.514641, 0.797042, 0.084802, 0.716433], [-0.217265, -0.270028, -0.226961, -0.098285, -0.396762, -0.260415], [0.289151, -0.172295, -0.408013, -0.598197, -0.695972, -0.431631], [0.196902, 1.103171, 0.533815, 0.401078, 0.155327, 0.556115], [-0.036054, 0.764359, 0.06671, 0.674118, 0.278003, 0.224485]], "network.4.bias": [-0.431329, -0.009168, -0.142492, -0.084792, 0.067504, 0.155426], "network.6.weight": [[-0.599718, 0.794192, -0.227872, 0.226596, 0.766703, 0.538496], [-0.438921, -0.232001, 0.32822, -0.047312, -0.417966, -0.428853], [-0.275655, -0.327691, -0.003309, -0.172624, -0.67436, -0.723002], [-0.33558, -0.284219, -0.133168, 0.241042, -0.120132, 0.008877], [0.139506, -0.126581, 0.379263, 0.394496, -0.253297, -0.274286], [-0.127492, -0.390764, -0.020696, -0.321776, -0.116485, -0.185538]], "network.6.bias": [-0.082827, -0.098159, 0.039224, -0.129396, -0.065954, -0.009279], "network.8.weight": [[-0.506284, -0.254993, 0.04059, 0.017601, 0.146846, 0.358406], [0.517949, -0.33901, -0.579096, -0.363953, -0.073273, 0.012725], [0.469252, 0.21113, 0.240983, 0.301471, -0.280587, 0.025901], [-0.24401, 0.698038, -0.069974, 0.326188, -0.063061, -0.058988], [-0.571517, -0.289854, -0.028659, -0.273962, 0.062268, -0.050399], [-0.108319, -0.210632, -0.302723, -0.227083, -0.402952, -0.225446]], "network.8.bias": [-0.078248, -0.306946, -0.179955, -0.178806, -0.306636, -0.231671], "network.10.weight": [[0.060625, 0.107195, -0.362846, -0.324806, -0.342992, -0.16097], [-0.101444, -0.427728, 0.087661, 0.122769, 0.169625, 0.312191], [-0.175442, 0.836101, 0.573717, -0.06258, 0.022147, -0.073678], [0.052986, -0.20952, -0.175546, -0.486264, -0.384724, -0.301359], [0.154427, -0.57738, 0.157366, 0.167903, 0.258176, 0.336121], [0.078998, 0.060189, -0.709356, -0.49325, -0.013622, -0.261538]], "network.10.bias": [-0.287688, 0.37539, -0.02022, -0.422054, 0.444544, -0.435993], "network.12.weight": [[0.180408, 0.420943, -0.515041, 0.197264, 0.502902, 0.071619]], "network.12.bias": [0.284817]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023701071739197, "train_acc": 0.465, "val_loss": 0.7157906889915466, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676950603723526, "train_acc": 0.575, "val_loss": 0.7114367485046387, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6770642101764679, "train_acc": 0.575, "val_loss": 0.6857280135154724, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6479049921035767, "train_acc": 0.575, "val_loss": 0.6382277011871338, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6297185122966766, "train_acc": 0.5, "val_loss": 0.5899689197540283, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5837588310241699, "train_acc": 0.7, "val_loss": 0.5980642437934875, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5500819087028503, "train_acc": 0.71, "val_loss": 0.5510146617889404, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5034720301628113, "train_acc": 0.74, "val_loss": 0.6300559639930725, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5305390357971191, "train_acc": 0.74, "val_loss": 0.5513774156570435, "val_acc": 0.7}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5015869438648224, "train_acc": 0.725, "val_loss": 0.5881266593933105, "val_acc": 0.68}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7157906889915466, "final_val_loss": 0.6382277011871338, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5899689197540283, "final_val_loss": 0.5881266593933105, "initial_val_acc": 0.68, "final_val_acc": 0.68, "best_val_acc": 0.7, "best_epoch": 6}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
20
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7000, "learning_rate": 0.025272621911807264, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[25.610762, 26.768691, 27.368461, 32.392783, 252.499053], [18.262270, 20.850095, 21.253765, 24.366645, 96.976289], [20.469081, 21.928119, 21.978096, 22.288424, 26.927795], [16.449995, 17.632752, 18.909328, 24.845286, 81.684578], [23.295821, 23.515166, 25.826175, 27.137070, 97.225961], [20.149596, 22.439343, 23.977108, 26.284550, 77.212581]]
### 2
fourier: [[21.406169, 21.792540, 24.068851, 24.235634, 96.636756], [9.055617, 9.384094, 9.756551, 9.868359, 33.792135], [14.199921, 14.508713, 14.644670, 15.642237, 39.255565], [21.747369, 23.024774, 25.965204, 27.398884, 27.746218], [14.999638, 16.631958, 17.510660, 19.510268, 88.021430], [4.813818, 5.616260, 5.672384, 6.315203, 33.287076]]
### 4
fourier: [[24.682744, 29.424820, 29.508185, 29.673346, 104.359520], [7.527168, 8.707578, 8.769352, 9.413664, 53.710864], [16.000668, 19.576314, 23.529775, 24.023116, 24.339832], [7.339358, 7.631226, 7.660275, 8.833454, 110.807944], [18.756374, 19.210584, 24.245770, 24.931793, 27.564739], [9.047367, 11.469463, 12.035640, 12.943618, 27.789883]]
### 6
fourier: [[21.658978, 25.796079, 26.196542, 27.396519, 29.954626], [7.717985, 8.037396, 10.986254, 11.800956, 12.100822], [28.093303, 30.209263, 30.508962, 31.077813, 127.799033], [14.784038, 17.237367, 17.663355, 18.793310, 19.640406], [15.875298, 17.001830, 18.610956, 21.020786, 23.261016], [11.762250, 13.959218, 15.934822, 16.456619, 16.984537]]
### 8
fourier: [[23.969199, 28.047568, 29.071845, 30.718743, 85.600708]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.35104,
-0.403752
],
[
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-0.093767,
0.126638,
0.579383
],
[
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0.2409
],
[
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],
[
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]
],
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[
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],
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[
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],
"network.6.bias": [
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],
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[
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]
],
"network.8.bias": [
-0.265231
]
}
## Activation Signature
### 0
fourier: [[25.610762, 26.768691, 27.368461, 32.392783, 252.499053], [18.262270, 20.850095, 21.253765, 24.366645, 96.976289], [20.469081, 21.928119, 21.978096, 22.288424, 26.927795], [16.449995, 17.632752, 18.909328, 24.845286, 81.684578], [23.295821, 23.515166, 25.826175, 27.137070, 97.225961], [20.149596, 22.439343, 23.977108, 26.284550, 77.212581]]
### 2
fourier: [[21.406169, 21.792540, 24.068851, 24.235634, 96.636756], [9.055617, 9.384094, 9.756551, 9.868359, 33.792135], [14.199921, 14.508713, 14.644670, 15.642237, 39.255565], [21.747369, 23.024774, 25.965204, 27.398884, 27.746218], [14.999638, 16.631958, 17.510660, 19.510268, 88.021430], [4.813818, 5.616260, 5.672384, 6.315203, 33.287076]]
### 4
fourier: [[24.682744, 29.424820, 29.508185, 29.673346, 104.359520], [7.527168, 8.707578, 8.769352, 9.413664, 53.710864], [16.000668, 19.576314, 23.529775, 24.023116, 24.339832], [7.339358, 7.631226, 7.660275, 8.833454, 110.807944], [18.756374, 19.210584, 24.245770, 24.931793, 27.564739], [9.047367, 11.469463, 12.035640, 12.943618, 27.789883]]
### 6
fourier: [[21.658978, 25.796079, 26.196542, 27.396519, 29.954626], [7.717985, 8.037396, 10.986254, 11.800956, 12.100822], [28.093303, 30.209263, 30.508962, 31.077813, 127.799033], [14.784038, 17.237367, 17.663355, 18.793310, 19.640406], [15.875298, 17.001830, 18.610956, 21.020786, 23.261016], [11.762250, 13.959218, 15.934822, 16.456619, 16.984537]]
### 8
fourier: [[23.969199, 28.047568, 29.071845, 30.718743, 85.600708]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.610761869045213, 26.76869059521311, 27.3684613850547, 32.392782845324405, 252.49905270338058]}, "1": {"fourier": [18.262269863239634, 20.85009517841336, 21.253765411728217, 24.366644982049195, 96.97628907859325]}, "2": {"fourier": [20.469081336960823, 21.928119225982933, 21.97809596661009, 22.28842446466623, 26.92779515944248]}, "3": {"fourier": [16.44999527226078, 17.63275205513346, 18.909328375046396, 24.845286098026484, 81.68457791209221]}, "4": {"fourier": [23.295820560306765, 23.515165521377057, 25.826174684478826, 27.137070010739308, 97.22596082091331]}, "5": {"fourier": [20.14959623536127, 22.439343023810892, 23.977108145083704, 26.284549624235144, 77.21258111298084]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [21.406169439575663, 21.79253980822237, 24.068850941356747, 24.235633555767404, 96.6367564201355]}, "1": {"fourier": [9.055617130941606, 9.384094000043108, 9.756550841177239, 9.868359222179365, 33.792135160416365]}, "2": {"fourier": [14.199921194778515, 14.508712928041009, 14.644669767568953, 15.642236855099789, 39.25556471943855]}, "3": {"fourier": [21.747368849813938, 23.024773538738494, 25.96520441430627, 27.398884468185145, 27.746218114701836]}, "4": {"fourier": [14.999637987949649, 16.631958033304468, 17.51065972418849, 19.510267970954036, 88.02143040299416]}, "5": {"fourier": [4.813818426293495, 5.6162604172899595, 5.672383746877311, 6.315202685643862, 33.287076123058796]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [24.6827439163347, 29.424820117958788, 29.50818451067017, 29.673345698377627, 104.35952025651932]}, "1": {"fourier": [7.52716836069218, 8.707578195252712, 8.769351692288915, 9.413663500890367, 53.71086399257183]}, "2": {"fourier": [16.000668418531745, 19.576313796080015, 23.529775393672725, 24.02311645749565, 24.33983204594675]}, "3": {"fourier": [7.339357594183757, 7.6312257092739415, 7.660274675857755, 8.833453650649844, 110.80794370174408]}, "4": {"fourier": [18.75637442646669, 19.210583601097305, 24.24576982231698, 24.931792587270778, 27.56473887724928]}, "5": {"fourier": [9.04736678143877, 11.469462918631269, 12.035639635134498, 12.943618498798218, 27.789883345365524]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [21.658977561644182, 25.796079377635607, 26.196542415767908, 27.396519430957305, 29.95462611865298]}, "1": {"fourier": [7.717984699491028, 8.037395750143162, 10.986254004885597, 11.800956155699087, 12.100822219661703]}, "2": {"fourier": [28.093302981652336, 30.209262861210917, 30.508962146971967, 31.077813184016808, 127.79903341829777]}, "3": {"fourier": [14.784038342589216, 17.23736681609867, 17.66335534096699, 18.793309972519072, 19.640405904501677]}, "4": {"fourier": [15.875298246797476, 17.001830348272872, 18.61095557171602, 21.02078561374355, 23.261015970141646]}, "5": {"fourier": [11.762249922132181, 13.959217540827522, 15.934822394585815, 16.456619083589523, 16.98453744490852]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [23.969199130297294, 28.04756772578885, 29.07184457447956, 30.718742713768957, 85.60070753097534]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.048291, -0.390441, -0.26856, -0.494977, 0.137126], [-0.187913, 0.049518, 0.510961, 0.35104, -0.403752], [-0.504851, -0.039095, -0.093767, 0.126638, 0.579383], [0.433144, -0.076486, -0.007583, -0.109075, 0.2409], [-0.169998, 0.516762, -0.232059, -0.21665, -0.428107], [0.355843, 0.087591, -0.035414, -0.133324, 0.453328]], "network.0.bias": [-0.580659, -0.101038, -0.058356, 0.460592, -0.333055, 0.056257], "network.2.weight": [[-0.238282, -0.169015, 0.257108, 0.309267, -0.12315, 0.57868], [-0.056806, 0.328943, -0.272405, -0.072986, 0.34946, 0.059384], [0.351645, 0.425751, -0.555608, -0.381698, 0.147247, 0.215214], [-0.0659, 0.510163, -0.6, -0.46373, 0.222976, -0.237941], [-0.31319, -0.107978, 0.380673, 0.216003, 0.386773, 0.385058], [0.192433, 0.245674, 0.171772, 0.005919, -0.080888, -0.121469]], "network.2.bias": [0.38783, 0.122155, 0.344869, 0.028132, 0.402926, 0.136125], "network.4.weight": [[0.506053, -0.081782, -0.267833, -0.704118, 0.445437, 0.009614], [0.156401, 0.045749, 0.029073, -0.167081, 0.309206, 0.523846], [-0.217377, 0.009958, 0.49988, 0.417595, -0.533346, 0.126725], [0.285924, 0.313975, 0.125688, 0.079007, 0.21107, 0.177075], [-0.604335, 0.537952, 0.68195, 0.209748, 0.085431, 0.21525], [0.131403, 0.181121, 0.301574, 0.30828, -0.443676, 0.027302]], "network.4.bias": [0.640505, 0.043473, 0.396596, 0.509138, -0.077595, 0.248084], "network.6.weight": [[-0.70647, 0.12465, 0.328044, 0.19957, 0.48922, 0.180246], [-0.103671, 0.301303, -0.169779, 0.330254, -0.396899, -0.228889], [0.669242, 0.523601, -0.293016, 0.289199, -0.294615, -0.070734], [-0.423823, -0.184533, 0.188979, 0.121662, 0.239527, 0.121491], [-0.284135, 0.271996, 0.49574, 0.00662, 0.411326, 0.429008], [-0.401964, -0.055722, 0.464288, 0.083645, -0.128603, 0.27715]], "network.6.bias": [-0.10501, 0.023531, 0.300601, 0.03676, -0.175607, 0.113119], "network.8.weight": [[0.244928, -0.074938, -0.653424, 0.454718, 0.199583, 0.120208]], "network.8.bias": [-0.265231]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897553205490112, "train_acc": 0.57, "val_loss": 0.6892157196998596, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784673035144806, "train_acc": 0.57, "val_loss": 0.6784011721611023, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6657344698905945, "train_acc": 0.59, "val_loss": 0.6526867747306824, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6361852884292603, "train_acc": 0.69, "val_loss": 0.6102039217948914, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6352730691432953, "train_acc": 0.695, "val_loss": 0.5830082893371582, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5510962009429932, "train_acc": 0.775, "val_loss": 0.5288682579994202, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5246470868587494, "train_acc": 0.76, "val_loss": 0.4943920969963074, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4878329634666443, "train_acc": 0.745, "val_loss": 0.45370185375213623, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4357360154390335, "train_acc": 0.815, "val_loss": 0.43908336758613586, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.41739654541015625, "train_acc": 0.825, "val_loss": 0.434867262840271, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.397285521030426, "train_acc": 0.81, "val_loss": 0.4089910387992859, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.36710378527641296, "train_acc": 0.82, "val_loss": 0.3781667947769165, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3577069640159607, "train_acc": 0.825, "val_loss": 0.3619680106639862, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6892157196998596, "final_val_loss": 0.6526867747306824, "initial_val_acc": 0.54, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.6102039217948914, "final_val_loss": 0.3619680106639862, "initial_val_acc": 0.72, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
21
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8389, "learning_rate": 0.07569666252355549, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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1.331376
],
[
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[
0.512865,
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[
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[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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1.053772
],
[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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],
"network.4.bias": [
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[
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[
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"network.10.weight": [
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[
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"network.10.bias": [
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"network.12.weight": [
[
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[42.256567, 46.988179, 52.671883, 60.057442, 92.026155], [35.827831, 36.733766, 37.791848, 40.906111, 66.055511], [21.603259, 22.505609, 23.232131, 29.650156, 73.871634], [36.876885, 39.574781, 39.778082, 44.307201, 64.148637], [35.418189, 36.422957, 36.756656, 47.683479, 86.672863]]
### 2
fourier: [[36.273305, 37.960394, 45.681880, 53.976382, 170.363830], [77.179429, 77.634224, 91.828566, 102.762752, 298.975855], [71.332947, 71.351551, 86.050945, 98.409536, 308.460607], [7.801325, 8.973433, 9.294015, 12.996501, 63.663208], [23.970023, 25.456567, 29.991287, 36.395552, 122.999506]]
### 4
fourier: [[48.159395, 49.044894, 58.513596, 68.405557, 219.699565], [100.139083, 101.513649, 119.805881, 136.599102, 376.143788], [116.989244, 118.552011, 139.961280, 159.515804, 492.871398], [52.944675, 53.813398, 63.487297, 72.862887, 236.316211], [104.923978, 106.983297, 126.046180, 145.439988, 461.798317]]
### 6
fourier: [[11.758513, 11.759832, 13.997249, 15.776779, 83.195621], [62.922334, 64.708286, 75.701895, 87.345078, 280.509996], [25.982263, 26.092753, 30.977630, 35.038255, 143.687710], [127.038982, 130.260341, 152.668511, 175.718470, 535.983416], [138.863386, 142.270317, 166.827237, 191.886637, 525.762360]]
### 8
fourier: [[115.572486, 119.003884, 139.044375, 160.713527, 481.013852], [8.064559, 8.340970, 9.875407, 10.694837, 79.042935], [6.743213, 6.855134, 8.090229, 9.223485, 69.825627], [84.644890, 87.064267, 101.813840, 117.542145, 382.934312], [169.721458, 175.591455, 204.425519, 237.441829, 715.191704]]
### 10
fourier: [[76.865411, 79.352223, 92.534075, 107.240156, 270.132025], [20.177931, 20.935948, 24.320824, 28.332483, 57.436571], [180.211067, 186.280637, 217.013897, 251.836209, 763.207310], [161.229173, 166.445915, 194.095153, 224.942681, 668.406340], [150.406766, 155.463900, 181.120507, 210.171322, 649.719953]]
### 12
fourier: [[40.427215, 42.056877, 48.025455, 58.026325, 140.391235]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.465039,
-0.014656,
-0.281004,
-0.263123,
1.331376
],
[
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0.178527,
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}
## Activation Signature
### 0
fourier: [[42.256567, 46.988179, 52.671883, 60.057442, 92.026155], [35.827831, 36.733766, 37.791848, 40.906111, 66.055511], [21.603259, 22.505609, 23.232131, 29.650156, 73.871634], [36.876885, 39.574781, 39.778082, 44.307201, 64.148637], [35.418189, 36.422957, 36.756656, 47.683479, 86.672863]]
### 2
fourier: [[36.273305, 37.960394, 45.681880, 53.976382, 170.363830], [77.179429, 77.634224, 91.828566, 102.762752, 298.975855], [71.332947, 71.351551, 86.050945, 98.409536, 308.460607], [7.801325, 8.973433, 9.294015, 12.996501, 63.663208], [23.970023, 25.456567, 29.991287, 36.395552, 122.999506]]
### 4
fourier: [[48.159395, 49.044894, 58.513596, 68.405557, 219.699565], [100.139083, 101.513649, 119.805881, 136.599102, 376.143788], [116.989244, 118.552011, 139.961280, 159.515804, 492.871398], [52.944675, 53.813398, 63.487297, 72.862887, 236.316211], [104.923978, 106.983297, 126.046180, 145.439988, 461.798317]]
### 6
fourier: [[11.758513, 11.759832, 13.997249, 15.776779, 83.195621], [62.922334, 64.708286, 75.701895, 87.345078, 280.509996], [25.982263, 26.092753, 30.977630, 35.038255, 143.687710], [127.038982, 130.260341, 152.668511, 175.718470, 535.983416], [138.863386, 142.270317, 166.827237, 191.886637, 525.762360]]
### 8
fourier: [[115.572486, 119.003884, 139.044375, 160.713527, 481.013852], [8.064559, 8.340970, 9.875407, 10.694837, 79.042935], [6.743213, 6.855134, 8.090229, 9.223485, 69.825627], [84.644890, 87.064267, 101.813840, 117.542145, 382.934312], [169.721458, 175.591455, 204.425519, 237.441829, 715.191704]]
### 10
fourier: [[76.865411, 79.352223, 92.534075, 107.240156, 270.132025], [20.177931, 20.935948, 24.320824, 28.332483, 57.436571], [180.211067, 186.280637, 217.013897, 251.836209, 763.207310], [161.229173, 166.445915, 194.095153, 224.942681, 668.406340], [150.406766, 155.463900, 181.120507, 210.171322, 649.719953]]
### 12
fourier: [[40.427215, 42.056877, 48.025455, 58.026325, 140.391235]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.465039, -0.014656, -0.281004, -0.263123, 1.331376], [-0.634242, 0.001653, -0.132577, 0.178527, 1.107275], [0.512865, -0.118925, -0.135257, -0.544772, 0.048383], [-1.098685, -0.067691, 0.147435, 0.020498, 0.085299], [0.749332, -0.124121, -0.09422, -0.10673, 0.670224]], "network.0.bias": [-0.020287, 0.048676, 0.148779, 0.320706, -0.144214], "network.2.weight": [[-0.555924, -0.403229, -0.48244, 0.020356, -0.276173], [0.946202, 0.449918, 0.673623, 0.397288, 1.053772], [0.945456, 0.558246, 0.523607, -0.009938, 0.840761], [-0.251139, -0.097611, 0.053992, -0.05545, 0.098996], [0.232335, 0.413163, 0.335415, 0.57264, 0.240308]], "network.2.bias": [-0.080954, -0.348465, 0.098558, -0.327577, -0.099576], "network.4.weight": [[0.477591, 0.064785, -0.575111, 0.012986, -0.508987], [-0.384392, 0.778729, 0.507096, -0.29935, 0.197709], [0.188557, 0.907557, 0.601805, 0.244411, 0.20981], [0.235509, -0.340166, -0.303294, -0.024437, -0.228489], [0.069452, -0.594396, -0.609414, -0.003346, -0.683861]], "network.4.bias": [0.010594, -0.450141, 0.07216, -0.128096, -0.10388], "network.6.weight": [[-0.111424, 0.075213, -0.16277, -0.183742, -0.17011], [0.384057, 0.455608, 0.160692, 0.298669, 0.223238], [-0.264242, 0.114212, -0.316635, -0.184158, -0.264876], [-0.019497, 0.734748, 0.477675, 0.301965, -0.030253], [-0.386377, 0.748104, 0.567692, -0.198654, -0.314308]], "network.6.bias": [-0.355675, 0.282209, -0.352497, 0.187379, -0.476449], "network.8.weight": [[0.070058, 0.305146, -0.093894, 0.502778, 0.240039], [-0.234778, 0.122574, -0.123108, -0.39659, 0.253556], [0.125735, -0.133873, 0.122633, -0.035685, 0.045895], [-0.394372, -0.415601, -0.135506, -0.348393, -0.105137], [0.045097, 0.176362, 0.046031, 0.363301, 0.830702]], "network.8.bias": [-0.03428, -0.412748, -0.420165, -0.256773, 0.272144], "network.10.weight": [[0.303321, 0.380736, 0.141682, -0.019459, 0.246344], [-0.106218, 0.432335, -0.704519, -0.089208, 0.191218], [-0.28836, -0.309144, -0.001043, 0.107604, -0.865445], [-0.635284, -0.138469, -0.663176, -0.08674, -0.517364], [-0.255912, -0.442229, -0.090463, 0.070854, -0.711934]], "network.10.bias": [-0.577253, -0.313651, -0.061589, 0.079876, -0.193931], "network.12.weight": [[-0.425232, -0.49649, -0.216647, -0.07687, -0.241325]], "network.12.bias": [0.171973]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7628794610500336, "train_acc": 0.405, "val_loss": 0.6772518754005432, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7106174826622009, "train_acc": 0.405, "val_loss": 0.6882845163345337, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6813212633132935, "train_acc": 0.585, "val_loss": 0.7391815781593323, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6352788805961609, "train_acc": 0.595, "val_loss": 0.6717362999916077, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.577570766210556, "train_acc": 0.595, "val_loss": 0.5749897956848145, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.511377215385437, "train_acc": 0.525, "val_loss": 0.6110368371009827, "val_acc": 0.42}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48362500965595245, "train_acc": 0.67, "val_loss": 0.4481204152107239, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.41708220541477203, "train_acc": 0.845, "val_loss": 0.40438225865364075, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.40066829323768616, "train_acc": 0.84, "val_loss": 0.373118132352829, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.39332321286201477, "train_acc": 0.84, "val_loss": 0.3497665524482727, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3692817986011505, "train_acc": 0.845, "val_loss": 0.3318798542022705, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3519156575202942, "train_acc": 0.86, "val_loss": 0.3205399215221405, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.34017014503479004, "train_acc": 0.86, "val_loss": 0.30407214164733887, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.33395032584667206, "train_acc": 0.86, "val_loss": 0.2937298119068146, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.31030043959617615, "train_acc": 0.875, "val_loss": 0.29524335265159607, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6772518754005432, "final_val_loss": 0.5749897956848145, "initial_val_acc": 0.6, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6110368371009827, "final_val_loss": 0.29524335265159607, "initial_val_acc": 0.42, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 4}}
|
22
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1137, "learning_rate": 0.048769761062395736, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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## Activation Signature
### 0
fourier: [[39.631211, 41.425692, 43.689089, 44.109452, 77.827180], [36.799499, 38.358896, 39.526850, 44.263447, 146.148018], [47.042367, 47.277879, 47.502016, 53.070796, 166.219596], [18.585513, 19.167957, 19.841432, 21.518967, 39.425834], [34.327394, 35.530875, 36.871614, 39.381879, 102.463964], [27.895098, 28.376776, 28.454461, 29.116135, 255.709965], [39.874639, 48.478192, 49.360699, 59.220743, 162.068186], [32.520510, 34.385240, 35.152765, 35.960509, 134.208585]]
### 2
fourier: [[53.738152, 55.809485, 63.082746, 77.017962, 102.638071], [37.083962, 39.509179, 43.490918, 44.133814, 44.668008], [29.308659, 32.933436, 33.039424, 37.608179, 64.166280], [35.324700, 38.161966, 38.380691, 39.671687, 206.353094], [42.416818, 42.882213, 45.478713, 49.187133, 61.600019], [37.014800, 40.901665, 48.076410, 50.677830, 319.716251], [61.422653, 65.873201, 66.351917, 70.077460, 86.359177], [38.911043, 49.497577, 50.800834, 51.657868, 333.878320]]
### 4
fourier: [[18.521944, 20.403066, 20.950621, 24.664479, 89.519414], [14.763716, 17.557189, 18.312222, 26.852285, 27.956114], [24.694939, 25.537330, 25.594000, 27.620142, 35.385358], [67.174232, 67.555174, 67.870533, 69.984848, 324.755147], [32.003187, 33.146139, 34.237429, 35.548128, 46.872620], [54.378297, 55.339150, 65.854661, 90.287098, 128.177265], [90.760949, 98.279335, 117.245030, 152.888879, 265.672141], [25.441544, 26.888959, 28.761407, 33.498422, 38.331089]]
### 6
fourier: [[94.453923, 99.867044, 100.479788, 105.918481, 576.596078], [86.423136, 89.407075, 93.413788, 99.699428, 400.508320], [112.358172, 113.867078, 114.616063, 121.193096, 484.610206], [99.192434, 101.275780, 104.712474, 109.504585, 442.405270], [49.365916, 49.517689, 53.568532, 63.734847, 71.908106], [106.470208, 111.130695, 116.206323, 124.447644, 559.676162], [122.286563, 127.839673, 131.385697, 143.169513, 612.511300], [101.813744, 102.491386, 103.701360, 104.190097, 453.050739]]
### 8
fourier: [[170.247588, 171.713934, 173.751633, 178.352021, 691.785419], [147.558210, 152.176498, 158.241380, 167.588599, 684.132412], [139.117154, 139.288914, 142.743045, 147.533101, 572.986605], [182.421264, 186.043291, 192.533862, 201.753329, 810.191268], [107.878112, 108.471115, 110.372716, 113.287346, 391.359137], [211.438448, 217.172093, 225.684367, 238.210858, 952.398404], [86.157911, 88.795786, 89.984841, 96.810478, 417.655509], [31.874219, 32.040689, 33.381706, 36.393364, 56.943896]]
### 10
fourier: [[421.072063, 427.305814, 442.650489, 462.930234, 1739.592241]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[39.631211, 41.425692, 43.689089, 44.109452, 77.827180], [36.799499, 38.358896, 39.526850, 44.263447, 146.148018], [47.042367, 47.277879, 47.502016, 53.070796, 166.219596], [18.585513, 19.167957, 19.841432, 21.518967, 39.425834], [34.327394, 35.530875, 36.871614, 39.381879, 102.463964], [27.895098, 28.376776, 28.454461, 29.116135, 255.709965], [39.874639, 48.478192, 49.360699, 59.220743, 162.068186], [32.520510, 34.385240, 35.152765, 35.960509, 134.208585]]
### 2
fourier: [[53.738152, 55.809485, 63.082746, 77.017962, 102.638071], [37.083962, 39.509179, 43.490918, 44.133814, 44.668008], [29.308659, 32.933436, 33.039424, 37.608179, 64.166280], [35.324700, 38.161966, 38.380691, 39.671687, 206.353094], [42.416818, 42.882213, 45.478713, 49.187133, 61.600019], [37.014800, 40.901665, 48.076410, 50.677830, 319.716251], [61.422653, 65.873201, 66.351917, 70.077460, 86.359177], [38.911043, 49.497577, 50.800834, 51.657868, 333.878320]]
### 4
fourier: [[18.521944, 20.403066, 20.950621, 24.664479, 89.519414], [14.763716, 17.557189, 18.312222, 26.852285, 27.956114], [24.694939, 25.537330, 25.594000, 27.620142, 35.385358], [67.174232, 67.555174, 67.870533, 69.984848, 324.755147], [32.003187, 33.146139, 34.237429, 35.548128, 46.872620], [54.378297, 55.339150, 65.854661, 90.287098, 128.177265], [90.760949, 98.279335, 117.245030, 152.888879, 265.672141], [25.441544, 26.888959, 28.761407, 33.498422, 38.331089]]
### 6
fourier: [[94.453923, 99.867044, 100.479788, 105.918481, 576.596078], [86.423136, 89.407075, 93.413788, 99.699428, 400.508320], [112.358172, 113.867078, 114.616063, 121.193096, 484.610206], [99.192434, 101.275780, 104.712474, 109.504585, 442.405270], [49.365916, 49.517689, 53.568532, 63.734847, 71.908106], [106.470208, 111.130695, 116.206323, 124.447644, 559.676162], [122.286563, 127.839673, 131.385697, 143.169513, 612.511300], [101.813744, 102.491386, 103.701360, 104.190097, 453.050739]]
### 8
fourier: [[170.247588, 171.713934, 173.751633, 178.352021, 691.785419], [147.558210, 152.176498, 158.241380, 167.588599, 684.132412], [139.117154, 139.288914, 142.743045, 147.533101, 572.986605], [182.421264, 186.043291, 192.533862, 201.753329, 810.191268], [107.878112, 108.471115, 110.372716, 113.287346, 391.359137], [211.438448, 217.172093, 225.684367, 238.210858, 952.398404], [86.157911, 88.795786, 89.984841, 96.810478, 417.655509], [31.874219, 32.040689, 33.381706, 36.393364, 56.943896]]
### 10
fourier: [[421.072063, 427.305814, 442.650489, 462.930234, 1739.592241]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7166059911251068, "train_acc": 0.45, "val_loss": 0.6628438830375671, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6712149977684021, "train_acc": 0.6, "val_loss": 0.6077123880386353, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6715221703052521, "train_acc": 0.52, "val_loss": 0.5294758081436157, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6052295863628387, "train_acc": 0.795, "val_loss": 0.5156734585762024, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5863761007785797, "train_acc": 0.735, "val_loss": 0.37995949387550354, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4563259482383728, "train_acc": 0.82, "val_loss": 0.3629800081253052, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.39948800206184387, "train_acc": 0.86, "val_loss": 0.31309738755226135, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3553125560283661, "train_acc": 0.885, "val_loss": 0.32762107253074646, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2809934914112091, "train_acc": 0.915, "val_loss": 0.27664870023727417, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23350617289543152, "train_acc": 0.93, "val_loss": 0.27114903926849365, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19181524217128754, "train_acc": 0.945, "val_loss": 0.15775032341480255, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1313576102256775, "train_acc": 0.955, "val_loss": 0.085726298391819, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6628438830375671, "final_val_loss": 0.6077123880386353, "initial_val_acc": 0.64, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5294758081436157, "final_val_loss": 0.085726298391819, "initial_val_acc": 0.84, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
23
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3187, "learning_rate": 0.06433198685419476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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],
[
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"network.0.bias": [
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"network.2.weight": [
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[
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## Activation Signature
### 0
fourier: [[45.986092, 53.578004, 56.356872, 56.605305, 141.727770], [36.219115, 36.756438, 37.226606, 38.908321, 41.066033], [49.525228, 50.973985, 60.639990, 62.687405, 165.433851], [41.501851, 42.900856, 43.918461, 43.930912, 262.683111], [46.118880, 46.149793, 57.329715, 59.280259, 151.813228], [26.103775, 31.036535, 31.068112, 35.324912, 155.923505], [19.188697, 20.199242, 20.967271, 24.381724, 40.951146], [39.850742, 41.635705, 41.653550, 58.064895, 58.299190]]
### 2
fourier: [[20.378180, 20.647685, 21.003039, 25.156840, 38.883837], [47.849341, 48.240707, 52.786088, 57.485199, 177.008847], [92.239506, 94.206222, 96.535118, 102.269163, 322.177630], [79.081990, 81.740745, 81.757168, 83.009742, 307.007359], [95.280848, 97.647549, 104.010311, 107.200938, 332.277308], [36.346551, 38.508895, 39.219191, 40.377186, 180.985715], [55.866464, 56.477118, 58.472239, 61.152805, 143.781687], [58.283334, 59.676595, 60.396981, 65.095257, 209.007128]]
### 4
fourier: [[115.647991, 117.042584, 125.028962, 131.204692, 444.100299], [61.656055, 61.713529, 65.141288, 72.107662, 179.478912], [114.507684, 116.557658, 120.950828, 130.203070, 394.721652], [86.026924, 88.212919, 89.501016, 99.113038, 259.646339], [82.548741, 83.754642, 86.263259, 91.268416, 258.337276], [54.933788, 55.594149, 56.110214, 59.929119, 236.387459], [69.293615, 69.731384, 74.450898, 79.907468, 235.000093], [125.422813, 126.927190, 132.032678, 140.586760, 430.060053]]
### 6
fourier: [[25.810068, 26.147527, 26.287317, 28.765349, 114.734024], [69.869936, 72.936958, 74.950310, 77.779918, 329.440725], [83.890043, 84.416278, 93.145122, 96.432007, 256.575144], [152.932631, 153.791139, 163.609692, 173.953291, 499.912387], [183.698223, 184.144896, 197.397203, 208.294764, 682.132146], [138.834287, 138.917583, 149.861063, 157.881066, 503.969953], [168.439995, 169.260247, 178.949180, 189.895219, 560.877557], [27.929295, 28.084951, 30.743244, 32.164325, 101.566713]]
### 8
fourier: [[128.788751, 129.643287, 130.926944, 141.947597, 414.895983], [180.185904, 180.702013, 185.475910, 199.604050, 606.213288], [88.969734, 89.187304, 90.803541, 97.780294, 389.466007], [186.713381, 187.899584, 191.410505, 206.373225, 646.383433], [127.071554, 127.759868, 132.061448, 141.352655, 391.805706], [262.456872, 262.691922, 277.244232, 294.820189, 954.833023], [196.485200, 196.740422, 206.221170, 219.993130, 626.385668], [159.335244, 159.993774, 162.630780, 175.693648, 600.694695]]
### 10
fourier: [[172.823736, 173.425732, 180.051239, 192.818116, 561.458180], [206.837399, 207.522022, 220.664499, 233.706305, 718.521508], [83.943039, 85.492704, 97.179796, 99.329239, 292.770481], [102.625287, 103.746441, 112.702433, 117.836401, 309.085744], [9.122086, 9.141405, 10.638988, 10.965533, 28.887631], [46.692392, 46.969479, 54.627097, 55.106998, 140.090112], [136.565580, 140.172078, 156.668313, 161.626752, 492.834389], [131.539664, 132.589674, 142.495271, 150.035665, 401.358537]]
### 12
fourier: [[164.834782, 165.907514, 177.922366, 188.431186, 563.808973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
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],
[
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0.054438,
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-0.480887,
0.181979,
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],
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-0.194401,
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0.640944,
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0.057406,
0.26978,
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],
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],
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],
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}
## Activation Signature
### 0
fourier: [[45.986092, 53.578004, 56.356872, 56.605305, 141.727770], [36.219115, 36.756438, 37.226606, 38.908321, 41.066033], [49.525228, 50.973985, 60.639990, 62.687405, 165.433851], [41.501851, 42.900856, 43.918461, 43.930912, 262.683111], [46.118880, 46.149793, 57.329715, 59.280259, 151.813228], [26.103775, 31.036535, 31.068112, 35.324912, 155.923505], [19.188697, 20.199242, 20.967271, 24.381724, 40.951146], [39.850742, 41.635705, 41.653550, 58.064895, 58.299190]]
### 2
fourier: [[20.378180, 20.647685, 21.003039, 25.156840, 38.883837], [47.849341, 48.240707, 52.786088, 57.485199, 177.008847], [92.239506, 94.206222, 96.535118, 102.269163, 322.177630], [79.081990, 81.740745, 81.757168, 83.009742, 307.007359], [95.280848, 97.647549, 104.010311, 107.200938, 332.277308], [36.346551, 38.508895, 39.219191, 40.377186, 180.985715], [55.866464, 56.477118, 58.472239, 61.152805, 143.781687], [58.283334, 59.676595, 60.396981, 65.095257, 209.007128]]
### 4
fourier: [[115.647991, 117.042584, 125.028962, 131.204692, 444.100299], [61.656055, 61.713529, 65.141288, 72.107662, 179.478912], [114.507684, 116.557658, 120.950828, 130.203070, 394.721652], [86.026924, 88.212919, 89.501016, 99.113038, 259.646339], [82.548741, 83.754642, 86.263259, 91.268416, 258.337276], [54.933788, 55.594149, 56.110214, 59.929119, 236.387459], [69.293615, 69.731384, 74.450898, 79.907468, 235.000093], [125.422813, 126.927190, 132.032678, 140.586760, 430.060053]]
### 6
fourier: [[25.810068, 26.147527, 26.287317, 28.765349, 114.734024], [69.869936, 72.936958, 74.950310, 77.779918, 329.440725], [83.890043, 84.416278, 93.145122, 96.432007, 256.575144], [152.932631, 153.791139, 163.609692, 173.953291, 499.912387], [183.698223, 184.144896, 197.397203, 208.294764, 682.132146], [138.834287, 138.917583, 149.861063, 157.881066, 503.969953], [168.439995, 169.260247, 178.949180, 189.895219, 560.877557], [27.929295, 28.084951, 30.743244, 32.164325, 101.566713]]
### 8
fourier: [[128.788751, 129.643287, 130.926944, 141.947597, 414.895983], [180.185904, 180.702013, 185.475910, 199.604050, 606.213288], [88.969734, 89.187304, 90.803541, 97.780294, 389.466007], [186.713381, 187.899584, 191.410505, 206.373225, 646.383433], [127.071554, 127.759868, 132.061448, 141.352655, 391.805706], [262.456872, 262.691922, 277.244232, 294.820189, 954.833023], [196.485200, 196.740422, 206.221170, 219.993130, 626.385668], [159.335244, 159.993774, 162.630780, 175.693648, 600.694695]]
### 10
fourier: [[172.823736, 173.425732, 180.051239, 192.818116, 561.458180], [206.837399, 207.522022, 220.664499, 233.706305, 718.521508], [83.943039, 85.492704, 97.179796, 99.329239, 292.770481], [102.625287, 103.746441, 112.702433, 117.836401, 309.085744], [9.122086, 9.141405, 10.638988, 10.965533, 28.887631], [46.692392, 46.969479, 54.627097, 55.106998, 140.090112], [136.565580, 140.172078, 156.668313, 161.626752, 492.834389], [131.539664, 132.589674, 142.495271, 150.035665, 401.358537]]
### 12
fourier: [[164.834782, 165.907514, 177.922366, 188.431186, 563.808973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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65.0952569480128, 209.00712849199772]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [115.64799074077392, 117.04258365938455, 125.0289620132507, 131.20469187385314, 444.1002991050482]}, "1": {"fourier": [61.656055347816725, 61.713529263605395, 65.1412882489792, 72.10766243394932, 179.47891168296337]}, "2": {"fourier": [114.50768359033022, 116.55765780135584, 120.95082778194457, 130.20306960038621, 394.72165160626173]}, "3": {"fourier": [86.02692388291777, 88.21291932901242, 89.50101603673933, 99.11303772682537, 259.6463388502598]}, "4": {"fourier": [82.54874123819184, 83.75464187054381, 86.2632591780654, 91.26841575048356, 258.33727619051933]}, "5": {"fourier": [54.933788324089036, 55.59414876077115, 56.11021412458246, 59.92911881781661, 236.38745912909508]}, "6": {"fourier": [69.29361460186716, 69.73138392678273, 74.4508983903553, 79.9074681743104, 235.00009286776185]}, "7": {"fourier": 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{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.402263, -0.224592, 0.209272, 0.206969, -0.414091], [0.883873, 0.424356, -0.339925, -0.604813, -0.122059], [1.388064, 0.387691, 0.125339, 0.066239, -0.862369], [-0.880629, -0.606867, -0.210474, 0.023988, 0.049184], [1.310872, 0.206529, 0.216889, 0.0815, -0.806059], [0.383591, -0.106938, -0.119067, -0.224153, -0.828281], [-0.575719, 0.259313, 0.151285, 0.038987, 0.273302], [1.176846, -0.974272, -0.323873, 0.129982, 0.290535]], "network.0.bias": [-0.131298, 0.627845, 0.064051, -0.389405, 0.045475, -0.264025, -0.037761, -0.294878], "network.2.weight": [[0.227858, -0.207764, -0.057677, 0.495561, -0.136299, -0.543095, -0.560696, 0.815007], [0.344296, -0.227036, 0.35786, -0.198237, 0.216647, -0.891772, -0.20863, 0.743272], [0.3226, 0.526761, 0.774417, 0.660631, 0.224118, -0.877983, -0.139574, 0.934672], [-0.056399, 0.587474, 0.654667, 0.155087, 0.520344, -0.509447, 0.088684, 0.649129], [-0.633969, -0.354018, -0.332766, -0.164317, -0.814176, -0.157826, 0.24668, -0.208982], [-0.172299, 0.110427, -0.156607, -0.01645, -0.400698, -0.280868, -0.506617, -0.45111], [0.048635, -0.207986, -0.466978, -0.30714, -0.507061, 0.274485, 0.240824, -0.362966], [0.107073, 0.301343, 0.437727, 0.555989, 0.278174, -0.795851, 0.198005, 0.809696]], "network.2.bias": [-0.352735, 0.042446, -0.063468, 0.043809, 0.052038, -0.104652, 0.589339, -0.246258], "network.4.weight": [[0.000436, 0.63397, 0.288308, 0.3767, -0.186056, -0.11072, -0.737513, 0.502395], [-0.322457, -0.507755, -0.160019, -0.240701, 0.378354, -0.605518, 0.34793, -0.001639], [0.343033, 0.544603, 0.416468, 0.491081, -0.440176, -0.193599, -0.220947, 0.153416], [-0.253845, -0.366726, -0.419357, -0.051313, 0.019103, -0.491382, 0.218379, -0.399223], [-0.013294, -0.432962, -0.460333, -0.363621, -0.065744, -0.634625, 0.13545, 0.181578], [-0.094977, -0.274965, -0.285941, -0.24808, -0.711408, 0.189734, -0.178205, 0.103556], [-0.188419, -0.221945, -0.336731, -0.107657, 0.407038, -0.28083, 0.591594, -0.29772], [0.190735, 0.451191, 0.509917, 0.449235, -0.262188, 0.401307, -0.458568, 0.324824]], "network.4.bias": [0.397131, 0.307947, -0.181294, 0.386978, 0.355188, -0.37783, -0.047267, -0.082569], "network.6.weight": [[0.060611, 0.144385, -0.204239, 0.1376, -0.099078, 0.111046, -0.194733, -0.072487], [-0.367342, -0.821776, -0.350915, -0.654034, -0.108023, 0.336567, 0.006145, 0.089103], [0.319645, -0.720219, -0.11676, -0.320322, -0.308202, -0.007146, -0.188385, 0.479928], [-0.448645, 0.064106, -0.720373, 0.4853, 0.424486, -0.673324, 0.45485, -0.134408], [0.595473, -0.682345, 0.299015, -0.41297, -0.557982, -0.11555, -0.180512, 0.633634], [0.574936, -0.596945, 0.326986, -0.307856, -0.708419, -0.083586, 0.143572, 0.269208], [0.551593, 0.010377, 0.330537, -0.331904, -0.448943, 0.545047, -0.449105, 0.51792], [0.154447, -0.021941, 0.076865, -0.194639, 0.262462, -0.129405, -0.390592, 0.011156]], "network.6.bias": [-0.317951, -0.462706, -0.362028, 0.320267, 0.413619, 0.146881, -0.325909, -0.004678], "network.8.weight": [[-0.176627, 0.032614, 0.153385, 0.268472, 0.176077, 0.170062, 0.358816, -0.049371], [-0.362819, -0.685727, -0.459962, -0.078346, -0.23084, -0.348837, -0.35123, 0.375637], [-0.264367, 0.398556, -0.474072, -0.446256, -0.594489, -0.040971, 0.515328, -0.685742], [-0.242228, -0.237259, -0.724782, -0.014874, -0.15865, -0.132131, -0.505266, 0.291268], [-0.554928, -0.291099, -0.62966, 0.287407, -0.040874, -0.075022, -0.336512, 0.062292], [0.00421, -0.342683, 0.163761, -0.548976, 0.502385, 0.596556, 0.570726, -0.822565], [-0.192053, -0.607599, -0.217282, 0.413946, -0.133917, -0.459401, -0.522419, -0.001172], [0.264266, -0.372384, -0.365417, -0.256647, -0.431538, 0.047543, -0.41961, 0.557654]], "network.8.bias": [-0.569613, 0.285836, -0.466375, -0.004463, 0.323535, 0.142834, 0.586604, -0.289947], "network.10.weight": [[-0.816078, 0.008333, -0.691151, -0.012026, 0.073568, -0.256902, 0.374028, -0.120895], [0.498832, 0.026849, -0.083851, -0.368359, -0.509173, 0.544859, -0.47896, -0.579518], [-0.136257, -0.135422, 0.280521, -0.391105, -0.434048, 0.386106, -0.533504, -0.049354], [0.48102, -0.102776, -0.099064, -0.115068, -0.274673, 0.157745, -0.635074, -0.1253], [-0.366092, -0.523708, 0.054438, -0.114705, -0.480887, 0.181979, -0.361823, -0.389321], [-0.194401, -0.116071, 0.640944, -0.512073, 0.057406, 0.26978, -0.438005, -0.16282], [-0.074608, -0.132439, 0.081279, 0.071642, -0.447326, 0.563218, -0.959393, -0.218736], [-0.246065, 0.303222, -0.199988, -0.084614, -0.031442, -0.381559, 0.573825, 0.080982]], "network.10.bias": [0.125979, 0.039383, 0.064707, -0.233782, -0.307896, -0.226375, 0.217986, 0.552529], "network.12.weight": [[0.306936, -0.383221, -0.254615, -0.144295, -0.131682, -0.125429, -0.311775, 0.359867]], "network.12.bias": [0.138691]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846025586128235, "train_acc": 0.575, "val_loss": 0.7219191789627075, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6949425041675568, "train_acc": 0.575, "val_loss": 0.712556779384613, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6455960273742676, "train_acc": 0.575, "val_loss": 0.6552083492279053, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6840587258338928, "train_acc": 0.505, "val_loss": 0.5590522289276123, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5742817223072052, "train_acc": 0.735, "val_loss": 0.5223467946052551, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.572003573179245, "train_acc": 0.78, "val_loss": 0.46424415707588196, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4906705468893051, "train_acc": 0.78, "val_loss": 0.46384483575820923, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.437079980969429, "train_acc": 0.815, "val_loss": 0.43345099687576294, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4092726409435272, "train_acc": 0.82, "val_loss": 0.39154452085494995, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.38751375675201416, "train_acc": 0.83, "val_loss": 0.434812992811203, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3655264377593994, "train_acc": 0.83, "val_loss": 0.3745187520980835, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3676116615533829, "train_acc": 0.83, "val_loss": 0.36962196230888367, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.35948848724365234, "train_acc": 0.84, "val_loss": 0.3796195983886719, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7219191789627075, "final_val_loss": 0.6552083492279053, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5590522289276123, "final_val_loss": 0.3796195983886719, "initial_val_acc": 0.78, "final_val_acc": 0.82, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
24
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9587, "learning_rate": 0.07451702846533188, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[35.227985, 36.813079, 37.186590, 39.721115, 67.285261], [23.838244, 26.300291, 28.727503, 34.212197, 155.286153], [52.626666, 52.922619, 53.090189, 55.463058, 69.312546], [50.529748, 51.336352, 55.221181, 55.970993, 199.877859], [52.887912, 53.656709, 58.477091, 75.061376, 100.050489], [40.662254, 41.918351, 43.904478, 44.892183, 53.039143], [38.847616, 43.972590, 48.878737, 52.548968, 55.402529]]
### 2
fourier: [[30.316462, 31.037857, 32.720774, 37.070112, 56.058122], [24.276307, 25.378336, 26.544999, 27.094769, 61.823521], [15.528613, 19.071038, 19.282771, 23.357656, 114.907659], [33.766114, 35.018980, 35.452168, 59.333062, 207.851552], [34.897693, 39.385401, 39.505030, 42.557454, 47.531893], [17.569126, 19.212240, 21.463959, 33.857810, 130.576331], [30.629152, 30.999740, 36.079310, 36.686409, 38.992334]]
### 4
fourier: [[18.850756, 19.263245, 20.297541, 21.386237, 44.125415], [15.265338, 16.063399, 16.202626, 16.571115, 18.463224], [4.241892, 4.890366, 5.934166, 7.314430, 19.985480], [4.316898, 4.366460, 4.445760, 4.652220, 5.448572], [6.050714, 6.592398, 7.059862, 7.267161, 93.377458], [7.548181, 7.959161, 8.251278, 9.068095, 47.086277], [8.179248, 8.676877, 8.680976, 9.316809, 90.344937]]
### 6
fourier: [[8.234567, 8.634970, 8.816952, 9.341841, 81.054499], [14.801868, 16.281133, 17.330966, 17.889525, 17.947296], [12.498164, 13.497608, 13.862193, 14.534474, 125.308903], [7.591152, 7.949495, 7.950410, 8.853055, 51.168676], [8.760539, 9.351204, 9.537104, 10.047548, 87.987810], [15.828807, 16.266952, 16.789198, 17.553988, 65.014620], [16.423258, 18.094332, 18.381075, 19.059044, 19.955813]]
### 8
fourier: [[0.757148, 0.796106, 0.821155, 0.837833, 42.808596], [12.260841, 12.901513, 13.095048, 14.128780, 52.793743], [24.966620, 25.773831, 26.836652, 27.556991, 137.979896], [12.230879, 12.666099, 12.977670, 13.691603, 104.472198], [38.479713, 40.015077, 40.087862, 44.639799, 128.680662], [13.257215, 13.509588, 13.655343, 15.376795, 36.874423], [11.487865, 11.965610, 12.035748, 13.342625, 47.442403]]
### 10
fourier: [[8.115014, 9.427391, 10.018825, 10.616559, 13.347739], [43.161390, 43.406190, 47.162976, 49.709407, 426.263619], [39.894557, 40.332477, 44.088825, 46.811192, 447.919339], [20.605882, 21.757990, 23.989796, 25.815334, 248.435251], [12.072666, 12.276612, 13.015889, 13.499425, 103.127840], [33.927892, 34.500538, 37.583326, 40.640927, 401.279785], [21.232667, 21.827625, 24.131186, 25.384754, 256.241704]]
### 12
fourier: [[94.026900, 96.140829, 105.510947, 112.797147, 1142.719895]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[35.227985, 36.813079, 37.186590, 39.721115, 67.285261], [23.838244, 26.300291, 28.727503, 34.212197, 155.286153], [52.626666, 52.922619, 53.090189, 55.463058, 69.312546], [50.529748, 51.336352, 55.221181, 55.970993, 199.877859], [52.887912, 53.656709, 58.477091, 75.061376, 100.050489], [40.662254, 41.918351, 43.904478, 44.892183, 53.039143], [38.847616, 43.972590, 48.878737, 52.548968, 55.402529]]
### 2
fourier: [[30.316462, 31.037857, 32.720774, 37.070112, 56.058122], [24.276307, 25.378336, 26.544999, 27.094769, 61.823521], [15.528613, 19.071038, 19.282771, 23.357656, 114.907659], [33.766114, 35.018980, 35.452168, 59.333062, 207.851552], [34.897693, 39.385401, 39.505030, 42.557454, 47.531893], [17.569126, 19.212240, 21.463959, 33.857810, 130.576331], [30.629152, 30.999740, 36.079310, 36.686409, 38.992334]]
### 4
fourier: [[18.850756, 19.263245, 20.297541, 21.386237, 44.125415], [15.265338, 16.063399, 16.202626, 16.571115, 18.463224], [4.241892, 4.890366, 5.934166, 7.314430, 19.985480], [4.316898, 4.366460, 4.445760, 4.652220, 5.448572], [6.050714, 6.592398, 7.059862, 7.267161, 93.377458], [7.548181, 7.959161, 8.251278, 9.068095, 47.086277], [8.179248, 8.676877, 8.680976, 9.316809, 90.344937]]
### 6
fourier: [[8.234567, 8.634970, 8.816952, 9.341841, 81.054499], [14.801868, 16.281133, 17.330966, 17.889525, 17.947296], [12.498164, 13.497608, 13.862193, 14.534474, 125.308903], [7.591152, 7.949495, 7.950410, 8.853055, 51.168676], [8.760539, 9.351204, 9.537104, 10.047548, 87.987810], [15.828807, 16.266952, 16.789198, 17.553988, 65.014620], [16.423258, 18.094332, 18.381075, 19.059044, 19.955813]]
### 8
fourier: [[0.757148, 0.796106, 0.821155, 0.837833, 42.808596], [12.260841, 12.901513, 13.095048, 14.128780, 52.793743], [24.966620, 25.773831, 26.836652, 27.556991, 137.979896], [12.230879, 12.666099, 12.977670, 13.691603, 104.472198], [38.479713, 40.015077, 40.087862, 44.639799, 128.680662], [13.257215, 13.509588, 13.655343, 15.376795, 36.874423], [11.487865, 11.965610, 12.035748, 13.342625, 47.442403]]
### 10
fourier: [[8.115014, 9.427391, 10.018825, 10.616559, 13.347739], [43.161390, 43.406190, 47.162976, 49.709407, 426.263619], [39.894557, 40.332477, 44.088825, 46.811192, 447.919339], [20.605882, 21.757990, 23.989796, 25.815334, 248.435251], [12.072666, 12.276612, 13.015889, 13.499425, 103.127840], [33.927892, 34.500538, 37.583326, 40.640927, 401.279785], [21.232667, 21.827625, 24.131186, 25.384754, 256.241704]]
### 12
fourier: [[94.026900, 96.140829, 105.510947, 112.797147, 1142.719895]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.22798535768965, 36.8130791125739, 37.18659043360298, 39.721114600000796, 67.28526121377945]}, "1": {"fourier": [23.838244026853737, 26.3002909110021, 28.727502542906702, 34.21219659508031, 155.28615318238735]}, "2": {"fourier": [52.62666627203493, 52.92261851940312, 53.09018859239921, 55.46305824533973, 69.31254615175528]}, "3": {"fourier": [50.52974815894773, 51.33635212291079, 55.22118147132581, 55.9709926670579, 199.87785871326923]}, "4": {"fourier": [52.887912181396324, 53.65670851796079, 58.477091099605445, 75.06137566604151, 100.05048927664757]}, "5": {"fourier": [40.66225367076942, 41.918351441316986, 43.90447841100005, 44.89218338231586, 53.03914294846237]}, "6": {"fourier": [38.847616063736474, 43.972590268381126, 48.878737007732894, 52.54896825551987, 55.40252863958681]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": 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21.386237266118556, 44.12541548907757]}, "1": {"fourier": [15.265337652819793, 16.06339880258068, 16.20262560066385, 16.571115162291044, 18.46322379548219]}, "2": {"fourier": [4.241892463343235, 4.890366036177773, 5.934165533236774, 7.314430370795782, 19.985479936003685]}, "3": {"fourier": [4.316897807685383, 4.366459761470967, 4.445760129108993, 4.652219910542027, 5.448572497825161]}, "4": {"fourier": [6.050713741138334, 6.592398467656947, 7.059862303099085, 7.267160813715225, 93.37745827436447]}, "5": {"fourier": [7.548181265467602, 7.959161366942418, 8.251277885717958, 9.068094615992417, 47.08627665042877]}, "6": {"fourier": [8.179248231080273, 8.6768773799293, 8.680976485542839, 9.316808522630346, 90.34493726491928]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [8.234567381544572, 8.634969663913017, 8.816952381647651, 9.34184075988863, 81.05449914932251]}, "1": {"fourier": [14.801868150601965, 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40.33247675210327, 44.0888251590194, 46.81119242750178, 447.91933888196945]}, "3": {"fourier": [20.60588227210983, 21.757990217970622, 23.98979589351973, 25.81533379847261, 248.43525095283985]}, "4": {"fourier": [12.072666256634019, 12.2766117304951, 13.015888773918295, 13.499425058470576, 103.12784044444561]}, "5": {"fourier": [33.92789182718694, 34.50053838983274, 37.58332637326568, 40.64092720126069, 401.2797847688198]}, "6": {"fourier": [21.23266733879329, 21.8276253281262, 24.131186322381147, 25.38475409461321, 256.24170395731926]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [94.02689985533485, 96.14082872470613, 105.51094671122152, 112.79714730078814, 1142.7198953926563]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.567955, 0.407757, -0.53954, 0.373424, -0.121322], [0.575846, -0.451883, -0.265259, -0.423666, -0.272862], [1.043499, 0.501357, -0.037932, 0.098833, -1.637935], [-0.39006, 0.201611, -0.50011, 0.321969, -1.147119], [-1.670202, 0.543325, 0.178282, 0.038338, 0.007019], [-1.305392, 0.429589, 0.163354, -0.116831, 0.300977], [-1.155094, 0.223205, -0.003995, 0.486492, 0.205202]], "network.0.bias": [-0.307966, 0.180577, -0.174372, -0.333826, -0.486539, 0.170846, 0.326606], "network.2.weight": [[0.291664, 0.28013, -0.768502, -0.395662, 0.33868, 0.389501, 0.119224], [-0.058818, 0.077698, -0.596828, -0.351745, 0.299587, 0.053929, 0.300232], [-0.179542, 0.327241, -0.162907, 0.28023, -0.529845, 0.109521, -0.561707], [-0.363973, -0.86856, -0.547069, -0.467955, -0.65566, 0.076819, -0.578289], [0.326458, 0.28317, -0.944886, -0.613469, 0.421822, 0.298056, 0.157185], [-0.802849, 0.782228, -0.433592, -0.025097, -0.021223, 0.391799, -0.253014], [0.197978, 0.221199, -0.784547, -0.406535, 0.100302, 0.142086, 0.639384]], "network.2.bias": [-0.279168, -0.421858, -0.160909, -0.372911, 0.034073, -0.612181, 0.010951], "network.4.weight": [[0.67975, 0.216566, 0.138799, 0.094302, 0.432552, 0.001565, 0.513643], [0.157767, 0.222928, 0.705915, 0.238369, 0.472003, -0.166515, 0.580346], [0.589554, 0.211176, 0.680647, 0.063531, 0.261033, 0.328102, -0.333364], [0.429074, 0.239133, 0.475153, 0.118242, -0.078291, 0.094966, 0.028964], [-0.127506, 0.310607, 0.763662, 0.706179, -0.741667, 0.084085, 0.100953], [-0.163319, -0.056335, -0.230219, 0.483836, 0.007055, 0.423675, -0.416276], [-0.419917, -0.130386, 0.53257, 0.583175, -0.286475, 0.33745, -0.065669]], "network.4.bias": [-0.136231, -0.538589, -0.130848, -0.0018, -0.724659, -0.163714, -0.656885], "network.6.weight": [[-0.162361, -0.243399, -0.14724, -0.614946, 0.655765, -0.213584, 0.028485], [0.509468, 0.550078, 0.214423, -0.24887, 0.11393, 0.254269, 0.224807], [-0.702758, -0.09739, 0.36154, -0.068075, 0.831249, -0.285079, 0.015369], [0.075256, 0.329797, 0.262258, 0.198862, 0.357814, 0.399219, 0.572613], [-0.470128, -0.138262, 0.139422, 0.153759, 0.066248, -0.112471, 0.775577], [-0.427622, -0.420901, -0.261729, -0.235785, -0.765248, 0.10294, -0.741651], [0.487009, 0.485832, 0.484106, 0.356791, 0.147048, -0.185223, 0.002433]], "network.6.bias": [-0.668659, -0.409498, -0.903822, -0.490022, -0.59975, 0.813777, -0.423728], "network.8.weight": [[0.390316, 0.008457, 0.755714, 0.838812, 0.312878, 0.029639, -0.272522], [0.219348, 0.321206, 0.442884, -0.174753, 0.338575, -0.261648, 0.42646], [-0.235425, -0.274465, -0.764718, -0.56649, -0.046529, 1.050591, -0.751043], [-0.366801, -0.1184, -0.980522, -0.326853, -0.167312, 0.349178, -0.394239], [-0.512142, -0.794803, -1.050323, -0.741663, -0.405619, 0.678026, -1.305591], [0.628626, 0.45793, 0.417236, 0.486902, 0.576137, -0.078316, 0.23891], [0.673269, 0.201739, 0.894145, 0.272298, 0.559552, -0.130768, 0.365687]], "network.8.bias": [-0.167163, -0.39618, 0.725707, 0.754042, 0.950979, -0.188706, -0.205965], "network.10.weight": [[0.002946, 0.400604, -0.322393, -0.487566, 0.713216, 0.398049, 0.323839], [0.270384, -0.454422, 0.622498, 0.81821, 1.314153, -0.418127, -0.129086], [0.022341, -0.23032, 0.815956, 0.536509, 1.216507, -0.185713, -0.392553], [-0.49441, -0.019067, 0.645152, -0.009313, 0.751027, -0.152734, 0.035269], [-0.17278, 0.288653, 0.387522, -0.160294, 0.258984, -0.340991, -0.426747], [0.213195, -0.21571, 1.176403, 0.534918, 0.681778, -0.230245, 0.04125], [-0.04261, 0.154182, 0.293276, 0.135025, 0.894011, -0.518251, 0.077135]], "network.10.bias": [-0.109826, 0.278141, 0.642799, 0.155714, 0.142386, 0.563006, 0.492862], "network.12.weight": [[0.419669, -0.779135, -0.891221, -0.052807, 0.186049, -0.738067, -0.293855]], "network.12.bias": [-0.421896]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845620572566986, "train_acc": 0.595, "val_loss": 0.7463005185127258, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741257309913635, "train_acc": 0.595, "val_loss": 0.7278268337249756, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6667480170726776, "train_acc": 0.595, "val_loss": 0.6657368540763855, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5713185667991638, "train_acc": 0.705, "val_loss": 0.6049469709396362, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5174375474452972, "train_acc": 0.75, "val_loss": 0.547045886516571, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4357205033302307, "train_acc": 0.785, "val_loss": 0.5137634873390198, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4054561108350754, "train_acc": 0.84, "val_loss": 0.5081397294998169, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.38523438572883606, "train_acc": 0.82, "val_loss": 0.5676876902580261, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.40015099942684174, "train_acc": 0.81, "val_loss": 0.6135961413383484, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.37423691153526306, "train_acc": 0.825, "val_loss": 0.5009018182754517, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.322517991065979, "train_acc": 0.86, "val_loss": 0.47490227222442627, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31640100479125977, "train_acc": 0.875, "val_loss": 0.45759668946266174, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.25548265874385834, "train_acc": 0.89, "val_loss": 0.5085294246673584, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7463005185127258, "final_val_loss": 0.6657368540763855, "initial_val_acc": 0.4, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6049469709396362, "final_val_loss": 0.5085294246673584, "initial_val_acc": 0.74, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 11}, "improvement": 0.34, "first_improvement_epoch": 2}}
|
25
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2749, "learning_rate": 0.05070072171233657, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
[
-1.092539,
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],
[
-0.241327,
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0.439147
],
[
0.987324,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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[
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[
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[
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[
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[
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[
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"network.4.weight": [
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"network.4.bias": [
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"network.6.weight": [
[
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"network.8.weight": [
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[27.286374, 29.464504, 35.281936, 37.227472, 98.144749], [25.394247, 27.780361, 28.641573, 36.485065, 41.926414], [32.280683, 33.753594, 39.892151, 42.956705, 45.659438], [26.785319, 27.490698, 28.807556, 37.419234, 151.243590], [40.220230, 41.369010, 42.521787, 52.579195, 71.585768], [22.500741, 22.934815, 24.210787, 28.594542, 123.452103], [43.105405, 48.204817, 52.720120, 55.301993, 230.486888], [50.817034, 56.006008, 62.258546, 64.535161, 303.033413]]
### 2
fourier: [[69.850981, 71.207072, 75.008476, 76.412387, 368.686889], [28.252898, 28.743189, 31.238215, 32.117686, 38.698408], [36.083186, 36.539373, 37.214467, 41.228976, 216.461678], [68.944388, 70.660205, 71.081178, 75.985262, 383.914812], [81.096519, 81.896261, 83.992446, 86.862503, 375.430989], [60.480813, 61.149752, 61.628945, 62.598156, 334.417723], [14.010653, 15.573256, 18.048396, 19.163426, 113.884984], [23.837839, 26.129654, 26.411055, 26.561197, 100.961955]]
### 4
fourier: [[110.531489, 113.004698, 116.283079, 119.262568, 471.044305], [52.811020, 53.031223, 53.374859, 54.175910, 328.833372], [3.440588, 3.661319, 3.930826, 5.115214, 44.990222], [48.750997, 49.407158, 50.701319, 52.537318, 234.213482], [53.619941, 54.657479, 57.690606, 58.480546, 289.337792], [74.101220, 76.855881, 77.559789, 79.662661, 316.025725], [4.592291, 5.236103, 5.753666, 6.754462, 128.980014], [80.799025, 82.712297, 86.248774, 87.914818, 371.301383]]
### 6
fourier: [[176.709926, 186.133476, 192.224675, 192.449002, 747.516626], [56.835285, 61.233035, 61.395474, 61.640199, 125.300078], [79.081571, 82.855238, 85.543424, 85.770496, 389.063333], [49.229201, 50.553710, 52.550948, 53.023091, 256.028274], [14.928985, 15.922869, 16.255977, 17.786287, 91.395739], [166.235087, 174.867773, 180.948091, 181.101813, 710.369248], [31.845777, 32.707843, 34.083164, 34.431567, 166.564272], [6.505788, 6.817163, 7.024104, 8.673736, 105.626138]]
### 8
fourier: [[264.618236, 282.390777, 287.227147, 288.396976, 916.058520]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.439147
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[
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],
[
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-0.18278
]
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[27.286374, 29.464504, 35.281936, 37.227472, 98.144749], [25.394247, 27.780361, 28.641573, 36.485065, 41.926414], [32.280683, 33.753594, 39.892151, 42.956705, 45.659438], [26.785319, 27.490698, 28.807556, 37.419234, 151.243590], [40.220230, 41.369010, 42.521787, 52.579195, 71.585768], [22.500741, 22.934815, 24.210787, 28.594542, 123.452103], [43.105405, 48.204817, 52.720120, 55.301993, 230.486888], [50.817034, 56.006008, 62.258546, 64.535161, 303.033413]]
### 2
fourier: [[69.850981, 71.207072, 75.008476, 76.412387, 368.686889], [28.252898, 28.743189, 31.238215, 32.117686, 38.698408], [36.083186, 36.539373, 37.214467, 41.228976, 216.461678], [68.944388, 70.660205, 71.081178, 75.985262, 383.914812], [81.096519, 81.896261, 83.992446, 86.862503, 375.430989], [60.480813, 61.149752, 61.628945, 62.598156, 334.417723], [14.010653, 15.573256, 18.048396, 19.163426, 113.884984], [23.837839, 26.129654, 26.411055, 26.561197, 100.961955]]
### 4
fourier: [[110.531489, 113.004698, 116.283079, 119.262568, 471.044305], [52.811020, 53.031223, 53.374859, 54.175910, 328.833372], [3.440588, 3.661319, 3.930826, 5.115214, 44.990222], [48.750997, 49.407158, 50.701319, 52.537318, 234.213482], [53.619941, 54.657479, 57.690606, 58.480546, 289.337792], [74.101220, 76.855881, 77.559789, 79.662661, 316.025725], [4.592291, 5.236103, 5.753666, 6.754462, 128.980014], [80.799025, 82.712297, 86.248774, 87.914818, 371.301383]]
### 6
fourier: [[176.709926, 186.133476, 192.224675, 192.449002, 747.516626], [56.835285, 61.233035, 61.395474, 61.640199, 125.300078], [79.081571, 82.855238, 85.543424, 85.770496, 389.063333], [49.229201, 50.553710, 52.550948, 53.023091, 256.028274], [14.928985, 15.922869, 16.255977, 17.786287, 91.395739], [166.235087, 174.867773, 180.948091, 181.101813, 710.369248], [31.845777, 32.707843, 34.083164, 34.431567, 166.564272], [6.505788, 6.817163, 7.024104, 8.673736, 105.626138]]
### 8
fourier: [[264.618236, 282.390777, 287.227147, 288.396976, 916.058520]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.393447, 0.698395, -0.478633, 0.004947, -0.057013], [0.760616, -0.36822, 0.130598, -0.04154, -0.101783], [0.910663, -0.221948, 0.251714, -0.181987, -0.021332], [-0.321754, -0.248995, -0.462226, 0.213734, -0.283409], [-1.092539, -0.096648, 0.131084, 0.211793, -0.294837], [-0.241327, -0.320451, -0.237415, -0.289236, 0.439147], [0.987324, 0.068459, 0.50143, 0.292857, 0.190821], [1.010681, 0.883658, 0.268544, 0.342475, -0.18278]], "network.0.bias": [0.387763, 0.132091, -0.360766, 0.030381, 0.375955, 0.08713, -0.703246, -0.570867], "network.2.weight": [[0.618146, 0.676371, 0.390981, 0.18604, 0.227608, -0.338562, 0.214664, 0.556353], [-0.33895, -0.282158, -0.545055, -0.379699, 0.443399, 0.269292, -0.075814, 0.025592], [-0.280717, -0.178094, -0.287021, -0.081871, 0.214518, -0.227722, -0.389106, -0.055849], [-0.03444, -0.446774, -0.05934, 0.206612, -0.291736, 0.036549, -0.754425, -0.507549], [0.89929, 0.583644, 0.526018, 0.407438, -0.181708, -0.21367, 0.381189, 0.483086], [0.462653, 0.372466, 0.143637, 0.011533, -0.079641, -0.32181, 0.346177, 0.502733], [-0.222595, 0.47595, -0.060643, -0.024662, -0.436002, -0.373594, -0.322559, -0.079886], [0.560078, 0.05781, 0.268572, 0.033055, 0.156822, -0.249988, 0.348772, -0.157754]], "network.2.bias": [-0.16586, 0.825482, -0.472945, 0.04704, -0.539994, 0.106868, 0.049446, -0.33013], "network.4.weight": [[0.412594, -0.449104, -0.022512, 0.274365, 0.620547, 0.348108, -0.128507, 0.383811], [0.049729, -0.516003, 0.032097, 0.621577, -0.223385, -0.547834, -0.085468, -0.307057], [-0.246173, -0.110241, -0.151731, 0.038765, 0.179048, 0.019005, -0.044361, 0.187832], [0.293738, -0.377977, 0.220886, -0.246679, 0.081359, 0.360799, -0.275587, -0.074353], [-0.451303, -0.228649, 0.02954, -0.017151, -0.129532, -0.07628, 0.429001, -0.374551], [-0.023018, -0.330268, -0.060387, -0.110288, 0.453838, 0.465014, -0.156209, 0.437564], [-0.052226, 0.452954, -0.272287, -0.520013, -0.079003, 0.370097, 0.051817, -0.247415], [0.491522, -0.135537, -0.122706, 0.217702, 0.518958, -0.068016, -0.08418, 0.361589]], "network.4.bias": [-0.567092, -0.274313, -0.470818, -0.008916, 0.005137, -0.358786, 0.657034, -0.159326], "network.6.weight": [[0.633931, 0.284381, 0.054631, 0.220879, 0.039426, 0.691654, -0.316849, 0.648373], [-0.175113, 0.37996, -0.230742, -0.01348, 0.110469, -0.49932, 0.611793, -0.047638], [-0.161925, -0.219256, 0.20971, -0.489614, 0.19124, -0.383649, 0.128687, -0.150589], [0.014364, -0.053166, 0.101006, -0.396337, 0.297334, -0.165545, 0.001767, -0.249296], [-0.256497, -0.037452, 0.042639, 0.282725, -0.012937, 0.085136, 0.803206, -0.115808], [0.712511, 0.075349, -0.156074, 0.294463, -0.146071, 0.493664, -0.243684, 0.542937], [-0.272665, -0.220801, -0.030951, 0.271713, 0.278929, -0.015306, -0.102133, -0.176594], [-0.238687, 0.256095, 0.057002, 0.241622, -0.098632, -0.28253, 0.603014, 0.331592]], "network.6.bias": [-0.413297, 0.704281, -0.342481, -0.250025, 0.673777, -0.394681, -0.164587, 0.596058], "network.8.weight": [[-0.648375, 0.532094, -0.254007, 0.190915, 0.685017, -0.834485, 0.100216, 0.483263]], "network.8.bias": [0.400621]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6743853688240051, "train_acc": 0.485, "val_loss": 0.6503248810768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5935457646846771, "train_acc": 0.56, "val_loss": 0.5797752737998962, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5452567934989929, "train_acc": 0.6, "val_loss": 0.44595420360565186, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4065507799386978, "train_acc": 0.81, "val_loss": 0.3625273108482361, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.319083571434021, "train_acc": 0.89, "val_loss": 0.32096627354621887, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.30418626219034195, "train_acc": 0.9, "val_loss": 0.5006678104400635, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3112911954522133, "train_acc": 0.865, "val_loss": 0.30552855134010315, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.27952052652835846, "train_acc": 0.885, "val_loss": 0.24066945910453796, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21321241557598114, "train_acc": 0.915, "val_loss": 0.22269755601882935, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23260008543729782, "train_acc": 0.91, "val_loss": 0.18831491470336914, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.19761506468057632, "train_acc": 0.93, "val_loss": 0.1710350215435028, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1576041243970394, "train_acc": 0.955, "val_loss": 0.1699535995721817, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6503248810768127, "final_val_loss": 0.5797752737998962, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.44595420360565186, "final_val_loss": 0.1699535995721817, "initial_val_acc": 0.8, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
26
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9304, "learning_rate": 0.04983236602447656, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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],
[
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[
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],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
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[
0.06408,
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[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
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"network.6.weight": [
[
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"network.10.weight": [
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}
## Activation Signature
### 0
fourier: [[44.118945, 44.229817, 45.945040, 46.109816, 86.732010], [32.617577, 34.885570, 37.265564, 42.138696, 109.736072], [38.180660, 38.853679, 43.791009, 45.531345, 181.494583], [46.298061, 46.760356, 47.474243, 47.659244, 180.171863], [21.342644, 23.879031, 24.895360, 25.761210, 48.451476]]
### 2
fourier: [[67.453579, 69.735143, 70.206822, 75.078971, 234.123094], [74.534778, 75.204834, 80.075496, 92.794139, 326.269312], [32.557152, 33.889577, 35.159341, 40.298098, 120.644236], [15.749766, 15.792132, 16.489890, 17.696226, 23.432863], [45.582971, 47.276434, 47.882511, 51.190935, 136.888021]]
### 4
fourier: [[176.875406, 182.848092, 183.675284, 201.819530, 688.862150], [26.943403, 27.070263, 29.028744, 29.509805, 30.130396], [51.526084, 52.633411, 52.879792, 57.383020, 143.682211], [52.497101, 53.502012, 53.707177, 57.917297, 121.827904], [85.045154, 87.831676, 88.362577, 99.422144, 357.151108]]
### 6
fourier: [[151.374463, 152.645273, 157.813088, 176.884816, 580.713597], [170.179387, 170.303985, 174.092362, 199.291661, 661.153855], [19.149418, 20.095384, 20.234699, 20.555137, 23.683394], [32.088200, 33.022621, 33.856664, 38.904339, 105.764559], [18.608982, 18.741724, 19.144811, 20.765908, 49.241511]]
### 8
fourier: [[185.134585, 187.755365, 192.394945, 216.216307, 680.353706], [250.805863, 251.350508, 259.123711, 295.602850, 962.457304], [44.836006, 45.470370, 46.867094, 52.422767, 137.111046], [22.038893, 22.614094, 23.144147, 25.640480, 96.244338], [69.794782, 71.500548, 72.318017, 81.031460, 266.581990]]
### 10
fourier: [[233.415773, 235.047907, 241.062949, 272.763525, 867.240818]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.856283,
0.347703,
0.228441,
0.112821,
-1.113639
],
[
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0.306394,
0.277181,
0.327228,
0.594047
],
[
1.089369,
0.245502,
0.007656,
0.042006,
-0.464988
],
[
1.172474,
0.480641,
-0.013096,
0.091463,
-0.056361
],
[
0.514481,
-0.292776,
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[44.118945, 44.229817, 45.945040, 46.109816, 86.732010], [32.617577, 34.885570, 37.265564, 42.138696, 109.736072], [38.180660, 38.853679, 43.791009, 45.531345, 181.494583], [46.298061, 46.760356, 47.474243, 47.659244, 180.171863], [21.342644, 23.879031, 24.895360, 25.761210, 48.451476]]
### 2
fourier: [[67.453579, 69.735143, 70.206822, 75.078971, 234.123094], [74.534778, 75.204834, 80.075496, 92.794139, 326.269312], [32.557152, 33.889577, 35.159341, 40.298098, 120.644236], [15.749766, 15.792132, 16.489890, 17.696226, 23.432863], [45.582971, 47.276434, 47.882511, 51.190935, 136.888021]]
### 4
fourier: [[176.875406, 182.848092, 183.675284, 201.819530, 688.862150], [26.943403, 27.070263, 29.028744, 29.509805, 30.130396], [51.526084, 52.633411, 52.879792, 57.383020, 143.682211], [52.497101, 53.502012, 53.707177, 57.917297, 121.827904], [85.045154, 87.831676, 88.362577, 99.422144, 357.151108]]
### 6
fourier: [[151.374463, 152.645273, 157.813088, 176.884816, 580.713597], [170.179387, 170.303985, 174.092362, 199.291661, 661.153855], [19.149418, 20.095384, 20.234699, 20.555137, 23.683394], [32.088200, 33.022621, 33.856664, 38.904339, 105.764559], [18.608982, 18.741724, 19.144811, 20.765908, 49.241511]]
### 8
fourier: [[185.134585, 187.755365, 192.394945, 216.216307, 680.353706], [250.805863, 251.350508, 259.123711, 295.602850, 962.457304], [44.836006, 45.470370, 46.867094, 52.422767, 137.111046], [22.038893, 22.614094, 23.144147, 25.640480, 96.244338], [69.794782, 71.500548, 72.318017, 81.031460, 266.581990]]
### 10
fourier: [[233.415773, 235.047907, 241.062949, 272.763525, 867.240818]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.856283, 0.347703, 0.228441, 0.112821, -1.113639], [-0.88658, 0.306394, 0.277181, 0.327228, 0.594047], [1.089369, 0.245502, 0.007656, 0.042006, -0.464988], [1.172474, 0.480641, -0.013096, 0.091463, -0.056361], [0.514481, -0.292776, 0.210451, 0.271086, -0.577457]], "network.0.bias": [-0.081138, -0.249109, 0.681001, -0.432274, 0.12287], "network.2.weight": [[0.611821, -0.505166, 0.753849, 0.335769, 0.022408], [0.859088, -0.276004, 0.75006, 0.386626, 0.442617], [0.06408, -0.027986, -0.038935, -0.535437, -0.787444], [-0.214141, 0.415547, -0.152072, 0.086623, 0.032506], [0.222848, -0.285092, 0.593721, 0.243479, 0.194652]], "network.2.bias": [0.248667, 0.157444, 0.334497, 0.05346, -0.210926], "network.4.weight": [[1.136999, 0.77435, -0.005273, -0.478044, 0.953788], [0.034736, 0.066107, 0.103299, 0.346856, -0.756664], [-0.133264, -0.103275, 0.491857, 0.005239, -0.77171], [-0.063719, -0.08034, 0.522216, -0.011804, -0.930763], [0.508223, 0.490666, -0.382672, -0.264417, 0.321417]], "network.4.bias": [0.2235, 0.492915, 0.440339, 0.676107, 0.30918], "network.6.weight": [[0.621317, 0.413435, -1.079553, -0.536729, 0.480291], [0.615318, -0.489238, -0.549871, -0.877141, 0.671802], [-0.125943, 0.397267, 0.126976, 0.149137, 0.046961], [-0.361342, -0.184234, 0.490246, 0.58571, 0.371364], [-0.298506, 0.095685, 0.191197, 0.016844, 0.404209]], "network.6.bias": [-0.149808, 0.352853, 0.41885, 0.028233, 0.111261], "network.8.weight": [[-0.900176, -0.288166, 0.094141, 0.289688, -0.134682], [0.772196, 0.783337, -0.559592, -0.874689, -0.245106], [-0.180529, -0.105453, -0.10956, 0.240798, -0.106112], [-0.103837, -0.038784, -0.058343, 0.090457, -0.148083], [0.221741, 0.211731, -0.244201, 0.243822, 0.425529]], "network.8.bias": [0.468061, -0.06298, 0.46975, -0.084535, -0.039872], "network.10.weight": [[0.090987, -0.892957, 0.150269, 0.212636, -0.136376]], "network.10.bias": [0.489506]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.721134215593338, "train_acc": 0.435, "val_loss": 0.684816837310791, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6696853935718536, "train_acc": 0.555, "val_loss": 0.6676910519599915, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.652002215385437, "train_acc": 0.565, "val_loss": 0.6185339093208313, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6549971997737885, "train_acc": 0.57, "val_loss": 0.5679414868354797, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5864589512348175, "train_acc": 0.73, "val_loss": 0.495037317276001, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5268747508525848, "train_acc": 0.72, "val_loss": 0.4467005133628845, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5001599192619324, "train_acc": 0.74, "val_loss": 0.43979567289352417, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4955042153596878, "train_acc": 0.75, "val_loss": 0.430120050907135, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4665586054325104, "train_acc": 0.75, "val_loss": 0.41188347339630127, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.46456006169319153, "train_acc": 0.765, "val_loss": 0.4057709872722626, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4666583836078644, "train_acc": 0.765, "val_loss": 0.4275608956813812, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4683964252471924, "train_acc": 0.77, "val_loss": 0.4240877628326416, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.4533952474594116, "train_acc": 0.77, "val_loss": 0.4321429431438446, "val_acc": 0.8}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.684816837310791, "final_val_loss": 0.6185339093208313, "initial_val_acc": 0.56, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5679414868354797, "final_val_loss": 0.4321429431438446, "initial_val_acc": 0.76, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 9}, "improvement": 0.29999999999999993, "first_improvement_epoch": 2}}
|
27
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.68, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9762, "learning_rate": 0.031389579657191864, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[16.684859, 17.093626, 19.418972, 20.634079, 141.818104], [13.783651, 13.930730, 14.197787, 15.693071, 117.940814], [16.246787, 19.118369, 22.202474, 24.317176, 85.930352], [20.793091, 21.050745, 23.108316, 23.402002, 25.602606], [12.675319, 13.480643, 14.483740, 17.030171, 17.623728], [22.179044, 22.343936, 22.397284, 27.344184, 188.706604], [30.461914, 31.929363, 33.793645, 40.119803, 263.636271]]
### 2
fourier: [[5.787291, 6.886843, 7.053395, 9.606253, 15.928423], [4.261471, 4.308372, 4.359950, 5.555719, 41.324912], [5.637468, 6.622563, 6.839793, 8.543531, 20.680527], [7.441206, 8.339877, 9.123676, 9.701799, 23.885586], [6.109275, 6.291458, 7.262780, 8.720986, 19.355831], [8.394717, 9.413354, 9.430029, 11.707350, 23.497684], [3.315387, 3.503224, 3.627819, 3.883352, 68.494138]]
### 4
fourier: [[4.984341, 5.216478, 6.143152, 7.009876, 16.296182], [2.885507, 3.140097, 3.666213, 4.069134, 14.047697], [6.697255, 6.985830, 8.390455, 8.700261, 26.723764], [8.061172, 8.256176, 10.855642, 11.766504, 31.408647], [7.541508, 7.730096, 9.606870, 10.314147, 22.481038], [4.599245, 4.605360, 4.674274, 5.806193, 6.354146], [4.020403, 4.477477, 5.359666, 6.104829, 24.905959]]
### 6
fourier: [[4.321616, 4.384832, 4.478952, 6.009929, 6.294845], [7.438170, 7.895355, 10.605816, 10.750544, 12.980642], [5.961797, 6.055663, 6.098115, 8.494053, 8.682020], [3.153628, 3.312208, 4.438137, 4.575864, 41.143106], [6.967432, 7.002627, 7.091154, 9.731806, 10.084057], [7.848844, 8.286424, 11.300704, 11.372302, 29.741099], [8.993280, 9.463858, 12.753817, 13.033174, 51.020354]]
### 8
fourier: [[13.026527, 13.475904, 18.082130, 18.276207, 63.645169], [9.149034, 9.498029, 10.254556, 12.678250, 12.840192], [10.407689, 10.746118, 14.423787, 14.584495, 18.061856], [9.560311, 10.353986, 10.636713, 14.236730, 14.429972], [14.285562, 14.765518, 19.773808, 20.065137, 36.940496], [1.209725, 1.226366, 1.662939, 1.706313, 36.855369], [13.380771, 13.903208, 18.525517, 18.838686, 22.249392]]
### 10
fourier: [[4.951549, 5.036771, 6.819593, 7.061454, 26.512515], [9.604416, 10.259940, 10.374694, 14.286039, 14.526178], [12.933631, 13.335848, 17.975814, 18.152178, 46.017494], [11.380321, 11.843509, 11.898776, 16.374465, 16.793346], [3.553224, 3.814099, 5.030759, 5.166271, 14.425891], [12.586192, 12.917838, 17.333571, 17.546439, 27.007058], [12.250375, 13.374377, 13.649820, 18.647534, 18.676374]]
### 12
fourier: [[11.835274, 11.896085, 12.003412, 16.266964, 16.914864]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.684859, 17.093626, 19.418972, 20.634079, 141.818104], [13.783651, 13.930730, 14.197787, 15.693071, 117.940814], [16.246787, 19.118369, 22.202474, 24.317176, 85.930352], [20.793091, 21.050745, 23.108316, 23.402002, 25.602606], [12.675319, 13.480643, 14.483740, 17.030171, 17.623728], [22.179044, 22.343936, 22.397284, 27.344184, 188.706604], [30.461914, 31.929363, 33.793645, 40.119803, 263.636271]]
### 2
fourier: [[5.787291, 6.886843, 7.053395, 9.606253, 15.928423], [4.261471, 4.308372, 4.359950, 5.555719, 41.324912], [5.637468, 6.622563, 6.839793, 8.543531, 20.680527], [7.441206, 8.339877, 9.123676, 9.701799, 23.885586], [6.109275, 6.291458, 7.262780, 8.720986, 19.355831], [8.394717, 9.413354, 9.430029, 11.707350, 23.497684], [3.315387, 3.503224, 3.627819, 3.883352, 68.494138]]
### 4
fourier: [[4.984341, 5.216478, 6.143152, 7.009876, 16.296182], [2.885507, 3.140097, 3.666213, 4.069134, 14.047697], [6.697255, 6.985830, 8.390455, 8.700261, 26.723764], [8.061172, 8.256176, 10.855642, 11.766504, 31.408647], [7.541508, 7.730096, 9.606870, 10.314147, 22.481038], [4.599245, 4.605360, 4.674274, 5.806193, 6.354146], [4.020403, 4.477477, 5.359666, 6.104829, 24.905959]]
### 6
fourier: [[4.321616, 4.384832, 4.478952, 6.009929, 6.294845], [7.438170, 7.895355, 10.605816, 10.750544, 12.980642], [5.961797, 6.055663, 6.098115, 8.494053, 8.682020], [3.153628, 3.312208, 4.438137, 4.575864, 41.143106], [6.967432, 7.002627, 7.091154, 9.731806, 10.084057], [7.848844, 8.286424, 11.300704, 11.372302, 29.741099], [8.993280, 9.463858, 12.753817, 13.033174, 51.020354]]
### 8
fourier: [[13.026527, 13.475904, 18.082130, 18.276207, 63.645169], [9.149034, 9.498029, 10.254556, 12.678250, 12.840192], [10.407689, 10.746118, 14.423787, 14.584495, 18.061856], [9.560311, 10.353986, 10.636713, 14.236730, 14.429972], [14.285562, 14.765518, 19.773808, 20.065137, 36.940496], [1.209725, 1.226366, 1.662939, 1.706313, 36.855369], [13.380771, 13.903208, 18.525517, 18.838686, 22.249392]]
### 10
fourier: [[4.951549, 5.036771, 6.819593, 7.061454, 26.512515], [9.604416, 10.259940, 10.374694, 14.286039, 14.526178], [12.933631, 13.335848, 17.975814, 18.152178, 46.017494], [11.380321, 11.843509, 11.898776, 16.374465, 16.793346], [3.553224, 3.814099, 5.030759, 5.166271, 14.425891], [12.586192, 12.917838, 17.333571, 17.546439, 27.007058], [12.250375, 13.374377, 13.649820, 18.647534, 18.676374]]
### 12
fourier: [[11.835274, 11.896085, 12.003412, 16.266964, 16.914864]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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"activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.083341, -0.233052, -0.11707, -0.30625, -0.069698], [-0.121913, 0.121457, 0.207127, 0.32084, -0.26148], [0.15188, 0.045981, 0.477986, -0.152857, -0.048941], [-0.61096, 0.430516, 0.313413, -0.420071, 0.312987], [-0.273789, 0.393997, -0.021705, -0.381202, 0.120512], [-0.191883, -0.177149, -0.406711, -0.406326, 0.324587], [0.115156, -0.144763, -0.702992, -0.019227, -0.608477]], "network.0.bias": [-0.060128, 0.44265, 0.071683, -0.227919, 0.222236, -0.214554, -0.548648], "network.2.weight": [[-0.023995, 0.013212, -0.304993, 0.1346, 0.297914, 0.364555, -0.54413], [-0.304987, -0.234831, 0.199757, -0.049375, 0.022186, -0.250592, -0.26809], [-0.025531, -0.045562, 0.1664, -0.17882, -0.524491, 0.105572, 0.642593], [-0.217438, 0.262531, -0.116867, 0.354446, 0.409575, 0.471492, -0.632716], [0.12458, 0.301678, -0.21938, 0.301693, 0.04026, 0.234267, -0.777676], [-0.330551, 0.094042, -0.455198, -0.178873, 0.10804, 0.099917, -0.363188], [0.33322, -0.205522, -0.098124, 0.247971, -0.125421, 0.22811, 0.24289]], "network.2.bias": [0.327023, 0.528353, 0.328287, -0.195288, -0.104746, 0.066136, -0.445838], "network.4.weight": [[-0.224098, 0.377946, -0.128171, -0.527544, -0.199709, -0.208853, -0.047547], [0.070523, -0.206923, 0.051628, -0.390816, -0.27865, 0.13377, -0.079141], [-0.537175, -0.131295, 0.466527, -0.415106, -0.345088, -0.251396, -0.063877], [-0.233874, 0.366552, 0.571159, -0.45501, -0.581549, -0.339339, -0.411476], [-0.490443, 0.210482, 0.102829, -0.546715, -0.549766, -0.332972, -0.039441], [-0.304326, 0.107327, 0.283907, -0.234607, -0.387322, 0.251738, 0.102272], [-0.336806, 0.229828, 0.202787, -0.41802, 0.241229, -0.569848, 0.040192]], "network.4.bias": [-0.099861, 0.336074, 0.484748, 0.299444, 0.453701, 0.119031, -0.283983], "network.6.weight": [[0.409059, 0.273186, 0.119159, -0.076261, 0.480146, 0.501525, 0.267569], [0.486741, 0.100745, 0.571349, 0.533255, 0.106097, 0.267088, 0.304119], [0.148867, -0.033645, 0.029507, 0.337897, 0.653909, 0.432942, 0.045425], [0.041298, 0.121744, 0.085323, -0.033988, 0.430021, 0.314617, 0.291833], [0.464418, 0.375716, 0.154685, 0.489085, 0.543194, -0.033713, 0.165763], [0.419426, -0.088434, 0.498231, 0.341079, 0.699364, 0.020919, 0.3356], [0.492469, 0.217423, 0.558417, 0.423522, 0.560115, 0.339201, 0.310789]], "network.6.bias": [-0.13961, -0.157043, -0.270423, 0.351086, -0.30577, 0.001024, 0.185827], "network.8.weight": [[0.209963, 0.311241, 0.294292, 0.278176, 0.451802, 0.287609, 0.574346], [-0.012657, 0.471816, 0.257718, 0.128868, 0.067076, 0.171806, 0.438893], [0.484409, 0.233, 0.256265, -0.076112, 0.253155, 0.243548, 0.509984], [-0.553133, -0.624348, -0.336242, 0.147279, -0.175142, 0.026408, -0.465846], [-0.40454, -0.298051, -0.59892, -0.154503, -0.590631, -0.547325, -0.301198], [0.015786, -0.117297, 0.365856, -0.094172, 0.051265, 0.063815, 0.004597], [-0.027025, -0.444835, -0.152225, 0.42029, -0.509786, -0.617206, -0.584781]], "network.8.bias": [0.148373, -0.285637, -0.175559, 0.383467, 0.080431, -0.404961, 0.201137], "network.10.weight": [[-0.048367, -0.225184, -0.112692, 0.076715, 0.293999, 0.209058, 0.553476], [-0.096625, -0.099928, -0.538707, 0.691141, 0.021507, -0.121235, 0.680542], [0.447319, 0.227932, 0.420449, -0.30555, -0.192944, 0.028828, -0.336453], [-0.034719, -0.312724, -0.524797, 0.767066, 0.502459, -0.390995, 0.657541], [0.179319, -0.131324, 0.201738, -0.289502, 0.045681, 0.164816, 0.187738], [0.339241, 0.347781, 0.477684, -0.152033, -0.419018, 0.024045, -0.24555], [-0.287614, -0.498424, -0.325944, 0.594166, 0.293705, -0.474637, 0.416995]], "network.10.bias": [0.355456, -0.014735, 0.177794, -0.004927, -0.24264, -0.027349, 0.006802], "network.12.weight": [[0.360227, 0.152375, -0.172833, 0.572994, -0.105777, -0.39815, 0.418798]], "network.12.bias": [0.056914]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849014759063721, "train_acc": 0.56, "val_loss": 0.699297308921814, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866418719291687, "train_acc": 0.56, "val_loss": 0.6972241997718811, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6838003993034363, "train_acc": 0.56, "val_loss": 0.6891642808914185, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6748336553573608, "train_acc": 0.56, "val_loss": 0.6910244822502136, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6668629050254822, "train_acc": 0.56, "val_loss": 0.6363170742988586, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6479059457778931, "train_acc": 0.575, "val_loss": 0.5980748534202576, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.717752069234848, "train_acc": 0.67, "val_loss": 0.6226099133491516, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6062767803668976, "train_acc": 0.685, "val_loss": 0.6470855474472046, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.6691109538078308, "train_acc": 0.63, "val_loss": 0.6398471593856812, "val_acc": 0.68}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.699297308921814, "final_val_loss": 0.6363170742988586, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5980748534202576, "final_val_loss": 0.6398471593856812, "initial_val_acc": 0.62, "final_val_acc": 0.68, "best_val_acc": 0.68, "best_epoch": 7}, "improvement": 0.16000000000000003, "first_improvement_epoch": 4}}
|
28
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3215, "learning_rate": 0.02854826421987649, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[20.497391, 22.513129, 23.284432, 24.244486, 113.925654], [16.742698, 17.512780, 18.959674, 21.367821, 28.359430], [25.925570, 26.146183, 27.549945, 28.127643, 107.089113], [24.755129, 25.657421, 26.277539, 26.909376, 91.244781], [18.008270, 18.847115, 18.966420, 21.914803, 47.734015], [30.455294, 31.724177, 33.343137, 42.005191, 45.177552], [24.417922, 25.766920, 30.739358, 30.946512, 200.190435], [21.159482, 21.280248, 22.497332, 26.183634, 59.036943]]
### 2
fourier: [[23.941228, 25.169678, 25.690701, 27.098946, 92.462760], [20.789472, 22.204722, 22.947925, 23.471958, 25.257260], [8.814180, 9.019792, 10.099422, 10.587715, 96.612541], [24.296169, 26.349946, 27.121094, 30.616543, 223.030084], [32.719433, 33.651451, 34.726839, 34.942173, 150.294036], [19.905301, 20.568014, 20.814443, 25.849242, 112.120638], [6.829556, 7.202014, 7.234160, 7.410746, 7.771937], [42.365785, 42.896075, 45.359636, 45.923604, 173.159981]]
### 4
fourier: [[34.714420, 36.302813, 36.602353, 36.635578, 144.817654], [52.427859, 54.751404, 54.861265, 55.532817, 246.007320], [46.155124, 46.561519, 46.815872, 50.228406, 235.662301], [14.095766, 14.411655, 14.460573, 14.495087, 116.919668], [17.583064, 20.397278, 20.608048, 20.633989, 80.098010], [28.323923, 32.938215, 33.096406, 39.455791, 216.056274], [29.891062, 30.040128, 31.665431, 33.701460, 149.565120], [13.476362, 14.173853, 15.068642, 15.136800, 17.194278]]
### 6
fourier: [[69.696173, 70.725547, 75.367954, 75.841336, 289.033644], [14.422524, 15.098813, 18.548762, 19.674193, 24.092599], [13.677262, 13.820618, 15.019661, 16.949040, 17.051410], [49.581401, 51.149354, 56.782595, 58.987741, 198.319946], [18.716553, 19.248426, 22.908293, 24.515524, 25.358445], [66.891830, 67.505046, 67.731669, 69.423295, 309.403070], [75.174094, 78.077909, 78.856088, 79.376697, 305.163266], [22.714342, 23.056037, 24.691663, 27.279851, 30.122226]]
### 8
fourier: [[48.052824, 48.865574, 56.167261, 57.839507, 136.992909], [108.649748, 110.976817, 116.701749, 117.858781, 427.178727], [39.985837, 41.665983, 45.493695, 47.113010, 131.123901], [46.784177, 48.703905, 51.440482, 52.570006, 155.177054], [37.705841, 39.759162, 43.948560, 45.827009, 145.776610], [32.361257, 34.715634, 38.830828, 43.176982, 80.331199], [46.759154, 46.868796, 55.362023, 56.674085, 158.523536], [126.239802, 131.459881, 136.881547, 139.748132, 501.602604]]
### 10
fourier: [[108.346040, 114.527115, 119.466007, 123.850019, 411.807295]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.497391, 22.513129, 23.284432, 24.244486, 113.925654], [16.742698, 17.512780, 18.959674, 21.367821, 28.359430], [25.925570, 26.146183, 27.549945, 28.127643, 107.089113], [24.755129, 25.657421, 26.277539, 26.909376, 91.244781], [18.008270, 18.847115, 18.966420, 21.914803, 47.734015], [30.455294, 31.724177, 33.343137, 42.005191, 45.177552], [24.417922, 25.766920, 30.739358, 30.946512, 200.190435], [21.159482, 21.280248, 22.497332, 26.183634, 59.036943]]
### 2
fourier: [[23.941228, 25.169678, 25.690701, 27.098946, 92.462760], [20.789472, 22.204722, 22.947925, 23.471958, 25.257260], [8.814180, 9.019792, 10.099422, 10.587715, 96.612541], [24.296169, 26.349946, 27.121094, 30.616543, 223.030084], [32.719433, 33.651451, 34.726839, 34.942173, 150.294036], [19.905301, 20.568014, 20.814443, 25.849242, 112.120638], [6.829556, 7.202014, 7.234160, 7.410746, 7.771937], [42.365785, 42.896075, 45.359636, 45.923604, 173.159981]]
### 4
fourier: [[34.714420, 36.302813, 36.602353, 36.635578, 144.817654], [52.427859, 54.751404, 54.861265, 55.532817, 246.007320], [46.155124, 46.561519, 46.815872, 50.228406, 235.662301], [14.095766, 14.411655, 14.460573, 14.495087, 116.919668], [17.583064, 20.397278, 20.608048, 20.633989, 80.098010], [28.323923, 32.938215, 33.096406, 39.455791, 216.056274], [29.891062, 30.040128, 31.665431, 33.701460, 149.565120], [13.476362, 14.173853, 15.068642, 15.136800, 17.194278]]
### 6
fourier: [[69.696173, 70.725547, 75.367954, 75.841336, 289.033644], [14.422524, 15.098813, 18.548762, 19.674193, 24.092599], [13.677262, 13.820618, 15.019661, 16.949040, 17.051410], [49.581401, 51.149354, 56.782595, 58.987741, 198.319946], [18.716553, 19.248426, 22.908293, 24.515524, 25.358445], [66.891830, 67.505046, 67.731669, 69.423295, 309.403070], [75.174094, 78.077909, 78.856088, 79.376697, 305.163266], [22.714342, 23.056037, 24.691663, 27.279851, 30.122226]]
### 8
fourier: [[48.052824, 48.865574, 56.167261, 57.839507, 136.992909], [108.649748, 110.976817, 116.701749, 117.858781, 427.178727], [39.985837, 41.665983, 45.493695, 47.113010, 131.123901], [46.784177, 48.703905, 51.440482, 52.570006, 155.177054], [37.705841, 39.759162, 43.948560, 45.827009, 145.776610], [32.361257, 34.715634, 38.830828, 43.176982, 80.331199], [46.759154, 46.868796, 55.362023, 56.674085, 158.523536], [126.239802, 131.459881, 136.881547, 139.748132, 501.602604]]
### 10
fourier: [[108.346040, 114.527115, 119.466007, 123.850019, 411.807295]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.025072, 0.607083, -0.283911, 0.0247, 0.46296], [0.364933, 0.116757, -0.478202, 0.277328, -0.228787], [0.571378, 0.343142, -0.017186, -0.190327, 0.195754], [0.739948, 0.111165, -0.172821, 0.192177, -0.234157], [-0.31769, -0.246488, 0.200294, 0.217205, 0.416676], [0.809161, -0.227369, 0.246873, -0.542183, -0.068492], [0.045899, 0.690953, 0.232814, -0.025642, 0.303988], [-0.395797, 0.077097, 0.037771, 0.596411, 0.097543]], "network.0.bias": [0.159908, -0.155173, 0.056165, 0.128124, -0.023196, 0.178472, 0.101897, -0.470147], "network.2.weight": [[0.493169, 0.109204, 0.02029, 0.379341, -0.199053, -0.230126, 0.415637, -0.297259], [-0.338183, -0.569618, -0.047206, -0.488672, 0.193757, -0.166699, 0.314405, 0.40527], [0.169278, 0.119134, 0.024564, 0.183059, -0.261793, -0.227063, -0.218851, -0.238795], [0.167339, -0.214635, 0.224393, 0.090538, 0.382964, 0.177055, 0.506422, 0.239274], [0.211915, 0.079948, 0.469112, 0.331606, -0.294883, 0.157615, 0.381132, -0.126297], [-0.227806, 0.35028, -0.347296, 0.085604, -0.142386, 0.002422, -0.407122, 0.349273], [-0.200649, 0.261797, -0.251752, -0.273011, -0.191389, 0.11099, 0.286954, -0.194605], [-0.134103, 0.30212, 0.598668, 0.443584, -0.196512, 0.500463, 0.311305, 0.066392]], "network.2.bias": [-0.360482, 0.178608, -0.493046, 0.259427, -0.150156, -0.079103, 0.269195, -0.154156], "network.4.weight": [[0.300923, -0.261257, -0.445435, 0.141866, 0.314069, 0.079778, -0.251284, 0.351494], [0.544938, -0.370618, 0.076834, 0.056635, 0.608982, 0.000351, -0.635343, 0.446892], [0.498244, -0.276744, -0.085462, 0.279584, 0.372432, 0.156296, -0.372067, 0.406935], [-0.267435, 0.451545, -0.035655, 0.545856, 0.067919, -0.14658, -0.01489, -0.019579], [-0.181012, -0.472972, -0.414968, 0.308596, 0.11703, 0.222018, 0.087833, 0.236333], [-0.481839, 0.013885, -0.151571, -0.609839, -0.173858, 0.296669, 0.561058, -0.024116], [0.147906, 0.004544, -0.293319, 0.214247, 0.248967, 0.399857, -0.610548, 0.334617], [-0.219856, -0.025134, 0.154592, 0.328566, -0.309994, -0.305383, 0.414305, -0.121319]], "network.4.bias": [-0.14582, 0.3986, 0.186002, -0.026952, -0.143292, -0.132372, -0.043282, 0.212727], "network.6.weight": [[0.36271, 0.418625, 0.431211, -0.293088, 0.418883, 0.346023, 0.276007, -0.1051], [-0.430937, 0.014487, -0.258798, 0.405432, -0.277063, -0.083647, 0.474546, -0.04974], [0.360705, 0.225646, -0.432012, -0.06081, 0.62781, 0.066331, -0.047876, 0.130559], [0.112099, 0.365436, 0.301076, -0.363333, 0.384815, 0.131317, 0.253198, -0.493918], [-0.047114, -0.359188, 0.234449, 0.358294, -0.458428, -0.111855, -0.043357, 0.34749], [0.248884, 0.54499, 0.098128, 0.203108, 0.26919, -0.276674, 0.519081, -0.370109], [0.302963, 0.646738, 0.51132, 0.082864, 0.071389, 0.295796, 0.076547, -0.53915], [0.060949, -0.334015, 0.050075, 0.557283, -0.378797, 0.016294, -0.149863, 0.278626]], "network.6.bias": [0.040225, 0.023684, -0.348799, 0.135584, 0.084647, 0.123241, -0.238469, 0.204866], "network.8.weight": [[-0.33988, 0.512509, -0.425211, -0.216181, 0.191683, 0.36439, -0.435993, 0.150253], [0.399713, -0.322484, 0.17098, 0.4578, -0.292506, 0.552538, 0.232267, -0.062785], [-0.360993, 0.013092, -0.191094, -0.035258, 0.129434, -0.019525, -0.127453, 0.363769], [0.504505, 0.116812, -0.124385, 0.07611, -0.119426, 0.024238, 0.096438, -0.332335], [-0.313811, 0.374874, 0.088514, -0.307632, 0.263666, -0.110902, 0.080954, 0.161451], [0.046002, 0.537857, -0.08877, -0.552217, 0.600444, 0.166715, -0.187067, 0.485458], [-0.269228, 0.263882, -0.49505, -0.584737, 0.509256, 0.182322, -0.058301, 0.041275], [0.510049, -0.249381, -0.07158, 0.336782, -0.244996, 0.468512, 0.565921, -0.511475]], "network.8.bias": [0.263787, -0.134486, 0.178342, -0.318932, -0.009715, -0.06279, -0.030537, -0.051126], "network.10.weight": [[0.370533, -0.323388, 0.220149, -0.298388, 0.167403, 0.438832, 0.110175, -0.474022]], "network.10.bias": [-0.057168]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6829759180545807, "train_acc": 0.575, "val_loss": 0.7037037014961243, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6744235157966614, "train_acc": 0.575, "val_loss": 0.7070446610450745, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6695471405982971, "train_acc": 0.575, "val_loss": 0.6779962778091431, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6261855065822601, "train_acc": 0.575, "val_loss": 0.5972082018852234, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5797081291675568, "train_acc": 0.505, "val_loss": 0.5286884903907776, "val_acc": 0.6}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5064456164836884, "train_acc": 0.695, "val_loss": 0.41535449028015137, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.41082140803337097, "train_acc": 0.82, "val_loss": 0.4278787672519684, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.42526935040950775, "train_acc": 0.835, "val_loss": 0.43828803300857544, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5219276547431946, "train_acc": 0.795, "val_loss": 0.3871103525161743, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4257192313671112, "train_acc": 0.81, "val_loss": 0.34570416808128357, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3331581652164459, "train_acc": 0.88, "val_loss": 0.4763221740722656, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.400796577334404, "train_acc": 0.835, "val_loss": 0.4531101882457733, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.36400727927684784, "train_acc": 0.855, "val_loss": 0.3709252178668976, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7037037014961243, "final_val_loss": 0.5972082018852234, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5286884903907776, "final_val_loss": 0.3709252178668976, "initial_val_acc": 0.6, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
29
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{"target_pattern": "sorted_descending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4009, "learning_rate": 0.03724346377980019, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[21.123543, 25.154596, 25.567385, 28.027009, 84.203249], [24.494231, 25.330246, 25.604859, 28.612944, 87.425622], [32.900704, 32.983783, 35.525139, 40.691353, 219.146650], [22.884091, 24.247261, 27.495296, 30.212144, 35.698512], [19.864816, 20.008928, 21.883137, 22.913083, 43.094750], [23.138520, 25.062176, 25.876461, 26.854658, 127.479580], [12.210051, 12.661119, 12.930686, 15.551543, 72.962988]]
### 2
fourier: [[31.680859, 32.959911, 37.198748, 37.320181, 209.326847], [18.623002, 19.017789, 19.626763, 23.434715, 50.256717], [37.217674, 38.962533, 39.946912, 41.911381, 47.722012], [22.927926, 24.531162, 24.753604, 30.439289, 41.692261], [18.859149, 19.101150, 19.861394, 20.801679, 52.065718], [14.322067, 16.609476, 17.749407, 18.633824, 32.181823], [22.597015, 23.348539, 23.385738, 32.883033, 33.591709]]
### 4
fourier: [[29.246134, 29.730955, 32.211482, 43.028068, 65.742329], [33.165447, 36.566280, 40.952116, 41.095725, 74.136277], [22.311670, 22.783053, 24.032807, 27.213524, 31.787404], [28.921111, 30.358711, 31.147702, 39.842155, 56.575811], [18.570083, 18.735653, 20.822552, 24.606303, 126.273668], [33.969927, 35.501888, 38.197037, 49.768278, 71.373001], [31.539170, 33.523094, 35.804756, 46.524329, 114.798430]]
### 6
fourier: [[40.787929, 41.796002, 45.891338, 60.034045, 184.135228], [20.562337, 20.929848, 23.179386, 29.467744, 136.105326], [31.656104, 32.616464, 34.537978, 44.634562, 119.284870], [35.468322, 36.299507, 37.683868, 42.577553, 46.087675], [25.363372, 25.784404, 26.669554, 29.670591, 30.373152], [18.346763, 19.214365, 20.660341, 28.012184, 52.340812], [18.442686, 18.995482, 20.322641, 20.788504, 22.424349]]
### 8
fourier: [[32.662921, 37.275475, 38.002126, 46.426087, 75.641358], [27.857455, 29.640163, 33.377126, 34.957535, 62.376590], [32.225409, 32.736299, 34.490989, 36.791308, 39.097582], [39.649027, 40.319546, 46.330825, 46.401182, 47.276586], [45.551753, 46.931407, 48.563773, 52.834148, 55.655792], [32.132450, 32.388057, 33.972743, 38.290189, 40.303706], [43.290872, 50.646702, 51.021368, 63.611387, 227.436160]]
### 10
fourier: [[45.501333, 54.035588, 54.280131, 67.010644, 232.403774]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.123543, 25.154596, 25.567385, 28.027009, 84.203249], [24.494231, 25.330246, 25.604859, 28.612944, 87.425622], [32.900704, 32.983783, 35.525139, 40.691353, 219.146650], [22.884091, 24.247261, 27.495296, 30.212144, 35.698512], [19.864816, 20.008928, 21.883137, 22.913083, 43.094750], [23.138520, 25.062176, 25.876461, 26.854658, 127.479580], [12.210051, 12.661119, 12.930686, 15.551543, 72.962988]]
### 2
fourier: [[31.680859, 32.959911, 37.198748, 37.320181, 209.326847], [18.623002, 19.017789, 19.626763, 23.434715, 50.256717], [37.217674, 38.962533, 39.946912, 41.911381, 47.722012], [22.927926, 24.531162, 24.753604, 30.439289, 41.692261], [18.859149, 19.101150, 19.861394, 20.801679, 52.065718], [14.322067, 16.609476, 17.749407, 18.633824, 32.181823], [22.597015, 23.348539, 23.385738, 32.883033, 33.591709]]
### 4
fourier: [[29.246134, 29.730955, 32.211482, 43.028068, 65.742329], [33.165447, 36.566280, 40.952116, 41.095725, 74.136277], [22.311670, 22.783053, 24.032807, 27.213524, 31.787404], [28.921111, 30.358711, 31.147702, 39.842155, 56.575811], [18.570083, 18.735653, 20.822552, 24.606303, 126.273668], [33.969927, 35.501888, 38.197037, 49.768278, 71.373001], [31.539170, 33.523094, 35.804756, 46.524329, 114.798430]]
### 6
fourier: [[40.787929, 41.796002, 45.891338, 60.034045, 184.135228], [20.562337, 20.929848, 23.179386, 29.467744, 136.105326], [31.656104, 32.616464, 34.537978, 44.634562, 119.284870], [35.468322, 36.299507, 37.683868, 42.577553, 46.087675], [25.363372, 25.784404, 26.669554, 29.670591, 30.373152], [18.346763, 19.214365, 20.660341, 28.012184, 52.340812], [18.442686, 18.995482, 20.322641, 20.788504, 22.424349]]
### 8
fourier: [[32.662921, 37.275475, 38.002126, 46.426087, 75.641358], [27.857455, 29.640163, 33.377126, 34.957535, 62.376590], [32.225409, 32.736299, 34.490989, 36.791308, 39.097582], [39.649027, 40.319546, 46.330825, 46.401182, 47.276586], [45.551753, 46.931407, 48.563773, 52.834148, 55.655792], [32.132450, 32.388057, 33.972743, 38.290189, 40.303706], [43.290872, 50.646702, 51.021368, 63.611387, 227.436160]]
### 10
fourier: [[45.501333, 54.035588, 54.280131, 67.010644, 232.403774]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.123543481133233, 25.154595847057134, 25.567385376643468, 28.027009201241672, 84.2032487988472]}, "1": {"fourier": [24.494230839862343, 25.330246096097756, 25.60485876033399, 28.612943612967175, 87.4256223142147]}, "2": {"fourier": [32.900704455912184, 32.98378269218262, 35.52513852654008, 40.69135292937391, 219.1466497629881]}, "3": {"fourier": [22.884090731971735, 24.247261437287992, 27.495295724876893, 30.21214366754345, 35.698511838912964]}, "4": {"fourier": [19.864815709823976, 20.008928425422752, 21.883137451660023, 22.91308256707354, 43.09475004673004]}, "5": {"fourier": [23.138520294046042, 25.062175991982834, 25.876461446593527, 26.85465773301003, 127.4795795083046]}, "6": {"fourier": [12.21005101161209, 12.661118782845092, 12.930686440386477, 15.551542848966173, 72.96298770606518]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": 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33.37712559682598, 34.957534523070834, 62.37659013271332]}, "2": {"fourier": [32.22540893899891, 32.736299473476485, 34.49098882727067, 36.79130800252188, 39.097582484841226]}, "3": {"fourier": [39.649026550025766, 40.31954600770266, 46.33082501136836, 46.40118190799847, 47.27658626437187]}, "4": {"fourier": [45.55175259843475, 46.93140746332273, 48.56377305981718, 52.834148292122634, 55.65579182387293]}, "5": {"fourier": [32.13245018075791, 32.388056729348044, 33.9727428736887, 38.29018888228439, 40.30370611127345]}, "6": {"fourier": [43.290871759612116, 50.646701532552925, 51.021367569232424, 63.611387405277995, 227.43616008758545]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [45.5013329046002, 54.035588098273315, 54.28013134455305, 67.01064439041184, 232.40377414226532]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.265516, -0.251026, 0.591522, 0.411411, -0.381153], [-0.230099, 0.189619, -0.258673, 0.590785, 0.32705], [0.666292, 0.500006, 0.086597, 0.140946, 0.187282], [-0.105441, 0.282246, -0.274844, 0.418087, -0.397628], [-0.325493, 0.069967, -0.204435, 0.16534, 0.548061], [-0.11604, -0.1578, -0.234313, 0.51293, 0.475933], [-0.27479, 0.086757, 0.041152, 0.21967, 0.196326]], "network.0.bias": [0.075653, -0.217711, -0.019446, 0.181512, 0.152932, 0.650914, 0.195403], "network.2.weight": [[0.159774, 0.462489, 0.076334, 0.524481, 0.253766, 0.595683, 0.197468], [-0.49354, 0.017089, 0.233845, -0.316023, -0.529781, -0.104762, -0.07234], [-0.628809, -0.516755, 0.606679, -0.260667, -0.630689, 0.075265, -0.48454], [-0.394371, -0.568008, 0.341356, 0.119003, -0.172176, -0.001783, -0.405153], [-0.444031, -0.118832, 0.183647, -0.328296, -0.280839, -0.06874, -0.250224], [-0.389503, -0.246133, 0.178063, -0.178089, -0.5481, 0.32012, -0.212198], [-0.355378, 0.462871, -0.211298, -0.39201, 0.404906, 0.3922, 0.12885]], "network.2.bias": [-0.028124, 0.094352, 0.118168, 0.09198, 0.23641, 0.046103, -0.084716], "network.4.weight": [[0.354956, -0.746559, -0.24958, -0.332173, -0.441841, -0.022791, 0.471889], [0.534974, -0.18634, -0.541537, -0.401454, -0.623906, -0.348281, -0.073389], [0.085176, 0.392552, 0.420367, 0.480942, 0.275009, 0.025829, -0.332727], [-0.007756, 0.624196, 0.651207, 0.212747, 0.049853, 0.44937, -0.471581], [-0.510675, -0.220319, -0.069283, 0.050746, -0.34672, -0.625091, -0.196477], [-0.509277, 0.457127, 0.328525, 0.44396, 0.295101, 0.207922, -0.503157], [0.494916, -0.15495, -0.336597, -0.278155, -0.376717, -0.361613, 0.488466]], "network.4.bias": [0.120487, 0.318466, -0.190632, 0.244386, 0.06001, 0.137462, 0.321207], "network.6.weight": [[0.358296, 0.453884, -0.47014, -0.325377, 0.034836, -0.115605, 0.564629], [0.438086, 0.527412, 0.009512, -0.050605, -0.102548, -0.302054, -0.036], [-0.418451, -0.256212, 0.417945, -0.269812, -0.387364, 0.425916, -0.54477], [-0.225265, -0.102377, 0.409736, 0.308999, -0.417785, 0.636338, -0.290823], [0.078484, -0.117658, 0.497875, 0.211993, -0.217177, 0.297019, -0.245775], [-0.540989, -0.128017, 0.279072, 0.010935, -0.102646, 0.071808, -0.079165], [-0.059844, -0.145632, -0.125123, 0.447241, -0.051407, 0.345338, -0.004885]], "network.6.bias": [0.722445, 0.557162, 0.110096, -0.178726, -0.07356, 0.122806, -0.087469], "network.8.weight": [[-0.535573, -0.167816, 0.445393, 0.051149, 0.376993, -0.338467, 0.46761], [0.284867, 0.155133, -0.097266, -0.372328, 0.100223, -0.390502, -0.451716], [-0.414514, 0.246132, 0.162425, 0.589335, 0.226675, -0.237977, 0.371099], [0.260362, 0.320811, -0.164521, -0.608109, -0.218114, 0.37919, -0.501664], [0.390821, 0.085478, -0.400139, -0.672522, -0.488872, 0.211066, -0.29751], [-0.497998, 0.183483, -0.083893, 0.339389, 0.311146, -0.163372, 0.6359], [0.654099, 0.512046, -0.244674, -0.401317, -0.205349, -0.393317, -0.064121]], "network.8.bias": [0.281592, 0.208932, -0.14494, 0.088763, 0.239738, 0.273857, 0.676144], "network.10.weight": [[0.190184, -0.307855, 0.460063, -0.202227, -0.29024, 0.166397, -0.675879]], "network.10.bias": [-0.075633]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906745433807373, "train_acc": 0.5, "val_loss": 0.6828798055648804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782574653625488, "train_acc": 0.56, "val_loss": 0.6593039035797119, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6486417055130005, "train_acc": 0.56, "val_loss": 0.5440099239349365, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5045328885316849, "train_acc": 0.75, "val_loss": 0.2884593904018402, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3236505091190338, "train_acc": 0.915, "val_loss": 0.400558203458786, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.28192421793937683, "train_acc": 0.885, "val_loss": 0.22803367674350739, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.19075839221477509, "train_acc": 0.935, "val_loss": 0.2595984935760498, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2221870869398117, "train_acc": 0.945, "val_loss": 0.24462385475635529, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2106332778930664, "train_acc": 0.945, "val_loss": 0.23528793454170227, "val_acc": 0.94}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6828798055648804, "final_val_loss": 0.5440099239349365, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.2884593904018402, "final_val_loss": 0.23528793454170227, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
30
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2876, "learning_rate": 0.052811634834035476, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[31.625708, 33.515443, 34.376294, 37.977981, 179.747375], [20.019716, 20.924030, 25.214083, 26.445577, 172.001684], [24.168262, 25.945949, 32.270235, 34.122685, 97.650406], [31.584657, 33.735189, 37.012008, 38.547783, 183.109292], [38.038424, 39.044641, 43.948955, 45.398491, 82.551326], [33.359050, 34.657443, 40.889072, 45.262129, 154.612890], [32.723239, 33.844721, 34.437401, 40.463927, 194.296310]]
### 2
fourier: [[21.164145, 21.711198, 23.130507, 23.336305, 134.834034], [21.584110, 21.653046, 21.910866, 21.958936, 94.689359], [16.898787, 17.116636, 17.550343, 19.810848, 58.629696], [80.913815, 84.392714, 84.892660, 88.256691, 485.697035], [57.921927, 61.231563, 64.077939, 64.486637, 349.575442], [9.193063, 10.267043, 10.693852, 11.266282, 96.517852], [23.550580, 23.962002, 27.516553, 28.070280, 104.875323]]
### 4
fourier: [[13.990852, 15.592771, 15.665106, 16.318559, 117.781977], [120.321983, 132.072940, 133.879464, 136.509034, 751.672091], [33.506402, 36.432193, 36.756204, 37.219468, 212.290561], [41.271154, 44.553571, 45.034688, 45.088566, 188.439308], [15.470799, 16.329826, 16.614616, 17.421539, 121.764385], [114.096292, 123.523872, 124.877259, 125.317082, 686.955255], [7.421768, 8.929859, 9.399255, 9.409577, 80.990853]]
### 6
fourier: [[46.463770, 51.000964, 51.531047, 52.225805, 319.423963], [139.027368, 151.943487, 154.212954, 155.973502, 844.964471], [36.153050, 39.750899, 40.398584, 41.316280, 240.460996], [24.605694, 26.752552, 27.021032, 27.821140, 150.719164], [124.062956, 135.542125, 137.618733, 139.174229, 747.598692], [57.395372, 62.397990, 63.204055, 63.287331, 360.527998], [1.733792, 1.747050, 1.985807, 2.438871, 38.533302]]
### 8
fourier: [[41.142929, 45.453726, 45.806881, 46.311168, 268.520465], [116.717368, 128.817958, 130.290038, 132.203598, 706.418920], [115.052890, 127.045175, 128.379439, 130.155884, 694.898721], [12.385375, 13.625369, 13.745110, 13.886782, 110.752800], [172.289905, 190.173810, 192.281811, 195.038591, 1041.006992], [85.982314, 94.807758, 95.743878, 96.939363, 506.454464], [48.769844, 53.757373, 54.388163, 55.175055, 233.750549]]
### 10
fourier: [[176.745330, 196.179896, 197.950190, 201.171933, 1035.380892]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[31.625708, 33.515443, 34.376294, 37.977981, 179.747375], [20.019716, 20.924030, 25.214083, 26.445577, 172.001684], [24.168262, 25.945949, 32.270235, 34.122685, 97.650406], [31.584657, 33.735189, 37.012008, 38.547783, 183.109292], [38.038424, 39.044641, 43.948955, 45.398491, 82.551326], [33.359050, 34.657443, 40.889072, 45.262129, 154.612890], [32.723239, 33.844721, 34.437401, 40.463927, 194.296310]]
### 2
fourier: [[21.164145, 21.711198, 23.130507, 23.336305, 134.834034], [21.584110, 21.653046, 21.910866, 21.958936, 94.689359], [16.898787, 17.116636, 17.550343, 19.810848, 58.629696], [80.913815, 84.392714, 84.892660, 88.256691, 485.697035], [57.921927, 61.231563, 64.077939, 64.486637, 349.575442], [9.193063, 10.267043, 10.693852, 11.266282, 96.517852], [23.550580, 23.962002, 27.516553, 28.070280, 104.875323]]
### 4
fourier: [[13.990852, 15.592771, 15.665106, 16.318559, 117.781977], [120.321983, 132.072940, 133.879464, 136.509034, 751.672091], [33.506402, 36.432193, 36.756204, 37.219468, 212.290561], [41.271154, 44.553571, 45.034688, 45.088566, 188.439308], [15.470799, 16.329826, 16.614616, 17.421539, 121.764385], [114.096292, 123.523872, 124.877259, 125.317082, 686.955255], [7.421768, 8.929859, 9.399255, 9.409577, 80.990853]]
### 6
fourier: [[46.463770, 51.000964, 51.531047, 52.225805, 319.423963], [139.027368, 151.943487, 154.212954, 155.973502, 844.964471], [36.153050, 39.750899, 40.398584, 41.316280, 240.460996], [24.605694, 26.752552, 27.021032, 27.821140, 150.719164], [124.062956, 135.542125, 137.618733, 139.174229, 747.598692], [57.395372, 62.397990, 63.204055, 63.287331, 360.527998], [1.733792, 1.747050, 1.985807, 2.438871, 38.533302]]
### 8
fourier: [[41.142929, 45.453726, 45.806881, 46.311168, 268.520465], [116.717368, 128.817958, 130.290038, 132.203598, 706.418920], [115.052890, 127.045175, 128.379439, 130.155884, 694.898721], [12.385375, 13.625369, 13.745110, 13.886782, 110.752800], [172.289905, 190.173810, 192.281811, 195.038591, 1041.006992], [85.982314, 94.807758, 95.743878, 96.939363, 506.454464], [48.769844, 53.757373, 54.388163, 55.175055, 233.750549]]
### 10
fourier: [[176.745330, 196.179896, 197.950190, 201.171933, 1035.380892]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.625708211237217, 33.51544261782065, 34.37629355240706, 37.97798058231649, 179.74737486988306]}, "1": {"fourier": [20.019716105803546, 20.92402978255554, 25.214083160198175, 26.445577481579303, 172.0016838759184]}, "2": {"fourier": [24.16826183426494, 25.945948787689566, 32.270234818642955, 34.122685412971705, 97.65040600299835]}, "3": {"fourier": [31.58465681277345, 33.73518888002358, 37.012008068167745, 38.54778293232078, 183.10929217934608]}, "4": {"fourier": [38.038424023256844, 39.04464140017922, 43.9489553919278, 45.3984908391975, 82.55132588371634]}, "5": {"fourier": [33.3590502095486, 34.657443456745256, 40.88907159690798, 45.262129212137935, 154.6128899306059]}, "6": {"fourier": [32.723239357990444, 33.844721176724754, 34.437401337943086, 40.46392662647392, 194.29630959033966]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [21.16414493137797, 21.711198391450367, 23.130507242858215, 23.336304692987365, 134.83403353393078]}, "1": {"fourier": [21.584110111098045, 21.653046155190623, 21.910866458734056, 21.95893649921208, 94.6893590092659]}, "2": {"fourier": [16.898786577738, 17.116635682019933, 17.550343182168824, 19.81084810455225, 58.62969633936882]}, "3": {"fourier": [80.91381513195847, 84.39271389203711, 84.89265988928676, 88.25669068610055, 485.6970349214971]}, "4": {"fourier": [57.92192659547189, 61.231563380117116, 64.0779386067717, 64.48663692340814, 349.57544173300266]}, "5": {"fourier": [9.193062718620904, 10.26704304259972, 10.693852474155788, 11.266282143645725, 96.51785182952881]}, "6": {"fourier": [23.550580092015146, 23.96200214965799, 27.51655334398551, 28.07027986948064, 104.87532310187817]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [13.990852341155339, 15.592770950231424, 15.665105933312212, 16.31855888222662, 117.7819773554802]}, "1": {"fourier": [120.32198272224835, 132.07293977203892, 133.87946419363985, 136.50903446998376, 751.6720911562443]}, "2": {"fourier": [33.50640221982037, 36.43219255921433, 36.75620413937437, 37.21946805649669, 212.29056141525507]}, "3": {"fourier": [41.27115434516426, 44.55357075870798, 45.034688368210475, 45.08856552134738, 188.439307898283]}, "4": {"fourier": [15.470799203261386, 16.32982598220181, 16.614615831986452, 17.421539106471627, 121.76438531279564]}, "5": {"fourier": [114.09629152226886, 123.52387215829393, 124.87725918561308, 125.31708205274168, 686.9552549161017]}, "6": {"fourier": [7.421768045875688, 8.929859270425, 9.399254886107455, 9.409576566050792, 80.9908527135849]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [46.463770036352685, 51.000964074151824, 51.531046751582515, 52.22580548268792, 319.4239628612995]}, "1": {"fourier": [139.0273677990966, 151.94348664067235, 154.21295414346687, 155.97350173065809, 844.964470654726]}, "2": {"fourier": [36.15305037039431, 39.75089881529474, 40.39858412016995, 41.31628000083448, 240.46099618077278]}, "3": {"fourier": [24.605694186316054, 26.752552458448037, 27.021032268564337, 27.82114035092082, 150.71916408091784]}, "4": {"fourier": [124.06295585756031, 135.5421249433889, 137.61873345929152, 139.17422892615016, 747.5986920893192]}, "5": {"fourier": [57.395372169762126, 62.39799001028767, 63.20405529748797, 63.28733098079637, 360.5279984176159]}, "6": {"fourier": [1.7337916916776097, 1.7470504570911534, 1.9858074884171013, 2.4388710300028396, 38.53330236673355]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [41.14292874061587, 45.453726043591764, 45.80688117629913, 46.31116805682211, 268.5204653739929]}, "1": {"fourier": [116.71736772929118, 128.81795771641924, 130.290038465348, 132.20359816289803, 706.4189201295376]}, "2": {"fourier": [115.05289003923227, 127.04517463020804, 128.37943854477209, 130.1558844529906, 694.8987207040191]}, "3": {"fourier": [12.385374598660771, 13.62536863757795, 13.745109871917695, 13.886781761802425, 110.75280013680458]}, "4": {"fourier": [172.28990526586568, 190.17381008170128, 192.28181096865598, 195.03859090578533, 1041.0069921538234]}, "5": {"fourier": [85.98231432674321, 94.80775804804819, 95.74387802268139, 96.93936261830302, 506.4544642716646]}, "6": {"fourier": [48.769844441281435, 53.757373002511464, 54.38816297666991, 55.17505527448764, 233.75054877996445]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [176.74532957932158, 196.17989636943756, 197.95018998155035, 201.1719326986455, 1035.3808917552233]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.295129, 0.755232, 0.148016, 0.106266, -0.282645], [-0.121918, -0.147412, -0.546076, -0.153244, -0.091768], [0.463927, 0.224007, -0.007131, 0.474609, -0.566751], [0.686225, 0.340926, 0.319453, 0.002325, -0.415299], [0.87503, 0.271734, 0.163029, -0.504986, 0.077412], [-0.65721, -0.702287, 0.179956, -0.142965, 0.427393], [0.248437, 0.873039, 0.370313, -0.348053, -0.02666]], "network.0.bias": [0.065244, 0.091704, -0.2044, 0.399248, -0.019958, -0.216784, 0.26453], "network.2.weight": [[-0.411353, -0.025704, -0.183191, -0.041453, 0.215844, 0.193875, -0.207726], [0.484555, -0.007863, -0.180931, -0.155385, 0.079921, 0.119048, 0.382675], [-0.082901, 0.212962, 0.096797, -0.452289, 0.083111, -0.119922, -0.16361], [0.673255, 0.223563, 0.760602, 0.401899, 0.418692, -0.324655, 0.770508], [0.640539, 0.146354, 0.426691, 0.700919, 0.2427, -0.309209, 0.151123], [-0.065289, 0.046065, -0.12019, -0.166056, -0.056925, -0.058714, 0.027132], [0.02682, -0.005774, 0.171267, 0.620974, 0.306508, -0.352847, -0.330085]], "network.2.bias": [-0.18805, -0.3318, 0.608584, -0.066045, -0.083572, -0.405808, -0.060028], "network.4.weight": [[-0.01006, 0.002436, -0.15847, -0.23549, -0.022066, -0.057872, 0.287982], [-0.03643, 0.242415, -0.567946, 0.722552, 0.793261, 0.001359, 0.736273], [-0.139615, 0.146117, -0.636115, -0.315456, -0.202339, 0.285638, -0.059515], [0.332092, -0.358749, 0.220268, -0.213802, -0.227216, -0.300998, -0.223474], [0.096688, 0.085726, -0.246416, -0.268464, 0.000836, -0.138296, 0.20427], [0.160033, 0.530565, -0.11509, 0.774164, 0.592587, 0.186808, 0.475798], [0.215204, 0.192229, -0.25115, -0.400831, 0.233415, -0.236906, 0.347734]], "network.4.bias": [-0.288078, 0.226788, 0.122662, 0.60405, -0.223439, -0.043574, -0.258921], "network.6.weight": [[-0.28311, -0.308842, 0.065241, -0.237455, 0.233273, -0.087141, -0.141126], [-0.09862, 0.623018, 0.165369, -0.580877, -0.272758, 0.551811, -0.159509], [0.264945, -0.295561, 0.215315, 0.247603, 0.252366, -0.000802, -0.242294], [-0.341388, -0.305927, -0.063808, -0.133405, 0.26349, 0.107999, 0.193302], [-0.160036, 0.53599, -0.290863, -0.61561, -0.270728, 0.511464, 0.137672], [0.129348, -0.072679, -0.175462, 0.029714, 0.170854, -0.426397, -0.044792], [0.267925, -0.03049, 0.05795, 0.513364, -0.126984, 0.048736, 0.214646]], "network.6.bias": [-0.277503, 0.034872, -0.224187, 0.070972, -0.008045, -0.145991, 0.253732], "network.8.weight": [[0.157753, 0.019106, -0.172591, -0.343512, -0.354167, -0.302738, -0.366114], [0.064436, 0.448622, -0.172439, 0.479267, 0.448625, -0.233308, -0.470598], [-0.056656, 0.243596, 0.122483, -0.169559, 0.663381, 0.148605, -0.116975], [0.1277, -0.149622, -0.101589, 0.35908, 0.067988, 0.292648, -0.119805], [-0.123474, 0.589674, -0.102917, -0.089882, 0.742548, 0.098166, -0.487513], [0.230749, 0.521544, 0.247602, -0.356943, 0.112362, -0.158529, 0.259904], [-0.177572, -0.373245, -0.482513, 0.132688, 0.021336, 0.269814, 0.183502]], "network.8.bias": [-0.056123, 0.092278, -0.04716, -0.337924, 0.041461, -0.327123, 0.658222], "network.10.weight": [[0.084112, -0.263199, 0.072681, 0.119223, -0.659133, -0.47155, 0.429002]], "network.10.bias": [0.239621]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6671582460403442, "train_acc": 0.585, "val_loss": 0.6770175099372864, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6013821363449097, "train_acc": 0.585, "val_loss": 0.551065981388092, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.49208444356918335, "train_acc": 0.51, "val_loss": 0.4083539545536041, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3894398659467697, "train_acc": 0.905, "val_loss": 0.37508702278137207, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.33417729288339615, "train_acc": 0.92, "val_loss": 0.281302273273468, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2961968332529068, "train_acc": 0.91, "val_loss": 0.22670391201972961, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2776322662830353, "train_acc": 0.92, "val_loss": 0.17500442266464233, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24681514501571655, "train_acc": 0.91, "val_loss": 0.14117516577243805, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22360245138406754, "train_acc": 0.915, "val_loss": 0.11147792637348175, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19694870710372925, "train_acc": 0.945, "val_loss": 0.1001247689127922, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1736130751669407, "train_acc": 0.935, "val_loss": 0.10649961233139038, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.22659078985452652, "train_acc": 0.92, "val_loss": 0.10460072755813599, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6770175099372864, "final_val_loss": 0.551065981388092, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4083539545536041, "final_val_loss": 0.10460072755813599, "initial_val_acc": 0.94, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
31
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.76, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2412, "learning_rate": 0.09693395560140622, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[37.410660, 37.857459, 45.844721, 46.149518, 246.439712], [44.032050, 44.567931, 50.380756, 54.410189, 61.331912], [21.535270, 25.493471, 29.911911, 33.820823, 130.771556], [49.514246, 50.545974, 51.077916, 62.982630, 218.948027], [73.211590, 76.647201, 78.901852, 81.458058, 489.527466], [45.353506, 53.423880, 53.893567, 53.948860, 218.943410], [40.877200, 45.467590, 52.458392, 60.230370, 67.766612], [28.952045, 31.954680, 35.881983, 39.191790, 238.618925]]
### 2
fourier: [[75.070223, 78.170096, 85.798042, 95.271507, 292.206385], [109.622861, 120.345169, 120.847870, 132.035322, 403.091921], [54.304845, 56.328946, 60.369494, 63.667481, 72.490849], [54.198131, 57.372939, 72.474912, 73.038923, 641.432667], [54.559427, 56.573375, 57.658884, 59.931285, 74.285958], [83.537184, 86.359008, 98.958046, 100.877814, 353.615572], [58.430500, 65.982585, 69.397285, 69.838933, 130.861895], [83.966521, 93.538209, 95.135122, 105.472293, 320.729193]]
### 4
fourier: [[69.427403, 73.926862, 76.972311, 80.150000, 249.210613], [56.703551, 60.246083, 66.850486, 75.631002, 173.951756], [162.641831, 170.329713, 181.611730, 189.724455, 568.237214], [111.169652, 112.529200, 118.017505, 140.770991, 781.560280], [136.053601, 142.596868, 142.984315, 144.892534, 680.085665], [106.300278, 113.902315, 125.772895, 139.847910, 246.794674], [49.842203, 51.914906, 56.306851, 56.694022, 64.607505], [229.632223, 237.813373, 248.727482, 283.370809, 621.719638]]
### 6
fourier: [[43.206605, 46.035553, 46.865446, 49.484685, 113.102299], [178.438629, 180.249560, 185.613502, 193.130818, 537.809212], [162.948252, 163.493259, 164.803420, 176.391646, 520.192913], [244.886490, 246.011780, 249.299566, 261.597590, 742.690936], [93.554594, 93.781711, 94.675817, 102.316343, 281.007958], [161.924084, 163.698646, 165.962818, 174.101880, 543.523964], [184.839300, 185.570058, 192.948892, 201.017919, 633.613786], [186.245166, 201.960590, 203.357365, 206.867060, 702.079473]]
### 8
fourier: [[205.658938, 212.029769, 214.703802, 219.188450, 678.183178]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[37.410660, 37.857459, 45.844721, 46.149518, 246.439712], [44.032050, 44.567931, 50.380756, 54.410189, 61.331912], [21.535270, 25.493471, 29.911911, 33.820823, 130.771556], [49.514246, 50.545974, 51.077916, 62.982630, 218.948027], [73.211590, 76.647201, 78.901852, 81.458058, 489.527466], [45.353506, 53.423880, 53.893567, 53.948860, 218.943410], [40.877200, 45.467590, 52.458392, 60.230370, 67.766612], [28.952045, 31.954680, 35.881983, 39.191790, 238.618925]]
### 2
fourier: [[75.070223, 78.170096, 85.798042, 95.271507, 292.206385], [109.622861, 120.345169, 120.847870, 132.035322, 403.091921], [54.304845, 56.328946, 60.369494, 63.667481, 72.490849], [54.198131, 57.372939, 72.474912, 73.038923, 641.432667], [54.559427, 56.573375, 57.658884, 59.931285, 74.285958], [83.537184, 86.359008, 98.958046, 100.877814, 353.615572], [58.430500, 65.982585, 69.397285, 69.838933, 130.861895], [83.966521, 93.538209, 95.135122, 105.472293, 320.729193]]
### 4
fourier: [[69.427403, 73.926862, 76.972311, 80.150000, 249.210613], [56.703551, 60.246083, 66.850486, 75.631002, 173.951756], [162.641831, 170.329713, 181.611730, 189.724455, 568.237214], [111.169652, 112.529200, 118.017505, 140.770991, 781.560280], [136.053601, 142.596868, 142.984315, 144.892534, 680.085665], [106.300278, 113.902315, 125.772895, 139.847910, 246.794674], [49.842203, 51.914906, 56.306851, 56.694022, 64.607505], [229.632223, 237.813373, 248.727482, 283.370809, 621.719638]]
### 6
fourier: [[43.206605, 46.035553, 46.865446, 49.484685, 113.102299], [178.438629, 180.249560, 185.613502, 193.130818, 537.809212], [162.948252, 163.493259, 164.803420, 176.391646, 520.192913], [244.886490, 246.011780, 249.299566, 261.597590, 742.690936], [93.554594, 93.781711, 94.675817, 102.316343, 281.007958], [161.924084, 163.698646, 165.962818, 174.101880, 543.523964], [184.839300, 185.570058, 192.948892, 201.017919, 633.613786], [186.245166, 201.960590, 203.357365, 206.867060, 702.079473]]
### 8
fourier: [[205.658938, 212.029769, 214.703802, 219.188450, 678.183178]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.861255, -0.497351, -0.372125, -0.24306, -0.865264], [1.384458, -0.382262, -0.045939, -0.308092, -0.562774], [-0.134246, -0.052982, -0.060707, -0.127385, -0.697923], [-1.396224, 0.87524, 0.45221, 0.153532, 0.628123], [1.562835, 0.804881, 0.535567, 0.346121, -0.163589], [1.236742, 0.057023, -0.82758, -0.727734, -0.175787], [1.429785, -0.640171, -0.265402, -0.316189, -0.042891], [-0.559087, 0.591952, 0.264425, 0.46632, 0.477856]], "network.0.bias": [-0.538005, 0.089026, 0.071342, 0.526854, 0.368444, -0.569559, 0.003364, 0.126697], "network.2.weight": [[-0.36536, -0.05284, -1.000595, -0.387581, 1.10873, -0.314951, -0.152484, -0.491768], [-0.936779, 0.308648, -1.690419, -0.622003, 1.211748, -0.01128, 0.308185, -0.295991], [0.707593, 0.259772, 1.175192, 0.630702, -0.69756, -0.036624, 0.331679, 0.747635], [0.490948, 0.315401, -0.291145, 0.597574, 0.376326, -0.021896, 0.213855, 0.867964], [0.771486, 0.365221, 0.687268, 0.48636, -0.730603, -0.195321, 0.066403, 0.651251], [-0.259207, -0.018446, -1.352666, -0.42926, 1.157182, 0.394503, -0.284138, -0.272132], [0.903756, -0.918185, 0.347711, 0.264295, -0.495768, 0.725954, -0.108382, 0.312347], [-0.342735, 0.169511, -1.246009, -0.523869, 1.068485, -0.48109, 0.099317, -0.372492]], "network.2.bias": [-0.157583, -0.163094, 0.323906, 0.639478, 0.024197, -0.414864, 0.263322, 0.073434], "network.4.weight": [[-0.141105, 0.081684, 0.108565, 0.06009, -0.186478, -0.464781, 0.225254, -0.349585], [0.067721, 0.385102, -0.133737, -0.32698, -0.912558, -0.465091, -0.638856, 0.307698], [0.228668, 0.30607, -0.617089, 0.097868, 0.004359, 0.855482, 0.069784, 0.322742], [-0.544255, -0.497515, -0.385928, -0.385208, -0.239891, 0.090423, -0.311855, -0.180372], [-0.700283, -0.435038, -0.454474, -0.112057, 0.186325, -0.178247, 0.870145, -0.199768], [-0.081369, 0.329955, -0.648415, -0.844494, -0.314873, 0.736276, 0.00061, 0.058484], [0.562946, 0.289812, 0.096927, -0.104833, -0.686413, -0.548626, 0.006892, 0.213169], [0.644822, 0.750411, -0.220934, -0.047584, -1.312449, 0.431613, -0.747397, 0.469415]], "network.4.bias": [0.020808, 0.261321, -0.339659, -0.507179, -0.531037, 0.07192, -0.077462, -0.339951], "network.6.weight": [[0.441242, 0.062044, 0.233988, 0.324323, -0.429807, 0.319222, 0.200035, -0.494553], [0.357337, 0.77502, -0.094482, -0.242914, 0.929488, 0.403232, 0.501556, 0.641062], [0.604643, 1.103608, 0.31844, -0.192201, 0.428935, 0.027456, 0.344607, 0.355892], [-0.513447, -0.805103, -0.607727, -0.259534, -0.852261, -0.788508, -1.119466, -0.200705], [0.377015, 0.516196, -0.081351, 0.128567, 0.634654, -0.089545, 0.586383, 0.355777], [0.375605, 0.668675, 0.274317, -0.298548, 0.382403, 0.187557, -0.064843, 0.462594], [0.790416, 0.905509, 0.329599, -0.131336, 0.687876, -0.22556, -0.104516, 0.61801], [-0.329463, -0.264039, 0.707413, -1.108002, -0.27377, 0.019212, -0.168148, 0.409955]], "network.6.bias": [0.464822, -0.280076, -0.335557, 0.478812, -0.149998, -0.145066, -0.277654, -0.055536], "network.8.weight": [[0.230845, -0.166096, -0.176203, -0.44092, 0.104643, -0.282868, 0.115439, -0.695856]], "network.8.bias": [0.511755]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7066080868244171, "train_acc": 0.44, "val_loss": 0.6552404761314392, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6120957136154175, "train_acc": 0.575, "val_loss": 0.5087748169898987, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 1.393336832523346, "train_acc": 0.495, "val_loss": 0.6027008891105652, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.586753785610199, "train_acc": 0.67, "val_loss": 0.6134291887283325, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5792087018489838, "train_acc": 0.68, "val_loss": 0.6704142689704895, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5733641386032104, "train_acc": 0.685, "val_loss": 0.5863094925880432, "val_acc": 0.66}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5562064349651337, "train_acc": 0.71, "val_loss": 0.5465583801269531, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5219710469245911, "train_acc": 0.7, "val_loss": 0.5560882091522217, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5307774543762207, "train_acc": 0.71, "val_loss": 0.5548351407051086, "val_acc": 0.66}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5497550666332245, "train_acc": 0.69, "val_loss": 0.5671082139015198, "val_acc": 0.62}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6552404761314392, "final_val_loss": 0.5087748169898987, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6027008891105652, "final_val_loss": 0.5671082139015198, "initial_val_acc": 0.68, "final_val_acc": 0.62, "best_val_acc": 0.76, "best_epoch": 7}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
32
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2079, "learning_rate": 0.05135048742655233, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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## Activation Signature
### 0
fourier: [[27.004433, 27.282865, 28.125370, 29.459770, 30.570614], [19.258964, 19.424461, 21.025618, 22.730327, 27.153208], [27.699694, 30.173389, 30.678740, 33.249233, 111.903524], [25.304427, 25.348907, 28.397635, 32.776638, 41.474728], [24.208143, 27.925507, 27.931503, 28.379717, 199.595109], [13.001601, 15.666276, 16.188401, 21.551851, 51.667572], [27.001898, 28.237809, 29.359605, 35.150793, 36.786371], [25.238273, 25.520140, 27.452472, 27.940412, 29.697490]]
### 2
fourier: [[42.721026, 44.854269, 49.906069, 56.108963, 258.300877], [16.347140, 17.460606, 19.148837, 19.503864, 110.180193], [13.366126, 13.834919, 14.091603, 15.286705, 85.943965], [16.012384, 16.612613, 17.476098, 18.003049, 18.476028], [12.822795, 13.333871, 13.691831, 14.690743, 55.685214], [29.915606, 30.668420, 31.723326, 35.539625, 126.094967], [13.577442, 13.857225, 14.965994, 17.152764, 37.975025], [12.587428, 13.643312, 14.437639, 15.584464, 75.772643]]
### 4
fourier: [[41.187122, 41.274516, 43.916763, 51.021664, 165.816212], [21.166066, 21.283115, 22.644361, 25.357299, 121.284093], [27.258901, 27.937398, 32.122258, 34.878750, 156.279197], [26.685118, 27.053251, 29.087540, 33.176509, 149.849555], [5.987760, 6.666922, 6.942329, 7.762886, 63.156115], [18.534026, 18.726365, 18.933088, 20.174944, 41.026799], [47.328883, 49.162110, 52.973157, 57.827598, 251.016348], [30.614413, 30.731953, 33.078082, 38.008393, 190.691630]]
### 6
fourier: [[1.422213, 1.458812, 1.559275, 1.593562, 45.386694], [56.262146, 57.328255, 60.530966, 67.438568, 285.085583], [9.098550, 9.186150, 9.577570, 10.807876, 89.930076], [16.675385, 17.479796, 18.950567, 20.155557, 98.798433], [16.269908, 17.417992, 19.233779, 19.989726, 31.525813], [7.929136, 8.002803, 8.834706, 9.105406, 49.071229], [31.442365, 31.566814, 32.879143, 37.417994, 183.251251], [7.415624, 7.844877, 8.665803, 9.833694, 9.971446]]
### 8
fourier: [[32.421298, 34.625657, 37.721958, 39.505706, 146.567455], [11.042450, 11.165496, 11.511883, 13.425281, 81.648265], [11.572839, 11.589360, 12.023623, 13.714796, 78.014333], [5.792546, 5.899621, 6.485968, 7.422003, 62.836997], [16.150387, 16.162764, 16.863197, 19.208476, 107.275690], [18.959631, 19.612623, 20.908080, 22.818867, 118.461517], [37.782009, 39.038113, 41.600768, 45.460361, 171.491715], [32.338897, 33.383227, 35.474184, 38.856581, 132.426709]]
### 10
fourier: [[54.484581, 55.930440, 56.672832, 63.202089, 244.930835], [66.549639, 68.689221, 69.710401, 77.259341, 300.223142], [14.634939, 16.802779, 17.266520, 17.502153, 19.495358], [13.786008, 14.507752, 14.788180, 16.031906, 75.392795], [14.524388, 14.895931, 14.979501, 16.741614, 68.902095], [12.467693, 13.231242, 13.501090, 14.497798, 77.296852], [49.838673, 51.012497, 51.603558, 57.747342, 219.771343], [4.838012, 4.861415, 4.880574, 5.540929, 16.256851]]
### 12
fourier: [[70.347552, 73.633271, 74.914955, 80.858300, 254.532704]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
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## Activation Signature
### 0
fourier: [[27.004433, 27.282865, 28.125370, 29.459770, 30.570614], [19.258964, 19.424461, 21.025618, 22.730327, 27.153208], [27.699694, 30.173389, 30.678740, 33.249233, 111.903524], [25.304427, 25.348907, 28.397635, 32.776638, 41.474728], [24.208143, 27.925507, 27.931503, 28.379717, 199.595109], [13.001601, 15.666276, 16.188401, 21.551851, 51.667572], [27.001898, 28.237809, 29.359605, 35.150793, 36.786371], [25.238273, 25.520140, 27.452472, 27.940412, 29.697490]]
### 2
fourier: [[42.721026, 44.854269, 49.906069, 56.108963, 258.300877], [16.347140, 17.460606, 19.148837, 19.503864, 110.180193], [13.366126, 13.834919, 14.091603, 15.286705, 85.943965], [16.012384, 16.612613, 17.476098, 18.003049, 18.476028], [12.822795, 13.333871, 13.691831, 14.690743, 55.685214], [29.915606, 30.668420, 31.723326, 35.539625, 126.094967], [13.577442, 13.857225, 14.965994, 17.152764, 37.975025], [12.587428, 13.643312, 14.437639, 15.584464, 75.772643]]
### 4
fourier: [[41.187122, 41.274516, 43.916763, 51.021664, 165.816212], [21.166066, 21.283115, 22.644361, 25.357299, 121.284093], [27.258901, 27.937398, 32.122258, 34.878750, 156.279197], [26.685118, 27.053251, 29.087540, 33.176509, 149.849555], [5.987760, 6.666922, 6.942329, 7.762886, 63.156115], [18.534026, 18.726365, 18.933088, 20.174944, 41.026799], [47.328883, 49.162110, 52.973157, 57.827598, 251.016348], [30.614413, 30.731953, 33.078082, 38.008393, 190.691630]]
### 6
fourier: [[1.422213, 1.458812, 1.559275, 1.593562, 45.386694], [56.262146, 57.328255, 60.530966, 67.438568, 285.085583], [9.098550, 9.186150, 9.577570, 10.807876, 89.930076], [16.675385, 17.479796, 18.950567, 20.155557, 98.798433], [16.269908, 17.417992, 19.233779, 19.989726, 31.525813], [7.929136, 8.002803, 8.834706, 9.105406, 49.071229], [31.442365, 31.566814, 32.879143, 37.417994, 183.251251], [7.415624, 7.844877, 8.665803, 9.833694, 9.971446]]
### 8
fourier: [[32.421298, 34.625657, 37.721958, 39.505706, 146.567455], [11.042450, 11.165496, 11.511883, 13.425281, 81.648265], [11.572839, 11.589360, 12.023623, 13.714796, 78.014333], [5.792546, 5.899621, 6.485968, 7.422003, 62.836997], [16.150387, 16.162764, 16.863197, 19.208476, 107.275690], [18.959631, 19.612623, 20.908080, 22.818867, 118.461517], [37.782009, 39.038113, 41.600768, 45.460361, 171.491715], [32.338897, 33.383227, 35.474184, 38.856581, 132.426709]]
### 10
fourier: [[54.484581, 55.930440, 56.672832, 63.202089, 244.930835], [66.549639, 68.689221, 69.710401, 77.259341, 300.223142], [14.634939, 16.802779, 17.266520, 17.502153, 19.495358], [13.786008, 14.507752, 14.788180, 16.031906, 75.392795], [14.524388, 14.895931, 14.979501, 16.741614, 68.902095], [12.467693, 13.231242, 13.501090, 14.497798, 77.296852], [49.838673, 51.012497, 51.603558, 57.747342, 219.771343], [4.838012, 4.861415, 4.880574, 5.540929, 16.256851]]
### 12
fourier: [[70.347552, 73.633271, 74.914955, 80.858300, 254.532704]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.763503, -0.034919, 0.358923, 0.123615, 0.421279], [-0.380504, -0.141154, 0.379576, 0.034325, 0.443362], [-0.672938, -0.031193, 0.574416, 0.483109, -0.071544], [-0.011455, -0.168656, -0.304073, -0.250362, 0.87291], [-0.354653, -0.093074, -0.306938, 0.057944, -0.341537], [-0.162308, 0.42029, -0.339479, -0.221067, 0.160052], [-0.820143, 0.219589, -0.072465, 0.187756, 0.406971], [0.062436, -0.119889, -0.598072, 0.454455, 0.41587]], "network.0.bias": [-0.193314, -0.430024, -0.010006, -0.043772, -0.668646, -0.152159, 0.050055, -0.359089], "network.2.weight": [[0.962904, 0.246475, 0.485574, 0.502479, -0.04912, 0.288611, 0.875791, 0.388508], [0.020564, 0.061621, -0.573219, -0.358134, -0.379378, -0.071215, -0.339784, -0.025208], [-0.2073, -0.241363, -0.017207, -0.105918, -0.108407, 0.116129, -0.476648, 0.035344], [0.446341, -0.181101, 0.294407, -0.56043, 0.05771, -0.103829, -0.345124, -0.380203], [-0.050651, -0.045489, -0.299742, 0.655359, 0.129074, -0.184319, -0.315757, 0.083264], [0.594235, 0.031209, 0.14577, 0.742962, 0.091441, 0.628307, 0.674166, 0.051436], [0.288279, -0.08044, -0.095588, 0.302653, -0.180023, 0.442498, 0.474359, 0.001644], [-0.197519, -0.32383, -0.244718, -0.194571, -0.233323, 0.018656, 0.018021, -0.003039]], "network.2.bias": [0.086528, 0.021517, -0.228196, 0.020759, -0.192918, -0.284965, -0.17755, -0.031932], "network.4.weight": [[0.494201, -0.015443, 0.150626, 0.005184, -0.271286, 0.563592, 0.247174, 0.170417], [-0.468213, -0.530976, -0.334353, -0.556466, 0.018112, 0.122297, -0.177667, 0.195894], [-0.551423, -0.071425, 0.416458, 0.317907, -0.48414, -0.193266, 0.132666, 0.018164], [-0.359705, -0.15427, -0.384486, 0.039401, -0.123384, -0.264528, -0.271941, 0.110259], [-0.236862, -0.213636, -0.154691, -0.17941, 0.17335, 0.224302, -0.110065, 0.142574], [-0.049264, 0.309837, 0.157731, -0.62934, -0.397962, -0.357136, -0.356049, -0.239293], [0.762896, 0.055423, 0.023235, 0.450324, 0.61447, 0.472509, -0.039192, 0.332902], [-0.427094, 0.070633, -0.024134, -0.033463, 0.002282, -0.27249, -0.31324, -0.213376]], "network.4.bias": [-0.497312, 0.08793, 0.008729, -0.112378, -0.254725, 0.631086, -0.286595, -0.330214], "network.6.weight": [[0.039799, 0.182144, -0.155629, 0.110237, -0.028076, -0.004532, -0.061198, -0.236001], [0.605645, 0.039365, 0.211982, -0.000801, -0.124845, -0.395968, 0.654134, -0.116867], [0.105737, -0.089551, 0.220108, 0.276074, 0.045164, -0.234272, -0.292398, -0.047492], [0.076747, 0.025539, -0.464997, -0.463146, -0.278464, 0.120344, -0.413611, -0.028017], [-0.208759, -0.291787, -0.051211, -0.019659, -0.117227, 0.676068, -0.138788, -0.207246], [0.154201, -0.325872, -0.232224, -0.26002, 0.235042, 0.032245, -0.288937, -0.051083], [-0.353675, 0.142282, 0.065089, -0.049748, -0.03652, -0.038194, -0.361745, -0.000234], [-0.228085, 0.146891, 0.525922, 0.477024, -0.329687, 0.627907, 0.054217, 0.401029]], "network.6.bias": [-0.408718, 0.214466, -0.324888, -0.102165, 0.303862, -0.03336, -0.310219, 0.088397], "network.8.weight": [[-0.074756, 0.551278, -0.046161, 0.146892, -0.473733, 0.128867, 0.272946, -0.355639], [-0.299456, -0.213574, -0.35091, -0.009799, -0.168921, -0.252661, 0.128925, -0.158387], [0.034153, -0.20834, 0.346516, 0.283829, -0.279771, -0.299774, 0.286764, 0.277514], [0.034666, -0.124179, 0.27405, -0.128117, 0.066239, -0.520536, -0.03925, -0.494994], [0.05659, -0.291505, -0.321619, 0.130038, 0.138658, 0.093079, 0.037364, -0.371194], [0.271057, -0.332378, 0.217979, -0.054817, 0.093147, 0.260026, 0.349412, 0.064331], [-0.065845, 0.663018, 0.32419, 0.274105, -0.240617, 0.133552, 0.153188, -0.024042], [-0.284593, 0.567997, -0.345968, 0.323568, 0.11329, 0.0439, 0.316808, -0.44532]], "network.8.bias": [0.057242, -0.159843, -0.184187, -0.23454, -0.236454, -0.295192, -0.135791, -0.282786], "network.10.weight": [[0.221414, 0.042825, -0.135471, -0.132031, 0.087103, 0.195401, 0.74778, 0.621802], [0.576939, 0.076955, 0.065811, 0.408102, 0.540989, -0.308764, 0.809462, 0.5756], [-0.081955, 0.100085, -0.071679, 0.011353, -0.093458, 0.276399, -0.228048, -0.181117], [-0.36321, -0.269912, 0.195113, 0.142973, 0.064983, 0.28648, -0.056272, -0.006889], [-0.13283, -0.114121, -0.286922, -0.192627, -0.119257, 0.306424, 0.011788, -0.340887], [-0.435096, -0.256841, 0.293513, -0.235976, 0.044892, -0.268187, 0.016016, 0.021539], [0.113823, 0.123085, 0.085404, 0.400177, 0.271244, -0.085198, 0.642081, 0.706888], [-0.004212, 0.06279, 0.05085, -0.175453, -0.248013, 0.04602, -0.025415, 0.18729]], "network.10.bias": [-0.144358, -0.202694, 0.723135, -0.077896, -0.014217, -0.162164, -0.160067, -0.420398], "network.12.weight": [[-0.366324, -0.463063, 0.700331, 0.071153, -0.176096, 0.194103, -0.358398, -0.188805]], "network.12.bias": [0.452293]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6984262466430664, "train_acc": 0.515, "val_loss": 0.6952366828918457, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779509782791138, "train_acc": 0.575, "val_loss": 0.7162666320800781, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6859508752822876, "train_acc": 0.575, "val_loss": 0.6849575638771057, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6316623389720917, "train_acc": 0.575, "val_loss": 0.6193424463272095, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6359449028968811, "train_acc": 0.495, "val_loss": 0.5353575348854065, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5356915295124054, "train_acc": 0.645, "val_loss": 0.49535906314849854, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.45867720246315, "train_acc": 0.905, "val_loss": 0.42360740900039673, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4004490375518799, "train_acc": 0.905, "val_loss": 0.3848240375518799, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2987555041909218, "train_acc": 0.935, "val_loss": 0.3125680983066559, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.26287972927093506, "train_acc": 0.955, "val_loss": 0.27529871463775635, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.22848130017518997, "train_acc": 0.955, "val_loss": 0.24776989221572876, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.19312043488025665, "train_acc": 0.95, "val_loss": 0.23275119066238403, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.17576464265584946, "train_acc": 0.955, "val_loss": 0.22816146910190582, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1637803614139557, "train_acc": 0.955, "val_loss": 0.2301630973815918, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6952366828918457, "final_val_loss": 0.6193424463272095, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5353575348854065, "final_val_loss": 0.2301630973815918, "initial_val_acc": 0.52, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
33
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9575, "learning_rate": 0.08435096790732609, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[33.816654, 33.823880, 38.675151, 46.302897, 46.330322], [34.150935, 34.684252, 35.307129, 36.840744, 341.135310], [34.843903, 35.763396, 36.781475, 38.446753, 58.867717], [21.930147, 22.123281, 23.072491, 24.828455, 60.853509], [28.809474, 29.226371, 30.941436, 31.220380, 40.142116], [21.871753, 26.013370, 26.762713, 28.263486, 180.274533]]
### 2
fourier: [[16.578621, 21.267349, 21.508829, 26.198579, 85.927469], [34.256883, 38.292413, 39.865342, 48.717621, 278.737818], [25.807994, 29.896715, 34.685504, 36.210540, 40.865841], [17.491781, 18.132305, 22.131935, 23.008312, 150.905280], [16.357712, 17.611840, 17.652829, 20.883923, 178.312277], [14.673397, 16.480958, 18.266683, 19.402029, 127.462801]]
### 4
fourier: [[25.461865, 26.893828, 31.237421, 39.602294, 249.621993], [31.708653, 32.252589, 36.084589, 47.689175, 231.357231], [10.420761, 10.424143, 13.441972, 17.405239, 114.535331], [12.911543, 13.968022, 15.453872, 17.280791, 86.676413], [16.300534, 20.260034, 21.025593, 24.179360, 110.053035], [18.004173, 18.880216, 19.647901, 24.749040, 163.360574]]
### 6
fourier: [[13.552360, 13.872630, 14.652988, 18.902452, 119.735819], [11.095752, 11.534307, 12.091674, 16.728073, 83.455799], [39.968294, 41.462484, 41.828627, 57.786213, 371.049527], [27.442156, 28.734463, 29.030910, 40.525133, 286.013576], [40.634249, 41.451563, 42.830828, 58.139793, 337.915839], [2.652873, 2.804986, 2.870201, 2.949188, 25.230805]]
### 8
fourier: [[18.968048, 19.414166, 20.594405, 28.220743, 228.496483], [2.666581, 2.771933, 3.268618, 4.315385, 67.302862], [19.243486, 19.384206, 20.438587, 27.442644, 132.773705], [8.035280, 8.341009, 8.524146, 11.817099, 80.473876], [1.809502, 1.858991, 2.292285, 2.978765, 33.219034], [19.930268, 20.660293, 21.014177, 29.149708, 153.323174]]
### 10
fourier: [[10.712483, 11.061208, 11.236060, 15.552437, 75.130420], [15.298283, 15.753005, 16.284669, 22.394041, 200.128556], [6.095564, 6.308709, 6.422593, 8.897375, 80.669937], [0.882360, 0.917322, 1.007114, 1.213933, 56.220122], [2.305344, 2.686566, 3.188070, 4.069308, 31.974711], [2.169371, 2.332851, 2.620277, 2.918442, 17.181927]]
### 12
fourier: [[4.535777, 4.571762, 5.101232, 6.838340, 42.607047]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[33.816654, 33.823880, 38.675151, 46.302897, 46.330322], [34.150935, 34.684252, 35.307129, 36.840744, 341.135310], [34.843903, 35.763396, 36.781475, 38.446753, 58.867717], [21.930147, 22.123281, 23.072491, 24.828455, 60.853509], [28.809474, 29.226371, 30.941436, 31.220380, 40.142116], [21.871753, 26.013370, 26.762713, 28.263486, 180.274533]]
### 2
fourier: [[16.578621, 21.267349, 21.508829, 26.198579, 85.927469], [34.256883, 38.292413, 39.865342, 48.717621, 278.737818], [25.807994, 29.896715, 34.685504, 36.210540, 40.865841], [17.491781, 18.132305, 22.131935, 23.008312, 150.905280], [16.357712, 17.611840, 17.652829, 20.883923, 178.312277], [14.673397, 16.480958, 18.266683, 19.402029, 127.462801]]
### 4
fourier: [[25.461865, 26.893828, 31.237421, 39.602294, 249.621993], [31.708653, 32.252589, 36.084589, 47.689175, 231.357231], [10.420761, 10.424143, 13.441972, 17.405239, 114.535331], [12.911543, 13.968022, 15.453872, 17.280791, 86.676413], [16.300534, 20.260034, 21.025593, 24.179360, 110.053035], [18.004173, 18.880216, 19.647901, 24.749040, 163.360574]]
### 6
fourier: [[13.552360, 13.872630, 14.652988, 18.902452, 119.735819], [11.095752, 11.534307, 12.091674, 16.728073, 83.455799], [39.968294, 41.462484, 41.828627, 57.786213, 371.049527], [27.442156, 28.734463, 29.030910, 40.525133, 286.013576], [40.634249, 41.451563, 42.830828, 58.139793, 337.915839], [2.652873, 2.804986, 2.870201, 2.949188, 25.230805]]
### 8
fourier: [[18.968048, 19.414166, 20.594405, 28.220743, 228.496483], [2.666581, 2.771933, 3.268618, 4.315385, 67.302862], [19.243486, 19.384206, 20.438587, 27.442644, 132.773705], [8.035280, 8.341009, 8.524146, 11.817099, 80.473876], [1.809502, 1.858991, 2.292285, 2.978765, 33.219034], [19.930268, 20.660293, 21.014177, 29.149708, 153.323174]]
### 10
fourier: [[10.712483, 11.061208, 11.236060, 15.552437, 75.130420], [15.298283, 15.753005, 16.284669, 22.394041, 200.128556], [6.095564, 6.308709, 6.422593, 8.897375, 80.669937], [0.882360, 0.917322, 1.007114, 1.213933, 56.220122], [2.305344, 2.686566, 3.188070, 4.069308, 31.974711], [2.169371, 2.332851, 2.620277, 2.918442, 17.181927]]
### 12
fourier: [[4.535777, 4.571762, 5.101232, 6.838340, 42.607047]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.816653744765325, 33.82388025968461, 38.675150869263426, 46.3028968125347, 46.33032241463661]}, "1": {"fourier": [34.150935392397514, 34.6842516063456, 35.3071286158256, 36.840743925894124, 341.13531029224396]}, "2": {"fourier": [34.84390347843372, 35.76339613311043, 36.781474648845716, 38.446753276507266, 58.86771657690406]}, "3": {"fourier": [21.930147063899604, 22.123281429282557, 23.07249147708189, 24.828455096652434, 60.853508949279785]}, "4": {"fourier": [28.809473960540277, 29.226370605165865, 30.941435923432078, 31.220379726968655, 40.14211572760395]}, "5": {"fourier": [21.871752594606235, 26.01336958927781, 26.762713036222987, 28.263485635644617, 180.27453336119652]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [16.578621307831686, 21.267348708288864, 21.508829466868164, 26.19857858677544, 85.92746885307133]}, "1": {"fourier": [34.2568827040033, 38.292412902542225, 39.86534219359272, 48.717621490952205, 278.7378177344799]}, "2": {"fourier": [25.807993527609973, 29.896715455682976, 34.685503787007136, 36.21054022505949, 40.86584059894085]}, "3": {"fourier": [17.49178107272678, 18.132305003037715, 22.131935457295803, 23.00831232584986, 150.90528010576963]}, "4": {"fourier": [16.357712052659675, 17.611839944033516, 17.652829159592525, 20.88392344732829, 178.31227725744247]}, "5": {"fourier": [14.673396911346442, 16.480957675582935, 18.266683351546256, 19.402029020670923, 127.46280056238174]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [25.461864858175797, 26.893827847747083, 31.237421180144427, 39.602294117595555, 249.62199252843857]}, "1": {"fourier": [31.708652869047775, 32.252588687894566, 36.08458907445601, 47.689175069951084, 231.3572310358286]}, "2": {"fourier": [10.420761190739912, 10.424142696170405, 13.441972092807411, 17.40523855867914, 114.53533092141151]}, "3": {"fourier": [12.911543017904496, 13.96802209248481, 15.453871580552414, 17.28079092629208, 86.67641308903694]}, "4": {"fourier": [16.300534165502228, 20.260034452210675, 21.025592974372703, 24.179359733150548, 110.05303502082825]}, "5": {"fourier": [18.00417326042978, 18.88021609136167, 19.647901228145447, 24.749040233361065, 163.36057353019714]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [13.552359791351837, 13.87262983734123, 14.652988076328405, 18.902452319770912, 119.73581884428859]}, "1": {"fourier": [11.095751635775635, 11.534307247518726, 12.091673797720402, 16.72807333693937, 83.45579893887043]}, "2": {"fourier": [39.968293732467004, 41.4624841997956, 41.82862726902119, 57.7862128849311, 371.0495267137885]}, "3": {"fourier": [27.442156406220946, 28.734462711154684, 29.030909669761055, 40.5251334308617, 286.0135757923126]}, "4": {"fourier": [40.634248978401814, 41.45156255133632, 42.830828303545786, 58.1397929211706, 337.91583870351315]}, "5": {"fourier": [2.652872724817461, 2.804986189885942, 2.8702013722933133, 2.9491884834800626, 25.230805188417435]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [18.968047593450184, 19.414166260729427, 20.594404530137286, 28.22074300229446, 228.496482655406]}, "1": {"fourier": [2.6665807556388263, 2.7719330848361605, 3.26861804322605, 4.315385172415404, 67.30286192893982]}, "2": {"fourier": [19.243486032674664, 19.384206015591467, 20.438587201013394, 27.442644218130283, 132.77370463311672]}, "3": {"fourier": [8.035280301838313, 8.34100905883495, 8.524146244385125, 11.817098689838692, 80.47387598454952]}, "4": {"fourier": [1.8095024213196205, 1.858990913517775, 2.2922846887461175, 2.9787654798513317, 33.21903367340565]}, "5": {"fourier": [19.930268133781368, 20.660293248355703, 21.014177300630518, 29.14970834148279, 153.32317419350147]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [10.712482749519161, 11.061208002176928, 11.236059694804847, 15.552436702101039, 75.13042021170259]}, "1": {"fourier": [15.298283172696364, 15.753005359888979, 16.28466852745993, 22.394041425272732, 200.12855550646782]}, "2": {"fourier": [6.095563867425095, 6.308709179024764, 6.422593445369168, 8.897374802238298, 80.66993674635887]}, "3": {"fourier": [0.8823597419567273, 0.9173221447622909, 1.0071141704242748, 1.21393326850094, 56.22012239694595]}, "4": {"fourier": [2.305344408949938, 2.6865663932551955, 3.188070422416731, 4.069307912492649, 31.974711142480373]}, "5": {"fourier": [2.1693707196500953, 2.3328505140509277, 2.620277393711564, 2.9184417337380593, 17.181927017867565]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [4.535777017011001, 4.571761556733992, 5.101231856273001, 6.8383397033964854, 42.60704715549946]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.818774, -0.162877, -0.353212, 0.194927, 0.521039], [0.319483, 0.102147, 0.879528, 0.403726, -0.305566], [-0.194737, -0.84686, -0.296743, 0.508819, 0.563188], [-0.321211, -0.504479, 0.009425, 0.158838, 0.356117], [0.23483, 0.049612, 0.478896, -0.700404, 0.221346], [0.308662, -0.032321, 0.42313, -0.06259, 0.256885]], "network.0.bias": [0.478132, 0.880541, -0.034447, -0.156666, -0.065431, 0.611358], "network.2.weight": [[0.269816, -0.17896, 0.112905, 0.252608, -0.382908, -0.127235], [-0.211113, 0.576601, -0.435253, -0.381565, 0.416696, 0.216889], [0.762194, -0.234629, 0.610023, 0.514251, -0.216038, 0.447774], [-0.084001, -0.219494, 0.094624, 0.13975, -0.476938, -0.176193], [-0.133783, -0.264211, -0.110396, -0.065388, 0.024428, -0.393289], [-0.695321, -0.083698, -0.409601, 0.116668, 0.04508, -0.150805]], "network.2.bias": [0.04253, 0.534071, -0.054149, -0.172763, -0.12875, -0.347197], "network.4.weight": [[-0.389817, 0.650308, -0.224133, -0.081333, -0.069145, -0.729163], [0.261707, 0.803578, -0.346326, -0.029463, -0.169157, -0.09368], [0.176284, 0.237287, -0.208372, -0.059885, 0.095346, -0.175726], [-0.364192, -0.127201, -0.516604, -0.009817, 0.314981, 0.074207], [-0.15703, -0.01619, -0.672856, 0.078431, 0.340636, 0.367797], [-0.374163, -0.285388, -0.729801, -0.344191, -0.163288, 0.4691]], "network.4.bias": [0.775852, 0.240858, 0.634972, -0.223161, -0.690473, -0.468664], "network.6.weight": [[-0.328088, -0.213472, 0.138414, -0.231521, 0.142999, -0.406842], [-0.238266, -0.089658, -0.215564, 0.281193, 0.227852, 0.418434], [0.738472, 0.537595, 0.374145, -0.625801, -0.71151, -0.253736], [-0.358897, -0.311093, -0.8011, 0.231246, 0.468838, 0.324379], [-0.454558, -0.640645, -0.834624, -0.003856, 0.213403, -0.050325], [-0.020122, 0.13429, -0.111149, -0.102151, 0.238082, 0.306046]], "network.6.bias": [-0.066108, 0.344949, -0.020767, -0.267039, 0.224913, -0.396007], "network.8.weight": [[-0.166089, -0.299213, 0.482828, 0.025231, -0.551865, -0.406305], [-0.086853, 0.469606, -0.065905, 0.346256, -0.061738, -0.111484], [-0.389545, 0.052723, -0.459968, -0.412907, 0.009221, -0.236548], [-0.185256, 0.082803, -0.19523, 0.213695, 0.21733, -0.335514], [0.160186, -0.088906, 0.057519, -0.457693, -0.144271, -0.322135], [0.279591, -0.668007, 0.484197, 0.448767, -0.109563, -0.322445]], "network.8.bias": [0.468863, -0.446487, 0.34742, -0.126992, 0.091816, -0.337037], "network.10.weight": [[-0.065389, -0.399487, 0.602017, 0.390732, 0.384146, -0.495586], [0.507452, 0.021539, -0.201337, -0.33695, 0.003592, 0.26168], [-0.196632, 0.180694, 0.16325, -0.093509, 0.232713, -0.125429], [-0.402038, -0.041432, -0.573415, 0.029146, 0.249499, 0.420538], [-0.449629, 0.062033, 0.136081, -0.386553, -0.421497, 0.364558], [-0.328983, 0.097714, -0.413259, -0.030503, -0.327395, 0.459612]], "network.10.bias": [0.071752, 0.470664, -0.227968, -0.409789, 0.225956, -0.062774], "network.12.weight": [[0.161682, -0.298972, 0.159793, 0.24145, 0.045587, 0.507112]], "network.12.bias": [0.294638]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7200360596179962, "train_acc": 0.45, "val_loss": 0.6914308071136475, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858074069023132, "train_acc": 0.61, "val_loss": 0.6498581767082214, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6793696880340576, "train_acc": 0.475, "val_loss": 0.5352476835250854, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5256553888320923, "train_acc": 0.85, "val_loss": 0.31248265504837036, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4167887717485428, "train_acc": 0.81, "val_loss": 0.30647599697113037, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.35024893283843994, "train_acc": 0.855, "val_loss": 0.29071593284606934, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.35657820105552673, "train_acc": 0.865, "val_loss": 0.25815871357917786, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.36367182433605194, "train_acc": 0.865, "val_loss": 0.2520100772380829, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.34716758131980896, "train_acc": 0.875, "val_loss": 0.2534218430519104, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.30077360570430756, "train_acc": 0.88, "val_loss": 0.26577556133270264, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2683999389410019, "train_acc": 0.895, "val_loss": 0.2715455889701843, "val_acc": 0.88}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6914308071136475, "final_val_loss": 0.6498581767082214, "initial_val_acc": 0.64, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5352476835250854, "final_val_loss": 0.2715455889701843, "initial_val_acc": 0.9, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 2}, "improvement": 0.30000000000000004, "first_improvement_epoch": 1}}
|
34
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2084, "learning_rate": 0.07613021159903365, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[23.319166, 23.779667, 26.230030, 29.128056, 31.454647], [21.327078, 22.455573, 23.676699, 28.301932, 78.296210], [33.108084, 34.769291, 38.946416, 41.886375, 97.769039], [30.513826, 30.834386, 32.767582, 39.548891, 43.886467], [41.475672, 42.278523, 47.923041, 51.727195, 358.487323], [24.519834, 25.737672, 29.419438, 29.861052, 36.894486], [22.742147, 23.179224, 28.477169, 29.694266, 55.543891], [24.105576, 26.147893, 27.183659, 27.423382, 37.034500]]
### 2
fourier: [[31.233175, 33.815573, 37.706017, 40.791776, 145.468064], [11.600237, 12.928476, 13.734506, 14.582595, 124.281312], [31.912965, 33.069444, 44.230431, 44.946786, 155.108382], [27.842559, 33.383578, 34.803720, 35.995345, 40.278562], [51.332951, 54.638445, 65.075533, 70.315332, 204.443456], [11.878159, 12.755057, 13.074870, 14.967949, 16.389410], [20.961772, 21.503229, 25.708490, 30.060348, 72.518418], [24.180671, 31.228282, 33.183450, 33.366434, 99.762685]]
### 4
fourier: [[10.333535, 12.690827, 13.691890, 14.954299, 149.875427], [49.440687, 53.505174, 61.594655, 69.084650, 131.274492], [45.738235, 46.166060, 65.464657, 66.810218, 175.049860], [38.606140, 40.720384, 49.635375, 55.437737, 266.861665], [76.617426, 77.524646, 107.086588, 107.507191, 296.633470], [55.046820, 59.161675, 72.187523, 75.968822, 165.369093], [49.870840, 51.675153, 66.656138, 68.746772, 188.708191], [31.162088, 32.598069, 43.486605, 48.673961, 241.909388]]
### 6
fourier: [[71.233872, 78.104910, 109.937175, 111.665124, 430.473152], [1.667873, 2.050325, 2.096161, 2.630709, 55.711751], [19.845383, 20.054207, 27.895019, 29.597461, 179.780870], [120.713928, 127.892605, 180.742494, 180.769191, 573.002216], [121.281638, 128.947133, 183.124878, 184.414758, 563.275063], [140.215950, 149.418770, 212.532607, 214.977542, 679.010048], [57.258578, 59.195653, 84.761817, 84.906107, 175.331202], [41.201313, 42.053037, 60.499527, 60.873857, 109.648068]]
### 8
fourier: [[150.512994, 158.096341, 221.897346, 225.408709, 588.617374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.349329,
0.184495,
0.381737,
0.143931,
0.406738
],
[
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0.013354,
-0.686245,
0.767861,
0.108578,
-0.666086,
-0.026062
],
[
0.325571,
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0.30382,
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0.576663,
-0.254364,
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],
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0.066059,
-0.493174,
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],
[
0.492832,
-0.010955,
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-0.592798,
0.78522,
0.107987,
0.122315,
-0.703075
],
[
0.361038,
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0.605123,
0.374637,
-0.031007,
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],
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0.179606,
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0.190897,
0.031249,
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],
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[
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[23.319166, 23.779667, 26.230030, 29.128056, 31.454647], [21.327078, 22.455573, 23.676699, 28.301932, 78.296210], [33.108084, 34.769291, 38.946416, 41.886375, 97.769039], [30.513826, 30.834386, 32.767582, 39.548891, 43.886467], [41.475672, 42.278523, 47.923041, 51.727195, 358.487323], [24.519834, 25.737672, 29.419438, 29.861052, 36.894486], [22.742147, 23.179224, 28.477169, 29.694266, 55.543891], [24.105576, 26.147893, 27.183659, 27.423382, 37.034500]]
### 2
fourier: [[31.233175, 33.815573, 37.706017, 40.791776, 145.468064], [11.600237, 12.928476, 13.734506, 14.582595, 124.281312], [31.912965, 33.069444, 44.230431, 44.946786, 155.108382], [27.842559, 33.383578, 34.803720, 35.995345, 40.278562], [51.332951, 54.638445, 65.075533, 70.315332, 204.443456], [11.878159, 12.755057, 13.074870, 14.967949, 16.389410], [20.961772, 21.503229, 25.708490, 30.060348, 72.518418], [24.180671, 31.228282, 33.183450, 33.366434, 99.762685]]
### 4
fourier: [[10.333535, 12.690827, 13.691890, 14.954299, 149.875427], [49.440687, 53.505174, 61.594655, 69.084650, 131.274492], [45.738235, 46.166060, 65.464657, 66.810218, 175.049860], [38.606140, 40.720384, 49.635375, 55.437737, 266.861665], [76.617426, 77.524646, 107.086588, 107.507191, 296.633470], [55.046820, 59.161675, 72.187523, 75.968822, 165.369093], [49.870840, 51.675153, 66.656138, 68.746772, 188.708191], [31.162088, 32.598069, 43.486605, 48.673961, 241.909388]]
### 6
fourier: [[71.233872, 78.104910, 109.937175, 111.665124, 430.473152], [1.667873, 2.050325, 2.096161, 2.630709, 55.711751], [19.845383, 20.054207, 27.895019, 29.597461, 179.780870], [120.713928, 127.892605, 180.742494, 180.769191, 573.002216], [121.281638, 128.947133, 183.124878, 184.414758, 563.275063], [140.215950, 149.418770, 212.532607, 214.977542, 679.010048], [57.258578, 59.195653, 84.761817, 84.906107, 175.331202], [41.201313, 42.053037, 60.499527, 60.873857, 109.648068]]
### 8
fourier: [[150.512994, 158.096341, 221.897346, 225.408709, 588.617374]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.388896, -0.076341, 0.102071, -0.498515, 0.345834], [0.464564, -0.109712, -0.195431, -0.095248, 0.43856], [-0.502554, -0.244549, 0.164886, 0.220243, 1.050065], [-0.296963, 0.174377, 0.066301, 0.168926, -0.991912], [-0.700244, -0.53192, -0.552613, -0.054345, -0.223], [0.739396, -0.112262, -0.078898, -0.384687, 0.031831], [-0.440265, 0.451636, 0.252654, 0.228348, -0.476928], [-0.101593, -0.237787, 0.383359, 0.095351, -0.84944]], "network.0.bias": [-0.265049, 0.563351, 0.045538, 0.431804, -0.596582, 0.14807, -0.087178, 0.334263], "network.2.weight": [[0.000611, 0.27097, 0.958709, -0.068399, 0.316792, -0.270839, 0.3047, -0.376894], [0.146379, -0.028965, -0.337845, 0.072932, -0.211553, 0.014745, -0.460602, -0.484833], [0.097868, 0.320699, 0.769431, -0.220845, 0.078783, 0.335818, -0.241861, -0.224117], [-0.129189, -0.095569, -0.319079, 0.373867, 0.078455, -0.396071, 0.582442, 0.612767], [0.115895, 0.729566, 0.935262, -0.678243, 0.353549, 0.670145, -0.284442, -0.162325], [-0.17055, 0.492571, -0.241193, 0.278416, -0.343345, 0.238777, -0.368831, 0.207115], [-0.94921, -0.188891, 0.084727, 0.082328, -0.073629, -0.362053, 0.178909, -0.017969], [0.634576, -0.60835, -0.643282, -0.066351, -0.1109, 0.023806, 0.356232, 0.176553]], "network.2.bias": [0.066929, -0.327092, 0.509466, 0.19096, 0.475078, 0.004501, -0.310928, -0.240431], "network.4.weight": [[0.220232, -0.088, -0.043844, 0.349329, 0.184495, 0.381737, 0.143931, 0.406738], [0.035783, 0.130498, 0.013354, -0.686245, 0.767861, 0.108578, -0.666086, -0.026062], [0.325571, 0.307256, 0.30382, -0.254232, 0.576663, -0.254364, -0.178388, -0.357497], [-0.865198, 0.339242, -0.531385, -0.213226, 0.005232, 0.066059, -0.493174, -0.013059], [0.492832, -0.010955, 0.638096, -0.592798, 0.78522, 0.107987, 0.122315, -0.703075], [0.361038, 0.09987, 0.152767, -0.776954, 0.605123, 0.374637, -0.031007, -0.514455], [0.179606, -0.475072, 0.43376, -0.42693, 0.519518, 0.190897, 0.031249, -0.509276], [-0.463677, -0.213152, -0.239207, -0.42198, -0.389708, 0.099451, -0.323992, 0.126208]], "network.4.bias": [0.39288, 0.114244, -0.194066, -0.390658, -0.043897, 0.105868, 0.102463, -0.144831], "network.6.weight": [[-0.531674, -0.527558, -0.207455, -0.389337, -0.333734, -0.080054, -0.360297, 0.058745], [-0.155713, 0.109399, 0.014098, -0.285022, -0.105249, 0.052354, 0.058978, -0.105466], [-0.547085, -0.084852, -0.167855, -0.022197, 0.113126, -0.083069, -0.195918, -0.053955], [-0.140995, 0.672546, 0.29224, 0.14679, 0.745853, 0.592183, 0.205976, 0.421515], [-0.080936, 0.389367, 0.73108, -0.146069, 0.451584, 0.775655, 0.332484, -0.026014], [0.034227, 0.339812, 0.709226, 0.178475, 0.770902, 0.481875, 0.636269, 0.513392], [0.392335, 0.109451, -0.543195, -0.025525, -0.051505, -0.457317, -0.421596, -0.533145], [0.374183, 0.324197, -0.220897, -0.028952, -0.247479, -0.498071, -0.186189, 0.069614]], "network.6.bias": [-0.099903, -0.489081, -0.303908, -0.042962, -0.279009, -0.24011, 0.634162, 0.520339], "network.8.weight": [[0.029204, -0.136619, 0.067914, -0.467167, -0.234478, -0.414316, 0.643976, 0.46118]], "network.8.bias": [0.606936]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7116595208644867, "train_acc": 0.43, "val_loss": 0.6481384038925171, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6410282850265503, "train_acc": 0.56, "val_loss": 0.5449063181877136, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.598608523607254, "train_acc": 0.585, "val_loss": 0.4776480197906494, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47113656997680664, "train_acc": 0.835, "val_loss": 0.4435732960700989, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32947850227355957, "train_acc": 0.89, "val_loss": 0.5477588772773743, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.31863756477832794, "train_acc": 0.865, "val_loss": 0.5908229351043701, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2754162549972534, "train_acc": 0.91, "val_loss": 0.6634003520011902, "val_acc": 0.78}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6481384038925171, "final_val_loss": 0.5449063181877136, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.4776480197906494, "final_val_loss": 0.6634003520011902, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
35
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.045238552165504674, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[15.711193, 15.945858, 16.420524, 17.454743, 50.996970], [19.251442, 19.298811, 22.093629, 22.098118, 78.361838], [16.569799, 17.112266, 19.289619, 20.811031, 30.972275], [32.912874, 34.713629, 36.493830, 43.664507, 125.815301], [21.842968, 22.295796, 22.413527, 22.434889, 59.554972], [27.411036, 28.214342, 28.260043, 29.075037, 138.760638], [17.711847, 17.740990, 18.148611, 20.060490, 203.902926], [11.140690, 12.160226, 12.170883, 13.121601, 15.476702]]
### 2
fourier: [[26.666631, 28.409687, 31.791190, 34.140566, 34.157923], [25.187939, 25.553283, 28.050382, 36.281600, 229.031905], [16.091415, 18.110362, 19.151920, 19.966262, 118.967898], [35.404681, 36.058730, 43.169764, 43.811318, 189.992261], [22.301759, 25.200164, 27.539662, 28.308107, 160.541679], [19.732776, 21.850589, 24.910363, 26.155045, 77.372599], [8.776175, 8.876988, 9.008229, 9.297256, 87.930540], [11.273526, 11.586103, 11.893897, 12.515962, 100.774203]]
### 4
fourier: [[25.562636, 26.107575, 26.354369, 35.787930, 312.735126], [17.231287, 17.741479, 23.245293, 26.188546, 197.693962], [16.593830, 18.971851, 21.158262, 23.914578, 24.419745], [26.781545, 28.464840, 32.084523, 32.713901, 272.329535], [47.494364, 47.785227, 55.084077, 57.428397, 263.002084], [24.760824, 26.775716, 31.455652, 31.570390, 35.174871], [8.985312, 9.237804, 11.030359, 11.053039, 11.826826], [18.411537, 18.964393, 20.918123, 21.581033, 70.875724]]
### 6
fourier: [[15.129667, 16.528100, 18.917548, 19.402154, 68.194922], [12.686558, 13.468159, 14.643315, 14.734403, 52.822736], [15.892132, 16.940980, 18.021672, 19.094255, 19.492037], [36.874628, 39.918200, 40.220670, 44.765154, 126.450437], [32.491627, 34.573613, 35.971004, 38.962806, 92.682947], [20.177238, 21.991415, 22.648499, 23.786108, 26.796314], [24.452802, 24.889776, 27.395938, 29.003063, 35.879467], [19.531669, 20.629588, 22.625789, 24.599317, 96.127788]]
### 8
fourier: [[44.255609, 51.795476, 56.146123, 57.896344, 159.822245], [21.202370, 21.615599, 23.966638, 24.733034, 33.678950], [5.849387, 5.866137, 5.914565, 6.527926, 22.773675], [15.170381, 16.629525, 16.766807, 18.919418, 19.216359], [18.657547, 20.749079, 22.757768, 23.424233, 104.864263], [30.940556, 34.292588, 37.564266, 39.808098, 89.253960], [21.831576, 22.614576, 24.772029, 25.787818, 38.207964], [29.268575, 32.396126, 35.253923, 36.291927, 119.474727]]
### 10
fourier: [[32.377059, 39.105651, 41.557235, 41.854116, 116.314454]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[15.711193, 15.945858, 16.420524, 17.454743, 50.996970], [19.251442, 19.298811, 22.093629, 22.098118, 78.361838], [16.569799, 17.112266, 19.289619, 20.811031, 30.972275], [32.912874, 34.713629, 36.493830, 43.664507, 125.815301], [21.842968, 22.295796, 22.413527, 22.434889, 59.554972], [27.411036, 28.214342, 28.260043, 29.075037, 138.760638], [17.711847, 17.740990, 18.148611, 20.060490, 203.902926], [11.140690, 12.160226, 12.170883, 13.121601, 15.476702]]
### 2
fourier: [[26.666631, 28.409687, 31.791190, 34.140566, 34.157923], [25.187939, 25.553283, 28.050382, 36.281600, 229.031905], [16.091415, 18.110362, 19.151920, 19.966262, 118.967898], [35.404681, 36.058730, 43.169764, 43.811318, 189.992261], [22.301759, 25.200164, 27.539662, 28.308107, 160.541679], [19.732776, 21.850589, 24.910363, 26.155045, 77.372599], [8.776175, 8.876988, 9.008229, 9.297256, 87.930540], [11.273526, 11.586103, 11.893897, 12.515962, 100.774203]]
### 4
fourier: [[25.562636, 26.107575, 26.354369, 35.787930, 312.735126], [17.231287, 17.741479, 23.245293, 26.188546, 197.693962], [16.593830, 18.971851, 21.158262, 23.914578, 24.419745], [26.781545, 28.464840, 32.084523, 32.713901, 272.329535], [47.494364, 47.785227, 55.084077, 57.428397, 263.002084], [24.760824, 26.775716, 31.455652, 31.570390, 35.174871], [8.985312, 9.237804, 11.030359, 11.053039, 11.826826], [18.411537, 18.964393, 20.918123, 21.581033, 70.875724]]
### 6
fourier: [[15.129667, 16.528100, 18.917548, 19.402154, 68.194922], [12.686558, 13.468159, 14.643315, 14.734403, 52.822736], [15.892132, 16.940980, 18.021672, 19.094255, 19.492037], [36.874628, 39.918200, 40.220670, 44.765154, 126.450437], [32.491627, 34.573613, 35.971004, 38.962806, 92.682947], [20.177238, 21.991415, 22.648499, 23.786108, 26.796314], [24.452802, 24.889776, 27.395938, 29.003063, 35.879467], [19.531669, 20.629588, 22.625789, 24.599317, 96.127788]]
### 8
fourier: [[44.255609, 51.795476, 56.146123, 57.896344, 159.822245], [21.202370, 21.615599, 23.966638, 24.733034, 33.678950], [5.849387, 5.866137, 5.914565, 6.527926, 22.773675], [15.170381, 16.629525, 16.766807, 18.919418, 19.216359], [18.657547, 20.749079, 22.757768, 23.424233, 104.864263], [30.940556, 34.292588, 37.564266, 39.808098, 89.253960], [21.831576, 22.614576, 24.772029, 25.787818, 38.207964], [29.268575, 32.396126, 35.253923, 36.291927, 119.474727]]
### 10
fourier: [[32.377059, 39.105651, 41.557235, 41.854116, 116.314454]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7332117557525635, "train_acc": 0.445, "val_loss": 0.7148089408874512, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7017331421375275, "train_acc": 0.445, "val_loss": 0.6663110256195068, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6407885551452637, "train_acc": 0.745, "val_loss": 0.42067763209342957, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.40531425178050995, "train_acc": 0.85, "val_loss": 0.2636922597885132, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.47157639265060425, "train_acc": 0.825, "val_loss": 0.34855902194976807, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3881945312023163, "train_acc": 0.835, "val_loss": 0.20520229637622833, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3113468736410141, "train_acc": 0.88, "val_loss": 0.25015535950660706, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.35011035203933716, "train_acc": 0.87, "val_loss": 0.2386774867773056, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.30770552158355713, "train_acc": 0.885, "val_loss": 0.22566550970077515, "val_acc": 0.9}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7148089408874512, "final_val_loss": 0.6663110256195068, "initial_val_acc": 0.42, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.42067763209342957, "final_val_loss": 0.22566550970077515, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
36
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.027281424600688553, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
-0.05224,
0.501131,
-0.178604,
0.454602,
0.529556,
0.13602
],
[
-0.356846,
-0.414675,
0.6898,
-0.378034,
-0.001646,
-0.429346
]
],
"network.6.bias": [
0.382386,
0.258872,
0.233231,
-0.199732,
0.213878,
0.156484
],
"network.8.weight": [
[
-0.274567,
0.319451,
-0.698007,
0.059261,
0.339702,
-0.753781
]
],
"network.8.bias": [
0.28327
]
}
## Activation Signature
### 0
fourier: [[21.867104, 22.025164, 22.457971, 27.005231, 205.151699], [17.164735, 19.283819, 20.501920, 20.513267, 110.498612], [25.407367, 25.808005, 26.793620, 26.893426, 27.108645], [29.677020, 31.661121, 37.421037, 38.685302, 137.670492], [22.652075, 24.274665, 24.591976, 26.462777, 51.095897], [33.304228, 36.365336, 36.412454, 36.943249, 79.111465]]
### 2
fourier: [[23.019904, 23.823350, 24.573708, 26.146530, 29.323442], [17.828996, 17.956426, 18.908541, 19.060301, 63.237710], [15.482350, 16.514462, 16.747663, 19.947753, 21.546773], [4.478040, 4.685913, 5.343146, 5.550450, 87.751366], [9.094102, 9.215142, 9.413712, 9.849037, 103.989497], [33.887897, 36.238047, 38.344640, 39.235272, 271.464780]]
### 4
fourier: [[14.230006, 14.694763, 15.838622, 16.178282, 41.426377], [7.388380, 7.492379, 7.741171, 8.000777, 8.279510], [28.547043, 28.935432, 30.744973, 31.808679, 195.638127], [15.836371, 18.128206, 18.570779, 18.874758, 59.984621], [9.311834, 9.599410, 10.611888, 10.699662, 43.344951], [9.365780, 9.868368, 10.144842, 13.283916, 103.054725]]
### 6
fourier: [[18.369281, 18.377723, 19.300294, 19.810387, 75.107477], [12.347414, 12.880139, 13.101966, 13.731854, 17.177631], [29.739161, 29.766999, 32.349633, 33.449259, 157.686194], [8.986709, 9.275359, 9.395774, 10.134509, 48.274042], [16.116449, 16.288328, 16.555961, 17.700374, 34.739308], [24.126151, 24.290525, 26.266648, 27.128303, 123.396126]]
### 8
fourier: [[43.621377, 45.106383, 47.327313, 48.967392, 196.708365]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.173342,
0.116861,
0.40131,
0.483743,
-0.349404
],
[
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-0.311894,
-0.020409
],
[
-0.751094,
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0.128233,
-0.040685,
0.296056
],
[
-0.839025,
-0.040131,
-0.235928,
-0.062925,
0.45803
],
[
-0.339303,
0.135719,
-0.156285,
0.170489,
0.681625
],
[
-0.790984,
-0.114517,
0.217713,
0.314719,
0.854096
]
],
"network.0.bias": [
0.406082,
0.000682,
0.493884,
-0.349562,
-0.137146,
-0.111033
],
"network.2.weight": [
[
0.59165,
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0.612257,
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],
[
-0.093206,
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0.516788,
-0.469068,
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-0.419274
],
[
0.314429,
0.336149,
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],
[
-0.163425,
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0.108644,
0.083545,
0.087721,
-0.195029
],
[
0.317183,
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0.413972,
-0.021531,
0.121731
],
[
0.334862,
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0.33176,
-0.121201,
0.427641,
0.889211
]
],
"network.2.bias": [
-0.001329,
0.049484,
-0.037213,
-0.485759,
0.466903,
0.615764
],
"network.4.weight": [
[
0.521236,
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0.284005,
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],
[
0.424558,
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0.16849,
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],
[
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0.227683,
0.663294
],
[
0.752715,
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0.397399,
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0.459239,
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],
[
0.305752,
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0.26621,
0.309573,
0.389401,
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],
[
-0.57103,
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0.074786,
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]
],
"network.4.bias": [
0.293346,
0.07198,
0.458317,
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0.193726,
-0.239154
],
"network.6.weight": [
[
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0.42846,
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],
[
0.122611,
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0.54115,
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0.071024
],
[
-0.585841,
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],
[
0.451207,
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0.004953,
0.013158,
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],
[
-0.05224,
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0.454602,
0.529556,
0.13602
],
[
-0.356846,
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0.6898,
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-0.001646,
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]
],
"network.6.bias": [
0.382386,
0.258872,
0.233231,
-0.199732,
0.213878,
0.156484
],
"network.8.weight": [
[
-0.274567,
0.319451,
-0.698007,
0.059261,
0.339702,
-0.753781
]
],
"network.8.bias": [
0.28327
]
}
## Activation Signature
### 0
fourier: [[21.867104, 22.025164, 22.457971, 27.005231, 205.151699], [17.164735, 19.283819, 20.501920, 20.513267, 110.498612], [25.407367, 25.808005, 26.793620, 26.893426, 27.108645], [29.677020, 31.661121, 37.421037, 38.685302, 137.670492], [22.652075, 24.274665, 24.591976, 26.462777, 51.095897], [33.304228, 36.365336, 36.412454, 36.943249, 79.111465]]
### 2
fourier: [[23.019904, 23.823350, 24.573708, 26.146530, 29.323442], [17.828996, 17.956426, 18.908541, 19.060301, 63.237710], [15.482350, 16.514462, 16.747663, 19.947753, 21.546773], [4.478040, 4.685913, 5.343146, 5.550450, 87.751366], [9.094102, 9.215142, 9.413712, 9.849037, 103.989497], [33.887897, 36.238047, 38.344640, 39.235272, 271.464780]]
### 4
fourier: [[14.230006, 14.694763, 15.838622, 16.178282, 41.426377], [7.388380, 7.492379, 7.741171, 8.000777, 8.279510], [28.547043, 28.935432, 30.744973, 31.808679, 195.638127], [15.836371, 18.128206, 18.570779, 18.874758, 59.984621], [9.311834, 9.599410, 10.611888, 10.699662, 43.344951], [9.365780, 9.868368, 10.144842, 13.283916, 103.054725]]
### 6
fourier: [[18.369281, 18.377723, 19.300294, 19.810387, 75.107477], [12.347414, 12.880139, 13.101966, 13.731854, 17.177631], [29.739161, 29.766999, 32.349633, 33.449259, 157.686194], [8.986709, 9.275359, 9.395774, 10.134509, 48.274042], [16.116449, 16.288328, 16.555961, 17.700374, 34.739308], [24.126151, 24.290525, 26.266648, 27.128303, 123.396126]]
### 8
fourier: [[43.621377, 45.106383, 47.327313, 48.967392, 196.708365]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.173342, 0.116861, 0.40131, 0.483743, -0.349404], [-0.437382, 0.075261, -0.060931, -0.311894, -0.020409], [-0.751094, -0.001589, 0.128233, -0.040685, 0.296056], [-0.839025, -0.040131, -0.235928, -0.062925, 0.45803], [-0.339303, 0.135719, -0.156285, 0.170489, 0.681625], [-0.790984, -0.114517, 0.217713, 0.314719, 0.854096]], "network.0.bias": [0.406082, 0.000682, 0.493884, -0.349562, -0.137146, -0.111033], "network.2.weight": [[0.59165, -0.087823, -0.816067, 0.612257, -0.243413, -0.380828], [-0.093206, -0.258574, 0.516788, -0.469068, -0.375233, -0.419274], [0.314429, 0.336149, -0.734441, -0.026357, -0.326032, -0.050399], [-0.163425, -0.047935, 0.108644, 0.083545, 0.087721, -0.195029], [0.317183, -0.723375, -0.460756, 0.413972, -0.021531, 0.121731], [0.334862, -0.508152, 0.33176, -0.121201, 0.427641, 0.889211]], "network.2.bias": [-0.001329, 0.049484, -0.037213, -0.485759, 0.466903, 0.615764], "network.4.weight": [[0.521236, -0.178961, 0.284005, -0.030484, -0.252679, -0.308066], [0.424558, 0.042227, 0.16849, -0.158094, -0.067627, -0.122244], [-0.665614, -0.121062, -0.528144, -0.484218, 0.227683, 0.663294], [0.752715, -0.238188, 0.397399, -0.18404, 0.459239, -0.017409], [0.305752, -0.020452, 0.26621, 0.309573, 0.389401, -0.113338], [-0.57103, 0.764401, -0.055383, 0.074786, -0.072104, -0.135668]], "network.4.bias": [0.293346, 0.07198, 0.458317, -0.382869, 0.193726, -0.239154], "network.6.weight": [[-0.038934, 0.031511, 0.42846, -0.469414, -0.401533, -0.225869], [0.122611, -0.112297, -0.334431, 0.54115, -0.207214, 0.071024], [-0.585841, -0.220328, 0.862248, -0.439979, -0.073419, -0.439863], [0.451207, 0.531621, -0.220756, 0.004953, 0.013158, -0.593517], [-0.05224, 0.501131, -0.178604, 0.454602, 0.529556, 0.13602], [-0.356846, -0.414675, 0.6898, -0.378034, -0.001646, -0.429346]], "network.6.bias": [0.382386, 0.258872, 0.233231, -0.199732, 0.213878, 0.156484], "network.8.weight": [[-0.274567, 0.319451, -0.698007, 0.059261, 0.339702, -0.753781]], "network.8.bias": [0.28327]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025384902954102, "train_acc": 0.435, "val_loss": 0.6880980730056763, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831613183021545, "train_acc": 0.565, "val_loss": 0.6696557402610779, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6688477694988251, "train_acc": 0.565, "val_loss": 0.6505634188652039, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6865737736225128, "train_acc": 0.48, "val_loss": 0.6542909145355225, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6542292833328247, "train_acc": 0.675, "val_loss": 0.6339176297187805, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6122893691062927, "train_acc": 0.735, "val_loss": 0.5765601396560669, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5497055351734161, "train_acc": 0.76, "val_loss": 0.5012914538383484, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4811098873615265, "train_acc": 0.795, "val_loss": 0.4610251486301422, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4506863206624985, "train_acc": 0.79, "val_loss": 0.39349648356437683, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4389774054288864, "train_acc": 0.815, "val_loss": 0.32551679015159607, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.36098864674568176, "train_acc": 0.845, "val_loss": 0.37886717915534973, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3539554476737976, "train_acc": 0.84, "val_loss": 0.20486709475517273, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3278600126504898, "train_acc": 0.89, "val_loss": 0.17108982801437378, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6880980730056763, "final_val_loss": 0.6505634188652039, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6542909145355225, "final_val_loss": 0.17108982801437378, "initial_val_acc": 0.58, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
37
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7385, "learning_rate": 0.03768603114736421, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.519103,
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-0.034744,
0.266222,
0.773324
],
[
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0.463056,
0.698508
],
[
-0.405145,
0.485325,
0.203856,
0.382231,
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],
[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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0.46677,
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],
[
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]
],
"network.2.bias": [
-0.325727,
0.257809,
0.060299,
0.310672,
-0.32606
],
"network.4.weight": [
[
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0.528933,
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],
[
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],
[
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],
[
0.085771,
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],
[
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]
],
"network.4.bias": [
-0.222409,
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0.097609,
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],
"network.6.weight": [
[
0.171528,
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],
[
0.618768,
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0.173969
],
[
-0.11083,
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0.77582,
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0.225347
],
[
0.074129,
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],
[
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]
],
"network.6.bias": [
-0.39091,
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0.189732,
0.020727,
0.328727
],
"network.8.weight": [
[
0.02361,
-0.470259,
-0.400082,
-0.126493,
0.561966
]
],
"network.8.bias": [
0.317956
]
}
## Activation Signature
### 0
fourier: [[30.840176, 37.982078, 40.982137, 43.515933, 171.445341], [25.652300, 27.372836, 29.847665, 29.993199, 97.442363], [26.502016, 26.579004, 31.588697, 32.322063, 68.779242], [19.283033, 20.086183, 21.266628, 21.341724, 25.579199], [17.822964, 17.992673, 22.807961, 23.595361, 128.173793]]
### 2
fourier: [[8.609609, 9.616256, 10.545422, 12.712418, 107.162034], [32.643686, 35.435780, 43.899214, 45.626702, 209.699769], [21.398566, 23.209929, 25.323667, 27.040154, 173.157745], [27.457072, 28.236540, 32.850603, 38.406990, 63.697003], [13.700212, 15.639053, 16.135480, 20.075014, 154.322183]]
### 4
fourier: [[16.179806, 17.707212, 23.400897, 24.172932, 114.608323], [18.339841, 19.959677, 23.554667, 25.474253, 90.572852], [19.738781, 21.610277, 24.107066, 27.365733, 105.040702], [10.314637, 11.197649, 13.830556, 14.409181, 76.357425], [9.113809, 9.965135, 13.151269, 13.549709, 103.080349]]
### 6
fourier: [[0.928010, 0.939115, 0.959587, 1.212431, 33.423745], [22.536163, 24.416469, 31.482950, 32.230094, 159.298199], [20.896841, 22.630282, 27.239154, 29.859670, 137.553344], [12.228638, 13.192410, 16.451268, 17.427523, 73.612348], [3.284904, 3.387064, 3.440964, 4.183480, 26.277011]]
### 8
fourier: [[21.819774, 23.607967, 28.739591, 31.155239, 95.872531]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.519103,
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-0.034744,
0.266222,
0.773324
],
[
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0.463056,
0.698508
],
[
-0.405145,
0.485325,
0.203856,
0.382231,
-0.589681
],
[
0.599558,
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-0.239155,
0.184353,
-0.219895
],
[
-0.220118,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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0.020394
],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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0.257809,
0.060299,
0.310672,
-0.32606
],
"network.4.weight": [
[
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0.569686,
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0.528933,
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],
[
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],
[
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],
[
0.085771,
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0.00865,
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],
[
0.00417,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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0.145199,
-0.345107,
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],
[
0.618768,
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0.453845,
0.296078,
0.173969
],
[
-0.11083,
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0.77582,
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],
[
0.074129,
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0.311247,
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],
[
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0.21308
]
],
"network.6.bias": [
-0.39091,
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0.189732,
0.020727,
0.328727
],
"network.8.weight": [
[
0.02361,
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-0.400082,
-0.126493,
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]
],
"network.8.bias": [
0.317956
]
}
## Activation Signature
### 0
fourier: [[30.840176, 37.982078, 40.982137, 43.515933, 171.445341], [25.652300, 27.372836, 29.847665, 29.993199, 97.442363], [26.502016, 26.579004, 31.588697, 32.322063, 68.779242], [19.283033, 20.086183, 21.266628, 21.341724, 25.579199], [17.822964, 17.992673, 22.807961, 23.595361, 128.173793]]
### 2
fourier: [[8.609609, 9.616256, 10.545422, 12.712418, 107.162034], [32.643686, 35.435780, 43.899214, 45.626702, 209.699769], [21.398566, 23.209929, 25.323667, 27.040154, 173.157745], [27.457072, 28.236540, 32.850603, 38.406990, 63.697003], [13.700212, 15.639053, 16.135480, 20.075014, 154.322183]]
### 4
fourier: [[16.179806, 17.707212, 23.400897, 24.172932, 114.608323], [18.339841, 19.959677, 23.554667, 25.474253, 90.572852], [19.738781, 21.610277, 24.107066, 27.365733, 105.040702], [10.314637, 11.197649, 13.830556, 14.409181, 76.357425], [9.113809, 9.965135, 13.151269, 13.549709, 103.080349]]
### 6
fourier: [[0.928010, 0.939115, 0.959587, 1.212431, 33.423745], [22.536163, 24.416469, 31.482950, 32.230094, 159.298199], [20.896841, 22.630282, 27.239154, 29.859670, 137.553344], [12.228638, 13.192410, 16.451268, 17.427523, 73.612348], [3.284904, 3.387064, 3.440964, 4.183480, 26.277011]]
### 8
fourier: [[21.819774, 23.607967, 28.739591, 31.155239, 95.872531]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.519103, -0.069871, -0.034744, 0.266222, 0.773324], [-0.126724, -0.24695, -0.101253, 0.463056, 0.698508], [-0.405145, 0.485325, 0.203856, 0.382231, -0.589681], [0.599558, -0.171739, -0.239155, 0.184353, -0.219895], [-0.220118, -0.266678, -0.315832, -0.01676, -0.119772]], "network.0.bias": [-0.065816, 0.047409, -0.134209, 0.22648, 0.179116], "network.2.weight": [[-0.256541, 0.092051, -0.25534, -0.343807, 0.020394], [0.653635, 0.63632, -0.081759, 0.177508, -0.115705], [-0.575478, -0.189902, -0.401631, -0.296295, -0.617976], [-0.368193, -0.510286, 0.46677, -0.312995, -0.251324], [-0.429075, 0.047115, -0.332672, -0.414905, -0.291928]], "network.2.bias": [-0.325727, 0.257809, 0.060299, 0.310672, -0.32606], "network.4.weight": [[-0.361781, 0.569686, -0.197661, 0.528933, -0.209499], [-0.179615, 0.527496, -0.030187, -0.234468, 0.119766], [-0.180594, 0.528896, -0.070017, -0.511194, 0.207805], [0.085771, -0.314725, -0.065762, 0.00865, 0.161807], [0.00417, -0.318865, 0.444376, -0.282966, 0.00196]], "network.4.bias": [-0.222409, -0.148021, 0.097609, -0.117863, -0.312257], "network.6.weight": [[0.171528, -0.35608, 0.145199, -0.345107, -0.096482], [0.618768, 0.24362, 0.453845, 0.296078, 0.173969], [-0.11083, 0.486491, 0.77582, -0.125656, 0.225347], [0.074129, 0.39158, 0.230693, 0.311247, -0.037803], [0.496293, -0.278877, -0.299967, 0.450862, 0.21308]], "network.6.bias": [-0.39091, 0.159977, 0.189732, 0.020727, 0.328727], "network.8.weight": [[0.02361, -0.470259, -0.400082, -0.126493, 0.561966]], "network.8.bias": [0.317956]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899383366107941, "train_acc": 0.55, "val_loss": 0.669598400592804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6703197360038757, "train_acc": 0.55, "val_loss": 0.6223757266998291, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6388114094734192, "train_acc": 0.485, "val_loss": 0.5395306944847107, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5618119835853577, "train_acc": 0.7, "val_loss": 0.4471993148326874, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.46977782249450684, "train_acc": 0.825, "val_loss": 0.38516560196876526, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3978172242641449, "train_acc": 0.86, "val_loss": 0.35684165358543396, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3266897350549698, "train_acc": 0.89, "val_loss": 0.3391169607639313, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2933659553527832, "train_acc": 0.885, "val_loss": 0.32974720001220703, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2891065627336502, "train_acc": 0.89, "val_loss": 0.3359796106815338, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2966788411140442, "train_acc": 0.885, "val_loss": 0.45272189378738403, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.2905609607696533, "train_acc": 0.885, "val_loss": 0.39737990498542786, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.669598400592804, "final_val_loss": 0.6223757266998291, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5395306944847107, "final_val_loss": 0.39737990498542786, "initial_val_acc": 0.8, "final_val_acc": 0.84, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.3799999999999999, "first_improvement_epoch": 1}}
|
38
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1532, "learning_rate": 0.041473734597374516, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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}
## Activation Signature
### 0
fourier: [[22.379028, 22.549832, 22.881454, 24.987038, 164.179710], [27.352599, 27.898596, 30.528913, 35.079128, 54.829752], [18.586569, 20.954839, 22.752026, 25.569917, 165.649714], [28.911945, 29.229244, 30.620102, 34.543925, 35.441355], [24.941076, 26.136100, 26.497560, 32.417669, 72.861022], [19.075549, 19.897533, 25.167538, 25.778218, 26.002091]]
### 2
fourier: [[4.753638, 5.813984, 6.067751, 7.978326, 16.221460], [9.345407, 9.612824, 9.682503, 10.627420, 74.423935], [13.330688, 13.942621, 14.976002, 15.618448, 41.830272], [19.967845, 22.533202, 23.994034, 28.298761, 153.571742], [23.186699, 26.109978, 28.426089, 29.070430, 32.812136], [13.331008, 15.091068, 15.173586, 17.776023, 53.960041]]
### 4
fourier: [[11.501618, 11.747061, 14.591098, 16.881639, 17.432756], [21.833110, 23.260355, 28.350658, 28.787967, 91.169147], [7.727361, 7.883855, 9.213336, 9.997893, 42.357786], [7.606549, 7.950794, 9.042991, 9.522014, 30.977246], [10.802561, 11.315867, 13.451471, 15.615432, 16.422394], [2.143195, 2.173599, 2.204271, 3.504115, 51.023629]]
### 6
fourier: [[22.288276, 25.219242, 29.897157, 31.184137, 58.404521], [19.096680, 21.609597, 25.658177, 26.724799, 84.909853], [14.589742, 15.704844, 18.704277, 19.539506, 47.447238], [12.899540, 13.995759, 15.452595, 17.639725, 19.503573], [16.017935, 17.553186, 20.095761, 23.544420, 25.034258], [14.572736, 15.082004, 17.647716, 19.893991, 22.389785]]
### 8
fourier: [[14.294064, 15.833004, 17.513648, 19.590318, 23.280669], [21.209948, 24.325789, 27.948991, 30.668667, 31.557035], [36.281055, 40.485435, 47.694582, 50.334742, 114.715270], [27.807391, 31.824225, 36.406507, 37.063671, 41.217213], [19.045172, 22.050049, 25.346375, 28.489405, 49.505838], [21.036748, 21.069789, 23.998943, 27.374582, 31.214171]]
### 10
fourier: [[35.634519, 37.130827, 43.805740, 45.221890, 99.911111], [45.242257, 46.923555, 55.732772, 57.212305, 126.253956], [45.734092, 49.069739, 57.695383, 60.628780, 125.097282], [34.640112, 35.282375, 42.121452, 42.785198, 93.298602], [1.572279, 1.644850, 1.672622, 1.943805, 37.230587], [17.439360, 18.853971, 21.149476, 23.938093, 28.114456]]
### 12
fourier: [[63.852628, 64.864803, 77.388149, 77.872269, 178.357554]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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],
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],
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}
## Activation Signature
### 0
fourier: [[22.379028, 22.549832, 22.881454, 24.987038, 164.179710], [27.352599, 27.898596, 30.528913, 35.079128, 54.829752], [18.586569, 20.954839, 22.752026, 25.569917, 165.649714], [28.911945, 29.229244, 30.620102, 34.543925, 35.441355], [24.941076, 26.136100, 26.497560, 32.417669, 72.861022], [19.075549, 19.897533, 25.167538, 25.778218, 26.002091]]
### 2
fourier: [[4.753638, 5.813984, 6.067751, 7.978326, 16.221460], [9.345407, 9.612824, 9.682503, 10.627420, 74.423935], [13.330688, 13.942621, 14.976002, 15.618448, 41.830272], [19.967845, 22.533202, 23.994034, 28.298761, 153.571742], [23.186699, 26.109978, 28.426089, 29.070430, 32.812136], [13.331008, 15.091068, 15.173586, 17.776023, 53.960041]]
### 4
fourier: [[11.501618, 11.747061, 14.591098, 16.881639, 17.432756], [21.833110, 23.260355, 28.350658, 28.787967, 91.169147], [7.727361, 7.883855, 9.213336, 9.997893, 42.357786], [7.606549, 7.950794, 9.042991, 9.522014, 30.977246], [10.802561, 11.315867, 13.451471, 15.615432, 16.422394], [2.143195, 2.173599, 2.204271, 3.504115, 51.023629]]
### 6
fourier: [[22.288276, 25.219242, 29.897157, 31.184137, 58.404521], [19.096680, 21.609597, 25.658177, 26.724799, 84.909853], [14.589742, 15.704844, 18.704277, 19.539506, 47.447238], [12.899540, 13.995759, 15.452595, 17.639725, 19.503573], [16.017935, 17.553186, 20.095761, 23.544420, 25.034258], [14.572736, 15.082004, 17.647716, 19.893991, 22.389785]]
### 8
fourier: [[14.294064, 15.833004, 17.513648, 19.590318, 23.280669], [21.209948, 24.325789, 27.948991, 30.668667, 31.557035], [36.281055, 40.485435, 47.694582, 50.334742, 114.715270], [27.807391, 31.824225, 36.406507, 37.063671, 41.217213], [19.045172, 22.050049, 25.346375, 28.489405, 49.505838], [21.036748, 21.069789, 23.998943, 27.374582, 31.214171]]
### 10
fourier: [[35.634519, 37.130827, 43.805740, 45.221890, 99.911111], [45.242257, 46.923555, 55.732772, 57.212305, 126.253956], [45.734092, 49.069739, 57.695383, 60.628780, 125.097282], [34.640112, 35.282375, 42.121452, 42.785198, 93.298602], [1.572279, 1.644850, 1.672622, 1.943805, 37.230587], [17.439360, 18.853971, 21.149476, 23.938093, 28.114456]]
### 12
fourier: [[63.852628, 64.864803, 77.388149, 77.872269, 178.357554]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.379027570109304, 22.549832175924635, 22.881453735033002, 24.987038454850673, 164.17971022427082]}, "1": {"fourier": [27.35259869027599, 27.898596237000792, 30.528913334070683, 35.07912847768572, 54.82975164800882]}, "2": {"fourier": [18.58656850215713, 20.95483936071501, 22.752025824462105, 25.56991678412005, 165.6497135311365]}, "3": {"fourier": [28.91194505392104, 29.22924362695001, 30.620101605962475, 34.5439246332431, 35.44135468304826]}, "4": {"fourier": [24.941076440566277, 26.13609962700002, 26.497560177289852, 32.41766910525978, 72.86102211475372]}, "5": {"fourier": [19.075549420317152, 19.897533223082537, 25.16753832795584, 25.778217777865184, 26.002090666173032]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [4.753638365804738, 5.813984276000464, 6.067751491801751, 7.978325669082374, 16.221459686756134]}, "1": {"fourier": 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{"fourier": [63.85262790512462, 64.86480312686444, 77.38814885410717, 77.872269427072, 178.35755379498005]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.085435, 0.173153, 0.348996, 0.54866, -0.389164], [0.460342, 0.003463, 0.108815, -0.073066, -0.941834], [-0.006456, -0.393867, -0.086788, -0.351995, 0.025418], [0.785914, -0.145012, 0.044223, -0.141548, -0.716916], [-0.32452, 0.012529, 0.044578, 0.151988, 0.792546], [-0.308998, 0.254958, 0.235645, -0.024623, -0.591885]], "network.0.bias": [0.189398, -0.097422, -0.210029, 0.163826, -0.205937, 0.344798], "network.2.weight": [[-0.189963, -0.222924, -0.274317, 0.029582, -0.131922, 0.327441], [-0.283098, 0.422975, 0.10771, 0.074582, 0.057546, -0.021302], [-0.396085, 0.166351, -0.458274, -0.009399, -0.386484, -0.312899], [0.107077, 0.634956, 0.061358, 0.767188, 0.509356, 0.199327], [0.449195, -0.417075, 0.240774, -0.673822, -0.415614, 0.447174], [0.11838, -0.391331, 0.573591, -0.156922, -0.241884, 0.553407]], "network.2.bias": [0.146348, -0.498478, 0.678926, 0.429092, 0.047093, -0.643843], "network.4.weight": [[-0.047812, 0.044466, -0.085628, -0.397353, 0.391043, 0.121167], [-0.342749, -0.234126, -0.166246, 0.759028, -0.451602, -0.283257], [-0.547425, -0.496975, -0.428077, 0.153649, -0.418907, 0.388495], [-0.386569, 0.147846, 0.414848, -0.025298, 0.467191, 0.392349], [-0.092744, -0.494469, 0.148061, -0.315248, 0.541905, -0.361146], [-0.085782, 0.075064, 0.074908, 0.089166, 0.048584, 0.155647]], "network.4.bias": [0.28562, 0.062097, 0.449369, 0.062876, 0.032708, 0.393798], "network.6.weight": [[-0.573957, 0.685983, 0.36907, -0.347292, -0.438179, 0.199667], [-0.062182, 0.606448, 0.290051, -0.27065, -0.789273, 0.135509], [0.129907, 0.364124, 0.631165, -0.49403, -0.135478, 0.318592], [-0.012816, -0.513836, 0.127912, 0.619663, 0.276968, 0.279974], [0.184789, -0.699296, -0.02242, 0.61141, -0.017715, 0.274452], [0.162203, -0.352862, -0.255752, 0.65913, 0.647296, -0.011794]], "network.6.bias": [-0.003517, 0.38556, -0.049959, 0.277206, 0.353901, 0.247151], "network.8.weight": [[0.087885, -0.434585, -0.11993, 0.355853, 0.283205, 0.45549], [0.268107, 0.621642, -0.21604, -0.451002, -0.896712, 0.130962], [0.551332, 0.748781, 0.35265, -0.441248, -0.236337, -0.433386], [0.149822, 0.589304, 0.283314, -0.771867, -0.438128, -0.412839], [-0.336527, -0.212096, -0.160995, 0.183852, 0.759456, 0.163045], [-0.526538, 0.184267, -0.406153, 0.432703, 0.421894, 0.543028]], "network.8.bias": [0.000543, 0.031174, 0.302009, 0.093292, -0.342036, 0.257934], "network.10.weight": [[-0.172292, 0.166771, 0.777969, 0.067063, 0.361086, -0.466245], [-0.273643, 0.099477, 0.701109, 0.658773, 0.138702, -0.379693], [-0.170108, 0.264088, 0.770102, 0.408789, -0.143059, -0.524263], [-0.114831, 0.250445, -0.541554, -0.785239, 0.217632, 0.259633], [0.023747, -0.266705, -0.175568, 0.453047, -0.198655, 0.11839], [0.455412, -0.533792, -0.150064, 0.071107, 0.49932, 0.191121]], "network.10.bias": [0.048631, 0.008934, 0.098142, 0.122766, -0.411852, 0.052969], "network.12.weight": [[-0.389659, -0.617353, -0.534821, 0.141597, 0.051405, 0.333353]], "network.12.bias": [0.334703]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7165943086147308, "train_acc": 0.42, "val_loss": 0.6914291381835938, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.689685732126236, "train_acc": 0.48, "val_loss": 0.7185633182525635, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6690956056118011, "train_acc": 0.58, "val_loss": 0.7365984320640564, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6471180617809296, "train_acc": 0.58, "val_loss": 0.6426219344139099, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5576528906822205, "train_acc": 0.595, "val_loss": 0.5254836082458496, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4974583685398102, "train_acc": 0.77, "val_loss": 0.4233132600784302, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.41619516909122467, "train_acc": 0.785, "val_loss": 0.3515796959400177, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.39140765368938446, "train_acc": 0.81, "val_loss": 0.28044137358665466, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35219986736774445, "train_acc": 0.845, "val_loss": 0.3327111303806305, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3397182524204254, "train_acc": 0.85, "val_loss": 0.25591835379600525, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.31311696767807007, "train_acc": 0.87, "val_loss": 0.23832584917545319, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.29189564287662506, "train_acc": 0.875, "val_loss": 0.22779197990894318, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3106839656829834, "train_acc": 0.885, "val_loss": 0.2178630828857422, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2675965800881386, "train_acc": 0.875, "val_loss": 0.25857678055763245, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6914291381835938, "final_val_loss": 0.6426219344139099, "initial_val_acc": 0.56, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5254836082458496, "final_val_loss": 0.25857678055763245, "initial_val_acc": 0.8, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
39
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1221, "learning_rate": 0.0691798830068229, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[37.948094, 38.386165, 40.868360, 50.382549, 122.106118], [20.649998, 24.499867, 26.033374, 31.830918, 109.323375], [26.672206, 28.117109, 32.849585, 38.032059, 141.843250], [16.888122, 18.527838, 19.117994, 19.743761, 74.770300], [30.862073, 40.521544, 41.002688, 44.117307, 205.783324]]
### 2
fourier: [[28.257119, 31.451501, 32.274290, 34.089031, 38.474891], [23.298909, 30.740380, 31.922722, 38.224117, 67.466818], [30.048532, 30.900801, 37.953858, 43.971011, 184.446805], [20.808168, 22.255712, 22.791850, 26.643667, 50.808275], [25.391783, 28.556904, 33.151991, 34.416032, 95.535479]]
### 4
fourier: [[4.529812, 4.761419, 5.260379, 5.706740, 37.890246], [38.337399, 39.078050, 47.885178, 54.288330, 139.987381], [21.840615, 23.429420, 25.809664, 29.277486, 41.672731], [25.729089, 31.564506, 36.328941, 36.531163, 37.283040], [41.549774, 41.964388, 52.080351, 59.713343, 214.612205]]
### 6
fourier: [[61.217084, 63.598787, 74.712153, 80.046567, 291.371837], [28.161367, 29.653304, 34.574459, 35.716018, 61.141422], [9.331843, 9.468172, 11.135608, 13.742619, 13.997782], [4.975762, 5.046143, 5.179044, 7.027095, 66.960986], [27.611725, 28.379091, 33.258144, 36.677630, 78.546141]]
### 8
fourier: [[50.650044, 53.159231, 61.850008, 63.263366, 269.828973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.704174
],
[
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],
[
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],
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],
"network.0.bias": [
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}
## Activation Signature
### 0
fourier: [[37.948094, 38.386165, 40.868360, 50.382549, 122.106118], [20.649998, 24.499867, 26.033374, 31.830918, 109.323375], [26.672206, 28.117109, 32.849585, 38.032059, 141.843250], [16.888122, 18.527838, 19.117994, 19.743761, 74.770300], [30.862073, 40.521544, 41.002688, 44.117307, 205.783324]]
### 2
fourier: [[28.257119, 31.451501, 32.274290, 34.089031, 38.474891], [23.298909, 30.740380, 31.922722, 38.224117, 67.466818], [30.048532, 30.900801, 37.953858, 43.971011, 184.446805], [20.808168, 22.255712, 22.791850, 26.643667, 50.808275], [25.391783, 28.556904, 33.151991, 34.416032, 95.535479]]
### 4
fourier: [[4.529812, 4.761419, 5.260379, 5.706740, 37.890246], [38.337399, 39.078050, 47.885178, 54.288330, 139.987381], [21.840615, 23.429420, 25.809664, 29.277486, 41.672731], [25.729089, 31.564506, 36.328941, 36.531163, 37.283040], [41.549774, 41.964388, 52.080351, 59.713343, 214.612205]]
### 6
fourier: [[61.217084, 63.598787, 74.712153, 80.046567, 291.371837], [28.161367, 29.653304, 34.574459, 35.716018, 61.141422], [9.331843, 9.468172, 11.135608, 13.742619, 13.997782], [4.975762, 5.046143, 5.179044, 7.027095, 66.960986], [27.611725, 28.379091, 33.258144, 36.677630, 78.546141]]
### 8
fourier: [[50.650044, 53.159231, 61.850008, 63.263366, 269.828973]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.060675, 0.586844, 0.135642, 0.597933, -1.069736], [-0.038036, 0.24104, -0.16198, 0.169252, 0.704174], [-0.114139, -0.505356, 0.089239, -0.444709, 0.492247], [0.45712, -0.053034, -0.196223, -0.14082, -0.323921], [0.309349, 0.411719, -0.002365, 0.212201, 0.821854]], "network.0.bias": [0.116647, -0.070266, -0.352985, -0.19163, -0.312464], "network.2.weight": [[0.628066, -0.37152, 0.105534, -0.230022, -0.371375], [0.291621, -0.906227, 0.258755, 0.143025, -0.150378], [-0.100635, 0.608537, 0.278632, 0.456809, 0.487764], [0.618695, -0.202111, 0.243139, -0.640923, -0.046426], [-0.473139, 0.075676, -0.021197, 0.515663, 0.533424]], "network.2.bias": [0.294024, 0.112001, 0.37109, -0.180564, 0.587825], "network.4.weight": [[-0.026876, 0.097039, -0.021944, 0.216856, -0.038585], [-0.286769, 0.34483, 0.514296, -0.065693, 0.836209], [-0.202352, 0.111284, -0.26707, 0.533132, -0.394659], [0.428099, 0.46521, -0.199823, 0.409713, -0.551387], [-0.120308, 0.127357, 0.468133, -0.064699, 1.089596]], "network.4.bias": [-0.482276, -0.189213, 0.256214, 0.125927, 0.350976], "network.6.weight": [[-0.462389, 0.476145, -0.152846, -0.687648, 0.804781], [-0.649818, -0.080888, 0.122696, 0.45697, -0.463771], [-0.55726, 0.146324, 0.572629, 0.478223, -0.192508], [-0.194969, 0.295658, -0.516289, -0.030173, -0.402969], [0.17991, -0.407093, -0.089965, 0.323892, -0.207441]], "network.6.bias": [0.959547, 0.173234, -0.137474, -0.207911, 0.123319], "network.8.weight": [[-0.759245, 0.376702, 0.29309, 0.3388, 0.296348]], "network.8.bias": [-0.640699]}}
|
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|
40
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268451656, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[31.432374, 34.756997, 38.921530, 39.377380, 224.916317], [37.874183, 43.948635, 52.701664, 55.084418, 318.901197], [19.623246, 19.673181, 22.572100, 22.765640, 177.863891], [28.714507, 28.847579, 34.203058, 39.265782, 110.234535], [25.887427, 27.534698, 28.939620, 29.393812, 135.586975], [22.152223, 26.517431, 29.688626, 31.941554, 73.423791]]
### 2
fourier: [[14.915369, 18.089502, 19.642919, 22.691121, 139.388411], [15.055497, 18.087446, 18.330304, 22.655923, 130.193215], [7.429573, 7.527758, 7.669985, 9.759488, 34.491659], [13.648829, 13.907558, 16.964639, 17.111472, 109.783312], [28.356216, 33.736423, 34.146136, 40.180243, 133.442152], [17.353115, 21.827849, 24.797037, 25.686514, 166.706533]]
### 4
fourier: [[8.641718, 9.119123, 9.854129, 11.564561, 19.056463], [17.802422, 18.010927, 21.643772, 25.339418, 54.316798], [16.398917, 18.267090, 19.231329, 22.522715, 133.543833], [10.946911, 11.096936, 12.365684, 14.612544, 52.599581], [18.872860, 19.208671, 21.321198, 25.312431, 39.564561], [7.289490, 8.393243, 8.486109, 10.200732, 11.874959]]
### 6
fourier: [[3.227113, 3.355478, 4.111583, 4.434812, 8.392834], [5.354836, 5.869955, 5.900027, 6.980957, 46.319205], [27.950256, 29.498511, 33.152828, 37.035389, 88.562405], [7.604786, 8.334308, 8.807960, 10.512518, 27.860318], [9.487880, 10.481971, 10.509122, 11.561464, 12.972858], [12.501543, 14.490749, 15.285883, 17.973170, 35.499809]]
### 8
fourier: [[11.227872, 12.591445, 14.651412, 14.868082, 17.707786], [6.696665, 7.405150, 7.707032, 8.861629, 9.815475], [18.731179, 21.757488, 21.983714, 25.959894, 32.941823], [2.053950, 2.389112, 2.465748, 2.503894, 105.764086], [4.306110, 4.774941, 5.012704, 6.120654, 25.583514], [24.293025, 26.558420, 28.783700, 31.810099, 45.984905]]
### 10
fourier: [[9.785368, 10.741217, 12.032693, 14.125670, 20.943796], [5.328574, 5.471730, 5.851726, 6.601232, 7.785677], [12.057258, 13.824813, 14.109472, 15.972528, 19.539005], [20.288793, 23.351877, 23.617870, 27.427303, 29.349532], [4.323484, 4.339782, 4.424449, 4.642644, 5.760795], [11.001487, 12.751212, 14.700099, 14.803803, 17.280334]]
### 12
fourier: [[14.026720, 15.080838, 16.954465, 18.002473, 19.845162]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[31.432374, 34.756997, 38.921530, 39.377380, 224.916317], [37.874183, 43.948635, 52.701664, 55.084418, 318.901197], [19.623246, 19.673181, 22.572100, 22.765640, 177.863891], [28.714507, 28.847579, 34.203058, 39.265782, 110.234535], [25.887427, 27.534698, 28.939620, 29.393812, 135.586975], [22.152223, 26.517431, 29.688626, 31.941554, 73.423791]]
### 2
fourier: [[14.915369, 18.089502, 19.642919, 22.691121, 139.388411], [15.055497, 18.087446, 18.330304, 22.655923, 130.193215], [7.429573, 7.527758, 7.669985, 9.759488, 34.491659], [13.648829, 13.907558, 16.964639, 17.111472, 109.783312], [28.356216, 33.736423, 34.146136, 40.180243, 133.442152], [17.353115, 21.827849, 24.797037, 25.686514, 166.706533]]
### 4
fourier: [[8.641718, 9.119123, 9.854129, 11.564561, 19.056463], [17.802422, 18.010927, 21.643772, 25.339418, 54.316798], [16.398917, 18.267090, 19.231329, 22.522715, 133.543833], [10.946911, 11.096936, 12.365684, 14.612544, 52.599581], [18.872860, 19.208671, 21.321198, 25.312431, 39.564561], [7.289490, 8.393243, 8.486109, 10.200732, 11.874959]]
### 6
fourier: [[3.227113, 3.355478, 4.111583, 4.434812, 8.392834], [5.354836, 5.869955, 5.900027, 6.980957, 46.319205], [27.950256, 29.498511, 33.152828, 37.035389, 88.562405], [7.604786, 8.334308, 8.807960, 10.512518, 27.860318], [9.487880, 10.481971, 10.509122, 11.561464, 12.972858], [12.501543, 14.490749, 15.285883, 17.973170, 35.499809]]
### 8
fourier: [[11.227872, 12.591445, 14.651412, 14.868082, 17.707786], [6.696665, 7.405150, 7.707032, 8.861629, 9.815475], [18.731179, 21.757488, 21.983714, 25.959894, 32.941823], [2.053950, 2.389112, 2.465748, 2.503894, 105.764086], [4.306110, 4.774941, 5.012704, 6.120654, 25.583514], [24.293025, 26.558420, 28.783700, 31.810099, 45.984905]]
### 10
fourier: [[9.785368, 10.741217, 12.032693, 14.125670, 20.943796], [5.328574, 5.471730, 5.851726, 6.601232, 7.785677], [12.057258, 13.824813, 14.109472, 15.972528, 19.539005], [20.288793, 23.351877, 23.617870, 27.427303, 29.349532], [4.323484, 4.339782, 4.424449, 4.642644, 5.760795], [11.001487, 12.751212, 14.700099, 14.803803, 17.280334]]
### 12
fourier: [[14.026720, 15.080838, 16.954465, 18.002473, 19.845162]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.432374461061162, 34.75699654259834, 38.92153049443784, 39.37737985338616, 224.91631677746773]}, "1": {"fourier": [37.874183468268164, 43.94863494386368, 52.70166435485739, 55.08441791237758, 318.9011968448758]}, "2": {"fourier": [19.623246331327245, 19.67318107374121, 22.572100451666717, 22.765639953309986, 177.8638909459114]}, "3": {"fourier": [28.714507266858604, 28.84757921079897, 34.203057582581906, 39.265781886328206, 110.23453491926193]}, "4": {"fourier": [25.887427264708844, 27.53469796703551, 28.939620132693864, 29.393812048484747, 135.58697526156902]}, "5": {"fourier": [22.15222262982167, 26.51743128277847, 29.688626123777507, 31.94155369222991, 73.42379093170166]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [14.91536944109538, 18.089501760626142, 19.64291932039487, 22.69112134420066, 139.38841059803963]}, "1": {"fourier": [15.05549722436605, 18.08744606710007, 18.330304443930284, 22.655923066682348, 130.1932145357132]}, "2": {"fourier": [7.429572765945221, 7.527757973548761, 7.669984964938376, 9.759487925862732, 34.491659216582775]}, "3": {"fourier": [13.64882929770396, 13.907557649026172, 16.964638939194277, 17.111471722791233, 109.78331203758717]}, "4": {"fourier": [28.356215692383387, 33.736422714891226, 34.14613640039705, 40.18024289786632, 133.44215166568756]}, "5": {"fourier": [17.35311536445394, 21.827849480918452, 24.797036528935237, 25.68651373278541, 166.7065325975418]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [8.641717832465833, 9.119122681891126, 9.854128845262855, 11.564560993065866, 19.056462556123734]}, "1": {"fourier": [17.80242207962345, 18.010927164726215, 21.643771938522963, 25.33941832463399, 54.316798344254494]}, "2": {"fourier": [16.398917468223267, 18.267090463631522, 19.231328936547968, 22.52271531581724, 133.54383343458176]}, "3": {"fourier": [10.946911495342684, 11.096936324192377, 12.365684190434276, 14.612544315772858, 52.59958137571812]}, "4": {"fourier": [18.872860099478366, 19.208671158815616, 21.32119779262037, 25.312431081177753, 39.564561262726784]}, "5": {"fourier": [7.2894895403502264, 8.393243184681992, 8.486109208183112, 10.200731673099263, 11.874958710955799]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [3.2271131640386335, 3.3554779658559557, 4.111582754356985, 4.43481192668641, 8.392833981662989]}, "1": {"fourier": [5.354836389160325, 5.869955171640423, 5.900026765722515, 6.980956963457644, 46.31920450925827]}, "2": {"fourier": [27.95025630553571, 29.49851066498495, 33.15282808931808, 37.03538933527881, 88.56240500509739]}, "3": {"fourier": [7.60478574927374, 8.334308190986556, 8.807959616196129, 10.512517836228444, 27.860317915678024]}, "4": {"fourier": [9.487880223643357, 10.481970727443695, 10.509121625213977, 11.561464463318517, 12.972858402585276]}, "5": {"fourier": [12.501543214325004, 14.490749391058579, 15.285882545484565, 17.97316992932847, 35.49980886280537]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [11.227871637520765, 12.591444642190655, 14.651412214945907, 14.86808176660297, 17.70778606351342]}, "1": {"fourier": [6.696664667725948, 7.405150097754468, 7.707032130256512, 8.861628550379267, 9.81547537446022]}, "2": {"fourier": [18.731179214651167, 21.757487656047232, 21.98371371637675, 25.959893885032145, 32.94182303547859]}, "3": {"fourier": [2.0539502860662036, 2.389112314030834, 2.465748372299013, 2.503894063819012, 105.76408594846725]}, "4": {"fourier": [4.306110409884471, 4.774941373858816, 5.012703862650913, 6.120654029954497, 25.58351393043995]}, "5": {"fourier": [24.293024537647923, 26.55841968820733, 28.783700210185504, 31.810098550660527, 45.98490510880947]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [9.785368442572219, 10.741216583699286, 12.032693281077316, 14.1256699247855, 20.943796262145042]}, "1": {"fourier": [5.328574123598032, 5.471730336546898, 5.8517255594937225, 6.601231654141115, 7.785677468057672]}, "2": {"fourier": [12.057258193008744, 13.824813273180153, 14.10947232072933, 15.972528269322739, 19.539004556834698]}, "3": {"fourier": [20.288793026861335, 23.35187686829859, 23.617869699042764, 27.427303060971813, 29.34953172504902]}, "4": {"fourier": [4.323484203820311, 4.339781519435208, 4.424449165868138, 4.642643955804205, 5.760794903903311]}, "5": {"fourier": [11.001487482016541, 12.751212035655882, 14.700098755772476, 14.803803028814654, 17.28033362758098]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [14.026720002293587, 15.0808381081094, 16.95446484613353, 18.00247318365884, 19.845162457661228]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.536884, -0.195845, -0.052652, -0.219638, -0.569121], [0.662098, -0.063533, 0.327448, 0.585535, 0.66716], [-0.092876, -0.128111, -0.525317, -0.198149, -0.017437], [-0.158489, -0.150274, -0.152027, 0.1086, -0.819298], [-0.088545, 0.357952, -0.749498, -0.104551, -0.051533], [-0.375879, 0.006979, 0.450889, 0.273872, -0.655182]], "network.0.bias": [-0.191171, 0.072695, -0.083485, 0.341385, -0.195222, 0.54976], "network.2.weight": [[-0.381215, -0.354351, 0.224177, 0.107224, -0.625709, 0.149037], [0.117123, -0.334886, 0.232617, 0.149452, -0.529798, 0.226881], [-0.293785, 0.034499, 0.134768, -0.190817, -0.308795, 0.427477], [0.323515, -0.256135, -0.386335, 0.100752, -0.006915, -0.73182], [0.853658, 0.59187, -0.249195, 0.300846, 0.144585, -0.457865], [0.045421, -0.45782, 0.467874, -0.403609, -0.417341, 0.116804]], "network.2.bias": [-0.47595, -0.491102, -0.18615, 0.42358, -0.09674, -0.332188], "network.4.weight": [[-0.024315, -0.241564, 0.036538, 0.034118, -0.274555, -0.019321], [-0.034783, 0.357084, -0.697303, -0.231139, 0.500978, 0.311832], [-0.009199, 0.572067, 0.00544, 0.422008, -0.595146, 0.711729], [-0.016237, 0.411858, -0.11883, -0.08978, 0.317039, 0.566223], [0.212654, 0.671331, -0.186933, -0.520354, 0.55274, 0.510247], [0.068215, -0.483022, 0.331184, -0.115111, -0.234815, 0.058193]], "network.4.bias": [0.577873, 0.131659, -0.463815, 0.236535, -0.218796, 0.237213], "network.6.weight": [[-0.385805, -0.282366, -0.363271, 0.183462, -0.128574, -0.10378], [-0.39388, 0.143608, 0.654261, -0.25098, 0.208606, 0.070242], [-0.424719, 0.55472, 0.75385, 0.298033, 0.801189, -0.073821], [0.272009, -0.086772, -0.469342, -0.222704, -0.103159, 0.214711], [0.096307, -0.565025, -0.734329, 0.143132, -0.049651, -0.009103], [0.348916, -0.306129, -0.926118, 0.482799, -0.540079, 0.620246]], "network.6.bias": [0.121123, -0.4458, 0.227508, 0.398749, 0.336964, 0.394558], "network.8.weight": [[-0.222393, -0.032622, 0.280918, -0.257672, -0.122568, -0.518892], [0.087685, -0.490974, -0.135257, 0.681635, 0.281852, -0.246332], [0.371986, -0.545157, -0.430617, 0.321935, 0.209477, 0.625829], [-0.368663, 0.101827, -0.166015, -0.071591, -0.094116, -0.594817], [-0.344487, -0.188547, -0.062351, 0.377806, 0.139858, 0.090775], [-0.024246, 0.524553, 0.758734, -0.561136, -0.25881, 0.032313]], "network.8.bias": [0.040494, -0.15084, 0.343459, -0.700067, -0.41954, -0.017935], "network.10.weight": [[-0.523958, 0.372415, 0.518194, 0.370704, 0.421123, 0.01619], [-0.012013, -0.043846, 0.402274, 0.257316, -0.178238, -0.097611], [0.775873, -0.402642, -0.210478, -0.009295, 0.016213, 0.121739], [0.635361, -0.527069, -0.660366, 0.173975, 0.214794, 0.385967], [-0.403123, 0.521768, 0.139606, 0.85784, 0.764384, 0.491836], [0.095474, -0.324957, -0.357822, -0.47511, -0.380347, 0.368694]], "network.10.bias": [-0.363269, -0.212185, 0.108832, 0.378591, -0.136333, -0.050358], "network.12.weight": [[0.443158, 0.518892, -0.322782, -0.420823, -0.238827, -0.219002]], "network.12.bias": [0.199651]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7183685004711151, "train_acc": 0.425, "val_loss": 0.6950666904449463, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6756998598575592, "train_acc": 0.575, "val_loss": 0.7380115985870361, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6597025692462921, "train_acc": 0.575, "val_loss": 0.6385900378227234, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7559808194637299, "train_acc": 0.545, "val_loss": 0.4845293462276459, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5035941451787949, "train_acc": 0.785, "val_loss": 0.7131302356719971, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6402134001255035, "train_acc": 0.715, "val_loss": 0.5744735598564148, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5347655117511749, "train_acc": 0.785, "val_loss": 0.5076161026954651, "val_acc": 0.8}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6950666904449463, "final_val_loss": 0.6385900378227234, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.4845293462276459, "final_val_loss": 0.5076161026954651, "initial_val_acc": 0.84, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
41
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.05450317299859903, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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],
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[
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[
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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0.298951
],
[
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],
[
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],
[
0.251925,
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0.312728,
0.740008,
0.864333,
0.412709
],
[
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0.196407,
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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],
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[
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[
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[
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],
"network.6.bias": [
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"network.8.weight": [
[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[31.604203, 36.520977, 37.482754, 43.379897, 68.163211], [38.732548, 40.301246, 50.081305, 50.939854, 145.611868], [29.323718, 29.889985, 32.392267, 34.905832, 71.614162], [26.267119, 26.584469, 26.782342, 28.893995, 91.380301], [34.949534, 35.568371, 36.379072, 38.095414, 45.865212], [44.360870, 50.103745, 51.634014, 61.977764, 223.052988]]
### 2
fourier: [[67.329690, 68.099015, 73.500487, 85.170597, 321.333844], [37.011032, 38.325293, 40.903025, 47.712289, 160.845123], [9.157006, 9.839551, 10.544940, 18.021430, 67.458778], [45.074633, 45.756453, 58.814329, 60.468027, 304.022684], [54.021381, 55.746167, 60.182122, 68.185625, 279.828926], [21.020857, 22.726079, 22.752874, 26.930396, 124.956437]]
### 4
fourier: [[7.627833, 8.258215, 8.404976, 10.470829, 31.269541], [57.846454, 58.596797, 65.460340, 73.462605, 416.868389], [96.357778, 99.788204, 103.816810, 121.691071, 458.159576], [21.564710, 22.639555, 23.913997, 27.312111, 161.646999], [51.674005, 52.335268, 58.000295, 65.576515, 383.544834], [74.317277, 77.158081, 78.321282, 93.626777, 272.185650]]
### 6
fourier: [[54.488498, 56.052117, 57.443666, 68.539037, 184.404204], [67.089695, 68.244547, 69.793651, 84.642155, 279.960263], [68.026793, 70.090926, 72.134505, 85.955020, 291.206159], [50.514806, 51.514559, 52.624666, 63.630250, 167.357582], [52.753457, 53.936701, 54.619917, 66.196864, 190.914638], [86.810383, 89.140098, 91.027036, 109.183621, 339.374472]]
### 8
fourier: [[70.583375, 70.741438, 71.277936, 88.870315, 220.895937]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.707338,
-0.200436,
-0.366494,
0.001406,
0.724172
],
[
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-0.246539,
0.003245,
1.020816
],
[
0.879995,
-0.210861,
-0.22153,
-0.054285,
-0.38302
],
[
0.441049,
-0.593536,
-0.131759,
0.235613,
-0.64688
],
[
-0.760557,
-0.554587,
-0.046322,
0.432207,
0.699864
],
[
0.949907,
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-0.219927,
0.29528,
0.952165
]
],
"network.0.bias": [
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0.201101,
-0.455028,
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0.381837,
0.368515
],
"network.2.weight": [
[
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0.224109,
0.317503,
0.842247,
1.049954,
0.791858
],
[
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0.607838,
0.638056,
0.675963,
0.298951
],
[
0.590896,
0.073535,
0.11725,
0.133816,
0.527939,
-0.502526
],
[
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0.223711,
0.906052,
-0.292618,
-0.573117
],
[
0.251925,
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0.312728,
0.740008,
0.864333,
0.412709
],
[
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0.196407,
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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0.599535,
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],
[
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0.092842,
0.641657,
-0.336662
],
[
0.002928,
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0.069081,
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],
[
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0.171237,
0.456214,
1.214246,
-0.508746,
0.834696
],
[
-0.807207,
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0.091241,
-0.070462
]
],
"network.4.bias": [
-0.073998,
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-0.075831,
-0.658838,
-1.032946,
0.592092
],
"network.6.weight": [
[
0.288128,
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-0.207204,
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0.346596
],
[
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0.643785,
0.023152,
0.309149,
-1.080144
],
[
0.220597,
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0.668315,
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],
[
0.023704,
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0.637735
],
[
0.334713,
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-0.528641,
-0.762115,
-0.606241,
0.579838
],
[
0.355155,
-1.028064,
-0.879914,
-0.664973,
-0.431292,
0.685104
]
],
"network.6.bias": [
0.62783,
0.043073,
-0.094137,
0.471876,
0.226278,
0.342634
],
"network.8.weight": [
[
0.428752,
-0.665895,
-0.316052,
0.449092,
0.29512,
0.414737
]
],
"network.8.bias": [
0.39631
]
}
## Activation Signature
### 0
fourier: [[31.604203, 36.520977, 37.482754, 43.379897, 68.163211], [38.732548, 40.301246, 50.081305, 50.939854, 145.611868], [29.323718, 29.889985, 32.392267, 34.905832, 71.614162], [26.267119, 26.584469, 26.782342, 28.893995, 91.380301], [34.949534, 35.568371, 36.379072, 38.095414, 45.865212], [44.360870, 50.103745, 51.634014, 61.977764, 223.052988]]
### 2
fourier: [[67.329690, 68.099015, 73.500487, 85.170597, 321.333844], [37.011032, 38.325293, 40.903025, 47.712289, 160.845123], [9.157006, 9.839551, 10.544940, 18.021430, 67.458778], [45.074633, 45.756453, 58.814329, 60.468027, 304.022684], [54.021381, 55.746167, 60.182122, 68.185625, 279.828926], [21.020857, 22.726079, 22.752874, 26.930396, 124.956437]]
### 4
fourier: [[7.627833, 8.258215, 8.404976, 10.470829, 31.269541], [57.846454, 58.596797, 65.460340, 73.462605, 416.868389], [96.357778, 99.788204, 103.816810, 121.691071, 458.159576], [21.564710, 22.639555, 23.913997, 27.312111, 161.646999], [51.674005, 52.335268, 58.000295, 65.576515, 383.544834], [74.317277, 77.158081, 78.321282, 93.626777, 272.185650]]
### 6
fourier: [[54.488498, 56.052117, 57.443666, 68.539037, 184.404204], [67.089695, 68.244547, 69.793651, 84.642155, 279.960263], [68.026793, 70.090926, 72.134505, 85.955020, 291.206159], [50.514806, 51.514559, 52.624666, 63.630250, 167.357582], [52.753457, 53.936701, 54.619917, 66.196864, 190.914638], [86.810383, 89.140098, 91.027036, 109.183621, 339.374472]]
### 8
fourier: [[70.583375, 70.741438, 71.277936, 88.870315, 220.895937]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.604203284415092, 36.520976750922436, 37.48275428644706, 43.379896814517046, 68.16321094334126]}, "1": {"fourier": [38.73254792701077, 40.30124584323844, 50.0813046090591, 50.939853608425786, 145.61186803877354]}, "2": {"fourier": [29.32371764237207, 29.889985158345333, 32.392267097169054, 34.90583176683746, 71.6141619682312]}, "3": {"fourier": [26.2671187887983, 26.584469296388693, 26.78234202653274, 28.893995210257224, 91.38030129671097]}, "4": {"fourier": [34.949534210805055, 35.56837134419352, 36.379071981932015, 38.09541392051688, 45.86521172928637]}, "5": {"fourier": [44.36086966500047, 50.10374497047986, 51.634013793452766, 61.977763840018596, 223.05298756062984]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [67.32968955048307, 68.09901468945789, 73.50048650374742, 85.1705968247307, 321.3338438272476]}, "1": {"fourier": [37.01103216148448, 38.325292873422, 40.903025499234545, 47.71228881577049, 160.84512285888195]}, "2": {"fourier": [9.157005935793801, 9.839550533009724, 10.544940192818641, 18.02143025122444, 67.45877775549889]}, "3": {"fourier": [45.074632977202214, 45.75645271706357, 58.81432924099734, 60.46802684669983, 304.0226837992668]}, "4": {"fourier": [54.021380831600474, 55.746167401662554, 60.18212192885331, 68.18562476565249, 279.8289258480072]}, "5": {"fourier": [21.020856863060825, 22.726078803739732, 22.752874257568113, 26.93039603466881, 124.95643697679043]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [7.627833479549128, 8.258214743849136, 8.404975871107027, 10.470828812748525, 31.269540529698133]}, "1": {"fourier": [57.84645437266669, 58.59679725375341, 65.4603403288623, 73.46260541221883, 416.8683888912201]}, "2": {"fourier": [96.35777823331169, 99.78820382236377, 103.81681047590133, 121.69107120694184, 458.15957647562027]}, "3": {"fourier": [21.56470996591608, 22.639554917318062, 23.913997424215278, 27.3121108259044, 161.6469994187355]}, "4": {"fourier": [51.674004649674515, 52.335268452591144, 58.00029513792393, 65.57651509281364, 383.5448341369629]}, "5": {"fourier": [74.31727689105279, 77.15808092966748, 78.32128236477315, 93.62677691279883, 272.185650408268]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [54.488497555539546, 56.05211668302939, 57.44366605144673, 68.5390372009847, 184.40420380234718]}, "1": {"fourier": [67.08969546789208, 68.24454660370553, 69.79365054533378, 84.6421549960125, 279.9602634906769]}, "2": {"fourier": [68.02679294744503, 70.09092583570515, 72.13450547626611, 85.95501954477037, 291.20615930855274]}, "3": {"fourier": [50.51480573437883, 51.514559360442476, 52.62466590980045, 63.63025041248645, 167.35758210718632]}, "4": {"fourier": [52.753456537064444, 53.93670130494847, 54.61991658383061, 66.1968639714657, 190.9146376401186]}, "5": {"fourier": [86.81038342355657, 89.14009797117222, 91.02703557276936, 109.18362077625738, 339.37447169423103]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [70.58337546937429, 70.74143751604373, 71.27793561751433, 88.87031472468182, 220.89593675732613]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.707338, -0.200436, -0.366494, 0.001406, 0.724172], [0.636675, -0.069405, -0.246539, 0.003245, 1.020816], [0.879995, -0.210861, -0.22153, -0.054285, -0.38302], [0.441049, -0.593536, -0.131759, 0.235613, -0.64688], [-0.760557, -0.554587, -0.046322, 0.432207, 0.699864], [0.949907, -0.230706, -0.219927, 0.29528, 0.952165]], "network.0.bias": [0.111772, 0.201101, -0.455028, 0.085148, 0.381837, 0.368515], "network.2.weight": [[0.251264, 0.224109, 0.317503, 0.842247, 1.049954, 0.791858], [0.232754, 0.112485, 0.607838, 0.638056, 0.675963, 0.298951], [0.590896, 0.073535, 0.11725, 0.133816, 0.527939, -0.502526], [-0.0618, -0.451985, 0.223711, 0.906052, -0.292618, -0.573117], [0.251925, 0.406738, 0.312728, 0.740008, 0.864333, 0.412709], [-0.02377, -0.039623, -0.258503, 0.196407, -0.281144, -0.293491]], "network.2.bias": [-0.122706, -0.225721, -0.772606, -1.024154, 0.214126, -0.264375], "network.4.weight": [[0.05701, 0.015043, -0.56651, 0.596049, 0.081518, 0.559245], [-0.336782, 0.305517, 0.363364, 0.599535, -0.901382, 0.763053], [0.66011, 0.450656, 0.019776, 0.092842, 0.641657, -0.336662], [0.002928, -0.028045, -0.033972, 0.069081, -0.370962, -0.457946], [-0.504091, 0.171237, 0.456214, 1.214246, -0.508746, 0.834696], [-0.807207, -0.59759, -0.47669, -0.642381, 0.091241, -0.070462]], "network.4.bias": [-0.073998, -1.088752, -0.075831, -0.658838, -1.032946, 0.592092], "network.6.weight": [[0.288128, -0.283325, -0.564548, -0.207204, -0.234404, 0.346596], [0.131963, 0.276388, 0.643785, 0.023152, 0.309149, -1.080144], [0.220597, 0.420489, 0.668315, 0.159425, 0.226896, -0.451993], [0.023704, -0.52397, -0.494418, -0.085707, -0.489096, 0.637735], [0.334713, -0.805436, -0.528641, -0.762115, -0.606241, 0.579838], [0.355155, -1.028064, -0.879914, -0.664973, -0.431292, 0.685104]], "network.6.bias": [0.62783, 0.043073, -0.094137, 0.471876, 0.226278, 0.342634], "network.8.weight": [[0.428752, -0.665895, -0.316052, 0.449092, 0.29512, 0.414737]], "network.8.bias": [0.39631]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6968302726745605, "train_acc": 0.48, "val_loss": 0.6837033033370972, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6459687054157257, "train_acc": 0.58, "val_loss": 0.6685206890106201, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5609700083732605, "train_acc": 0.58, "val_loss": 0.5541232824325562, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6613463163375854, "train_acc": 0.54, "val_loss": 0.48023277521133423, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41530223190784454, "train_acc": 0.87, "val_loss": 0.4981425404548645, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4039977043867111, "train_acc": 0.865, "val_loss": 0.49500682950019836, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3512585163116455, "train_acc": 0.875, "val_loss": 0.4688446819782257, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3086768686771393, "train_acc": 0.87, "val_loss": 0.40450751781463623, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2910965830087662, "train_acc": 0.875, "val_loss": 0.34623831510543823, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32974138855934143, "train_acc": 0.875, "val_loss": 0.3124832212924957, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.25605063140392303, "train_acc": 0.895, "val_loss": 0.309660941362381, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.26801520586013794, "train_acc": 0.9, "val_loss": 0.3205631375312805, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.247402623295784, "train_acc": 0.905, "val_loss": 0.3326045572757721, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6837033033370972, "final_val_loss": 0.5541232824325562, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.48023277521133423, "final_val_loss": 0.3326045572757721, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 10}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
42
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8890, "learning_rate": 0.024940936964749232, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
"network.0.bias": [
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[
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[
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"network.10.weight": [
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}
## Activation Signature
### 0
fourier: [[14.845516, 14.925377, 15.901062, 16.830756, 57.260643], [18.446289, 18.562086, 20.921012, 24.520480, 161.897777], [22.797777, 23.896319, 26.008643, 29.258174, 46.434578], [19.585462, 20.695145, 24.489163, 26.395801, 198.164569], [19.268160, 21.485893, 22.370324, 28.146282, 56.625484], [14.109303, 16.639562, 17.299914, 17.455184, 18.064831]]
### 2
fourier: [[6.474896, 6.521570, 7.508760, 8.098329, 42.328228], [18.931285, 20.980045, 21.630858, 22.809139, 167.083483], [15.961781, 16.022824, 18.724564, 20.343084, 115.796897], [18.825441, 20.911694, 21.819459, 22.103980, 150.719964], [6.952524, 7.016317, 7.629426, 7.694164, 57.619845], [9.700701, 10.899849, 11.335578, 12.671882, 39.357726]]
### 4
fourier: [[37.848339, 39.644820, 42.380854, 44.318046, 319.805690], [19.965834, 21.365511, 23.785914, 24.623775, 160.435509], [28.697129, 31.141559, 33.278401, 34.348876, 224.454076], [13.622129, 13.775720, 15.246558, 16.300906, 99.992880], [3.863933, 3.975726, 4.429988, 4.556946, 32.058927], [28.360184, 28.393843, 31.733345, 33.649789, 177.042876]]
### 6
fourier: [[29.183037, 30.736591, 32.936883, 34.247430, 244.066984], [9.701334, 10.111987, 10.696625, 11.085434, 71.978187], [62.950428, 65.392832, 70.750455, 73.714269, 405.200897], [7.193089, 7.352079, 7.622052, 7.947044, 16.788599], [27.383158, 28.517191, 31.210494, 32.641975, 231.170978], [29.368486, 30.575977, 33.119140, 34.326754, 183.056798]]
### 8
fourier: [[5.274228, 5.521256, 6.261218, 6.342246, 31.556016], [49.478650, 52.157904, 55.819488, 56.680285, 272.396009], [6.808450, 7.220862, 7.692902, 7.761132, 54.102295], [39.123280, 40.472851, 43.731922, 45.422412, 251.810686], [5.943620, 6.335307, 6.719450, 7.842870, 32.174178], [42.962698, 45.117225, 48.380477, 49.351234, 265.161317]]
### 10
fourier: [[21.691841, 22.774254, 24.337342, 25.172286, 133.167346], [59.794529, 62.488766, 66.963678, 69.655047, 349.846269], [1.071088, 1.116122, 1.157483, 1.241685, 20.543533], [20.605722, 21.418137, 23.091464, 23.613047, 108.033191], [8.908253, 9.298188, 9.976117, 10.385255, 51.344726], [3.095866, 3.396183, 3.495618, 3.728242, 38.681220]]
### 12
fourier: [[30.247622, 31.605191, 33.872339, 35.195543, 166.873796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[14.845516, 14.925377, 15.901062, 16.830756, 57.260643], [18.446289, 18.562086, 20.921012, 24.520480, 161.897777], [22.797777, 23.896319, 26.008643, 29.258174, 46.434578], [19.585462, 20.695145, 24.489163, 26.395801, 198.164569], [19.268160, 21.485893, 22.370324, 28.146282, 56.625484], [14.109303, 16.639562, 17.299914, 17.455184, 18.064831]]
### 2
fourier: [[6.474896, 6.521570, 7.508760, 8.098329, 42.328228], [18.931285, 20.980045, 21.630858, 22.809139, 167.083483], [15.961781, 16.022824, 18.724564, 20.343084, 115.796897], [18.825441, 20.911694, 21.819459, 22.103980, 150.719964], [6.952524, 7.016317, 7.629426, 7.694164, 57.619845], [9.700701, 10.899849, 11.335578, 12.671882, 39.357726]]
### 4
fourier: [[37.848339, 39.644820, 42.380854, 44.318046, 319.805690], [19.965834, 21.365511, 23.785914, 24.623775, 160.435509], [28.697129, 31.141559, 33.278401, 34.348876, 224.454076], [13.622129, 13.775720, 15.246558, 16.300906, 99.992880], [3.863933, 3.975726, 4.429988, 4.556946, 32.058927], [28.360184, 28.393843, 31.733345, 33.649789, 177.042876]]
### 6
fourier: [[29.183037, 30.736591, 32.936883, 34.247430, 244.066984], [9.701334, 10.111987, 10.696625, 11.085434, 71.978187], [62.950428, 65.392832, 70.750455, 73.714269, 405.200897], [7.193089, 7.352079, 7.622052, 7.947044, 16.788599], [27.383158, 28.517191, 31.210494, 32.641975, 231.170978], [29.368486, 30.575977, 33.119140, 34.326754, 183.056798]]
### 8
fourier: [[5.274228, 5.521256, 6.261218, 6.342246, 31.556016], [49.478650, 52.157904, 55.819488, 56.680285, 272.396009], [6.808450, 7.220862, 7.692902, 7.761132, 54.102295], [39.123280, 40.472851, 43.731922, 45.422412, 251.810686], [5.943620, 6.335307, 6.719450, 7.842870, 32.174178], [42.962698, 45.117225, 48.380477, 49.351234, 265.161317]]
### 10
fourier: [[21.691841, 22.774254, 24.337342, 25.172286, 133.167346], [59.794529, 62.488766, 66.963678, 69.655047, 349.846269], [1.071088, 1.116122, 1.157483, 1.241685, 20.543533], [20.605722, 21.418137, 23.091464, 23.613047, 108.033191], [8.908253, 9.298188, 9.976117, 10.385255, 51.344726], [3.095866, 3.396183, 3.495618, 3.728242, 38.681220]]
### 12
fourier: [[30.247622, 31.605191, 33.872339, 35.195543, 166.873796]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6983940899372101, "train_acc": 0.445, "val_loss": 0.6842834949493408, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6840455830097198, "train_acc": 0.555, "val_loss": 0.6788241863250732, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6800298094749451, "train_acc": 0.555, "val_loss": 0.6678515672683716, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6646793484687805, "train_acc": 0.555, "val_loss": 0.6472932696342468, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6738052070140839, "train_acc": 0.48, "val_loss": 0.5968722701072693, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.612464427947998, "train_acc": 0.48, "val_loss": 0.5098705887794495, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5177322924137115, "train_acc": 0.48, "val_loss": 0.42639291286468506, "val_acc": 0.58}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4576807767152786, "train_acc": 0.62, "val_loss": 0.36840611696243286, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.40005728602409363, "train_acc": 0.935, "val_loss": 0.32785236835479736, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3552182912826538, "train_acc": 0.945, "val_loss": 0.30246445536613464, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3009267896413803, "train_acc": 0.955, "val_loss": 0.26854243874549866, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.26539376378059387, "train_acc": 0.95, "val_loss": 0.2395758032798767, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2167697697877884, "train_acc": 0.96, "val_loss": 0.22260236740112305, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.16768759489059448, "train_acc": 0.96, "val_loss": 0.22439195215702057, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6842834949493408, "final_val_loss": 0.6472932696342468, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5968722701072693, "final_val_loss": 0.22439195215702057, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
43
|
{"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3911, "learning_rate": 0.03942708661657638, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.933559, 18.170658, 18.952490, 21.925021, 60.781047], [24.071864, 24.908922, 26.576952, 36.444913, 124.410530], [24.936864, 25.206348, 27.327461, 32.990552, 149.287224], [25.616220, 25.831109, 27.107147, 27.692991, 28.859930], [21.552256, 22.212199, 22.771554, 22.819547, 92.831338], [25.318177, 25.886361, 26.397092, 28.034894, 104.244837], [45.560648, 47.716448, 53.472717, 53.606981, 213.475292]]
### 2
fourier: [[37.276448, 37.977866, 38.876405, 43.244813, 194.110083], [24.295343, 28.356678, 28.421401, 32.635557, 33.612667], [15.179158, 17.501453, 18.000747, 18.843119, 163.889167], [23.133373, 23.850481, 26.834902, 30.035523, 90.803346], [17.555855, 18.173939, 19.822459, 22.182314, 45.261226], [19.391147, 19.699200, 22.139893, 22.780419, 38.946293], [14.481336, 14.833260, 15.650712, 18.042038, 21.461551]]
### 4
fourier: [[25.282474, 26.322498, 26.509917, 34.919151, 102.175419], [27.429870, 29.380192, 32.626715, 39.332018, 126.156916], [32.502824, 32.806321, 32.894017, 34.503770, 146.280550], [12.464700, 12.775516, 14.003030, 14.383333, 94.865377], [19.803138, 21.926449, 24.278657, 34.483185, 41.654176], [18.507640, 21.081249, 24.064891, 27.444871, 58.544646], [43.175156, 43.272323, 43.963452, 44.784267, 110.943865]]
### 6
fourier: [[36.611730, 41.318795, 48.865802, 55.635646, 240.363232], [21.747441, 22.306017, 23.937471, 35.985971, 63.840740], [14.138135, 14.732477, 16.327305, 16.368801, 28.891541], [7.879496, 9.573366, 10.674907, 12.749196, 59.209136], [35.802129, 36.060921, 44.131327, 51.536038, 199.953281], [24.319619, 28.273463, 33.726481, 38.752579, 162.324502], [37.481898, 44.693533, 52.132074, 61.188851, 208.050441]]
### 8
fourier: [[15.310472, 20.001809, 20.163415, 24.151455, 101.601094], [21.150472, 22.443966, 25.970790, 34.524559, 133.016675], [21.802140, 23.113013, 28.586464, 32.746103, 165.801379], [27.060971, 32.359738, 37.600216, 43.802094, 188.569819], [60.690870, 74.384255, 80.175432, 94.392824, 421.948527], [12.207549, 14.907261, 16.457782, 18.745490, 84.636550], [9.086096, 10.660642, 12.556790, 14.293144, 33.225348]]
### 10
fourier: [[39.410623, 51.223044, 52.022700, 61.140963, 251.194162]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[15.933559, 18.170658, 18.952490, 21.925021, 60.781047], [24.071864, 24.908922, 26.576952, 36.444913, 124.410530], [24.936864, 25.206348, 27.327461, 32.990552, 149.287224], [25.616220, 25.831109, 27.107147, 27.692991, 28.859930], [21.552256, 22.212199, 22.771554, 22.819547, 92.831338], [25.318177, 25.886361, 26.397092, 28.034894, 104.244837], [45.560648, 47.716448, 53.472717, 53.606981, 213.475292]]
### 2
fourier: [[37.276448, 37.977866, 38.876405, 43.244813, 194.110083], [24.295343, 28.356678, 28.421401, 32.635557, 33.612667], [15.179158, 17.501453, 18.000747, 18.843119, 163.889167], [23.133373, 23.850481, 26.834902, 30.035523, 90.803346], [17.555855, 18.173939, 19.822459, 22.182314, 45.261226], [19.391147, 19.699200, 22.139893, 22.780419, 38.946293], [14.481336, 14.833260, 15.650712, 18.042038, 21.461551]]
### 4
fourier: [[25.282474, 26.322498, 26.509917, 34.919151, 102.175419], [27.429870, 29.380192, 32.626715, 39.332018, 126.156916], [32.502824, 32.806321, 32.894017, 34.503770, 146.280550], [12.464700, 12.775516, 14.003030, 14.383333, 94.865377], [19.803138, 21.926449, 24.278657, 34.483185, 41.654176], [18.507640, 21.081249, 24.064891, 27.444871, 58.544646], [43.175156, 43.272323, 43.963452, 44.784267, 110.943865]]
### 6
fourier: [[36.611730, 41.318795, 48.865802, 55.635646, 240.363232], [21.747441, 22.306017, 23.937471, 35.985971, 63.840740], [14.138135, 14.732477, 16.327305, 16.368801, 28.891541], [7.879496, 9.573366, 10.674907, 12.749196, 59.209136], [35.802129, 36.060921, 44.131327, 51.536038, 199.953281], [24.319619, 28.273463, 33.726481, 38.752579, 162.324502], [37.481898, 44.693533, 52.132074, 61.188851, 208.050441]]
### 8
fourier: [[15.310472, 20.001809, 20.163415, 24.151455, 101.601094], [21.150472, 22.443966, 25.970790, 34.524559, 133.016675], [21.802140, 23.113013, 28.586464, 32.746103, 165.801379], [27.060971, 32.359738, 37.600216, 43.802094, 188.569819], [60.690870, 74.384255, 80.175432, 94.392824, 421.948527], [12.207549, 14.907261, 16.457782, 18.745490, 84.636550], [9.086096, 10.660642, 12.556790, 14.293144, 33.225348]]
### 10
fourier: [[39.410623, 51.223044, 52.022700, 61.140963, 251.194162]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828611195087433, "train_acc": 0.58, "val_loss": 0.7172709703445435, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732212901115417, "train_acc": 0.58, "val_loss": 0.7096759080886841, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6643277704715729, "train_acc": 0.58, "val_loss": 0.6932220458984375, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6414085328578949, "train_acc": 0.58, "val_loss": 0.6540748476982117, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.7096719145774841, "train_acc": 0.51, "val_loss": 0.6347196102142334, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6045728921890259, "train_acc": 0.51, "val_loss": 0.6298163533210754, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5967685580253601, "train_acc": 0.555, "val_loss": 0.6298021078109741, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5885195136070251, "train_acc": 0.88, "val_loss": 0.5892254710197449, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5336065888404846, "train_acc": 0.905, "val_loss": 0.5194423198699951, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44519828259944916, "train_acc": 0.915, "val_loss": 0.4429336190223694, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.38591985404491425, "train_acc": 0.885, "val_loss": 0.3695785105228424, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3286442160606384, "train_acc": 0.94, "val_loss": 0.3432448208332062, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.30617761611938477, "train_acc": 0.94, "val_loss": 0.33184653520584106, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.283516988158226, "train_acc": 0.97, "val_loss": 0.323314368724823, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7172709703445435, "final_val_loss": 0.6540748476982117, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6347196102142334, "final_val_loss": 0.323314368724823, "initial_val_acc": 0.46, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
44
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8776, "learning_rate": 0.0354662552402799, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[21.592505, 23.731103, 26.724674, 30.219321, 73.484251], [22.911154, 25.997864, 28.630667, 28.676724, 122.586454], [23.473769, 23.579506, 24.856093, 26.757938, 76.304289], [20.281368, 20.806080, 21.077831, 23.862295, 54.612115], [14.724511, 15.617686, 17.694289, 19.477583, 23.750972]]
### 2
fourier: [[5.927815, 5.999850, 6.077241, 7.784470, 47.361516], [9.201103, 9.720629, 9.768649, 10.708344, 124.731948], [12.340901, 12.603929, 14.535603, 15.377821, 35.646722], [14.349455, 14.875600, 15.671341, 17.465525, 17.956687], [38.379453, 39.529738, 42.867773, 44.411234, 100.965963]]
### 4
fourier: [[2.719995, 2.894397, 3.288288, 3.869395, 59.580114], [16.107139, 17.674321, 19.261278, 19.274029, 19.473948], [17.437317, 21.242726, 21.516667, 21.946933, 24.295252], [19.468569, 20.780664, 22.437776, 23.033232, 94.463616], [12.899827, 13.959694, 14.071840, 14.729317, 15.978328]]
### 6
fourier: [[8.120474, 9.114128, 9.421910, 10.281322, 10.386491], [7.921824, 9.626835, 9.734057, 10.297706, 10.631054], [12.421624, 14.960727, 14.983270, 15.612896, 81.135683], [7.269000, 7.966126, 8.074646, 8.525303, 14.379878], [7.567641, 9.149757, 10.201002, 10.290628, 10.519290]]
### 8
fourier: [[6.138536, 7.203115, 7.224323, 7.248905, 12.245877], [17.217065, 17.724392, 18.903878, 19.024764, 70.595155], [15.576901, 17.657040, 18.113202, 18.266309, 46.829529], [4.428192, 4.573112, 4.672515, 5.212279, 54.667809], [6.243373, 6.268732, 6.352886, 6.448086, 6.649691]]
### 10
fourier: [[16.855296, 17.214391, 18.066287, 18.300140, 90.056216], [3.887472, 4.752317, 4.791573, 5.578173, 18.423681], [12.897777, 14.743263, 15.004413, 15.186978, 50.416355], [4.038348, 4.117783, 4.313450, 4.397685, 31.474089], [3.756403, 4.274122, 4.366764, 4.405646, 41.351214]]
### 12
fourier: [[18.785082, 19.011174, 19.995755, 20.382687, 43.436770]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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],
"network.12.bias": [
-0.065648
]
}
## Activation Signature
### 0
fourier: [[21.592505, 23.731103, 26.724674, 30.219321, 73.484251], [22.911154, 25.997864, 28.630667, 28.676724, 122.586454], [23.473769, 23.579506, 24.856093, 26.757938, 76.304289], [20.281368, 20.806080, 21.077831, 23.862295, 54.612115], [14.724511, 15.617686, 17.694289, 19.477583, 23.750972]]
### 2
fourier: [[5.927815, 5.999850, 6.077241, 7.784470, 47.361516], [9.201103, 9.720629, 9.768649, 10.708344, 124.731948], [12.340901, 12.603929, 14.535603, 15.377821, 35.646722], [14.349455, 14.875600, 15.671341, 17.465525, 17.956687], [38.379453, 39.529738, 42.867773, 44.411234, 100.965963]]
### 4
fourier: [[2.719995, 2.894397, 3.288288, 3.869395, 59.580114], [16.107139, 17.674321, 19.261278, 19.274029, 19.473948], [17.437317, 21.242726, 21.516667, 21.946933, 24.295252], [19.468569, 20.780664, 22.437776, 23.033232, 94.463616], [12.899827, 13.959694, 14.071840, 14.729317, 15.978328]]
### 6
fourier: [[8.120474, 9.114128, 9.421910, 10.281322, 10.386491], [7.921824, 9.626835, 9.734057, 10.297706, 10.631054], [12.421624, 14.960727, 14.983270, 15.612896, 81.135683], [7.269000, 7.966126, 8.074646, 8.525303, 14.379878], [7.567641, 9.149757, 10.201002, 10.290628, 10.519290]]
### 8
fourier: [[6.138536, 7.203115, 7.224323, 7.248905, 12.245877], [17.217065, 17.724392, 18.903878, 19.024764, 70.595155], [15.576901, 17.657040, 18.113202, 18.266309, 46.829529], [4.428192, 4.573112, 4.672515, 5.212279, 54.667809], [6.243373, 6.268732, 6.352886, 6.448086, 6.649691]]
### 10
fourier: [[16.855296, 17.214391, 18.066287, 18.300140, 90.056216], [3.887472, 4.752317, 4.791573, 5.578173, 18.423681], [12.897777, 14.743263, 15.004413, 15.186978, 50.416355], [4.038348, 4.117783, 4.313450, 4.397685, 31.474089], [3.756403, 4.274122, 4.366764, 4.405646, 41.351214]]
### 12
fourier: [[18.785082, 19.011174, 19.995755, 20.382687, 43.436770]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.060798, -0.223582, -0.109537, 0.250713, 0.727443], [0.674349, -0.056258, 0.151992, 0.07822, -0.328753], [-0.423602, 0.166517, 0.134368, -0.196728, 0.707542], [-0.068492, -0.228219, -0.184561, 0.309985, 0.525161], [-0.333104, 0.223737, -0.288428, -0.057047, 0.320038]], "network.0.bias": [0.09356, 0.545624, 0.340099, 0.180984, 0.073044], "network.2.weight": [[0.193976, -0.150027, 0.173737, -0.271051, 0.145691], [0.089077, -0.225523, -0.510579, -0.040438, -0.061099], [0.259409, 0.378302, -0.606403, 0.327345, -0.109822], [-0.088166, 0.293021, -0.323095, -0.259586, -0.003841], [0.723695, -0.452859, 0.464504, 0.481723, 0.611812]], "network.2.bias": [0.557286, -0.578618, -0.022659, 0.413121, 0.02743], "network.4.weight": [[-0.370225, -0.000599, 0.202601, -0.124957, 0.023684], [0.474872, -0.396787, -0.412809, 0.066058, -0.533032], [0.190386, 0.026217, -0.106092, 0.432638, -0.553215], [0.091325, -0.004628, 0.490867, 0.366987, 0.598769], [-0.057153, -0.230003, 0.71211, 0.368996, -0.223236]], "network.4.bias": [-0.549966, 0.466895, 0.551719, -0.268054, -0.312134], "network.6.weight": [[0.255518, 0.314876, 0.615553, -0.249233, -0.431171], [-0.233847, 0.537123, 0.331087, -0.280245, -0.408652], [-0.226222, -0.489218, 0.032356, 0.565538, 0.448357], [0.100214, 0.513594, 0.446706, -0.110882, -0.555864], [-0.295792, 0.41978, 0.215895, -0.30551, -0.460658]], "network.6.bias": [0.122936, 0.17443, 0.286449, 0.088557, 0.189885], "network.8.weight": [[0.169705, 0.227393, -0.127556, 0.41332, 0.173173], [-0.610898, -0.442583, 0.705357, -0.263379, -0.250012], [0.793834, 0.633235, -0.474161, 0.306882, 0.305617], [0.004511, -0.104193, -0.405023, -0.084174, -0.109326], [0.002497, -0.239571, 0.005897, -0.617191, -0.323961]], "network.8.bias": [-0.278051, 0.561963, 0.406001, -0.167737, 0.341958], "network.10.weight": [[-0.397995, 0.812566, -0.270556, 0.144397, 0.356782], [0.380137, 0.313783, -0.003269, 0.155035, 0.411525], [0.0531, -0.348804, 0.656877, -0.035033, -0.129871], [-0.177311, -0.178406, 0.176826, 0.288146, 0.096192], [0.359315, -0.327746, -0.113562, 0.324712, 0.025822]], "network.10.bias": [0.388571, -0.230157, 0.46356, -0.295764, -0.122048], "network.12.weight": [[-0.723974, -0.102464, 0.619407, -0.207288, -0.062244]], "network.12.bias": [-0.065648]}}
|
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|
45
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1955, "learning_rate": 0.09855088108934446, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[37.325439, 38.613938, 38.793929, 39.823095, 48.875360], [16.984329, 17.251976, 18.240261, 21.393247, 140.630374], [44.817461, 48.164389, 48.642358, 50.892313, 221.101594], [31.650362, 31.650661, 32.061011, 36.192316, 41.783531], [54.995946, 58.436626, 59.611724, 60.434134, 147.301610], [8.003325, 8.171087, 10.040669, 10.901614, 59.029488]]
### 2
fourier: [[35.046101, 38.148257, 39.004433, 45.187020, 147.014043], [63.687545, 65.522896, 66.836517, 69.220615, 304.265766], [69.193667, 71.715005, 71.841276, 72.081051, 290.324051], [55.502631, 56.782512, 56.834260, 57.270028, 178.984681], [58.830649, 65.111476, 70.242706, 72.360083, 267.127612], [14.847307, 17.787411, 19.802242, 23.251527, 71.398168]]
### 4
fourier: [[35.141508, 36.031401, 36.381024, 37.118657, 174.398680], [22.221722, 22.258289, 22.545004, 22.887368, 167.630306], [104.412461, 108.262399, 109.756473, 114.197940, 458.781297], [98.266421, 98.861350, 100.603356, 101.551850, 512.755863], [58.262504, 58.986515, 60.957893, 65.341122, 264.060362], [39.201994, 40.289389, 41.389167, 47.820921, 144.763471]]
### 6
fourier: [[42.940222, 44.929812, 47.292029, 56.855851, 198.603148], [54.897993, 56.926473, 58.825363, 62.391168, 269.657594], [53.018248, 54.174326, 55.835075, 57.829732, 275.634282], [87.009862, 87.625596, 88.055076, 90.092231, 354.332319], [43.797016, 45.904832, 47.781276, 52.038522, 199.907783], [59.500394, 60.964153, 62.180726, 62.837959, 350.380210]]
### 8
fourier: [[88.736823, 90.140822, 90.229167, 91.545709, 343.158193], [159.593055, 159.661966, 161.393213, 163.576895, 797.547693], [126.064304, 127.164135, 130.008554, 130.652692, 606.042549], [152.613886, 154.351378, 155.424088, 156.808416, 730.125534], [18.888429, 19.604832, 19.622686, 22.195691, 78.411519], [62.453087, 67.252807, 68.493747, 79.325525, 233.847349]]
### 10
fourier: [[277.051245, 279.273375, 285.008242, 287.265619, 1308.893370]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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"network.2.bias": [
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"network.4.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[37.325439, 38.613938, 38.793929, 39.823095, 48.875360], [16.984329, 17.251976, 18.240261, 21.393247, 140.630374], [44.817461, 48.164389, 48.642358, 50.892313, 221.101594], [31.650362, 31.650661, 32.061011, 36.192316, 41.783531], [54.995946, 58.436626, 59.611724, 60.434134, 147.301610], [8.003325, 8.171087, 10.040669, 10.901614, 59.029488]]
### 2
fourier: [[35.046101, 38.148257, 39.004433, 45.187020, 147.014043], [63.687545, 65.522896, 66.836517, 69.220615, 304.265766], [69.193667, 71.715005, 71.841276, 72.081051, 290.324051], [55.502631, 56.782512, 56.834260, 57.270028, 178.984681], [58.830649, 65.111476, 70.242706, 72.360083, 267.127612], [14.847307, 17.787411, 19.802242, 23.251527, 71.398168]]
### 4
fourier: [[35.141508, 36.031401, 36.381024, 37.118657, 174.398680], [22.221722, 22.258289, 22.545004, 22.887368, 167.630306], [104.412461, 108.262399, 109.756473, 114.197940, 458.781297], [98.266421, 98.861350, 100.603356, 101.551850, 512.755863], [58.262504, 58.986515, 60.957893, 65.341122, 264.060362], [39.201994, 40.289389, 41.389167, 47.820921, 144.763471]]
### 6
fourier: [[42.940222, 44.929812, 47.292029, 56.855851, 198.603148], [54.897993, 56.926473, 58.825363, 62.391168, 269.657594], [53.018248, 54.174326, 55.835075, 57.829732, 275.634282], [87.009862, 87.625596, 88.055076, 90.092231, 354.332319], [43.797016, 45.904832, 47.781276, 52.038522, 199.907783], [59.500394, 60.964153, 62.180726, 62.837959, 350.380210]]
### 8
fourier: [[88.736823, 90.140822, 90.229167, 91.545709, 343.158193], [159.593055, 159.661966, 161.393213, 163.576895, 797.547693], [126.064304, 127.164135, 130.008554, 130.652692, 606.042549], [152.613886, 154.351378, 155.424088, 156.808416, 730.125534], [18.888429, 19.604832, 19.622686, 22.195691, 78.411519], [62.453087, 67.252807, 68.493747, 79.325525, 233.847349]]
### 10
fourier: [[277.051245, 279.273375, 285.008242, 287.265619, 1308.893370]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877061426639557, "train_acc": 0.565, "val_loss": 0.6857731342315674, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6892106533050537, "train_acc": 0.555, "val_loss": 0.6858830451965332, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6881414353847504, "train_acc": 0.565, "val_loss": 0.686551570892334, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6782216429710388, "train_acc": 0.565, "val_loss": 0.6649423241615295, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6340897679328918, "train_acc": 0.565, "val_loss": 0.5689161419868469, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6541130244731903, "train_acc": 0.485, "val_loss": 0.6732774376869202, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6700379550457001, "train_acc": 0.655, "val_loss": 0.6235387921333313, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6092788279056549, "train_acc": 0.62, "val_loss": 0.5451885461807251, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4606512635946274, "train_acc": 0.76, "val_loss": 0.39065438508987427, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3844754695892334, "train_acc": 0.86, "val_loss": 0.4359879195690155, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.39445558190345764, "train_acc": 0.82, "val_loss": 0.3641291856765747, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.2781182527542114, "train_acc": 0.88, "val_loss": 0.4738391935825348, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.31275326013565063, "train_acc": 0.88, "val_loss": 0.4309684634208679, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2689552828669548, "train_acc": 0.885, "val_loss": 0.41024458408355713, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6857731342315674, "final_val_loss": 0.5689161419868469, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6732774376869202, "final_val_loss": 0.41024458408355713, "initial_val_acc": 0.68, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 9}, "improvement": 0.2799999999999999, "first_improvement_epoch": 4}}
|
46
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5360, "learning_rate": 0.0885264373224075, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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[
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[
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],
"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[82.040918, 82.704283, 87.298709, 90.508002, 377.518677], [89.625400, 98.247120, 101.227243, 105.259249, 481.816358], [57.853089, 62.040518, 62.404180, 71.000449, 113.471748], [80.035700, 86.910426, 88.710160, 89.019950, 203.196007], [22.853343, 23.242294, 24.470766, 24.984853, 170.132283]]
### 2
fourier: [[102.302939, 103.803862, 107.806947, 108.288981, 424.412331], [16.296113, 16.646865, 17.506037, 17.507183, 128.719395], [191.122984, 191.137247, 196.270407, 201.019470, 799.335579], [54.584110, 55.295697, 56.204166, 58.394840, 255.955257], [93.468542, 94.326405, 96.094512, 97.239618, 476.218683]]
### 4
fourier: [[15.189801, 15.331497, 15.500892, 15.650255, 83.032103], [137.594522, 138.866751, 140.430589, 141.751561, 553.700576], [95.801120, 96.682542, 97.780757, 98.694445, 413.835567], [6.391641, 6.455712, 6.519302, 6.582424, 52.801341], [129.180491, 130.370810, 131.845728, 133.086938, 530.440164]]
### 6
fourier: [[142.109883, 143.927842, 144.059513, 144.685965, 585.108685], [92.312805, 93.402813, 93.610258, 93.851897, 410.950078], [29.502938, 29.794618, 29.910987, 29.936953, 152.926357], [148.423726, 150.342721, 150.453069, 151.144177, 551.091995], [83.581910, 84.616109, 84.740529, 85.045300, 356.071146]]
### 8
fourier: [[132.089536, 133.183983, 133.761500, 133.771822, 541.192326], [47.948090, 48.584920, 48.611011, 48.845698, 227.632506], [98.693616, 98.769719, 98.906052, 99.916143, 337.168892], [160.197055, 160.333088, 160.776448, 161.976947, 589.147566], [79.190365, 79.456373, 79.569165, 80.333392, 262.385454]]
### 10
fourier: [[47.786872, 48.679009, 48.720928, 48.829551, 190.210511], [38.590179, 38.704594, 38.835424, 39.174311, 177.806063], [119.401141, 121.556181, 121.584068, 121.952562, 411.801374], [46.995834, 48.098169, 48.114737, 48.159685, 200.688286], [161.733161, 164.122275, 164.246048, 164.980370, 600.061446]]
### 12
fourier: [[106.408949, 108.645881, 108.733149, 108.799420, 314.296975]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.985765,
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0.487947,
0.504901,
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],
[
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0.690179,
0.626113,
0.007564
],
[
1.467395,
0.967861,
-0.142892,
-0.344795,
-0.542358
],
[
2.291053,
0.15919,
0.031372,
0.113023,
-0.558592
],
[
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]
],
"network.0.bias": [
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[
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0.434302,
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[
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],
[
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]
],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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[
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[
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[
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"network.8.weight": [
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[
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[
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[
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"network.8.bias": [
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"network.10.weight": [
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[
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[
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],
"network.10.bias": [
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"network.12.weight": [
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],
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]
}
## Activation Signature
### 0
fourier: [[82.040918, 82.704283, 87.298709, 90.508002, 377.518677], [89.625400, 98.247120, 101.227243, 105.259249, 481.816358], [57.853089, 62.040518, 62.404180, 71.000449, 113.471748], [80.035700, 86.910426, 88.710160, 89.019950, 203.196007], [22.853343, 23.242294, 24.470766, 24.984853, 170.132283]]
### 2
fourier: [[102.302939, 103.803862, 107.806947, 108.288981, 424.412331], [16.296113, 16.646865, 17.506037, 17.507183, 128.719395], [191.122984, 191.137247, 196.270407, 201.019470, 799.335579], [54.584110, 55.295697, 56.204166, 58.394840, 255.955257], [93.468542, 94.326405, 96.094512, 97.239618, 476.218683]]
### 4
fourier: [[15.189801, 15.331497, 15.500892, 15.650255, 83.032103], [137.594522, 138.866751, 140.430589, 141.751561, 553.700576], [95.801120, 96.682542, 97.780757, 98.694445, 413.835567], [6.391641, 6.455712, 6.519302, 6.582424, 52.801341], [129.180491, 130.370810, 131.845728, 133.086938, 530.440164]]
### 6
fourier: [[142.109883, 143.927842, 144.059513, 144.685965, 585.108685], [92.312805, 93.402813, 93.610258, 93.851897, 410.950078], [29.502938, 29.794618, 29.910987, 29.936953, 152.926357], [148.423726, 150.342721, 150.453069, 151.144177, 551.091995], [83.581910, 84.616109, 84.740529, 85.045300, 356.071146]]
### 8
fourier: [[132.089536, 133.183983, 133.761500, 133.771822, 541.192326], [47.948090, 48.584920, 48.611011, 48.845698, 227.632506], [98.693616, 98.769719, 98.906052, 99.916143, 337.168892], [160.197055, 160.333088, 160.776448, 161.976947, 589.147566], [79.190365, 79.456373, 79.569165, 80.333392, 262.385454]]
### 10
fourier: [[47.786872, 48.679009, 48.720928, 48.829551, 190.210511], [38.590179, 38.704594, 38.835424, 39.174311, 177.806063], [119.401141, 121.556181, 121.584068, 121.952562, 411.801374], [46.995834, 48.098169, 48.114737, 48.159685, 200.688286], [161.733161, 164.122275, 164.246048, 164.980370, 600.061446]]
### 12
fourier: [[106.408949, 108.645881, 108.733149, 108.799420, 314.296975]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.985765, 0.44116, 0.487947, 0.504901, -0.218046], [2.165568, 0.435872, 0.690179, 0.626113, 0.007564], [1.467395, 0.967861, -0.142892, -0.344795, -0.542358], [2.291053, 0.15919, 0.031372, 0.113023, -0.558592], [0.153987, -0.397447, -0.385392, -0.199481, -0.30293]], "network.0.bias": [-0.91349, -0.929371, -0.622166, -0.502407, 0.248679], "network.2.weight": [[-0.298387, -0.218033, -0.408039, -0.531145, -0.153903], [0.208449, -0.379101, -0.287817, 0.226517, -0.268346], [0.699553, 0.67804, 0.853548, 0.434302, -0.085384], [-0.535185, 0.003883, -0.257371, -0.004427, 0.144953], [-0.522596, -0.410441, -0.358655, 0.047809, -0.329223]], "network.2.bias": [0.017607, -0.287787, -0.717117, -0.033311, -0.195898], "network.4.weight": [[0.135392, 0.131135, -0.079763, -0.025427, 0.037063], [-0.137747, -0.015066, 0.722517, 0.243598, -0.068385], [-0.172479, -0.33418, -0.503054, 0.040465, -0.442149], [0.188212, 0.253486, -0.033568, -0.424176, -0.311681], [-0.038529, 0.312718, 0.678329, -0.196822, -0.084894]], "network.4.bias": [-0.206461, -0.334839, -0.081538, -0.285212, -0.196448], "network.6.weight": [[0.407293, 0.48172, 0.186072, 0.025177, 0.589213], [0.362574, -0.484367, -0.004517, 0.280783, -0.20035], [-0.112728, -0.261836, -0.133338, 0.20084, 0.049836], [0.006535, 0.464936, -0.132554, -0.207683, 0.656016], [0.432219, -0.349369, -0.360552, 0.422018, -0.276283]], "network.6.bias": [0.016144, -0.369483, -0.36793, -0.653507, -0.148315], "network.8.weight": [[-0.728032, 0.283043, 0.400094, -0.193774, 0.102237], [-0.345331, 0.266681, 0.019296, 0.007627, -0.336387], [0.158034, -0.043089, -0.445484, 0.517435, -0.415579], [0.479093, -0.260024, -0.392833, 0.623465, 0.211595], [0.052096, -0.349784, -0.093528, 0.488452, 0.101322]], "network.8.bias": [-0.064016, -0.33205, -0.528554, -0.481518, -0.488857], "network.10.weight": [[-0.129677, 0.088166, 0.004919, -0.169452, -0.282585], [-0.209759, -0.385072, -0.008127, -0.350437, 0.229409], [0.070583, 0.035198, 0.231648, 0.429581, 0.387563], [0.350095, -0.320903, -0.313061, -0.017138, -0.188867], [-0.034047, -0.382445, 0.364351, 0.774927, 0.062143]], "network.10.bias": [-0.134491, -0.312821, -0.384209, -0.312297, -0.112799], "network.12.weight": [[0.33649, 0.175292, -0.308723, -0.165043, -0.436202]], "network.12.bias": [0.885171]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6998037397861481, "train_acc": 0.435, "val_loss": 0.6932978630065918, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6660493016242981, "train_acc": 0.565, "val_loss": 0.756321132183075, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.647758811712265, "train_acc": 0.565, "val_loss": 0.6472533345222473, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7030972838401794, "train_acc": 0.5, "val_loss": 0.5637527704238892, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5839755535125732, "train_acc": 0.73, "val_loss": 0.6576091051101685, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6530195772647858, "train_acc": 0.65, "val_loss": 0.6535066962242126, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.624922126531601, "train_acc": 0.67, "val_loss": 0.5631033182144165, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5251491665840149, "train_acc": 0.805, "val_loss": 0.43025702238082886, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.43598103523254395, "train_acc": 0.845, "val_loss": 0.4484299421310425, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.518288865685463, "train_acc": 0.77, "val_loss": 0.38847053050994873, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3893052786588669, "train_acc": 0.84, "val_loss": 0.42086806893348694, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4037829637527466, "train_acc": 0.85, "val_loss": 0.42472243309020996, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.38183026015758514, "train_acc": 0.87, "val_loss": 0.34176182746887207, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6932978630065918, "final_val_loss": 0.6472533345222473, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5637527704238892, "final_val_loss": 0.34176182746887207, "initial_val_acc": 0.74, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
47
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.92, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9169, "learning_rate": 0.02856298291523507, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.007,
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],
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[
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0.397276
],
[
0.163232,
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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],
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[
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"network.8.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[15.694936, 17.350523, 19.314050, 20.953970, 89.058314], [22.188763, 22.489657, 24.478392, 26.941175, 122.325659], [28.893228, 30.253387, 32.408069, 32.971367, 33.872071], [27.098543, 27.171225, 28.098562, 29.099680, 30.468682], [28.404387, 29.485115, 32.701452, 33.949783, 106.853420], [27.855394, 28.351018, 29.872834, 31.669399, 135.706136]]
### 2
fourier: [[24.551763, 25.861469, 26.897142, 27.789376, 28.772209], [13.208840, 14.010167, 14.269083, 16.488342, 16.752419], [12.226145, 13.745971, 13.754681, 18.042106, 89.536037], [10.896349, 11.106535, 13.169462, 13.261989, 105.414854], [10.434341, 10.605098, 10.734481, 12.510525, 95.452408], [31.846120, 32.252946, 35.185548, 35.611698, 38.218629]]
### 4
fourier: [[14.475787, 14.797629, 15.256270, 15.372864, 24.282676], [5.975858, 6.670919, 6.884205, 7.462529, 90.592460], [5.860684, 6.084509, 6.558015, 9.936827, 61.352810], [3.175901, 4.527649, 4.539467, 5.270200, 72.643222], [9.486041, 9.842573, 10.087978, 10.151458, 17.698407], [13.426002, 13.860814, 14.235074, 14.607287, 143.616381]]
### 6
fourier: [[13.087187, 13.299867, 14.014200, 16.010697, 67.535947], [3.919562, 3.990271, 4.013189, 4.672440, 66.955535], [12.816189, 13.428062, 14.678994, 15.231320, 167.023640], [6.092566, 6.525150, 7.184194, 7.260624, 122.847790], [10.612420, 10.965119, 12.048485, 12.138423, 140.807556], [9.808812, 10.274008, 10.467342, 11.682699, 52.228849]]
### 8
fourier: [[19.169029, 19.493477, 21.884114, 23.695489, 282.641298]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.007,
-0.024272,
-0.103423,
-0.246632,
-0.407114
],
[
-0.523906,
0.245759,
0.337508,
0.308919,
0.233355
],
[
-0.895042,
0.063573,
0.173518,
0.047973,
0.397276
],
[
0.163232,
-0.920542,
-0.048114,
0.214526,
0.251837
],
[
-0.556976,
-0.212244,
0.690217,
0.330729,
0.297698
],
[
0.543443,
0.621626,
-0.257776,
-0.049181,
-0.085702
]
],
"network.0.bias": [
0.310437,
-0.091961,
0.309006,
0.646359,
-0.251036,
0.448451
],
"network.2.weight": [
[
0.824569,
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0.444568,
-0.789241,
0.283909,
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],
[
0.304559,
0.167361,
0.089607,
-0.6264,
0.39266,
-0.012345
],
[
-0.271192,
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0.248621,
0.002765,
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],
[
0.344303,
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0.241076,
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],
[
-0.308723,
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0.414855,
0.504759,
0.121029
],
[
-0.333535,
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-0.316331,
0.543474,
-0.63019,
0.654843
]
],
"network.2.bias": [
-0.159819,
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-0.061352,
0.019512,
0.40528,
0.546936
],
"network.4.weight": [
[
0.642666,
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0.007662
],
[
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0.523058,
0.166218
],
[
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],
[
-0.070267,
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],
[
0.443671,
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0.83607,
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],
[
-0.082282,
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]
],
"network.4.bias": [
-0.297483,
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0.62296
],
"network.6.weight": [
[
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],
[
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[
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[
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],
[
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],
[
0.369201,
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]
],
"network.6.bias": [
0.026851,
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0.391971,
0.594343,
0.335667,
0.215031
],
"network.8.weight": [
[
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-0.388219,
-0.541157,
-0.714485,
0.422511
]
],
"network.8.bias": [
-0.637183
]
}
## Activation Signature
### 0
fourier: [[15.694936, 17.350523, 19.314050, 20.953970, 89.058314], [22.188763, 22.489657, 24.478392, 26.941175, 122.325659], [28.893228, 30.253387, 32.408069, 32.971367, 33.872071], [27.098543, 27.171225, 28.098562, 29.099680, 30.468682], [28.404387, 29.485115, 32.701452, 33.949783, 106.853420], [27.855394, 28.351018, 29.872834, 31.669399, 135.706136]]
### 2
fourier: [[24.551763, 25.861469, 26.897142, 27.789376, 28.772209], [13.208840, 14.010167, 14.269083, 16.488342, 16.752419], [12.226145, 13.745971, 13.754681, 18.042106, 89.536037], [10.896349, 11.106535, 13.169462, 13.261989, 105.414854], [10.434341, 10.605098, 10.734481, 12.510525, 95.452408], [31.846120, 32.252946, 35.185548, 35.611698, 38.218629]]
### 4
fourier: [[14.475787, 14.797629, 15.256270, 15.372864, 24.282676], [5.975858, 6.670919, 6.884205, 7.462529, 90.592460], [5.860684, 6.084509, 6.558015, 9.936827, 61.352810], [3.175901, 4.527649, 4.539467, 5.270200, 72.643222], [9.486041, 9.842573, 10.087978, 10.151458, 17.698407], [13.426002, 13.860814, 14.235074, 14.607287, 143.616381]]
### 6
fourier: [[13.087187, 13.299867, 14.014200, 16.010697, 67.535947], [3.919562, 3.990271, 4.013189, 4.672440, 66.955535], [12.816189, 13.428062, 14.678994, 15.231320, 167.023640], [6.092566, 6.525150, 7.184194, 7.260624, 122.847790], [10.612420, 10.965119, 12.048485, 12.138423, 140.807556], [9.808812, 10.274008, 10.467342, 11.682699, 52.228849]]
### 8
fourier: [[19.169029, 19.493477, 21.884114, 23.695489, 282.641298]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.007, -0.024272, -0.103423, -0.246632, -0.407114], [-0.523906, 0.245759, 0.337508, 0.308919, 0.233355], [-0.895042, 0.063573, 0.173518, 0.047973, 0.397276], [0.163232, -0.920542, -0.048114, 0.214526, 0.251837], [-0.556976, -0.212244, 0.690217, 0.330729, 0.297698], [0.543443, 0.621626, -0.257776, -0.049181, -0.085702]], "network.0.bias": [0.310437, -0.091961, 0.309006, 0.646359, -0.251036, 0.448451], "network.2.weight": [[0.824569, 0.464816, 0.444568, -0.789241, 0.283909, -0.354816], [0.304559, 0.167361, 0.089607, -0.6264, 0.39266, -0.012345], [-0.271192, -0.195996, -0.302601, 0.248621, 0.002765, -0.383636], [0.344303, -0.448891, -0.329673, -0.405591, 0.241076, -0.303575], [-0.308723, -0.103655, -0.371168, 0.414855, 0.504759, 0.121029], [-0.333535, -0.229152, -0.316331, 0.543474, -0.63019, 0.654843]], "network.2.bias": [-0.159819, -0.341142, -0.061352, 0.019512, 0.40528, 0.546936], "network.4.weight": [[0.642666, 0.51533, 0.693902, -0.323319, -0.598646, 0.007662], [0.056207, -0.032157, -0.49642, -0.666521, 0.523058, 0.166218], [-0.513136, 0.198399, 0.666661, 0.409206, 0.405735, -0.183561], [-0.070267, -0.333685, 0.17679, 0.210017, 0.133877, -0.143263], [0.443671, -0.013988, 0.83607, -0.003934, -0.091661, -0.185732], [-0.082282, 0.012043, -0.754937, -0.185148, 0.432936, 0.564219]], "network.4.bias": [-0.297483, 0.208571, -0.490865, -0.600305, -0.15832, 0.62296], "network.6.weight": [[0.703449, 0.047252, 0.256252, -0.200103, 0.245893, -0.622611], [0.326383, 0.13822, 0.299503, 0.357134, -0.407151, -0.296644], [-0.175179, 0.46842, -0.224394, -0.245243, -0.155015, 0.685423], [-0.291189, 0.300957, -0.734125, -0.294348, 0.090271, 0.275749], [-0.086708, 0.203559, -0.36829, -0.460637, -0.198299, 0.638691], [0.369201, -0.368483, 0.421117, -0.001426, 0.494741, -0.333581]], "network.6.bias": [0.026851, -0.358036, 0.391971, 0.594343, 0.335667, 0.215031], "network.8.weight": [[0.642966, 0.292737, -0.388219, -0.541157, -0.714485, 0.422511]], "network.8.bias": [-0.637183]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6870701909065247, "train_acc": 0.555, "val_loss": 0.6929000616073608, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6903543174266815, "train_acc": 0.555, "val_loss": 0.6867101788520813, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6746959090232849, "train_acc": 0.585, "val_loss": 0.6621384620666504, "val_acc": 0.74}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6706501841545105, "train_acc": 0.63, "val_loss": 0.6455277800559998, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6298823058605194, "train_acc": 0.68, "val_loss": 0.6175651550292969, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5977169275283813, "train_acc": 0.695, "val_loss": 0.5859123468399048, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5501676797866821, "train_acc": 0.775, "val_loss": 0.5255985260009766, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4963788241147995, "train_acc": 0.795, "val_loss": 0.44873741269111633, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4141329526901245, "train_acc": 0.84, "val_loss": 0.369057834148407, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36836133897304535, "train_acc": 0.845, "val_loss": 0.32961905002593994, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3331908583641052, "train_acc": 0.845, "val_loss": 0.2601150870323181, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3169332444667816, "train_acc": 0.855, "val_loss": 0.2866438925266266, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.33056358993053436, "train_acc": 0.855, "val_loss": 0.2050333172082901, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.31811584532260895, "train_acc": 0.86, "val_loss": 0.2087371051311493, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6929000616073608, "final_val_loss": 0.6455277800559998, "initial_val_acc": 0.52, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6175651550292969, "final_val_loss": 0.2087371051311493, "initial_val_acc": 0.74, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.22000000000000008, "first_improvement_epoch": 3}}
|
48
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.96, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.03338577609673197, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.294117,
-0.431113,
0.007807,
-0.508502,
-0.539999
],
[
-0.11566,
0.354064,
-0.581269,
0.408444,
-0.253395
],
[
0.251171,
-0.199309,
0.421925,
0.356924,
0.158902
],
[
0.058998,
0.438302,
0.057019,
-0.115331,
0.240302
],
[
-0.306239,
0.065959,
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## Activation Signature
### 0
fourier: [[33.760853, 35.078904, 39.583315, 41.380781, 253.429436], [25.230773, 28.478122, 32.474139, 34.763356, 35.251686], [20.685976, 20.945668, 22.003342, 27.350574, 146.193739], [13.637961, 14.577522, 17.419862, 18.310666, 82.644597], [21.750453, 23.256727, 24.279211, 25.569375, 143.358201], [23.110342, 29.677473, 33.490960, 33.577115, 194.255089], [22.493142, 24.254401, 28.177461, 29.336281, 93.627612], [10.336605, 11.246305, 11.594101, 11.612845, 41.242354]]
### 2
fourier: [[10.118774, 10.154963, 10.941280, 11.986136, 31.890699], [16.236748, 17.105182, 18.462816, 19.665247, 100.481888], [13.664427, 14.485922, 15.412557, 16.519485, 73.305366], [9.610015, 9.888118, 10.302614, 10.653967, 110.199656], [10.093747, 10.863945, 12.412091, 12.961266, 80.774623], [18.021825, 18.143032, 18.680793, 21.146539, 127.763200], [8.262445, 8.776737, 8.979270, 9.794370, 72.397353], [4.883636, 5.083967, 5.602006, 5.725902, 5.732228]]
### 4
fourier: [[12.606295, 13.574828, 14.498944, 15.127380, 97.459817], [7.648418, 7.794141, 8.557009, 9.259528, 23.840362], [17.069515, 17.637684, 18.081198, 19.662435, 26.087839], [5.824140, 6.228218, 6.244549, 6.278934, 65.557293], [9.783351, 9.830978, 10.322199, 10.762324, 11.210753], [9.400059, 10.007458, 10.048492, 10.368973, 58.315643], [1.664093, 1.835271, 1.862266, 2.263355, 24.227308], [3.084122, 3.228194, 3.258315, 4.247395, 23.025299]]
### 6
fourier: [[5.176212, 5.299867, 6.020743, 6.094278, 28.384951], [8.640939, 9.147899, 10.419114, 10.477279, 22.557189], [7.173726, 7.944773, 8.116461, 8.336869, 38.300507], [14.289631, 15.605351, 17.935117, 18.211802, 57.519244], [8.585541, 9.262495, 10.146818, 10.198759, 31.157281], [5.509979, 6.469160, 6.471588, 6.548044, 29.183662], [9.958403, 10.057931, 11.752079, 11.969591, 28.487373], [1.991786, 2.090738, 2.102272, 2.107355, 2.420638]]
### 8
fourier: [[12.228282, 14.176376, 14.250066, 15.703105, 57.009286]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[33.760853, 35.078904, 39.583315, 41.380781, 253.429436], [25.230773, 28.478122, 32.474139, 34.763356, 35.251686], [20.685976, 20.945668, 22.003342, 27.350574, 146.193739], [13.637961, 14.577522, 17.419862, 18.310666, 82.644597], [21.750453, 23.256727, 24.279211, 25.569375, 143.358201], [23.110342, 29.677473, 33.490960, 33.577115, 194.255089], [22.493142, 24.254401, 28.177461, 29.336281, 93.627612], [10.336605, 11.246305, 11.594101, 11.612845, 41.242354]]
### 2
fourier: [[10.118774, 10.154963, 10.941280, 11.986136, 31.890699], [16.236748, 17.105182, 18.462816, 19.665247, 100.481888], [13.664427, 14.485922, 15.412557, 16.519485, 73.305366], [9.610015, 9.888118, 10.302614, 10.653967, 110.199656], [10.093747, 10.863945, 12.412091, 12.961266, 80.774623], [18.021825, 18.143032, 18.680793, 21.146539, 127.763200], [8.262445, 8.776737, 8.979270, 9.794370, 72.397353], [4.883636, 5.083967, 5.602006, 5.725902, 5.732228]]
### 4
fourier: [[12.606295, 13.574828, 14.498944, 15.127380, 97.459817], [7.648418, 7.794141, 8.557009, 9.259528, 23.840362], [17.069515, 17.637684, 18.081198, 19.662435, 26.087839], [5.824140, 6.228218, 6.244549, 6.278934, 65.557293], [9.783351, 9.830978, 10.322199, 10.762324, 11.210753], [9.400059, 10.007458, 10.048492, 10.368973, 58.315643], [1.664093, 1.835271, 1.862266, 2.263355, 24.227308], [3.084122, 3.228194, 3.258315, 4.247395, 23.025299]]
### 6
fourier: [[5.176212, 5.299867, 6.020743, 6.094278, 28.384951], [8.640939, 9.147899, 10.419114, 10.477279, 22.557189], [7.173726, 7.944773, 8.116461, 8.336869, 38.300507], [14.289631, 15.605351, 17.935117, 18.211802, 57.519244], [8.585541, 9.262495, 10.146818, 10.198759, 31.157281], [5.509979, 6.469160, 6.471588, 6.548044, 29.183662], [9.958403, 10.057931, 11.752079, 11.969591, 28.487373], [1.991786, 2.090738, 2.102272, 2.107355, 2.420638]]
### 8
fourier: [[12.228282, 14.176376, 14.250066, 15.703105, 57.009286]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.76085263970049, 35.07890395555377, 39.58331536047666, 41.38078099256827, 253.42943635582924]}, "1": {"fourier": [25.230772526752105, 28.47812201591299, 32.474139207171866, 34.76335638422219, 35.251685828771386]}, "2": {"fourier": [20.68597608681275, 20.94566815000284, 22.003342358245106, 27.3505739579501, 146.19373857975006]}, "3": {"fourier": [13.637960750389563, 14.577522176995478, 17.419862287032576, 18.310665679090842, 82.64459656178951]}, "4": {"fourier": [21.75045274676251, 23.256726690815245, 24.279211340325293, 25.569374786124715, 143.35820101946592]}, "5": {"fourier": [23.110342151986913, 29.677473119945443, 33.49096007070901, 33.57711457048402, 194.25508853793144]}, "6": {"fourier": [22.49314170870564, 24.254400525254905, 28.177460521334854, 29.336281270444115, 93.62761200964451]}, "7": {"fourier": [10.33660464132978, 11.246304998876822, 11.594101066657307, 11.612845408842052, 41.242354333400726]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [10.118773755789961, 10.15496320895553, 10.941279634963704, 11.986135786608207, 31.89069899916649]}, "1": {"fourier": [16.23674831901285, 17.10518157443267, 18.462815789083518, 19.665246607817448, 100.48188750259578]}, "2": {"fourier": [13.664426991548872, 14.485922244943975, 15.412557262690974, 16.51948464440453, 73.30536632239819]}, "3": {"fourier": [9.610014913794485, 9.888118174665136, 10.30261376470841, 10.653967424772388, 110.19965559244156]}, "4": {"fourier": [10.093747292064133, 10.86394479890217, 12.41209089418567, 12.961266150722144, 80.7746230121702]}, "5": {"fourier": [18.021824806279536, 18.143032206343737, 18.680792942632987, 21.146538690521865, 127.76319989562035]}, "6": {"fourier": [8.262445342414601, 8.776736731902668, 8.979269799457626, 9.794370304511828, 72.3973530381918]}, "7": {"fourier": [4.883636384137343, 5.083966951555218, 5.6020055311069665, 5.725902400994198, 5.732228265280442]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [12.60629532771112, 13.574827589619952, 14.498943533878313, 15.127380458034914, 97.45981662161648]}, "1": {"fourier": [7.648418462981323, 7.794140562129244, 8.557009010591523, 9.25952813921303, 23.840361550450325]}, "2": {"fourier": [17.06951492170701, 17.637684095848364, 18.08119845661348, 19.662435214093044, 26.087838739156723]}, "3": {"fourier": [5.824139874527815, 6.228217666700791, 6.244549166504115, 6.278933756981284, 65.55729252099991]}, "4": {"fourier": [9.783351461311028, 9.830977872014046, 10.322198574842401, 10.762323723164442, 11.210752939398322]}, "5": {"fourier": [9.400059291185011, 10.007457738676484, 10.048491937376088, 10.368972883246819, 58.315642938017845]}, "6": {"fourier": [1.6640931905410281, 1.835271431456896, 1.8622660805757252, 2.2633545850955747, 24.22730778157711]}, "7": {"fourier": [3.0841222706277054, 3.2281941378838876, 3.2583147515111337, 4.247395140261957, 23.025299452245235]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [5.17621226933028, 5.299867265466901, 6.020743077281104, 6.094277568896842, 28.384951397776604]}, "1": {"fourier": [8.640938801594743, 9.14789877092302, 10.419113885004682, 10.477279320411721, 22.557189270853996]}, "2": {"fourier": [7.173726285178529, 7.944773014610309, 8.116460870889826, 8.336869423578905, 38.300506852567196]}, "3": {"fourier": [14.28963145877339, 15.605351491353948, 17.935116995388334, 18.211801884808526, 57.519244000315666]}, "4": {"fourier": [8.585541373076904, 9.262495466661287, 10.14681790523238, 10.198759018073403, 31.15728062391281]}, "5": {"fourier": [5.509979411835793, 6.469160459765814, 6.4715878293546885, 6.548044189471682, 29.18366239219904]}, "6": {"fourier": [9.958403096960467, 10.057930919096371, 11.752079013670924, 11.969591116545834, 28.48737297952175]}, "7": {"fourier": [1.9917860493729764, 2.0907384268686036, 2.10227184591243, 2.107355020189022, 2.420637732959685]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [12.228281636979537, 14.176376454908926, 14.250066323430836, 15.703104638041827, 57.00928631424904]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.294117, -0.431113, 0.007807, -0.508502, -0.539999], [-0.11566, 0.354064, -0.581269, 0.408444, -0.253395], [0.251171, -0.199309, 0.421925, 0.356924, 0.158902], [0.058998, 0.438302, 0.057019, -0.115331, 0.240302], [-0.306239, 0.065959, 0.357678, 0.245003, 0.479253], [-0.336443, 0.241839, -0.277903, -0.253299, -0.521893], [0.6327, 0.027131, 0.185621, 0.038908, -0.328622], [-0.143897, 0.219713, -0.142596, 0.147268, 0.011263]], "network.0.bias": [0.075857, 0.205918, -0.167746, -0.121989, -0.00985, -0.413027, 0.137628, 0.205124], "network.2.weight": [[-0.071417, 0.409318, 0.094007, 0.326981, 0.014632, 0.132259, -0.311554, 0.209053], [-0.2498, 0.028005, 0.317337, 0.239181, -0.192639, 0.210352, 0.482316, 0.151551], [-0.127193, 0.167839, 0.17017, -0.167396, 0.462196, -0.028644, -0.344919, 0.054333], [-0.308109, 0.025596, -0.016742, -0.203356, -0.326627, -0.027454, -0.052189, -0.124576], [0.142116, 0.097184, 0.19524, -0.185432, 0.116507, 0.162906, 0.407529, 0.101704], [-0.126347, 0.130106, 0.397902, -0.097751, 0.439479, 0.018704, -0.488717, 0.287698], [0.311924, 0.027965, -0.075914, -0.439568, -0.107466, -0.261245, 0.084594, -0.015553], [-0.041293, 0.090671, -0.323167, -0.188587, 0.266918, 0.323226, 0.196103, 0.330492]], "network.2.bias": [-0.150482, 0.023039, 0.202154, -0.351126, -0.026655, 0.464927, -0.190506, -0.143353], "network.4.weight": [[0.120426, 0.017691, 0.5299, 0.12519, -0.010886, 0.376193, 0.095413, -0.044376], [-0.152411, 0.347323, -0.236894, -0.288586, 0.048754, 0.029061, -0.084501, 0.097159], [-0.383701, 0.429854, -0.239151, 0.123847, 0.383385, -0.320273, 0.08904, -0.087603], [-0.300547, -0.192169, 0.070105, -0.150578, -0.19896, 0.084126, 0.159916, -0.158725], [-0.124627, 0.111745, -0.135446, -0.028912, 0.404858, -0.277933, 0.042004, -0.159621], [0.213756, -0.165279, -0.120812, 0.053187, 0.050368, 0.454213, -0.197874, 0.514223], [-0.024641, 0.055756, -0.346704, -0.344913, -0.143403, 0.171948, -0.008732, 0.212166], [-0.19078, -0.096054, 0.249185, -0.1041, 0.260511, -0.184339, 0.237487, -0.35604]], "network.4.bias": [-0.024689, 0.065093, 0.348516, -0.367422, 0.237492, 0.057421, -0.155173, -0.204191], "network.6.weight": [[0.265492, 0.02101, 0.018239, -0.222885, 0.14996, 0.332564, 0.11329, -0.2395], [-0.011582, 0.277855, 0.263685, -0.011941, 0.174429, -0.351575, 0.239932, -0.282934], [0.41315, 0.07484, -0.177973, -0.09357, -0.149733, -0.006169, 0.152829, 0.151889], [0.392946, -0.166829, -0.437971, -0.041287, -0.412772, 0.293636, 0.093313, -0.128491], [0.25662, -0.302667, -0.087338, 0.058231, -0.220227, 0.230538, -0.1498, 0.155059], [-0.203306, 0.377441, 0.130494, -0.081566, -0.15752, -0.102427, -0.240213, -0.267588], [-0.174051, 0.171567, 0.430839, -0.462986, 0.165375, -0.098941, -0.116374, -0.205405], [-0.132063, -0.005539, 0.086391, 0.19052, -0.115986, 0.469563, 0.333931, 0.160001]], "network.6.bias": [-0.258526, 0.234643, 0.092699, 0.403666, 0.108427, -0.175868, 0.250048, -0.17261], "network.8.weight": [[-0.149902, 0.275995, -0.167665, -0.552142, -0.15858, 0.026022, 0.335666, -0.286952]], "network.8.bias": [-0.182353]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6998046338558197, "train_acc": 0.475, "val_loss": 0.6728008389472961, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6627455055713654, "train_acc": 0.61, "val_loss": 0.6438949704170227, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6151753962039948, "train_acc": 0.57, "val_loss": 0.5632805824279785, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5215652883052826, "train_acc": 0.805, "val_loss": 0.36232537031173706, "val_acc": 0.96}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.332680806517601, "train_acc": 0.92, "val_loss": 0.27535808086395264, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.25333915650844574, "train_acc": 0.93, "val_loss": 0.26403263211250305, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2742947190999985, "train_acc": 0.93, "val_loss": 0.27617430686950684, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2648366615176201, "train_acc": 0.93, "val_loss": 0.259359210729599, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.22887392342090607, "train_acc": 0.94, "val_loss": 0.3010455071926117, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2479109987616539, "train_acc": 0.93, "val_loss": 0.24442538619041443, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.19654688611626625, "train_acc": 0.935, "val_loss": 0.21883125603199005, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.22000350803136826, "train_acc": 0.94, "val_loss": 0.21804824471473694, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.22596332430839539, "train_acc": 0.94, "val_loss": 0.1941293329000473, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6728008389472961, "final_val_loss": 0.5632805824279785, "initial_val_acc": 0.62, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.36232537031173706, "final_val_loss": 0.1941293329000473, "initial_val_acc": 0.96, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
49
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.88, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2987, "learning_rate": 0.01022236864752753, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.134311,
0.212739,
0.452153,
-0.000734,
0.028527
],
[
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0.496287,
-0.368143,
-0.232818
],
[
0.315676,
0.405613,
-0.340758,
0.026207,
-0.239432
],
[
0.517369,
0.288585,
-0.034124,
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0.291402
],
[
-0.113165,
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0.190961,
0.224781,
0.022657
],
[
-0.410355,
0.277601,
-0.317749,
0.251799,
-0.594597
],
[
0.541828,
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0.625197
]
],
"network.0.bias": [
0.512073,
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],
"network.2.weight": [
[
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[
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0.53426,
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],
[
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0.180262,
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0.00994,
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],
[
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0.101805,
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0.028804
],
[
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0.027401,
0.141577,
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
[
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[
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[
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[
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[
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[
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[
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],
"network.6.bias": [
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.713094, 19.260649, 19.968561, 25.061825, 184.048138], [22.037665, 22.662311, 24.675970, 25.420787, 61.422837], [18.466116, 18.620381, 23.087450, 29.376691, 45.096947], [23.182859, 24.462529, 26.610737, 28.084536, 89.598016], [7.822077, 9.980347, 10.535566, 11.213709, 111.430550], [31.978305, 32.659093, 34.301037, 38.341684, 56.078368], [27.353345, 35.462586, 38.403580, 41.496521, 151.680342]]
### 2
fourier: [[8.361628, 8.494811, 10.208136, 12.016045, 12.667602], [16.973426, 18.504809, 18.793821, 19.019428, 95.605832], [7.174527, 7.246520, 8.236799, 10.423926, 65.018104], [9.654860, 10.286065, 11.358023, 13.285974, 81.869874], [10.830498, 11.082242, 12.532722, 13.491816, 18.116068], [21.159455, 21.825715, 24.736375, 25.652552, 26.809770], [24.486319, 26.410368, 27.142327, 30.876324, 34.558279]]
### 4
fourier: [[11.481673, 11.999381, 13.025020, 13.925015, 16.051020], [3.062863, 3.208843, 3.435539, 4.238612, 65.570751], [7.455074, 8.267835, 9.134015, 10.010857, 42.521238], [10.083895, 10.171526, 10.801364, 10.905373, 22.154207], [9.826814, 10.086444, 10.675277, 10.679289, 61.854928], [15.037433, 15.111544, 16.654440, 17.503706, 20.985987], [14.751542, 14.967156, 16.013389, 16.164919, 18.704295]]
### 6
fourier: [[3.493358, 3.597761, 4.128380, 4.407607, 50.447584], [9.190254, 9.760304, 10.037281, 10.567397, 84.620356], [13.406743, 13.936440, 17.477730, 19.169347, 19.835102], [13.096550, 13.906164, 14.443644, 17.575454, 19.955007], [8.426632, 8.885831, 9.112880, 11.456253, 13.039864], [12.702302, 13.108768, 16.088291, 18.215692, 21.436053], [17.071480, 18.128305, 21.364825, 23.345662, 81.023514]]
### 8
fourier: [[23.030003, 23.133283, 29.643119, 32.882518, 56.515658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.026207,
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}
## Activation Signature
### 0
fourier: [[18.713094, 19.260649, 19.968561, 25.061825, 184.048138], [22.037665, 22.662311, 24.675970, 25.420787, 61.422837], [18.466116, 18.620381, 23.087450, 29.376691, 45.096947], [23.182859, 24.462529, 26.610737, 28.084536, 89.598016], [7.822077, 9.980347, 10.535566, 11.213709, 111.430550], [31.978305, 32.659093, 34.301037, 38.341684, 56.078368], [27.353345, 35.462586, 38.403580, 41.496521, 151.680342]]
### 2
fourier: [[8.361628, 8.494811, 10.208136, 12.016045, 12.667602], [16.973426, 18.504809, 18.793821, 19.019428, 95.605832], [7.174527, 7.246520, 8.236799, 10.423926, 65.018104], [9.654860, 10.286065, 11.358023, 13.285974, 81.869874], [10.830498, 11.082242, 12.532722, 13.491816, 18.116068], [21.159455, 21.825715, 24.736375, 25.652552, 26.809770], [24.486319, 26.410368, 27.142327, 30.876324, 34.558279]]
### 4
fourier: [[11.481673, 11.999381, 13.025020, 13.925015, 16.051020], [3.062863, 3.208843, 3.435539, 4.238612, 65.570751], [7.455074, 8.267835, 9.134015, 10.010857, 42.521238], [10.083895, 10.171526, 10.801364, 10.905373, 22.154207], [9.826814, 10.086444, 10.675277, 10.679289, 61.854928], [15.037433, 15.111544, 16.654440, 17.503706, 20.985987], [14.751542, 14.967156, 16.013389, 16.164919, 18.704295]]
### 6
fourier: [[3.493358, 3.597761, 4.128380, 4.407607, 50.447584], [9.190254, 9.760304, 10.037281, 10.567397, 84.620356], [13.406743, 13.936440, 17.477730, 19.169347, 19.835102], [13.096550, 13.906164, 14.443644, 17.575454, 19.955007], [8.426632, 8.885831, 9.112880, 11.456253, 13.039864], [12.702302, 13.108768, 16.088291, 18.215692, 21.436053], [17.071480, 18.128305, 21.364825, 23.345662, 81.023514]]
### 8
fourier: [[23.030003, 23.133283, 29.643119, 32.882518, 56.515658]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.134311, 0.212739, 0.452153, -0.000734, 0.028527], [-0.206364, 0.429733, 0.496287, -0.368143, -0.232818], [0.315676, 0.405613, -0.340758, 0.026207, -0.239432], [0.517369, 0.288585, -0.034124, -0.147756, 0.291402], [-0.113165, -0.046769, 0.190961, 0.224781, 0.022657], [-0.410355, 0.277601, -0.317749, 0.251799, -0.594597], [0.541828, -0.227487, 0.061418, 0.397021, 0.625197]], "network.0.bias": [0.512073, 0.19613, 0.320023, -0.145427, 0.555298, 0.238831, -0.325167], "network.2.weight": [[0.056647, -0.284935, 0.259555, -0.019287, -0.332403, 0.059577, 0.187779], [0.290425, -0.352227, -0.169422, -0.139472, 0.53426, -0.143079, 0.372862], [-0.114588, -0.163862, 0.180262, -0.121488, 0.00994, 0.171054, -0.042888], [-0.186446, -0.364082, 0.101805, -0.066966, -0.22304, -0.180876, 0.028804], [0.060988, 0.268322, -0.194049, -0.220441, 0.027401, 0.141577, -0.120353], [0.300896, 0.030184, 0.220405, -0.531583, 0.331738, -0.212901, -0.510471], [0.330838, 0.497068, -0.257068, -0.508405, 0.403137, 0.413517, -0.396604]], "network.2.bias": [0.144856, -0.156186, -0.34881, 0.014623, -0.065319, 0.087755, -0.173311], "network.4.weight": [[0.030654, -0.157145, 0.08029, 0.172297, -0.001403, 0.565589, 0.481451], [-0.093123, -0.033266, -0.322148, 0.290516, 0.338782, 0.143092, -0.373996], [0.082827, 0.15632, -0.38872, -0.460025, -0.399544, -0.533907, -0.045614], [0.256589, 0.363575, 0.305488, 0.455501, -0.182664, -0.348568, -0.080512], [0.048839, 0.382022, -0.277291, -0.303909, -0.170513, -0.279125, -0.134057], [-0.453987, -0.374817, -0.101956, -0.086292, 0.118141, 0.33008, 0.536811], [-0.314255, -0.46938, 0.050511, 0.28305, 0.352894, 0.300011, 0.345188]], "network.4.bias": [-0.126825, -0.50681, 0.391939, 0.074781, 0.391864, 0.086746, 0.174889], "network.6.weight": [[-0.160122, 0.378908, -0.310871, 0.231351, -0.260657, 0.064082, 0.264128], [-0.218134, -0.405082, 0.462107, 0.101896, 0.43991, 0.113919, -0.189612], [0.521477, 0.024396, -0.119748, 0.019962, -0.417997, 0.244724, 0.419233], [0.169054, 0.224776, -0.232901, -0.484699, -0.137289, 0.421552, 0.502121], [-0.143313, 0.020369, -0.080099, -0.009794, 0.296491, -0.477951, -0.16909], [0.159503, 0.005956, -0.168463, -0.440506, -0.151125, 0.327181, 0.53252], [-0.280681, -0.465774, 0.650386, 0.146308, 0.604359, -0.318758, -0.434956]], "network.6.bias": [-0.314434, 0.459623, 0.21835, -0.008548, 0.078424, -0.21626, 0.424438], "network.8.weight": [[0.136762, -0.328816, 0.442038, 0.459787, -0.415408, 0.608145, -0.523173]], "network.8.bias": [-0.080262]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7098904848098755, "train_acc": 0.425, "val_loss": 0.6973536014556885, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6993797719478607, "train_acc": 0.425, "val_loss": 0.6904628276824951, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6898059546947479, "train_acc": 0.475, "val_loss": 0.6822115182876587, "val_acc": 0.76}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6803725361824036, "train_acc": 0.76, "val_loss": 0.6698769927024841, "val_acc": 0.7}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6677872240543365, "train_acc": 0.73, "val_loss": 0.6502061486244202, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.643722414970398, "train_acc": 0.795, "val_loss": 0.6172191500663757, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5783620476722717, "train_acc": 0.84, "val_loss": 0.5796382427215576, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.539601057767868, "train_acc": 0.815, "val_loss": 0.553925633430481, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.49017277359962463, "train_acc": 0.82, "val_loss": 0.5237324237823486, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.43030203878879547, "train_acc": 0.84, "val_loss": 0.47855836153030396, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.39601998031139374, "train_acc": 0.87, "val_loss": 0.4328630864620209, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.36168859899044037, "train_acc": 0.885, "val_loss": 0.3977106511592865, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3340979963541031, "train_acc": 0.895, "val_loss": 0.3757334053516388, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.32055382430553436, "train_acc": 0.9, "val_loss": 0.36662086844444275, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.32689670473337173, "train_acc": 0.89, "val_loss": 0.36512282490730286, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6973536014556885, "final_val_loss": 0.6502061486244202, "initial_val_acc": 0.46, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6172191500663757, "final_val_loss": 0.36512282490730286, "initial_val_acc": 0.76, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 13}, "improvement": 0.18000000000000005, "first_improvement_epoch": 4}}
|
50
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9301, "learning_rate": 0.0794152084668348, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.12.weight": [
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}
## Activation Signature
### 0
fourier: [[23.714466, 25.460969, 27.035652, 30.839869, 32.787829], [20.618606, 22.261211, 23.555836, 26.448896, 26.583615], [16.930276, 19.263275, 19.846061, 28.416404, 54.733662], [36.785317, 43.685248, 47.287292, 48.230202, 329.622984], [45.232216, 46.346646, 51.694102, 52.414996, 132.532557], [37.415772, 38.020558, 44.172513, 44.494866, 181.022604], [33.971183, 36.183907, 37.162121, 39.144685, 240.652502], [29.018088, 29.076683, 29.182626, 34.376274, 292.102559]]
### 2
fourier: [[30.585303, 31.316965, 34.926193, 36.038727, 138.495008], [65.802680, 65.874446, 66.172445, 68.154281, 182.186754], [43.256825, 43.485141, 48.670752, 53.129654, 118.927145], [5.874921, 5.986664, 6.052598, 7.401145, 31.422660], [57.735143, 58.413337, 59.319977, 60.440920, 61.765777], [31.121013, 31.995158, 36.094368, 36.531413, 156.330742], [39.163295, 45.406735, 45.856200, 51.106524, 263.668837], [15.545720, 15.986985, 19.473169, 21.901468, 167.730127]]
### 4
fourier: [[23.715136, 24.259510, 25.222929, 25.519169, 152.476632], [30.806232, 31.197464, 32.594035, 37.642584, 236.524661], [35.833699, 41.217400, 46.856777, 53.976790, 318.247482], [25.622984, 25.659421, 26.399191, 28.332887, 165.089459], [39.654561, 42.213731, 48.382125, 52.541231, 284.279879], [60.316263, 61.362332, 63.389928, 67.914870, 233.411606], [42.079756, 44.005420, 53.391868, 61.947160, 62.358243], [44.370997, 46.345270, 52.350261, 58.386986, 62.822961]]
### 6
fourier: [[21.422988, 21.727207, 22.609284, 30.058825, 138.390459], [14.486615, 15.949221, 15.990087, 21.609203, 114.706962], [44.433803, 47.736371, 50.461612, 53.819058, 217.906805], [55.889237, 71.713787, 79.702888, 80.476311, 85.411127], [57.685166, 64.145891, 72.112371, 73.057198, 106.143245], [15.377849, 15.680777, 16.231866, 21.440624, 106.984594], [19.929133, 20.065619, 20.661272, 21.826145, 136.949173], [31.084006, 34.447334, 34.515134, 46.453181, 223.089950]]
### 8
fourier: [[44.529210, 56.395568, 57.067620, 57.269293, 96.605468], [1.724173, 1.894661, 2.242630, 2.261399, 21.317173], [32.224785, 36.857453, 37.514960, 37.642691, 134.503401], [5.624699, 6.183293, 7.307977, 7.368952, 38.703583], [34.002100, 38.660329, 38.823009, 41.536379, 137.123798], [25.200673, 25.488587, 32.208530, 36.508997, 36.822733], [26.653070, 30.623817, 30.645072, 30.721504, 118.496323], [49.117605, 62.619632, 70.225323, 70.811875, 75.421406]]
### 10
fourier: [[22.115655, 23.074398, 23.452824, 26.415139, 167.123847], [6.097302, 6.195611, 6.393239, 6.718232, 41.982312], [9.531578, 10.098041, 10.205455, 11.457305, 103.236971], [7.225922, 7.228686, 7.511498, 8.263786, 68.755447], [7.850640, 8.070054, 8.298847, 9.148178, 77.602494], [59.010949, 61.557098, 62.824286, 69.837131, 346.920470], [1.369819, 1.375548, 1.432636, 1.705199, 32.780859], [57.641980, 60.263053, 61.384828, 68.508448, 336.742250]]
### 12
fourier: [[67.760872, 69.430551, 71.626305, 78.806281, 338.077846]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.714466, 25.460969, 27.035652, 30.839869, 32.787829], [20.618606, 22.261211, 23.555836, 26.448896, 26.583615], [16.930276, 19.263275, 19.846061, 28.416404, 54.733662], [36.785317, 43.685248, 47.287292, 48.230202, 329.622984], [45.232216, 46.346646, 51.694102, 52.414996, 132.532557], [37.415772, 38.020558, 44.172513, 44.494866, 181.022604], [33.971183, 36.183907, 37.162121, 39.144685, 240.652502], [29.018088, 29.076683, 29.182626, 34.376274, 292.102559]]
### 2
fourier: [[30.585303, 31.316965, 34.926193, 36.038727, 138.495008], [65.802680, 65.874446, 66.172445, 68.154281, 182.186754], [43.256825, 43.485141, 48.670752, 53.129654, 118.927145], [5.874921, 5.986664, 6.052598, 7.401145, 31.422660], [57.735143, 58.413337, 59.319977, 60.440920, 61.765777], [31.121013, 31.995158, 36.094368, 36.531413, 156.330742], [39.163295, 45.406735, 45.856200, 51.106524, 263.668837], [15.545720, 15.986985, 19.473169, 21.901468, 167.730127]]
### 4
fourier: [[23.715136, 24.259510, 25.222929, 25.519169, 152.476632], [30.806232, 31.197464, 32.594035, 37.642584, 236.524661], [35.833699, 41.217400, 46.856777, 53.976790, 318.247482], [25.622984, 25.659421, 26.399191, 28.332887, 165.089459], [39.654561, 42.213731, 48.382125, 52.541231, 284.279879], [60.316263, 61.362332, 63.389928, 67.914870, 233.411606], [42.079756, 44.005420, 53.391868, 61.947160, 62.358243], [44.370997, 46.345270, 52.350261, 58.386986, 62.822961]]
### 6
fourier: [[21.422988, 21.727207, 22.609284, 30.058825, 138.390459], [14.486615, 15.949221, 15.990087, 21.609203, 114.706962], [44.433803, 47.736371, 50.461612, 53.819058, 217.906805], [55.889237, 71.713787, 79.702888, 80.476311, 85.411127], [57.685166, 64.145891, 72.112371, 73.057198, 106.143245], [15.377849, 15.680777, 16.231866, 21.440624, 106.984594], [19.929133, 20.065619, 20.661272, 21.826145, 136.949173], [31.084006, 34.447334, 34.515134, 46.453181, 223.089950]]
### 8
fourier: [[44.529210, 56.395568, 57.067620, 57.269293, 96.605468], [1.724173, 1.894661, 2.242630, 2.261399, 21.317173], [32.224785, 36.857453, 37.514960, 37.642691, 134.503401], [5.624699, 6.183293, 7.307977, 7.368952, 38.703583], [34.002100, 38.660329, 38.823009, 41.536379, 137.123798], [25.200673, 25.488587, 32.208530, 36.508997, 36.822733], [26.653070, 30.623817, 30.645072, 30.721504, 118.496323], [49.117605, 62.619632, 70.225323, 70.811875, 75.421406]]
### 10
fourier: [[22.115655, 23.074398, 23.452824, 26.415139, 167.123847], [6.097302, 6.195611, 6.393239, 6.718232, 41.982312], [9.531578, 10.098041, 10.205455, 11.457305, 103.236971], [7.225922, 7.228686, 7.511498, 8.263786, 68.755447], [7.850640, 8.070054, 8.298847, 9.148178, 77.602494], [59.010949, 61.557098, 62.824286, 69.837131, 346.920470], [1.369819, 1.375548, 1.432636, 1.705199, 32.780859], [57.641980, 60.263053, 61.384828, 68.508448, 336.742250]]
### 12
fourier: [[67.760872, 69.430551, 71.626305, 78.806281, 338.077846]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.714466329376457, 25.46096852946308, 27.03565166052431, 30.83986926621911, 32.787829462745826]}, "1": {"fourier": [20.61860607183295, 22.26121073961258, 23.5558355600264, 26.448895754481356, 26.583614761350564]}, "2": {"fourier": [16.930275957959388, 19.263274830167, 19.846060762146408, 28.416404486378962, 54.73366168141365]}, "3": {"fourier": [36.78531743858194, 43.68524783075828, 47.28729152823237, 48.23020160529362, 329.62298423051834]}, "4": {"fourier": [45.23221571694009, 46.34664598139862, 51.69410228561509, 52.414996288146305, 132.53255651891232]}, "5": {"fourier": [37.41577181168815, 38.020557687340016, 44.172512743358205, 44.49486647427183, 181.02260354161263]}, "6": {"fourier": [33.971183284980974, 36.183906719725464, 37.162121379919526, 39.14468505382294, 240.65250152349472]}, "7": {"fourier": [29.018087667247492, 29.076682696724383, 29.182626171704698, 34.37627439976219, 292.1025589108467]}}, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.330823, 0.050935, -0.501294, 0.430313, 0.124624], [-0.668575, -0.052951, 0.494594, -0.104302, 0.19727], [-0.307943, -0.262292, 0.354011, -0.006374, 0.378026], [-0.580524, 0.052146, -0.037051, -0.6141, -0.742758], [1.132874, 0.343676, 0.106285, -0.343883, 0.029728], [-0.11404, -0.3695, 0.572374, 0.240625, 0.917326], [0.365507, 0.116018, -0.266067, -0.61862, -0.813299], [-0.346247, -0.115719, -0.58471, -0.386805, 0.028519]], "network.0.bias": [-0.010857, -0.371636, 0.27727, -0.724702, -0.084715, -0.016412, -0.454729, -0.58813], "network.2.weight": [[0.028275, 0.160652, -0.341875, 0.692039, -0.136861, 0.984248, 0.406292, 0.129601], [0.715823, 1.24882, 0.192616, 0.034186, -0.788149, 1.061518, -0.09882, 0.150526], [-0.16378, -0.533689, 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"network.12.bias": [0.740657]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6786696314811707, "train_acc": 0.57, "val_loss": 0.730593740940094, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6836384236812592, "train_acc": 0.58, "val_loss": 0.7284101843833923, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6577779948711395, "train_acc": 0.58, "val_loss": 0.6874572038650513, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6278922259807587, "train_acc": 0.51, "val_loss": 0.5325425863265991, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5757267773151398, "train_acc": 0.605, "val_loss": 0.4823895990848541, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4082958400249481, "train_acc": 0.895, "val_loss": 0.5504152774810791, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5266989767551422, "train_acc": 0.755, "val_loss": 0.5333928465843201, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.46477343142032623, "train_acc": 0.77, "val_loss": 0.476452112197876, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3892952501773834, "train_acc": 0.845, "val_loss": 0.37749579548835754, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.33324500918388367, "train_acc": 0.885, "val_loss": 0.33181461691856384, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2975316643714905, "train_acc": 0.895, "val_loss": 0.3195318877696991, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2733883112668991, "train_acc": 0.91, "val_loss": 0.38433563709259033, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3017972260713577, "train_acc": 0.9, "val_loss": 0.3800908029079437, "val_acc": 0.84}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.730593740940094, "final_val_loss": 0.6874572038650513, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5325425863265991, "final_val_loss": 0.3800908029079437, "initial_val_acc": 0.46, "final_val_acc": 0.84, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.44, "first_improvement_epoch": 2}}
|
51
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.016118345119958435, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[28.365855, 28.977097, 32.380426, 32.449308, 130.249187], [26.765182, 27.359572, 31.756852, 33.662062, 197.260798], [18.640811, 18.889032, 21.982749, 23.606855, 25.139924], [37.982124, 39.714749, 40.922292, 50.102114, 322.373341], [20.558411, 20.864029, 21.191552, 27.191824, 41.970008], [26.540781, 27.128602, 37.548858, 38.035307, 46.235194], [20.603010, 20.844517, 22.498394, 25.572168, 167.170837], [19.162296, 20.273547, 20.522339, 22.094760, 23.315707]]
### 2
fourier: [[10.217253, 10.450136, 10.874490, 11.596311, 52.715217], [15.041392, 16.100281, 16.118442, 20.005332, 134.867806], [11.481618, 12.136943, 16.406925, 16.448711, 135.940428], [24.016864, 25.028941, 25.606717, 26.095969, 144.532277], [24.603861, 25.412918, 29.441034, 31.329273, 207.936132], [12.407782, 12.573611, 12.886657, 14.372484, 51.348339], [17.030223, 18.099570, 19.014860, 20.942971, 138.935113], [30.335688, 31.983272, 36.735658, 37.011481, 213.614953]]
### 4
fourier: [[16.529041, 17.151849, 22.413383, 22.485120, 135.496483], [31.614886, 34.503137, 37.307599, 37.777375, 160.936890], [2.042451, 2.053323, 2.277777, 2.462800, 50.028691], [15.776278, 15.947940, 18.711860, 18.855405, 130.459067], [9.208555, 9.991893, 10.010894, 10.200536, 60.426529], [29.084098, 32.081627, 33.744733, 34.397266, 158.516467], [5.473234, 5.973836, 6.145360, 6.351684, 16.973250], [9.789315, 10.581069, 10.586639, 11.752018, 35.118444]]
### 6
fourier: [[41.199150, 42.042806, 42.846742, 45.293117, 188.785559], [19.254079, 19.449524, 19.520133, 20.459819, 70.054293], [23.808225, 24.083877, 24.275942, 24.981515, 119.353178], [0.840574, 0.843443, 0.885685, 1.123920, 43.696186], [1.753912, 1.818089, 1.941947, 1.986027, 33.910200], [7.636301, 8.369113, 8.478466, 8.617893, 53.696257], [31.898196, 32.845587, 33.711042, 35.617845, 139.988207], [1.934212, 1.951870, 2.052719, 2.472051, 48.143128]]
### 8
fourier: [[44.040257, 44.600227, 45.375302, 49.085215, 144.731663]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[28.365855, 28.977097, 32.380426, 32.449308, 130.249187], [26.765182, 27.359572, 31.756852, 33.662062, 197.260798], [18.640811, 18.889032, 21.982749, 23.606855, 25.139924], [37.982124, 39.714749, 40.922292, 50.102114, 322.373341], [20.558411, 20.864029, 21.191552, 27.191824, 41.970008], [26.540781, 27.128602, 37.548858, 38.035307, 46.235194], [20.603010, 20.844517, 22.498394, 25.572168, 167.170837], [19.162296, 20.273547, 20.522339, 22.094760, 23.315707]]
### 2
fourier: [[10.217253, 10.450136, 10.874490, 11.596311, 52.715217], [15.041392, 16.100281, 16.118442, 20.005332, 134.867806], [11.481618, 12.136943, 16.406925, 16.448711, 135.940428], [24.016864, 25.028941, 25.606717, 26.095969, 144.532277], [24.603861, 25.412918, 29.441034, 31.329273, 207.936132], [12.407782, 12.573611, 12.886657, 14.372484, 51.348339], [17.030223, 18.099570, 19.014860, 20.942971, 138.935113], [30.335688, 31.983272, 36.735658, 37.011481, 213.614953]]
### 4
fourier: [[16.529041, 17.151849, 22.413383, 22.485120, 135.496483], [31.614886, 34.503137, 37.307599, 37.777375, 160.936890], [2.042451, 2.053323, 2.277777, 2.462800, 50.028691], [15.776278, 15.947940, 18.711860, 18.855405, 130.459067], [9.208555, 9.991893, 10.010894, 10.200536, 60.426529], [29.084098, 32.081627, 33.744733, 34.397266, 158.516467], [5.473234, 5.973836, 6.145360, 6.351684, 16.973250], [9.789315, 10.581069, 10.586639, 11.752018, 35.118444]]
### 6
fourier: [[41.199150, 42.042806, 42.846742, 45.293117, 188.785559], [19.254079, 19.449524, 19.520133, 20.459819, 70.054293], [23.808225, 24.083877, 24.275942, 24.981515, 119.353178], [0.840574, 0.843443, 0.885685, 1.123920, 43.696186], [1.753912, 1.818089, 1.941947, 1.986027, 33.910200], [7.636301, 8.369113, 8.478466, 8.617893, 53.696257], [31.898196, 32.845587, 33.711042, 35.617845, 139.988207], [1.934212, 1.951870, 2.052719, 2.472051, 48.143128]]
### 8
fourier: [[44.040257, 44.600227, 45.375302, 49.085215, 144.731663]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.715754, 0.015917, -0.077141, 0.403519, 0.167713], [-0.388018, -0.353811, -0.432328, 0.030528, -0.128114], [0.128433, 0.355721, -0.558702, 0.088462, 0.025898], [0.606269, 0.614651, 0.252906, 0.181901, 0.379263], [-0.54221, -0.263333, 0.223677, -0.075058, 0.289621], [-0.748625, 0.250384, -0.228117, 0.325573, 0.303005], [0.083031, 0.42032, 0.044273, 0.291707, -0.124197], [-0.556954, 0.014976, 0.021831, -0.136817, 0.342207]], "network.0.bias": [-0.383538, -0.06857, 0.280997, 0.321303, 0.02479, 0.393723, 0.423355, 0.750612], "network.2.weight": [[-0.212203, -0.040772, -0.488699, 0.032107, -0.043588, 0.192556, 0.082493, 0.39132], [-0.01735, 0.130168, 0.175669, -0.437994, 0.195288, -0.221054, 0.144953, -0.061561], [-0.01673, -0.002251, 0.133785, -0.214749, -0.142444, -0.239578, -0.248544, -0.040662], [0.370735, -0.111474, 0.164735, 0.268378, 0.361793, -0.260994, 0.087707, -0.330832], [0.112422, -0.10198, 0.203072, 0.259762, 0.028788, 0.30015, 0.495921, -0.324683], [-0.180727, 0.159594, -0.259482, -0.22877, 0.493977, -0.067213, 0.182424, 0.043671], [-0.057264, 0.243562, -0.143159, -0.392205, -0.2754, 0.036909, 0.014331, -0.285062], [0.491952, -0.122297, 0.378539, 0.340968, -0.052404, -0.129112, 0.257212, -0.2824]], "network.2.bias": [0.479413, -0.049859, -0.016172, 0.198457, 0.056896, 0.241719, 0.20246, 0.032774], "network.4.weight": [[-0.251751, 0.252742, -0.072189, -0.300839, -0.3387, 0.281773, 0.08691, -0.149678], [-0.413299, -0.093631, 0.333501, 0.515662, 0.306594, 0.231434, -0.253493, 0.400308], [0.102252, 0.036557, -0.08243, 0.157217, 0.023065, 0.119228, 0.277193, -0.053049], [-0.220973, 0.03524, -0.063912, -0.331945, -0.048506, -0.337741, 0.243253, -0.269695], [0.034732, 0.361061, -0.152526, 0.203198, -0.421141, 0.27171, -0.276518, -0.036247], [-0.523358, 0.170044, 0.29353, 0.320028, 0.224359, 0.327705, 0.053584, 0.496063], [-0.094744, -0.011468, -0.188389, 0.17707, -0.059692, 0.081637, 0.281199, 0.062325], [-0.049661, -0.028595, 0.095675, 0.371634, -0.204942, 0.465017, -0.271527, 0.144884]], "network.4.bias": [0.261493, -0.44319, 0.301137, 0.002868, 0.020499, -0.127528, -0.049177, -0.075404], "network.6.weight": [[0.196683, 0.563039, -0.30268, -0.078462, 0.297326, 0.570342, 0.280102, 0.639732], [0.234954, 0.213418, -0.44961, -0.067773, -0.271673, 0.303561, 0.117535, 0.38757], [-0.256284, 0.053288, -0.182484, -0.279683, 0.036964, 0.549114, 0.095439, 0.5899], [0.057245, -0.019158, -0.0866, -0.007683, -0.503506, 0.004666, -0.280047, 0.127666], [-0.299826, 0.191123, -0.327253, 0.093521, -0.19115, -0.195882, -0.106299, -0.086281], [0.262601, 0.16533, -0.023285, -0.005692, -0.317178, -0.255969, -0.468388, -0.326983], [0.338768, 0.364446, -0.185202, 0.247097, 0.262164, 0.565566, 0.008381, 0.4758], [-0.160654, -0.263094, -0.088835, -0.238982, -0.020579, 0.227617, -0.267836, 0.119976]], "network.6.bias": [-0.137685, -0.10131, 0.074614, 0.570949, -0.138439, -0.19351, -0.24007, -0.396649], "network.8.weight": [[-0.556174, -0.144686, -0.217193, 0.353785, -0.198714, 0.056181, -0.447677, 0.194929]], "network.8.bias": [0.557204]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7291630506515503, "train_acc": 0.445, "val_loss": 0.705742597579956, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.705433189868927, "train_acc": 0.445, "val_loss": 0.6868367195129395, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6833629608154297, "train_acc": 0.575, "val_loss": 0.6656816005706787, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6694761216640472, "train_acc": 0.49, "val_loss": 0.6372501850128174, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6350871324539185, "train_acc": 0.72, "val_loss": 0.6008839011192322, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5963781476020813, "train_acc": 0.745, "val_loss": 0.5534173846244812, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5617131292819977, "train_acc": 0.73, "val_loss": 0.5285840034484863, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.5226469486951828, "train_acc": 0.74, "val_loss": 0.5020245909690857, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4988628178834915, "train_acc": 0.765, "val_loss": 0.469442218542099, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.4869520515203476, "train_acc": 0.76, "val_loss": 0.4461009204387665, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4584197700023651, "train_acc": 0.785, "val_loss": 0.42379286885261536, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.4381636828184128, "train_acc": 0.815, "val_loss": 0.38992583751678467, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.40197721123695374, "train_acc": 0.825, "val_loss": 0.3463713824748993, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.705742597579956, "final_val_loss": 0.6656816005706787, "initial_val_acc": 0.46, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.6372501850128174, "final_val_loss": 0.3463713824748993, "initial_val_acc": 0.68, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
52
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.88, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7048, "learning_rate": 0.04198946419763812, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.0.bias": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.830085, 19.359079, 22.130885, 22.135982, 153.684371], [33.657514, 38.613550, 40.655046, 41.168945, 202.897585], [19.721551, 20.896101, 20.967229, 26.032974, 185.955068], [19.462568, 19.770010, 24.382553, 27.325523, 27.488793], [33.083595, 34.823806, 35.208759, 36.607199, 195.423749]]
### 2
fourier: [[4.816314, 4.820874, 4.900212, 6.946396, 78.557477], [30.907864, 31.538348, 32.230687, 37.447608, 211.042104], [11.252315, 11.753894, 11.993568, 14.351449, 119.274751], [22.589707, 23.133481, 23.308611, 27.268232, 163.470736], [1.769583, 2.013921, 2.214721, 2.688928, 32.414392]]
### 4
fourier: [[34.626320, 34.648026, 35.443310, 41.905631, 247.413114], [14.517072, 15.895726, 16.629031, 17.524262, 19.596209], [34.112452, 34.627955, 36.454803, 42.455423, 330.346539], [7.294671, 7.515591, 7.847637, 8.935558, 18.868876], [38.678349, 38.715325, 40.133534, 47.568235, 276.777446]]
### 6
fourier: [[11.832585, 12.332941, 12.738318, 15.886544, 78.366142], [67.450248, 68.542939, 68.576319, 82.130404, 488.399641], [9.679717, 10.116323, 10.258789, 12.219886, 119.472977], [1.277434, 1.306243, 1.319083, 1.489553, 50.632005], [76.411414, 76.951877, 78.116833, 93.471581, 562.323685]]
### 8
fourier: [[124.194832, 124.728541, 128.808503, 149.972602, 768.384065]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
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[
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"network.2.bias": [
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}
## Activation Signature
### 0
fourier: [[18.830085, 19.359079, 22.130885, 22.135982, 153.684371], [33.657514, 38.613550, 40.655046, 41.168945, 202.897585], [19.721551, 20.896101, 20.967229, 26.032974, 185.955068], [19.462568, 19.770010, 24.382553, 27.325523, 27.488793], [33.083595, 34.823806, 35.208759, 36.607199, 195.423749]]
### 2
fourier: [[4.816314, 4.820874, 4.900212, 6.946396, 78.557477], [30.907864, 31.538348, 32.230687, 37.447608, 211.042104], [11.252315, 11.753894, 11.993568, 14.351449, 119.274751], [22.589707, 23.133481, 23.308611, 27.268232, 163.470736], [1.769583, 2.013921, 2.214721, 2.688928, 32.414392]]
### 4
fourier: [[34.626320, 34.648026, 35.443310, 41.905631, 247.413114], [14.517072, 15.895726, 16.629031, 17.524262, 19.596209], [34.112452, 34.627955, 36.454803, 42.455423, 330.346539], [7.294671, 7.515591, 7.847637, 8.935558, 18.868876], [38.678349, 38.715325, 40.133534, 47.568235, 276.777446]]
### 6
fourier: [[11.832585, 12.332941, 12.738318, 15.886544, 78.366142], [67.450248, 68.542939, 68.576319, 82.130404, 488.399641], [9.679717, 10.116323, 10.258789, 12.219886, 119.472977], [1.277434, 1.306243, 1.319083, 1.489553, 50.632005], [76.411414, 76.951877, 78.116833, 93.471581, 562.323685]]
### 8
fourier: [[124.194832, 124.728541, 128.808503, 149.972602, 768.384065]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6727138459682465, "train_acc": 0.59, "val_loss": 0.705595076084137, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6498412489891052, "train_acc": 0.59, "val_loss": 0.676525890827179, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5967642366886139, "train_acc": 0.59, "val_loss": 0.5791502594947815, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5208083987236023, "train_acc": 0.63, "val_loss": 0.4888113737106323, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4408852905035019, "train_acc": 0.855, "val_loss": 0.4277386963367462, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3871627002954483, "train_acc": 0.83, "val_loss": 0.4106651246547699, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3562481701374054, "train_acc": 0.835, "val_loss": 0.3594718873500824, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.33108991384506226, "train_acc": 0.86, "val_loss": 0.34609654545783997, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.30649399012327194, "train_acc": 0.88, "val_loss": 0.40483954548835754, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32026506960392, "train_acc": 0.875, "val_loss": 0.3630669116973877, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2952378988265991, "train_acc": 0.895, "val_loss": 0.35887038707733154, "val_acc": 0.86}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.705595076084137, "final_val_loss": 0.5791502594947815, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4888113737106323, "final_val_loss": 0.35887038707733154, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.42, "first_improvement_epoch": 2}}
|
53
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.76, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.06745739206568764, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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}
## Activation Signature
### 0
fourier: [[33.351896, 33.970053, 35.439981, 40.066373, 41.775069], [31.472122, 33.668827, 34.226236, 35.261668, 53.689048], [26.819869, 28.494318, 28.651434, 35.376331, 230.778799], [16.097103, 18.008236, 20.060469, 28.206687, 54.034441], [32.841369, 36.576876, 37.085696, 38.079149, 268.268428], [30.338746, 30.342581, 35.739159, 37.635418, 256.214450], [12.239167, 14.120527, 14.133271, 17.028052, 78.804890], [24.839823, 26.699996, 28.132378, 34.059021, 43.581417]]
### 2
fourier: [[23.494653, 23.613129, 23.962016, 27.682944, 265.507182], [14.178484, 14.454275, 15.196338, 18.903518, 80.631153], [13.943710, 14.220326, 14.249866, 18.951596, 52.915091], [16.095571, 18.237346, 20.956274, 26.064055, 54.826115], [11.483040, 11.758188, 13.100154, 18.614021, 41.152569], [13.508180, 14.914639, 15.034897, 16.920078, 177.001251], [11.550643, 14.241880, 14.263829, 16.652765, 147.885146], [20.070928, 20.305247, 21.156024, 21.231991, 127.055216]]
### 4
fourier: [[5.538349, 5.575326, 5.780506, 9.145763, 46.706158], [3.095353, 3.152041, 3.629385, 4.335477, 44.482350], [12.789611, 13.276902, 14.037030, 14.209204, 97.586122], [12.063098, 12.601236, 13.699375, 14.018703, 153.502274], [10.259888, 10.623525, 11.997337, 12.230131, 130.756018], [5.165333, 5.307630, 5.509997, 6.079703, 47.593623], [15.646013, 16.667870, 17.570798, 17.702586, 138.732044], [13.610174, 14.068230, 14.669056, 17.825258, 24.180642]]
### 6
fourier: [[6.975562, 7.110255, 7.213703, 8.585586, 71.757087], [1.090033, 1.120128, 1.211310, 1.377641, 22.539795], [7.499562, 8.050090, 8.207119, 8.718007, 57.728273], [5.696668, 6.014166, 6.408095, 8.099210, 21.867928], [9.213397, 9.586893, 10.174778, 12.434627, 59.330551], [1.197720, 1.202702, 1.322637, 1.582323, 13.391564], [18.589013, 18.971112, 19.290695, 22.970033, 116.031853], [5.252438, 5.339017, 5.660631, 6.003661, 7.599170]]
### 8
fourier: [[15.764159, 16.003708, 16.852787, 19.957877, 84.868083], [1.499655, 1.571994, 1.572229, 1.820414, 2.157296], [13.849553, 13.961745, 14.482513, 17.096540, 61.293480], [3.881142, 4.052130, 4.250352, 4.447075, 36.059157], [7.241335, 7.576935, 7.625506, 9.363077, 77.268309], [8.652908, 9.006306, 9.303478, 11.375655, 60.139660], [4.259465, 4.314909, 4.461043, 4.916480, 40.850277], [14.384865, 14.426077, 14.992907, 17.642262, 100.898073]]
### 10
fourier: [[13.792067, 13.893583, 14.430948, 16.948967, 99.729629], [4.065139, 4.085132, 4.099141, 4.763237, 31.008181], [2.291980, 2.314424, 2.352323, 2.652516, 27.659454], [5.033143, 5.153343, 5.537471, 6.619750, 7.786503], [6.803784, 6.970122, 7.119139, 7.501861, 8.890892], [1.692460, 1.725759, 1.820264, 2.139919, 31.925274], [8.089451, 8.148634, 8.493064, 10.032344, 35.189396], [11.696391, 11.785894, 12.298619, 14.516712, 47.611984]]
### 12
fourier: [[2.999134, 3.005182, 3.239531, 3.894705, 8.245265]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[33.351896, 33.970053, 35.439981, 40.066373, 41.775069], [31.472122, 33.668827, 34.226236, 35.261668, 53.689048], [26.819869, 28.494318, 28.651434, 35.376331, 230.778799], [16.097103, 18.008236, 20.060469, 28.206687, 54.034441], [32.841369, 36.576876, 37.085696, 38.079149, 268.268428], [30.338746, 30.342581, 35.739159, 37.635418, 256.214450], [12.239167, 14.120527, 14.133271, 17.028052, 78.804890], [24.839823, 26.699996, 28.132378, 34.059021, 43.581417]]
### 2
fourier: [[23.494653, 23.613129, 23.962016, 27.682944, 265.507182], [14.178484, 14.454275, 15.196338, 18.903518, 80.631153], [13.943710, 14.220326, 14.249866, 18.951596, 52.915091], [16.095571, 18.237346, 20.956274, 26.064055, 54.826115], [11.483040, 11.758188, 13.100154, 18.614021, 41.152569], [13.508180, 14.914639, 15.034897, 16.920078, 177.001251], [11.550643, 14.241880, 14.263829, 16.652765, 147.885146], [20.070928, 20.305247, 21.156024, 21.231991, 127.055216]]
### 4
fourier: [[5.538349, 5.575326, 5.780506, 9.145763, 46.706158], [3.095353, 3.152041, 3.629385, 4.335477, 44.482350], [12.789611, 13.276902, 14.037030, 14.209204, 97.586122], [12.063098, 12.601236, 13.699375, 14.018703, 153.502274], [10.259888, 10.623525, 11.997337, 12.230131, 130.756018], [5.165333, 5.307630, 5.509997, 6.079703, 47.593623], [15.646013, 16.667870, 17.570798, 17.702586, 138.732044], [13.610174, 14.068230, 14.669056, 17.825258, 24.180642]]
### 6
fourier: [[6.975562, 7.110255, 7.213703, 8.585586, 71.757087], [1.090033, 1.120128, 1.211310, 1.377641, 22.539795], [7.499562, 8.050090, 8.207119, 8.718007, 57.728273], [5.696668, 6.014166, 6.408095, 8.099210, 21.867928], [9.213397, 9.586893, 10.174778, 12.434627, 59.330551], [1.197720, 1.202702, 1.322637, 1.582323, 13.391564], [18.589013, 18.971112, 19.290695, 22.970033, 116.031853], [5.252438, 5.339017, 5.660631, 6.003661, 7.599170]]
### 8
fourier: [[15.764159, 16.003708, 16.852787, 19.957877, 84.868083], [1.499655, 1.571994, 1.572229, 1.820414, 2.157296], [13.849553, 13.961745, 14.482513, 17.096540, 61.293480], [3.881142, 4.052130, 4.250352, 4.447075, 36.059157], [7.241335, 7.576935, 7.625506, 9.363077, 77.268309], [8.652908, 9.006306, 9.303478, 11.375655, 60.139660], [4.259465, 4.314909, 4.461043, 4.916480, 40.850277], [14.384865, 14.426077, 14.992907, 17.642262, 100.898073]]
### 10
fourier: [[13.792067, 13.893583, 14.430948, 16.948967, 99.729629], [4.065139, 4.085132, 4.099141, 4.763237, 31.008181], [2.291980, 2.314424, 2.352323, 2.652516, 27.659454], [5.033143, 5.153343, 5.537471, 6.619750, 7.786503], [6.803784, 6.970122, 7.119139, 7.501861, 8.890892], [1.692460, 1.725759, 1.820264, 2.139919, 31.925274], [8.089451, 8.148634, 8.493064, 10.032344, 35.189396], [11.696391, 11.785894, 12.298619, 14.516712, 47.611984]]
### 12
fourier: [[2.999134, 3.005182, 3.239531, 3.894705, 8.245265]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6807601451873779, "train_acc": 0.575, "val_loss": 0.7482194304466248, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6847920417785645, "train_acc": 0.575, "val_loss": 0.6960969567298889, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7809063196182251, "train_acc": 0.505, "val_loss": 0.7308866381645203, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7009685337543488, "train_acc": 0.505, "val_loss": 0.6917961239814758, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6966330409049988, "train_acc": 0.525, "val_loss": 0.6912455558776855, "val_acc": 0.52}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6974825859069824, "train_acc": 0.495, "val_loss": 0.6832597255706787, "val_acc": 0.52}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6752592325210571, "train_acc": 0.575, "val_loss": 0.636073112487793, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6087071597576141, "train_acc": 0.685, "val_loss": 0.5611945986747742, "val_acc": 0.56}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5343951284885406, "train_acc": 0.655, "val_loss": 0.5109537243843079, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.49622346460819244, "train_acc": 0.74, "val_loss": 0.5034146904945374, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.49310870468616486, "train_acc": 0.74, "val_loss": 0.49591395258903503, "val_acc": 0.74}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.5001948773860931, "train_acc": 0.745, "val_loss": 0.48767372965812683, "val_acc": 0.76}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7482194304466248, "final_val_loss": 0.6960969567298889, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.7308866381645203, "final_val_loss": 0.48767372965812683, "initial_val_acc": 0.48, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 6}, "improvement": 0.28, "first_improvement_epoch": 1}}
|
54
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.039815314088510245, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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[
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[
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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[37.905288, 42.159324, 46.636135, 50.541838, 369.537172], [20.024545, 21.943592, 22.546103, 22.881204, 72.496800], [22.162654, 22.880090, 24.100915, 27.046986, 96.583783], [32.688556, 36.098659, 38.624699, 44.151625, 228.863375], [17.515856, 18.090868, 18.705981, 18.878230, 21.297251], [23.734663, 24.393842, 25.886629, 29.196084, 53.144531], [29.936172, 33.172804, 33.419913, 38.236122, 100.098997]]
### 2
fourier: [[30.211848, 30.357032, 30.442578, 30.656647, 74.341728], [10.213743, 11.519273, 11.863698, 13.009349, 46.849628], [14.888373, 15.856826, 16.556213, 18.336231, 149.295177], [10.804272, 10.816541, 10.860364, 11.913288, 22.483474], [4.992884, 5.128295, 5.711438, 6.237891, 44.216847], [11.433064, 11.479155, 12.077493, 12.091173, 55.223406], [30.836421, 31.012664, 34.916852, 37.983167, 270.040091]]
### 4
fourier: [[8.650931, 9.572615, 9.578268, 11.307716, 130.260843], [3.676143, 3.738629, 4.489883, 5.113506, 66.504616], [6.523014, 6.596686, 6.911478, 7.618663, 25.282322], [27.997772, 28.615233, 29.898881, 30.155424, 46.660067], [23.237863, 24.544537, 25.576618, 26.479295, 171.293926], [8.949398, 9.034619, 9.622080, 9.813083, 42.995644], [11.528108, 11.764390, 12.179188, 14.931079, 164.755835]]
### 6
fourier: [[7.156012, 7.734598, 8.287127, 9.379142, 82.813817], [8.734333, 9.252249, 10.472721, 11.680068, 79.162118], [21.372824, 22.296442, 23.488099, 24.209029, 77.417463], [11.613842, 11.926924, 13.611074, 15.168109, 165.385547], [5.145755, 5.385741, 6.100749, 6.528190, 26.080581], [10.894331, 11.479350, 12.246946, 14.913786, 127.036008], [9.077305, 9.487499, 10.110465, 10.488095, 80.481245]]
### 8
fourier: [[15.784400, 15.925208, 16.676048, 17.530293, 20.370987], [11.533317, 13.108663, 13.772597, 16.208296, 130.853703], [2.740626, 2.821055, 2.843551, 3.081712, 3.380369], [18.668037, 18.822464, 20.220074, 23.097950, 47.445199], [15.454891, 15.792428, 18.008510, 18.597254, 166.821354], [21.141264, 22.389317, 22.873274, 23.040634, 170.281607], [18.478799, 18.595955, 19.759497, 20.539209, 162.608160]]
### 10
fourier: [[32.882635, 34.148512, 34.926077, 35.164468, 219.941119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[37.905288, 42.159324, 46.636135, 50.541838, 369.537172], [20.024545, 21.943592, 22.546103, 22.881204, 72.496800], [22.162654, 22.880090, 24.100915, 27.046986, 96.583783], [32.688556, 36.098659, 38.624699, 44.151625, 228.863375], [17.515856, 18.090868, 18.705981, 18.878230, 21.297251], [23.734663, 24.393842, 25.886629, 29.196084, 53.144531], [29.936172, 33.172804, 33.419913, 38.236122, 100.098997]]
### 2
fourier: [[30.211848, 30.357032, 30.442578, 30.656647, 74.341728], [10.213743, 11.519273, 11.863698, 13.009349, 46.849628], [14.888373, 15.856826, 16.556213, 18.336231, 149.295177], [10.804272, 10.816541, 10.860364, 11.913288, 22.483474], [4.992884, 5.128295, 5.711438, 6.237891, 44.216847], [11.433064, 11.479155, 12.077493, 12.091173, 55.223406], [30.836421, 31.012664, 34.916852, 37.983167, 270.040091]]
### 4
fourier: [[8.650931, 9.572615, 9.578268, 11.307716, 130.260843], [3.676143, 3.738629, 4.489883, 5.113506, 66.504616], [6.523014, 6.596686, 6.911478, 7.618663, 25.282322], [27.997772, 28.615233, 29.898881, 30.155424, 46.660067], [23.237863, 24.544537, 25.576618, 26.479295, 171.293926], [8.949398, 9.034619, 9.622080, 9.813083, 42.995644], [11.528108, 11.764390, 12.179188, 14.931079, 164.755835]]
### 6
fourier: [[7.156012, 7.734598, 8.287127, 9.379142, 82.813817], [8.734333, 9.252249, 10.472721, 11.680068, 79.162118], [21.372824, 22.296442, 23.488099, 24.209029, 77.417463], [11.613842, 11.926924, 13.611074, 15.168109, 165.385547], [5.145755, 5.385741, 6.100749, 6.528190, 26.080581], [10.894331, 11.479350, 12.246946, 14.913786, 127.036008], [9.077305, 9.487499, 10.110465, 10.488095, 80.481245]]
### 8
fourier: [[15.784400, 15.925208, 16.676048, 17.530293, 20.370987], [11.533317, 13.108663, 13.772597, 16.208296, 130.853703], [2.740626, 2.821055, 2.843551, 3.081712, 3.380369], [18.668037, 18.822464, 20.220074, 23.097950, 47.445199], [15.454891, 15.792428, 18.008510, 18.597254, 166.821354], [21.141264, 22.389317, 22.873274, 23.040634, 170.281607], [18.478799, 18.595955, 19.759497, 20.539209, 162.608160]]
### 10
fourier: [[32.882635, 34.148512, 34.926077, 35.164468, 219.941119]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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[8.73433305027719, 9.252249054239266, 10.472720932116586, 11.680067744019597, 79.16211806982756]}, "2": {"fourier": [21.372824226141642, 22.296442154035585, 23.488098836665728, 24.209028948198913, 77.41746256500483]}, "3": {"fourier": [11.613842280681242, 11.926923518285529, 13.611073946614008, 15.168109347398657, 165.38554671406746]}, "4": {"fourier": [5.145754861111205, 5.385740754330431, 6.100748556159472, 6.528189860015723, 26.080580562353134]}, "5": {"fourier": [10.894330526559239, 11.479349842359898, 12.24694646243448, 14.913785624033777, 127.0360079407692]}, "6": {"fourier": [9.07730461438028, 9.487498543914516, 10.110464739136566, 10.488095191064076, 80.48124488443136]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [15.784400381162584, 15.925208200714277, 16.676048225780317, 17.530292985160298, 20.37098657693238]}, "1": {"fourier": [11.533316705751549, 13.108662941467035, 13.772597407784025, 16.208295535390043, 130.85370349884033]}, "2": {"fourier": [2.7406263301502896, 2.821055414081796, 2.843551420094046, 3.0817119513124487, 3.380369168271023]}, "3": {"fourier": [18.668036605950558, 18.82246422012073, 20.220073902077893, 23.09795032997567, 47.44519945979118]}, "4": {"fourier": [15.454891441671784, 15.79242789325332, 18.008510153983803, 18.597253795515428, 166.8213536441326]}, "5": {"fourier": [21.14126399282854, 22.389316755593992, 22.873274493601418, 23.04063429192074, 170.2816066890955]}, "6": {"fourier": [18.47879893902833, 18.59595450189996, 19.75949692535495, 20.539209151192544, 162.60816034674644]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [32.8826353260108, 34.14851192700114, 34.92607745753501, 35.164468343936896, 219.9411189481616]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.252991, 0.54947, 0.44716, 0.58845, 0.340586], [0.221108, 0.585907, 0.022262, -0.096014, -0.062994], [0.020072, -0.372406, 0.439115, 0.003841, 0.263567], [-0.607559, 0.095475, -0.600117, -0.324869, -0.174127], [-0.194741, 0.297824, -0.07816, -0.504698, 0.467788], [0.716739, 0.116874, -0.176083, 0.074058, 0.074554], [0.711662, 0.511279, 0.110251, -0.226103, -0.149024]], "network.0.bias": [0.173858, -0.300203, 0.476218, 0.204167, 0.342355, -0.397363, -0.266717], "network.2.weight": [[0.010803, 0.359769, -0.123435, 0.276261, -0.23239, 0.510027, 0.371265], [-0.168853, 0.276867, 0.140741, 0.152264, -0.099129, -0.428686, -0.003902], [0.306919, -0.222095, 0.319918, -0.117666, 0.287781, 0.100786, -0.364511], [-0.060353, 0.165328, 0.065057, 0.390935, 0.056549, -0.099359, -0.315984], [-0.18467, 0.26331, 0.124848, -0.046587, -0.06857, -0.161342, 0.107449], [0.002283, 0.086901, 0.006687, 0.472973, 0.091485, -0.222355, -0.239309], [0.506251, -0.027168, 0.199647, 0.205945, -0.294397, -0.014274, 0.473848]], "network.2.bias": [-0.131151, 0.14097, 0.535628, 0.245602, -0.082767, -0.262835, 0.271001], "network.4.weight": [[-0.151456, -0.41792, 0.045785, -0.013463, -0.419008, -0.099871, 0.354618], [-0.107203, -0.068265, -0.182541, 0.23515, 0.597942, 0.09243, -0.00841], [-0.032236, -0.565625, 0.256089, 0.192271, -0.433687, -0.096187, -0.139286], [0.431166, 0.435128, -0.548574, 0.244983, -0.030186, 0.382202, 0.464536], [0.50581, -0.018914, 0.015775, 0.389578, -0.614116, -0.478623, 0.341812], [-0.467951, -0.012526, -0.164755, -0.570587, -0.027217, -0.295609, 0.117667], [-0.221691, -0.530057, 0.491632, -0.437579, -0.172307, -0.558652, 0.187904]], "network.4.bias": [0.374151, -0.251111, 0.210603, -0.323399, 0.270124, -0.156342, 0.591414], "network.6.weight": [[0.214803, -0.06361, -0.05442, 0.060239, 0.118567, -0.364549, 0.318065], [0.115813, 0.112947, 0.145999, -0.3734, 0.207253, 0.024178, 0.367452], [0.229564, -0.364853, -0.301239, 0.378292, 0.401697, 0.386756, -0.160258], [0.571269, -0.092949, 0.354241, -0.080396, -0.213263, 0.031671, 0.515969], [0.205385, -0.258911, -0.207423, -0.275949, -0.006455, 0.030545, -0.005782], [0.31622, -0.446643, -0.373619, -0.443008, 0.164509, -0.673549, 0.480733], [-0.133354, -0.474032, 0.325703, -0.490016, 0.36485, -0.013076, 0.308567]], "network.6.bias": [-0.218194, -0.037146, -0.122499, 0.513467, 0.248176, 0.121847, 0.07792], "network.8.weight": [[0.187923, -0.177449, 0.522445, 0.30349, -0.535439, -0.390725, -0.419133], [0.294718, 0.276632, 0.075255, 0.172209, 0.383798, 0.521598, 0.065266], [0.031983, 0.129679, -0.138076, -0.031231, -0.006128, 0.003651, -0.058304], [0.111406, -0.031469, 0.584678, -0.219618, -0.507894, -0.31614, -0.104728], [-0.16938, 0.11103, -0.040679, 0.417386, 0.262743, 0.397602, 0.439685], [0.13334, 0.18325, -0.360145, 0.405374, 0.39288, 0.309308, 0.435027], [0.413163, 0.211197, -0.437202, 0.122297, -0.1087, 0.564028, 0.155008]], "network.8.bias": [-0.099354, -0.190009, 0.06318, -0.069334, 0.261504, 0.381925, 0.613583], "network.10.weight": [[0.264448, -0.115005, 0.024273, 0.498343, -0.267184, -0.602676, -0.39619]], "network.10.bias": [-0.107459]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840048432350159, "train_acc": 0.59, "val_loss": 0.7063709497451782, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654735803604126, "train_acc": 0.59, "val_loss": 0.5990546941757202, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5230997651815414, "train_acc": 0.795, "val_loss": 0.3946112394332886, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.41805118322372437, "train_acc": 0.83, "val_loss": 0.18139797449111938, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2980683371424675, "train_acc": 0.845, "val_loss": 0.13532096147537231, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25990065932273865, "train_acc": 0.89, "val_loss": 0.106722891330719, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24606262147426605, "train_acc": 0.9, "val_loss": 0.0931302160024643, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24751931428909302, "train_acc": 0.895, "val_loss": 0.08924634009599686, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2267690971493721, "train_acc": 0.9, "val_loss": 0.0861828625202179, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21107633411884308, "train_acc": 0.915, "val_loss": 0.10162428021430969, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21474173665046692, "train_acc": 0.92, "val_loss": 0.09270124137401581, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.21163608878850937, "train_acc": 0.92, "val_loss": 0.07389599829912186, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7063709497451782, "final_val_loss": 0.5990546941757202, "initial_val_acc": 0.44, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.3946112394332886, "final_val_loss": 0.07389599829912186, "initial_val_acc": 0.82, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
55
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1250, "learning_rate": 0.054650206537940234, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "increasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["increasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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-1.428886,
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[
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0.006572,
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],
[
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],
[
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],
[
1.263547,
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]
],
"network.0.bias": [
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"network.2.weight": [
[
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],
[
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0.098404,
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],
[
-0.255985,
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],
[
0.647047,
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],
[
-0.648412,
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]
],
"network.2.bias": [
-0.396273,
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],
"network.4.weight": [
[
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],
[
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],
[
0.297861,
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1.032328
],
[
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[
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],
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],
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[51.972354, 53.709763, 55.099793, 57.175072, 68.149624], [46.042067, 48.587960, 48.675165, 55.616155, 282.193329], [50.207899, 53.760614, 55.313868, 56.388822, 276.577643], [18.029942, 18.854821, 19.514979, 24.759887, 152.995994], [56.445975, 57.078193, 57.987375, 61.499075, 328.665211]]
### 2
fourier: [[24.572795, 26.542668, 26.969609, 29.662592, 203.004054], [42.280404, 45.299193, 45.644145, 50.236321, 330.840067], [26.984697, 26.985134, 30.247504, 32.340324, 240.589840], [34.543825, 37.267434, 38.485403, 53.835554, 76.315680], [76.571059, 76.645264, 84.265724, 97.756995, 386.205172]]
### 4
fourier: [[18.166011, 18.560907, 20.203202, 23.137165, 123.668948], [6.150641, 7.410694, 7.459971, 7.698425, 73.161758], [80.681756, 82.070941, 90.030661, 104.668760, 424.927387], [24.371996, 26.001268, 28.064915, 37.146254, 38.595139], [50.922620, 52.701731, 56.086975, 61.397295, 282.290382]]
### 6
fourier: [[29.861610, 30.415661, 30.847835, 31.000467, 195.042676], [7.812799, 8.254655, 8.860531, 9.763889, 82.171203], [30.993321, 32.721808, 35.043577, 38.935449, 133.992188], [121.422639, 128.617247, 138.263395, 154.656460, 658.735849], [6.235528, 6.548645, 7.093412, 7.140791, 74.355619]]
### 8
fourier: [[45.056914, 47.293017, 49.517078, 52.724560, 272.970570], [7.209534, 7.857956, 8.307627, 8.946784, 85.024321], [117.989200, 128.104898, 135.308102, 145.556333, 644.505730], [35.946186, 38.241780, 40.184456, 42.967345, 239.185629], [123.971669, 134.449228, 141.970001, 152.673176, 682.500595]]
### 10
fourier: [[156.384140, 167.273664, 175.688868, 188.654997, 796.717642]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
increasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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[
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[
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"network.2.weight": [
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[
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[
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"network.2.bias": [
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[
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[
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"network.10.weight": [
[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[51.972354, 53.709763, 55.099793, 57.175072, 68.149624], [46.042067, 48.587960, 48.675165, 55.616155, 282.193329], [50.207899, 53.760614, 55.313868, 56.388822, 276.577643], [18.029942, 18.854821, 19.514979, 24.759887, 152.995994], [56.445975, 57.078193, 57.987375, 61.499075, 328.665211]]
### 2
fourier: [[24.572795, 26.542668, 26.969609, 29.662592, 203.004054], [42.280404, 45.299193, 45.644145, 50.236321, 330.840067], [26.984697, 26.985134, 30.247504, 32.340324, 240.589840], [34.543825, 37.267434, 38.485403, 53.835554, 76.315680], [76.571059, 76.645264, 84.265724, 97.756995, 386.205172]]
### 4
fourier: [[18.166011, 18.560907, 20.203202, 23.137165, 123.668948], [6.150641, 7.410694, 7.459971, 7.698425, 73.161758], [80.681756, 82.070941, 90.030661, 104.668760, 424.927387], [24.371996, 26.001268, 28.064915, 37.146254, 38.595139], [50.922620, 52.701731, 56.086975, 61.397295, 282.290382]]
### 6
fourier: [[29.861610, 30.415661, 30.847835, 31.000467, 195.042676], [7.812799, 8.254655, 8.860531, 9.763889, 82.171203], [30.993321, 32.721808, 35.043577, 38.935449, 133.992188], [121.422639, 128.617247, 138.263395, 154.656460, 658.735849], [6.235528, 6.548645, 7.093412, 7.140791, 74.355619]]
### 8
fourier: [[45.056914, 47.293017, 49.517078, 52.724560, 272.970570], [7.209534, 7.857956, 8.307627, 8.946784, 85.024321], [117.989200, 128.104898, 135.308102, 145.556333, 644.505730], [35.946186, 38.241780, 40.184456, 42.967345, 239.185629], [123.971669, 134.449228, 141.970001, 152.673176, 682.500595]]
### 10
fourier: [[156.384140, 167.273664, 175.688868, 188.654997, 796.717642]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
increasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.428886, -0.221675, -0.075941, 0.391732, 0.865893], [0.988304, 0.820284, 0.049093, 0.006572, 0.236413], [0.872617, 0.636971, 0.66727, 0.029983, -0.471006], [-0.002186, -0.227614, -0.51927, -0.064557, -0.017028], [1.263547, 0.519369, 0.33137, 0.146249, 0.046469]], "network.0.bias": [0.429311, 0.002634, -0.050785, -0.038333, 0.069886], "network.2.weight": [[-0.131963, -0.092834, 0.027991, 0.050634, -0.410087], [-0.300634, -0.424816, 0.098404, -0.14586, -0.49048], [-0.255985, 0.22719, -0.497382, 0.230305, -0.294834], [0.647047, -0.334948, -0.240147, -0.29908, -0.017264], [-0.648412, 0.641181, 0.588952, 0.087761, 0.243753]], "network.2.bias": [-0.396273, -0.501347, -0.427524, 0.244123, 0.310622], "network.4.weight": [[-0.065375, -0.123496, 0.17113, 0.119361, -0.233584], [-0.089483, 0.311284, -0.059541, -0.290253, -0.092015], [0.297861, 0.227829, 0.229019, -0.647537, 1.032328], [0.264929, -0.106503, 0.044911, 0.53803, -0.296535], [-0.152481, -0.562529, -0.184258, -0.122203, 0.663918]], "network.4.bias": [-0.396614, -0.259165, 0.461438, 0.618774, 0.249685], "network.6.weight": [[0.151877, -0.128109, -0.275028, -0.564824, -0.181711], [-0.097168, -0.050539, 0.142074, 0.03896, -0.378356], [-0.065723, 0.260598, -0.210481, 0.167454, -0.271511], [0.01814, -0.352103, 1.150507, -0.823624, 0.543006], [-0.049795, -0.069921, -0.173712, -0.416044, 0.129959]], "network.6.bias": [0.000135, -0.43058, 0.31448, 0.385049, -0.200279], "network.8.weight": [[0.441881, -0.035055, -0.362642, -0.367282, -0.148325], [0.072526, -0.246139, 0.056019, -0.059778, 0.149073], [0.511792, -0.034271, -0.723318, 0.976607, -0.441328], [-0.390995, 0.429394, -0.087579, -0.294809, -0.234511], [-0.038699, 0.078757, -0.701046, 1.025606, -0.41718]], "network.8.bias": [-0.241859, -0.504694, -0.051333, -0.442451, 0.001706], "network.10.weight": [[-0.038997, 0.272127, -0.626211, 0.193993, -0.656854]], "network.10.bias": [0.729065]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7019431293010712, "train_acc": 0.42, "val_loss": 0.6993151903152466, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.680853545665741, "train_acc": 0.575, "val_loss": 0.711915910243988, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6514503359794617, "train_acc": 0.575, "val_loss": 0.6695543527603149, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6191770732402802, "train_acc": 0.575, "val_loss": 0.6063072085380554, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6121890246868134, "train_acc": 0.505, "val_loss": 0.5426199436187744, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5059414952993393, "train_acc": 0.845, "val_loss": 0.5234233736991882, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4932287037372589, "train_acc": 0.825, "val_loss": 0.48741936683654785, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.44151249527931213, "train_acc": 0.825, "val_loss": 0.4620520770549774, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.43509647250175476, "train_acc": 0.82, "val_loss": 0.4384831190109253, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4171719253063202, "train_acc": 0.825, "val_loss": 0.4650140404701233, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.42180734872817993, "train_acc": 0.81, "val_loss": 0.4606819152832031, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.41206537187099457, "train_acc": 0.825, "val_loss": 0.4111184775829315, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.39142146706581116, "train_acc": 0.84, "val_loss": 0.4126833975315094, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3908916264772415, "train_acc": 0.845, "val_loss": 0.41363662481307983, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6993151903152466, "final_val_loss": 0.6063072085380554, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5426199436187744, "final_val_loss": 0.41363662481307983, "initial_val_acc": 0.76, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 11}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
56
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9339, "learning_rate": 0.028907412749536947, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[26.977209, 26.985403, 28.884449, 31.236326, 75.662257], [23.740195, 24.717084, 33.461959, 34.050378, 51.721923], [21.806784, 22.679228, 24.621506, 26.466373, 29.082502], [22.514770, 23.726765, 23.982845, 31.821182, 38.607880], [31.111134, 32.021170, 32.260284, 41.835082, 185.569953], [10.972044, 12.239026, 12.420510, 13.102497, 59.346868]]
### 2
fourier: [[32.321372, 34.150240, 34.238541, 36.404151, 239.079220], [24.063535, 25.275620, 28.200183, 29.069018, 231.826572], [39.222381, 39.864589, 45.724633, 45.886482, 304.663014], [8.378347, 9.283552, 9.853297, 10.452959, 11.857233], [12.770822, 13.339393, 13.555109, 14.811328, 17.102411], [21.918653, 22.127206, 23.674660, 24.638620, 128.097212]]
### 4
fourier: [[39.864857, 43.419251, 45.251170, 48.971652, 247.095064], [45.155236, 49.562317, 49.639181, 55.548422, 311.628552], [21.885119, 23.577980, 25.821804, 29.157196, 46.033425], [9.360938, 9.975597, 10.212474, 10.272521, 11.813090], [12.296343, 13.553617, 13.698665, 15.725221, 17.642741], [5.228568, 5.465501, 6.381716, 8.181990, 73.055043]]
### 6
fourier: [[43.542569, 44.331566, 49.169468, 53.761121, 117.302127], [40.877648, 41.852195, 47.047587, 50.788138, 109.555169], [40.530704, 44.238513, 47.437333, 52.060609, 274.285302], [48.243755, 50.910933, 53.290799, 59.559053, 262.565108], [31.789849, 32.134383, 37.296864, 39.470216, 81.318216], [52.213959, 54.837804, 57.702370, 64.392641, 309.909748]]
### 8
fourier: [[69.135149, 69.511809, 76.157944, 85.565674, 183.160712], [32.226753, 32.778939, 36.295642, 40.151364, 87.245796], [69.236449, 69.555785, 76.368039, 85.650060, 175.850386], [88.211795, 92.958847, 101.342677, 112.718765, 429.213140], [57.558155, 57.690916, 63.323034, 70.978927, 194.664803], [79.004478, 80.907342, 88.861693, 99.043121, 355.261938]]
### 10
fourier: [[79.139478, 85.236024, 91.226599, 103.891128, 405.301654], [55.472735, 58.667127, 62.990927, 72.316802, 259.973383], [78.577128, 78.771297, 85.395378, 97.715553, 173.777231], [128.472987, 141.984638, 149.974946, 171.456468, 742.698071], [109.986172, 117.957617, 125.884633, 144.159070, 573.185257], [65.564170, 70.056373, 74.804042, 85.709722, 329.942219]]
### 12
fourier: [[239.570542, 270.516204, 282.585141, 327.022022, 1446.268495]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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],
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[
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.977209, 26.985403, 28.884449, 31.236326, 75.662257], [23.740195, 24.717084, 33.461959, 34.050378, 51.721923], [21.806784, 22.679228, 24.621506, 26.466373, 29.082502], [22.514770, 23.726765, 23.982845, 31.821182, 38.607880], [31.111134, 32.021170, 32.260284, 41.835082, 185.569953], [10.972044, 12.239026, 12.420510, 13.102497, 59.346868]]
### 2
fourier: [[32.321372, 34.150240, 34.238541, 36.404151, 239.079220], [24.063535, 25.275620, 28.200183, 29.069018, 231.826572], [39.222381, 39.864589, 45.724633, 45.886482, 304.663014], [8.378347, 9.283552, 9.853297, 10.452959, 11.857233], [12.770822, 13.339393, 13.555109, 14.811328, 17.102411], [21.918653, 22.127206, 23.674660, 24.638620, 128.097212]]
### 4
fourier: [[39.864857, 43.419251, 45.251170, 48.971652, 247.095064], [45.155236, 49.562317, 49.639181, 55.548422, 311.628552], [21.885119, 23.577980, 25.821804, 29.157196, 46.033425], [9.360938, 9.975597, 10.212474, 10.272521, 11.813090], [12.296343, 13.553617, 13.698665, 15.725221, 17.642741], [5.228568, 5.465501, 6.381716, 8.181990, 73.055043]]
### 6
fourier: [[43.542569, 44.331566, 49.169468, 53.761121, 117.302127], [40.877648, 41.852195, 47.047587, 50.788138, 109.555169], [40.530704, 44.238513, 47.437333, 52.060609, 274.285302], [48.243755, 50.910933, 53.290799, 59.559053, 262.565108], [31.789849, 32.134383, 37.296864, 39.470216, 81.318216], [52.213959, 54.837804, 57.702370, 64.392641, 309.909748]]
### 8
fourier: [[69.135149, 69.511809, 76.157944, 85.565674, 183.160712], [32.226753, 32.778939, 36.295642, 40.151364, 87.245796], [69.236449, 69.555785, 76.368039, 85.650060, 175.850386], [88.211795, 92.958847, 101.342677, 112.718765, 429.213140], [57.558155, 57.690916, 63.323034, 70.978927, 194.664803], [79.004478, 80.907342, 88.861693, 99.043121, 355.261938]]
### 10
fourier: [[79.139478, 85.236024, 91.226599, 103.891128, 405.301654], [55.472735, 58.667127, 62.990927, 72.316802, 259.973383], [78.577128, 78.771297, 85.395378, 97.715553, 173.777231], [128.472987, 141.984638, 149.974946, 171.456468, 742.698071], [109.986172, 117.957617, 125.884633, 144.159070, 573.185257], [65.564170, 70.056373, 74.804042, 85.709722, 329.942219]]
### 12
fourier: [[239.570542, 270.516204, 282.585141, 327.022022, 1446.268495]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.977209445629192, 26.98540343705481, 28.884449416890025, 31.236325616758382, 75.66225698590279]}, "1": {"fourier": [23.740195098041834, 24.717084453410145, 33.46195890079212, 34.050377751951075, 51.72192260622978]}, "2": {"fourier": [21.806783727344257, 22.679227958640247, 24.621506452560425, 26.466372578977634, 29.082502381869663]}, "3": {"fourier": [22.51476996479873, 23.726764814127772, 23.982844612562353, 31.821181908891987, 38.60787984728813]}, "4": {"fourier": [31.111134322602677, 32.02117006297986, 32.260284181887904, 41.835081767512236, 185.56995267421007]}, "5": {"fourier": [10.972043689372406, 12.239025697844685, 12.42051041092201, 13.102496935732654, 59.346867989748716]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [32.321371558381664, 34.15024033757018, 34.238540776031336, 36.404150775625276, 239.07922014594078]}, "1": 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{"fourier": [31.789849140063527, 32.134383314675354, 37.29686415513101, 39.47021573354559, 81.31821593642235]}, "5": {"fourier": [52.213958615394546, 54.83780432320444, 57.702369753439605, 64.39264069622865, 309.9097476005554]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [69.135148709826, 69.51180857403816, 76.15794354514352, 85.56567443845019, 183.1607122272253]}, "1": {"fourier": [32.22675275385491, 32.77893911818805, 36.2956424422914, 40.15136355276909, 87.24579614400864]}, "2": {"fourier": [69.23644868293523, 69.55578512380514, 76.36803864294903, 85.650059792235, 175.85038605332375]}, "3": {"fourier": [88.21179519864972, 92.95884671504751, 101.34267664761693, 112.71876523407585, 429.21314035356045]}, "4": {"fourier": [57.558155499866785, 57.6909164086792, 63.323033976020625, 70.97892698158905, 194.66480261087418]}, "5": {"fourier": [79.00447790031885, 80.90734249451991, 88.86169297903076, 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[239.57054243485175, 270.516204149028, 282.58514113728273, 327.0220215328466, 1446.2684947252274]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.64327, -0.217241, 0.308803, 0.460056, -0.256247], [-0.667697, 0.166605, -0.1944, 0.314014, 0.183673], [-0.120166, -0.035569, -0.479498, 0.491583, 0.053692], [-0.524554, 0.010963, 0.447806, -0.217295, 0.520245], [-0.71622, 0.304859, 0.241854, 0.683226, 0.277195], [-0.212625, -0.200153, -0.088905, 0.04554, 0.095505]], "network.0.bias": [0.721486, 0.608173, 0.369153, -0.0493, 0.085441, -0.059821], "network.2.weight": [[0.585442, 0.562829, 0.610555, 0.281579, 0.285958, -0.560805], [-0.673045, -0.614127, -0.102816, 0.071971, -0.204935, 0.144619], [0.381, 0.340725, 0.260241, 0.695011, 0.769728, -0.098583], [-0.501499, -0.543215, -0.305391, -0.026135, 0.433334, 0.497339], [-0.533905, -0.089896, -0.685724, -0.156738, 0.202421, 0.612842], [-0.091062, -0.312182, -0.368067, 0.544653, -0.384234, -0.299646]], "network.2.bias": [0.212369, -0.766556, 0.285647, 0.291676, 0.657155, -0.377712], "network.4.weight": [[0.530588, 0.361388, 0.501814, -0.605403, -0.559201, 0.126234], [0.37285, -0.216083, 0.779657, -0.673163, -0.379788, 0.330853], [-0.135037, -0.331546, -0.338659, 0.651562, 0.75589, -0.589779], [-0.325431, -0.409444, 0.170973, 0.853514, 0.100113, -0.623545], [-0.500799, -0.339772, 0.177721, -0.000501, 0.655581, -0.585647], [0.210344, 0.005051, -0.283033, -0.298999, -0.082334, 0.353126]], "network.4.bias": [-0.144352, 0.004103, 0.758815, 0.265075, 0.378805, -0.362609], "network.6.weight": [[-0.446765, -0.340112, 0.698552, 0.581991, 0.486369, -0.621115], [-0.663088, -0.121706, 0.594361, 0.571536, 0.493886, -0.657264], [0.494698, 0.421708, -0.27315, -0.49454, 0.1473, 0.103105], [0.197973, 0.735838, -0.440291, -0.19406, -0.56364, -0.132599], [-0.497133, -0.060061, 0.379825, 0.751997, 0.69625, 0.186935], [0.187249, 0.812464, -0.44977, -0.256231, -0.669237, 0.026856]], "network.6.bias": [0.617502, 0.5774, 0.396087, 0.066697, 0.34363, 0.412562], "network.8.weight": [[0.646818, 0.659186, -0.083128, -0.304342, 0.323009, -0.609151], [-0.258296, -0.202393, 0.176219, 0.380534, -0.677297, -0.115048], [0.859326, 0.432256, -0.195767, -0.642893, 0.438074, -0.187723], [-0.474352, -0.123711, 0.607121, 0.583637, -0.657744, 0.479123], [-0.714989, -0.363154, 0.325151, 0.170554, -0.395582, 0.333881], [-0.443066, -0.625946, 0.676591, 0.294327, -0.542504, 0.3562]], "network.8.bias": [0.396059, 0.247707, 0.315084, 0.084322, 0.284578, 0.59261], "network.10.weight": [[-0.220701, -0.492519, -0.317457, 0.699756, 0.521828, 0.075972], [-0.045039, -0.658167, -0.398636, 0.070012, 0.547499, 0.504688], [0.612137, -0.453927, 0.494754, -0.15863, -0.359835, -0.23247], [-0.439665, 0.334343, -0.17844, 0.635399, 0.609094, 0.6263], [-0.283207, 0.030506, -0.518034, 0.318412, 0.675134, 0.655681], [-0.145881, 0.147496, -0.352903, 0.135301, 0.331714, 0.447603]], "network.10.bias": [0.170594, 0.034204, 0.50528, 0.371115, 0.50602, 0.243566], "network.12.weight": [[-0.505761, -0.505145, 0.577072, -0.617417, -0.678446, -0.603746]], "network.12.bias": [-0.013796]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811582744121552, "train_acc": 0.585, "val_loss": 0.7202267646789551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784856915473938, "train_acc": 0.585, "val_loss": 0.708085298538208, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6673920154571533, "train_acc": 0.585, "val_loss": 0.6851905584335327, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6410943567752838, "train_acc": 0.585, "val_loss": 0.6306430697441101, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5623405277729034, "train_acc": 0.605, "val_loss": 0.4578874111175537, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4046425223350525, "train_acc": 0.9, "val_loss": 0.3423808813095093, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.303528755903244, "train_acc": 0.915, "val_loss": 0.2705553472042084, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.2386137619614601, "train_acc": 0.93, "val_loss": 0.18174074590206146, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.1765403375029564, "train_acc": 0.95, "val_loss": 0.11558714509010315, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.13227872550487518, "train_acc": 0.955, "val_loss": 0.08404507488012314, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.15543559938669205, "train_acc": 0.955, "val_loss": 0.08506910502910614, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.15320871397852898, "train_acc": 0.955, "val_loss": 0.08800986409187317, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.20010209828615189, "train_acc": 0.955, "val_loss": 0.08643825352191925, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7202267646789551, "final_val_loss": 0.6306430697441101, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4578874111175537, "final_val_loss": 0.08643825352191925, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 9}, "improvement": 0.54, "first_improvement_epoch": 3}}
|
57
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.82, "improvement": 0.35999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6958, "learning_rate": 0.08815082734579661, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.120543,
0.348948,
0.155662,
-0.01776,
-0.066394
]
],
"network.10.bias": [
0.338798
]
}
## Activation Signature
### 0
fourier: [[30.863443, 31.593930, 33.707095, 35.281255, 47.918882], [26.529623, 29.224951, 30.565379, 32.009338, 38.376557], [28.359709, 28.890698, 36.160628, 38.446273, 285.160211], [27.739088, 28.472508, 30.999982, 39.321719, 63.905630], [27.238690, 28.785380, 29.466178, 29.744797, 35.686859], [22.109169, 23.136126, 24.378771, 24.555727, 45.349533], [31.254367, 36.975544, 37.879686, 49.196586, 128.336297], [24.698269, 24.876934, 26.364178, 26.516246, 28.274746]]
### 2
fourier: [[18.755877, 20.258760, 20.439002, 23.736369, 91.107862], [42.549007, 47.731419, 52.722340, 53.275477, 152.790862], [39.093073, 39.373023, 41.012362, 57.339023, 110.668568], [49.321895, 49.789070, 52.743732, 59.958352, 277.750171], [24.347789, 24.468172, 24.480519, 24.714765, 149.012864], [13.152119, 13.561884, 14.961711, 16.155926, 17.527319], [22.235902, 22.796328, 25.312396, 25.532813, 28.010234], [7.849259, 8.214390, 8.364257, 8.688118, 90.583066]]
### 4
fourier: [[44.411634, 50.691940, 51.347034, 55.949145, 65.544736], [13.502289, 14.527136, 14.536898, 16.038354, 84.956935], [24.005032, 25.449761, 26.135294, 27.306950, 32.275219], [17.534238, 20.076044, 21.455992, 21.707983, 23.938670], [45.417254, 52.455049, 54.123496, 54.951427, 87.642503], [30.382032, 32.074646, 34.018615, 39.740661, 93.811274], [14.131714, 15.109609, 16.746996, 17.195617, 143.837926], [24.916943, 25.712256, 26.768151, 30.107204, 36.295540]]
### 6
fourier: [[15.715206, 15.730888, 16.316784, 19.161046, 53.154112], [59.177515, 69.099463, 71.743793, 72.115705, 99.151707], [27.175643, 29.164897, 32.525837, 35.715613, 36.849908], [35.855117, 41.733481, 42.051334, 44.096481, 45.344920], [36.350868, 42.331576, 42.688396, 46.695816, 57.181090], [20.168229, 21.436423, 22.231768, 26.479923, 141.511610], [47.110298, 52.884537, 54.856857, 59.958968, 114.168239], [3.840875, 3.964717, 4.005277, 4.280314, 78.381756]]
### 8
fourier: [[6.023312, 7.006492, 8.151403, 8.524253, 58.815642], [34.815293, 35.388170, 35.947347, 41.776981, 196.203060], [72.481220, 83.802706, 85.100683, 86.820279, 127.465373], [11.998270, 12.041020, 13.030009, 14.456801, 108.761515], [54.129017, 56.431447, 67.519117, 68.039742, 68.216809], [17.763792, 17.782783, 18.996171, 20.738976, 115.348445], [34.819573, 36.059922, 42.845199, 42.847324, 44.066242], [10.295316, 10.310255, 11.267200, 13.084530, 55.506206]]
### 10
fourier: [[43.694602, 49.720953, 51.570013, 52.870748, 59.059800]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[30.863443, 31.593930, 33.707095, 35.281255, 47.918882], [26.529623, 29.224951, 30.565379, 32.009338, 38.376557], [28.359709, 28.890698, 36.160628, 38.446273, 285.160211], [27.739088, 28.472508, 30.999982, 39.321719, 63.905630], [27.238690, 28.785380, 29.466178, 29.744797, 35.686859], [22.109169, 23.136126, 24.378771, 24.555727, 45.349533], [31.254367, 36.975544, 37.879686, 49.196586, 128.336297], [24.698269, 24.876934, 26.364178, 26.516246, 28.274746]]
### 2
fourier: [[18.755877, 20.258760, 20.439002, 23.736369, 91.107862], [42.549007, 47.731419, 52.722340, 53.275477, 152.790862], [39.093073, 39.373023, 41.012362, 57.339023, 110.668568], [49.321895, 49.789070, 52.743732, 59.958352, 277.750171], [24.347789, 24.468172, 24.480519, 24.714765, 149.012864], [13.152119, 13.561884, 14.961711, 16.155926, 17.527319], [22.235902, 22.796328, 25.312396, 25.532813, 28.010234], [7.849259, 8.214390, 8.364257, 8.688118, 90.583066]]
### 4
fourier: [[44.411634, 50.691940, 51.347034, 55.949145, 65.544736], [13.502289, 14.527136, 14.536898, 16.038354, 84.956935], [24.005032, 25.449761, 26.135294, 27.306950, 32.275219], [17.534238, 20.076044, 21.455992, 21.707983, 23.938670], [45.417254, 52.455049, 54.123496, 54.951427, 87.642503], [30.382032, 32.074646, 34.018615, 39.740661, 93.811274], [14.131714, 15.109609, 16.746996, 17.195617, 143.837926], [24.916943, 25.712256, 26.768151, 30.107204, 36.295540]]
### 6
fourier: [[15.715206, 15.730888, 16.316784, 19.161046, 53.154112], [59.177515, 69.099463, 71.743793, 72.115705, 99.151707], [27.175643, 29.164897, 32.525837, 35.715613, 36.849908], [35.855117, 41.733481, 42.051334, 44.096481, 45.344920], [36.350868, 42.331576, 42.688396, 46.695816, 57.181090], [20.168229, 21.436423, 22.231768, 26.479923, 141.511610], [47.110298, 52.884537, 54.856857, 59.958968, 114.168239], [3.840875, 3.964717, 4.005277, 4.280314, 78.381756]]
### 8
fourier: [[6.023312, 7.006492, 8.151403, 8.524253, 58.815642], [34.815293, 35.388170, 35.947347, 41.776981, 196.203060], [72.481220, 83.802706, 85.100683, 86.820279, 127.465373], [11.998270, 12.041020, 13.030009, 14.456801, 108.761515], [54.129017, 56.431447, 67.519117, 68.039742, 68.216809], [17.763792, 17.782783, 18.996171, 20.738976, 115.348445], [34.819573, 36.059922, 42.845199, 42.847324, 44.066242], [10.295316, 10.310255, 11.267200, 13.084530, 55.506206]]
### 10
fourier: [[43.694602, 49.720953, 51.570013, 52.870748, 59.059800]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.863443484188316, 31.59392995304473, 33.70709548358122, 35.28125509435573, 47.91888217335043]}, "1": {"fourier": [26.529623364008884, 29.224951329459373, 30.565379099711716, 32.00933786417841, 38.37655708032969]}, "2": {"fourier": [28.359708929377025, 28.89069789368998, 36.16062765583894, 38.44627275314237, 285.16021090745926]}, "3": {"fourier": [27.739088151238974, 28.47250792442278, 30.999982106819036, 39.32171924927062, 63.90562954545021]}, "4": {"fourier": [27.238689694747446, 28.785380417348968, 29.466177692087086, 29.744797370455526, 35.68685852204679]}, "5": {"fourier": [22.10916941211271, 23.136125844168106, 24.37877075398166, 24.55572688010036, 45.349533066153526]}, "6": {"fourier": [31.254367143152937, 36.97554388834711, 37.879685561565125, 49.19658611625865, 128.33629673719406]}, "7": {"fourier": [24.698269153394264, 24.876933869777858, 26.364177618297816, 26.51624558501188, 28.27474551230156]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [18.755876755504566, 20.25876030570387, 20.439002059068926, 23.736369415091787, 91.10786229372025]}, "1": {"fourier": [42.549006957477424, 47.731418635306184, 52.72233974219877, 53.27547731204019, 152.79086177051067]}, "2": {"fourier": [39.09307343841133, 39.37302279098494, 41.01236155752829, 57.339022751240904, 110.6685681194067]}, "3": {"fourier": [49.321895395554016, 49.78907013907873, 52.74373227021195, 59.95835160338898, 277.7501711845398]}, "4": {"fourier": [24.347788780294824, 24.46817154894661, 24.480518939335703, 24.714764792267164, 149.01286360621452]}, "5": {"fourier": [13.152119010686874, 13.561883608577379, 14.961710918701, 16.155926393320044, 17.52731908050583]}, "6": {"fourier": [22.23590181405505, 22.796327918397836, 25.312396095878313, 25.532813439630186, 28.01023431392252]}, "7": {"fourier": [7.849258518842396, 8.214390030505813, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.922671, -0.231093, -0.14393, -0.284238, 0.306533], [0.621179, -0.068939, -0.209219, -0.324398, 0.560517], [-0.256047, -0.670645, -0.157623, -0.220294, -0.213989], [0.187402, 0.141136, -0.271991, 0.602249, -0.682499], [-0.656722, -0.04295, -0.163823, 0.131678, 0.786188], [0.12003, -0.456766, 0.348575, 0.117969, 0.261889], [0.837593, -0.127003, 0.024039, -0.147151, 0.508853], [-0.565996, -0.042526, 0.03633, -0.059045, 0.768605]], "network.0.bias": [0.005744, -0.214546, -0.562162, 0.338088, -0.121996, -0.117267, 0.252804, 0.049642], "network.2.weight": [[-0.12222, -0.371182, 0.024477, 0.558715, -0.256829, 0.230153, 0.079549, -0.442206], [0.284849, 0.433078, -0.024189, -0.446509, 0.245577, 0.148497, 0.455116, 0.748323], [0.260297, 0.665385, -0.229333, 0.412604, -0.905716, -0.242463, 0.525471, 0.146632], [-0.341708, -0.495928, 0.046603, -0.291585, -0.614049, -0.635007, -0.604605, -0.079737], [-0.476101, -0.478523, 0.270772, -0.294911, -0.198361, -0.057476, 0.093352, -0.486869], [0.179663, 0.100282, -0.062426, -0.481672, -0.220621, 0.393906, -0.065185, -0.170052], [0.018044, 0.088319, 0.612783, -0.430142, 0.374486, -0.181135, 0.033203, 0.747109], [-0.221236, 0.27939, 0.180781, -0.393036, 0.034884, -0.328754, 0.042706, -0.057149]], "network.2.bias": [0.872292, 0.239255, -0.152462, -0.328546, -0.256817, 0.542965, -0.329637, -0.375608], "network.4.weight": [[-0.863894, 0.524826, 0.453314, 0.261239, 0.039078, -0.577037, 0.467316, -0.17528], [0.573529, 0.021006, -0.27359, -0.329845, 0.181892, 0.101422, -0.078859, 0.172597], [0.595548, 0.024525, -0.669909, -0.489755, -0.030784, 0.17137, -0.240284, 0.248075], [-0.385098, 0.214547, 0.103689, -0.168352, -0.13007, 0.121033, 0.214039, 0.252888], [-0.832689, 0.371392, 0.734281, 0.147826, -0.050485, -0.641272, 0.574084, -0.325338], [-0.043455, 0.121318, 0.761141, 0.420218, -0.059674, 0.169925, 0.246287, 0.130797], [-0.219393, -0.084158, -0.274589, 0.091211, 0.184392, -0.263183, -0.394603, -0.214851], [-0.45048, 0.281584, 0.350733, -0.128743, -0.112168, 0.445688, -0.03068, 0.00947]], "network.4.bias": [0.1053, 0.605619, 0.538848, -0.489199, 0.176764, -0.414891, -0.479915, -0.379945], "network.6.weight": [[0.261517, 0.125979, -0.10257, -0.228798, -0.099655, 0.319887, -0.319047, 0.183956], [0.382641, -0.491732, -0.76282, 0.244034, 0.413024, 0.31826, -0.416785, 0.432092], [-0.180012, 0.542225, 0.258744, -0.239313, -0.45015, 0.150688, -0.085196, 0.001786], [0.504383, -0.660089, -0.183119, 0.314574, 0.050244, 0.074019, 0.107128, 0.193398], [0.019124, 0.346496, 0.760043, -0.082032, -0.291786, -0.184354, -0.185214, -0.51941], [-0.291288, -0.228017, -0.19299, -0.105984, -0.39964, 0.149021, -0.123678, -0.084696], [0.430276, -0.275462, -0.354006, 0.408682, 0.273442, 0.001492, 0.07058, 0.642552], [0.129586, -0.266865, -0.068794, -0.187657, -0.120191, 0.02701, 0.092413, -0.201012]], "network.6.bias": [-0.088845, 0.25666, -0.027856, 0.174561, 0.731095, -0.224941, 0.166723, -0.352985], "network.8.weight": [[0.25083, -0.097977, -0.253078, 0.296887, -0.165011, -0.347798, -0.137911, -0.016467], [-0.043722, -0.085008, -0.390694, -0.320502, 0.051105, 0.137274, -0.507775, -0.151908], [0.436385, 0.564677, 0.125834, 0.56585, -0.937795, -0.134955, 0.190774, 0.213557], [-0.255679, 0.115403, -0.043592, -0.019047, -0.143446, 0.184625, -0.362584, -0.284161], [-0.301369, -0.503344, 0.356638, -0.031434, 0.816717, 0.015371, -0.253109, -0.218245], [-0.350622, -0.107983, 0.074195, 0.074345, -0.329501, 0.218417, -0.307299, 0.062007], [0.409502, 0.448435, -0.542435, -0.204405, -0.233102, -0.166525, 0.141581, -0.253588], [0.312482, -0.014019, 0.060671, 0.030815, 0.026742, -0.043274, -0.321949, 0.319799]], "network.8.bias": [-0.321917, -0.597367, 0.291301, -0.428568, 0.179965, -0.035759, -0.086281, -0.351867], "network.10.weight": [[-0.321898, 0.119105, -0.617896, 0.120543, 0.348948, 0.155662, -0.01776, -0.066394]], "network.10.bias": [0.338798]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7229806780815125, "train_acc": 0.405, "val_loss": 0.6952873468399048, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6651345789432526, "train_acc": 0.595, "val_loss": 0.7302728295326233, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5773325860500336, "train_acc": 0.595, "val_loss": 0.5345664024353027, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5585737526416779, "train_acc": 0.605, "val_loss": 0.4939340651035309, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4779324382543564, "train_acc": 0.755, "val_loss": 0.4347316026687622, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.35401400923728943, "train_acc": 0.85, "val_loss": 1.2106295824050903, "val_acc": 0.36}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6740152835845947, "train_acc": 0.66, "val_loss": 0.5079491138458252, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.45164960622787476, "train_acc": 0.85, "val_loss": 0.5625351071357727, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 3, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6952873468399048, "final_val_loss": 0.5345664024353027, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.4939340651035309, "final_val_loss": 0.5625351071357727, "initial_val_acc": 0.78, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 4}, "improvement": 0.35999999999999993, "first_improvement_epoch": 2}}
|
58
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7511, "learning_rate": 0.058202799735515814, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[18.173614, 19.201508, 21.833825, 23.975590, 195.760793], [35.972377, 36.130974, 36.822014, 39.425119, 74.517674], [42.951491, 47.200143, 50.522535, 55.761047, 60.530526], [18.360629, 19.972671, 21.409832, 23.422880, 42.987978], [35.474831, 39.468487, 41.753479, 42.241506, 233.943853]]
### 2
fourier: [[20.229467, 21.064745, 21.332666, 22.400311, 146.962646], [3.678589, 4.230034, 4.267933, 4.290972, 73.686048], [6.879103, 6.977457, 7.651521, 7.679676, 19.855652], [25.758281, 26.770915, 27.409043, 28.328210, 101.860685], [10.875161, 11.218728, 11.952945, 12.413016, 39.784010]]
### 4
fourier: [[1.748105, 1.791734, 1.899338, 2.063782, 44.697028], [14.491405, 14.879497, 17.526132, 17.856604, 83.940205], [17.874133, 18.868700, 20.424112, 21.338027, 84.923107], [26.117328, 26.166550, 27.175297, 28.061717, 156.104320], [18.807501, 19.547453, 19.748386, 19.807049, 99.932955]]
### 6
fourier: [[10.913978, 11.721626, 12.896149, 13.291233, 31.820682], [16.722619, 17.276566, 18.556123, 19.585615, 110.129275], [1.177905, 1.179011, 1.237727, 1.511765, 46.271368], [13.996736, 14.248051, 15.163326, 16.153306, 33.238875], [9.877029, 10.613149, 11.715196, 12.052782, 28.994475]]
### 8
fourier: [[16.083942, 16.967997, 17.512955, 17.621376, 18.745168]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[18.173614, 19.201508, 21.833825, 23.975590, 195.760793], [35.972377, 36.130974, 36.822014, 39.425119, 74.517674], [42.951491, 47.200143, 50.522535, 55.761047, 60.530526], [18.360629, 19.972671, 21.409832, 23.422880, 42.987978], [35.474831, 39.468487, 41.753479, 42.241506, 233.943853]]
### 2
fourier: [[20.229467, 21.064745, 21.332666, 22.400311, 146.962646], [3.678589, 4.230034, 4.267933, 4.290972, 73.686048], [6.879103, 6.977457, 7.651521, 7.679676, 19.855652], [25.758281, 26.770915, 27.409043, 28.328210, 101.860685], [10.875161, 11.218728, 11.952945, 12.413016, 39.784010]]
### 4
fourier: [[1.748105, 1.791734, 1.899338, 2.063782, 44.697028], [14.491405, 14.879497, 17.526132, 17.856604, 83.940205], [17.874133, 18.868700, 20.424112, 21.338027, 84.923107], [26.117328, 26.166550, 27.175297, 28.061717, 156.104320], [18.807501, 19.547453, 19.748386, 19.807049, 99.932955]]
### 6
fourier: [[10.913978, 11.721626, 12.896149, 13.291233, 31.820682], [16.722619, 17.276566, 18.556123, 19.585615, 110.129275], [1.177905, 1.179011, 1.237727, 1.511765, 46.271368], [13.996736, 14.248051, 15.163326, 16.153306, 33.238875], [9.877029, 10.613149, 11.715196, 12.052782, 28.994475]]
### 8
fourier: [[16.083942, 16.967997, 17.512955, 17.621376, 18.745168]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6921209990978241, "train_acc": 0.475, "val_loss": 0.7133306860923767, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6447307169437408, "train_acc": 0.595, "val_loss": 0.8337544798851013, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6584827899932861, "train_acc": 0.595, "val_loss": 0.7450481653213501, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6346133649349213, "train_acc": 0.595, "val_loss": 0.6952401995658875, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6251510083675385, "train_acc": 0.595, "val_loss": 0.6774139404296875, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6367217600345612, "train_acc": 0.545, "val_loss": 0.6301228404045105, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5844853222370148, "train_acc": 0.695, "val_loss": 0.5926773548126221, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.559993714094162, "train_acc": 0.775, "val_loss": 0.5206713080406189, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.543514758348465, "train_acc": 0.745, "val_loss": 0.5109068155288696, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5482260882854462, "train_acc": 0.75, "val_loss": 0.47659188508987427, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.5008123517036438, "train_acc": 0.79, "val_loss": 0.4514649212360382, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.5084599554538727, "train_acc": 0.77, "val_loss": 0.41989362239837646, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.48179520666599274, "train_acc": 0.79, "val_loss": 0.4013761878013611, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5147472620010376, "train_acc": 0.795, "val_loss": 0.37306317687034607, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.4842289388179779, "train_acc": 0.79, "val_loss": 0.3640440106391907, "val_acc": 0.9}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7133306860923767, "final_val_loss": 0.6774139404296875, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6301228404045105, "final_val_loss": 0.3640440106391907, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 11}, "improvement": 0.46, "first_improvement_epoch": 4}}
|
59
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.98, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7617, "learning_rate": 0.01839529955470709, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.bias": [
0.12033,
0.061327,
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0.182126,
0.029547,
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"network.12.weight": [
[
0.25572,
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0.179448,
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]
],
"network.12.bias": [
-0.048984
]
}
## Activation Signature
### 0
fourier: [[11.572970, 12.636158, 14.237173, 20.120703, 36.964627], [17.414510, 17.770248, 21.463995, 22.531141, 23.223480], [14.538667, 15.435717, 15.923200, 17.626563, 62.965886], [23.882579, 24.627142, 25.401238, 29.696441, 80.785529], [16.326292, 16.947495, 18.727244, 20.105033, 54.791036], [30.447996, 34.515332, 36.338872, 39.413320, 263.688123], [18.728910, 20.318762, 21.181527, 21.356791, 75.182772]]
### 2
fourier: [[4.650130, 4.830557, 5.725447, 6.338990, 38.938004], [16.247085, 16.298381, 18.604133, 21.401981, 160.354960], [7.463847, 7.473036, 8.616794, 9.186081, 11.741888], [12.620798, 14.096287, 14.219694, 15.535668, 64.520009], [20.029573, 24.577553, 24.601685, 25.601284, 123.230166], [12.087049, 12.478764, 12.930654, 15.537142, 19.047392], [8.532062, 8.945782, 9.412769, 9.717483, 10.127975]]
### 4
fourier: [[3.677968, 3.717863, 3.756246, 3.785194, 30.433189], [7.518285, 7.870049, 8.137737, 9.001725, 31.901302], [5.340193, 5.572073, 6.413030, 7.080397, 55.575956], [10.428943, 10.741670, 11.005782, 11.541560, 13.123639], [2.126839, 2.171763, 2.210278, 2.578105, 17.098054], [10.863247, 11.053252, 12.249721, 12.837787, 42.194678], [7.243440, 7.648044, 7.804408, 7.860512, 9.193348]]
### 6
fourier: [[6.165400, 6.811295, 7.035942, 7.055227, 19.267421], [3.035379, 3.097772, 3.315412, 3.730453, 7.806016], [7.557819, 7.610260, 7.954633, 9.164610, 22.747981], [6.490191, 7.324736, 7.570803, 7.672215, 35.508195], [4.648322, 4.675486, 4.789035, 5.488838, 45.792534], [7.900524, 8.631587, 8.904499, 8.968848, 43.615589], [7.055339, 7.727932, 8.001758, 8.241935, 67.821702]]
### 8
fourier: [[5.396629, 5.880064, 6.085538, 6.172456, 31.028163], [4.078426, 4.445359, 4.662179, 4.723703, 14.621545], [5.693323, 6.126386, 6.268300, 6.414909, 17.611922], [1.470154, 1.572117, 1.642594, 1.736776, 12.628727], [10.947289, 12.049509, 12.171806, 12.337398, 88.282986], [5.838208, 6.401597, 6.602324, 6.673693, 60.790072], [7.440797, 8.026889, 8.476241, 8.542881, 76.400838]]
### 10
fourier: [[5.485792, 5.955699, 6.335252, 6.359854, 28.119309], [5.282112, 5.436157, 6.129976, 6.237233, 43.474685], [3.778243, 3.958054, 4.114351, 4.474212, 4.569022], [11.422037, 11.855125, 13.476821, 13.589700, 108.351333], [5.478963, 5.914929, 6.053564, 6.177525, 47.188878], [6.087651, 6.391050, 7.006485, 7.110504, 62.438294], [5.488365, 5.921708, 6.496290, 6.512144, 36.714365]]
### 12
fourier: [[10.092265, 10.132055, 12.110733, 12.226324, 81.575826]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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[
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"network.12.bias": [
-0.048984
]
}
## Activation Signature
### 0
fourier: [[11.572970, 12.636158, 14.237173, 20.120703, 36.964627], [17.414510, 17.770248, 21.463995, 22.531141, 23.223480], [14.538667, 15.435717, 15.923200, 17.626563, 62.965886], [23.882579, 24.627142, 25.401238, 29.696441, 80.785529], [16.326292, 16.947495, 18.727244, 20.105033, 54.791036], [30.447996, 34.515332, 36.338872, 39.413320, 263.688123], [18.728910, 20.318762, 21.181527, 21.356791, 75.182772]]
### 2
fourier: [[4.650130, 4.830557, 5.725447, 6.338990, 38.938004], [16.247085, 16.298381, 18.604133, 21.401981, 160.354960], [7.463847, 7.473036, 8.616794, 9.186081, 11.741888], [12.620798, 14.096287, 14.219694, 15.535668, 64.520009], [20.029573, 24.577553, 24.601685, 25.601284, 123.230166], [12.087049, 12.478764, 12.930654, 15.537142, 19.047392], [8.532062, 8.945782, 9.412769, 9.717483, 10.127975]]
### 4
fourier: [[3.677968, 3.717863, 3.756246, 3.785194, 30.433189], [7.518285, 7.870049, 8.137737, 9.001725, 31.901302], [5.340193, 5.572073, 6.413030, 7.080397, 55.575956], [10.428943, 10.741670, 11.005782, 11.541560, 13.123639], [2.126839, 2.171763, 2.210278, 2.578105, 17.098054], [10.863247, 11.053252, 12.249721, 12.837787, 42.194678], [7.243440, 7.648044, 7.804408, 7.860512, 9.193348]]
### 6
fourier: [[6.165400, 6.811295, 7.035942, 7.055227, 19.267421], [3.035379, 3.097772, 3.315412, 3.730453, 7.806016], [7.557819, 7.610260, 7.954633, 9.164610, 22.747981], [6.490191, 7.324736, 7.570803, 7.672215, 35.508195], [4.648322, 4.675486, 4.789035, 5.488838, 45.792534], [7.900524, 8.631587, 8.904499, 8.968848, 43.615589], [7.055339, 7.727932, 8.001758, 8.241935, 67.821702]]
### 8
fourier: [[5.396629, 5.880064, 6.085538, 6.172456, 31.028163], [4.078426, 4.445359, 4.662179, 4.723703, 14.621545], [5.693323, 6.126386, 6.268300, 6.414909, 17.611922], [1.470154, 1.572117, 1.642594, 1.736776, 12.628727], [10.947289, 12.049509, 12.171806, 12.337398, 88.282986], [5.838208, 6.401597, 6.602324, 6.673693, 60.790072], [7.440797, 8.026889, 8.476241, 8.542881, 76.400838]]
### 10
fourier: [[5.485792, 5.955699, 6.335252, 6.359854, 28.119309], [5.282112, 5.436157, 6.129976, 6.237233, 43.474685], [3.778243, 3.958054, 4.114351, 4.474212, 4.569022], [11.422037, 11.855125, 13.476821, 13.589700, 108.351333], [5.478963, 5.914929, 6.053564, 6.177525, 47.188878], [6.087651, 6.391050, 7.006485, 7.110504, 62.438294], [5.488365, 5.921708, 6.496290, 6.512144, 36.714365]]
### 12
fourier: [[10.092265, 10.132055, 12.110733, 12.226324, 81.575826]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [11.572969599964576, 12.63615803285441, 14.237172822931326, 20.1207031260039, 36.96462695300579]}, "1": {"fourier": [17.414509767084176, 17.770247673417767, 21.46399477124214, 22.531141100201626, 23.22348044995965]}, "2": {"fourier": [14.538666842310038, 15.435717209668333, 15.923200360344525, 17.626563312810458, 62.96588556468487]}, "3": {"fourier": [23.882579322221286, 24.627141549768854, 25.40123847097015, 29.6964412389465, 80.78552888333797]}, "4": {"fourier": [16.326292109337174, 16.94749529785349, 18.727244359054644, 20.10503342059619, 54.79103571176529]}, "5": {"fourier": [30.447996388175188, 34.51533210984528, 36.33887227073838, 39.413320026811505, 263.68812261521816]}, "6": {"fourier": [18.72890962935478, 20.31876202790499, 21.181526981378187, 21.356791336269357, 75.182771936059]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": 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3.958054002851468, 4.11435145173467, 4.474212401426064, 4.569021670175785]}, "3": {"fourier": [11.422037273375247, 11.855124717067524, 13.476821284963535, 13.589699902242879, 108.35133334994316]}, "4": {"fourier": [5.4789634841878945, 5.914928783647967, 6.053564106032883, 6.177524946739913, 47.188877603039145]}, "5": {"fourier": [6.087650935519459, 6.391050413881568, 7.006484985434627, 7.110503612049623, 62.43829382956028]}, "6": {"fourier": [5.488365170294864, 5.921708279389604, 6.496289598919195, 6.512143601190476, 36.714365400373936]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [10.092264697191329, 10.132054776148424, 12.110732677945544, 12.22632373523415, 81.57582572102547]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.111068, -0.167623, 0.138575, -0.143604, 0.34122], [-0.275043, 0.385716, -0.143894, -0.211886, -0.312589], [-0.34922, 0.085306, 0.474067, -0.077658, -0.103197], [0.504486, 0.28788, 0.192382, -0.25598, -0.034548], [-0.342193, -0.221169, -0.078648, -0.128253, 0.240401], [0.244837, -0.180959, 0.451269, 0.479738, 0.550538], [-0.070457, 0.216367, -0.252556, 0.434204, -0.109027]], "network.0.bias": [0.452029, 0.541412, 0.282297, -0.065088, 0.362895, 0.304509, 0.259676], "network.2.weight": [[-0.021285, 0.152249, 0.092414, -0.113365, -0.077996, -0.040829, -0.207367], [0.03213, 0.181974, 0.284229, -0.481398, 0.169537, 0.458586, 0.347871], [-0.120004, -0.25128, -0.044656, 0.074583, 0.392034, 0.200862, -0.110942], [0.358897, 0.113387, 0.226839, -0.329142, -0.065386, -0.23559, -0.008913], [-0.584381, -0.059976, 0.248217, -0.136572, -0.262188, -0.437313, 0.293207], [-0.558672, -0.256354, -0.339116, 0.398027, 0.164601, 0.043926, 0.05601], [-0.053576, -0.128281, 0.015421, 0.385655, 0.10374, -0.101238, -0.135435]], "network.2.bias": [-0.098085, 0.360773, -0.394609, -0.045662, -0.127438, 0.174185, 0.182691], "network.4.weight": [[0.107652, -0.030646, 0.356513, 0.058492, 0.068837, -0.306324, -0.182473], [0.036196, 0.301364, 0.075376, -0.431153, 0.025875, -0.010685, -0.460105], [-0.072836, -0.192645, -0.349609, 0.551117, 0.31915, -0.401955, 0.169245], [0.087983, -0.222703, 0.202435, 0.147898, -0.030523, 0.516455, 0.425891], [0.154265, 0.108804, -0.008618, 0.116843, 0.182101, 0.08561, -0.169429], [-0.243889, 0.334457, -0.037004, -0.308776, -0.024598, -0.412377, -0.375555], [-0.420069, -0.201136, 0.172151, -0.13873, 0.169956, 0.520607, -0.05443]], "network.4.bias": [0.494733, -0.124139, -0.094873, 0.268843, -0.32961, 0.019742, 0.079566], "network.6.weight": [[-0.490596, -0.109598, 0.216691, 0.234143, 0.035536, -0.470898, -0.016859], [-0.224496, 0.280616, -0.076147, 0.382564, 0.158689, -0.338063, -0.265045], [0.307891, 0.106006, -0.397561, -0.475428, 0.043899, 0.198904, -0.256121], [0.101276, -0.386659, -0.236359, 0.048779, -0.407545, -0.409417, 0.371519], [0.35506, -0.128053, 0.16474, -0.168572, 0.158838, 0.325684, -0.199253], [0.367957, 0.354046, -0.38193, -0.422847, -0.123802, 0.458814, 0.150996], [-0.162593, 0.357945, -0.065981, -0.181366, 0.145804, 0.51545, -0.171801]], "network.6.bias": [0.141382, 0.150354, 0.107003, -0.196125, 0.391062, 0.086564, 0.483599], "network.8.weight": [[0.147289, -0.193626, 0.470185, -0.144261, 0.522093, 0.229702, 0.062826], [0.24311, -0.176447, 0.1946, -0.284866, 0.345125, 0.257983, 0.082655], [0.372754, -0.188842, -0.40901, 0.400951, -0.226832, -0.085414, -0.246696], [-0.028626, -0.0036, 0.030516, -0.540587, 0.011003, -0.224989, -0.159582], [-0.333856, -0.153668, 0.488697, -0.549457, 0.374943, 0.457625, 0.48089], [0.074016, -0.238228, 0.021169, -0.523988, 0.104531, 0.413368, 0.278604], [-0.030435, -0.244987, 0.273364, -0.240197, 0.285727, 0.302835, 0.430352]], "network.8.bias": [-0.092916, -0.175943, 0.230883, 0.280523, 0.189283, 0.262184, 0.275903], "network.10.weight": [[-0.270683, -0.285711, 0.361487, -0.322628, -0.250127, 0.090135, -0.157844], [-0.218458, 0.374722, -0.153343, -0.094307, 0.441907, -0.208816, 0.211207], [0.214615, -0.196022, -0.350872, -0.403637, 0.28633, -0.204247, 0.104934], [0.377902, -0.080926, -0.279445, -0.151855, 0.365227, 0.541613, 0.435379], [-0.282328, 0.043486, -0.443457, 0.15031, 0.188693, 0.219618, 0.340653], [-0.402851, 0.114747, 0.439255, 0.395258, -0.468706, -0.122873, 0.24501], [0.286199, 0.313603, -0.223802, 0.300122, 0.083329, 0.426296, 0.044691]], "network.10.bias": [0.12033, 0.061327, -0.252272, 0.182126, 0.029547, -0.309797, -0.073549], "network.12.weight": [[0.25572, -0.400045, -0.369266, -0.42384, -0.293863, 0.179448, -0.239499]], "network.12.bias": [-0.048984]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925990581512451, "train_acc": 0.55, "val_loss": 0.6800563931465149, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6862382292747498, "train_acc": 0.55, "val_loss": 0.6720321774482727, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6809700429439545, "train_acc": 0.55, "val_loss": 0.6561277508735657, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6758882403373718, "train_acc": 0.55, "val_loss": 0.617048978805542, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6629965007305145, "train_acc": 0.47, "val_loss": 0.5125939846038818, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.544824630022049, "train_acc": 0.605, "val_loss": 0.3589049279689789, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.43937525153160095, "train_acc": 0.915, "val_loss": 0.2518770098686218, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3460235595703125, "train_acc": 0.915, "val_loss": 0.19890329241752625, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.28229906409978867, "train_acc": 0.915, "val_loss": 0.1622343510389328, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.25507833808660507, "train_acc": 0.93, "val_loss": 0.13408367335796356, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21081238240003586, "train_acc": 0.935, "val_loss": 0.11968572437763214, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.20635148882865906, "train_acc": 0.925, "val_loss": 0.11697214096784592, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19786906987428665, "train_acc": 0.935, "val_loss": 0.12406551092863083, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.21714583784341812, "train_acc": 0.935, "val_loss": 0.12630821764469147, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6800563931465149, "final_val_loss": 0.617048978805542, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5125939846038818, "final_val_loss": 0.12630821764469147, "initial_val_acc": 0.62, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
60
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1256, "learning_rate": 0.06504650220298641, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.134626, 26.274640, 26.956508, 29.517590, 169.246945], [29.397982, 30.487078, 32.804712, 35.707577, 126.458980], [17.348797, 18.482146, 18.495263, 19.196192, 43.505027], [17.154225, 17.331786, 17.802006, 18.854244, 124.903966], [18.309672, 19.159508, 21.732936, 22.106723, 25.158793], [29.327903, 32.812460, 36.814217, 39.434268, 105.185626], [18.634192, 18.995556, 19.778285, 20.751968, 22.021085], [12.311481, 13.568879, 14.327482, 15.680580, 45.993309]]
### 2
fourier: [[31.581804, 32.150917, 34.115836, 37.527264, 135.545293], [17.822611, 18.226694, 18.465442, 18.919305, 35.070497], [16.763923, 19.073469, 20.047966, 21.156112, 109.408348], [26.953274, 27.122598, 27.910830, 30.048473, 125.877982], [21.458579, 22.933560, 24.834420, 25.204128, 153.686440], [13.046026, 13.496944, 13.846384, 14.606456, 15.965495], [8.844691, 8.864046, 8.917295, 10.305028, 104.767668], [20.520867, 25.628275, 25.771235, 27.348932, 156.338585]]
### 4
fourier: [[24.372093, 25.139760, 26.184353, 26.307176, 146.789135], [11.486697, 11.968015, 12.264162, 13.283642, 75.008755], [33.565261, 35.533117, 35.735084, 38.744127, 151.467490], [40.200851, 40.351519, 40.703656, 43.193950, 197.803514], [37.009909, 38.395620, 39.343943, 42.173825, 52.765398], [17.446272, 17.896213, 17.991891, 19.111452, 82.705009], [13.242022, 14.732789, 14.744049, 15.507195, 16.404723], [39.366360, 40.945210, 41.321080, 41.645497, 44.871151]]
### 6
fourier: [[20.357563, 21.186969, 22.349309, 22.603696, 23.439537], [34.755399, 35.296531, 35.613402, 35.684766, 149.940556], [41.086055, 43.488979, 45.736378, 47.913750, 66.557387], [4.701714, 4.744566, 4.850580, 5.636421, 12.986551], [50.175848, 54.995524, 55.424363, 57.367451, 218.408566], [20.206852, 21.559355, 22.176818, 23.460488, 23.799139], [48.856720, 53.259281, 54.163415, 55.384636, 147.245248], [57.718594, 62.094559, 64.021093, 66.973380, 205.322334]]
### 8
fourier: [[57.051549, 62.499156, 62.790167, 64.397553, 156.948122], [9.347749, 9.826924, 11.219678, 11.593357, 53.726561], [48.635448, 53.775962, 54.069267, 55.008501, 228.829499], [49.131816, 52.667216, 53.336372, 53.353873, 220.768981], [40.795832, 44.049943, 44.531422, 44.675493, 178.130191], [42.025213, 43.486699, 44.989158, 45.231543, 264.994611], [83.072042, 90.839571, 91.530602, 93.865761, 306.600210], [55.521334, 60.894185, 61.813320, 62.869277, 219.467585]]
### 10
fourier: [[89.074676, 90.012969, 92.443664, 93.663789, 496.027980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.134626, 26.274640, 26.956508, 29.517590, 169.246945], [29.397982, 30.487078, 32.804712, 35.707577, 126.458980], [17.348797, 18.482146, 18.495263, 19.196192, 43.505027], [17.154225, 17.331786, 17.802006, 18.854244, 124.903966], [18.309672, 19.159508, 21.732936, 22.106723, 25.158793], [29.327903, 32.812460, 36.814217, 39.434268, 105.185626], [18.634192, 18.995556, 19.778285, 20.751968, 22.021085], [12.311481, 13.568879, 14.327482, 15.680580, 45.993309]]
### 2
fourier: [[31.581804, 32.150917, 34.115836, 37.527264, 135.545293], [17.822611, 18.226694, 18.465442, 18.919305, 35.070497], [16.763923, 19.073469, 20.047966, 21.156112, 109.408348], [26.953274, 27.122598, 27.910830, 30.048473, 125.877982], [21.458579, 22.933560, 24.834420, 25.204128, 153.686440], [13.046026, 13.496944, 13.846384, 14.606456, 15.965495], [8.844691, 8.864046, 8.917295, 10.305028, 104.767668], [20.520867, 25.628275, 25.771235, 27.348932, 156.338585]]
### 4
fourier: [[24.372093, 25.139760, 26.184353, 26.307176, 146.789135], [11.486697, 11.968015, 12.264162, 13.283642, 75.008755], [33.565261, 35.533117, 35.735084, 38.744127, 151.467490], [40.200851, 40.351519, 40.703656, 43.193950, 197.803514], [37.009909, 38.395620, 39.343943, 42.173825, 52.765398], [17.446272, 17.896213, 17.991891, 19.111452, 82.705009], [13.242022, 14.732789, 14.744049, 15.507195, 16.404723], [39.366360, 40.945210, 41.321080, 41.645497, 44.871151]]
### 6
fourier: [[20.357563, 21.186969, 22.349309, 22.603696, 23.439537], [34.755399, 35.296531, 35.613402, 35.684766, 149.940556], [41.086055, 43.488979, 45.736378, 47.913750, 66.557387], [4.701714, 4.744566, 4.850580, 5.636421, 12.986551], [50.175848, 54.995524, 55.424363, 57.367451, 218.408566], [20.206852, 21.559355, 22.176818, 23.460488, 23.799139], [48.856720, 53.259281, 54.163415, 55.384636, 147.245248], [57.718594, 62.094559, 64.021093, 66.973380, 205.322334]]
### 8
fourier: [[57.051549, 62.499156, 62.790167, 64.397553, 156.948122], [9.347749, 9.826924, 11.219678, 11.593357, 53.726561], [48.635448, 53.775962, 54.069267, 55.008501, 228.829499], [49.131816, 52.667216, 53.336372, 53.353873, 220.768981], [40.795832, 44.049943, 44.531422, 44.675493, 178.130191], [42.025213, 43.486699, 44.989158, 45.231543, 264.994611], [83.072042, 90.839571, 91.530602, 93.865761, 306.600210], [55.521334, 60.894185, 61.813320, 62.869277, 219.467585]]
### 10
fourier: [[89.074676, 90.012969, 92.443664, 93.663789, 496.027980]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [31.581804226139095, 32.15091709136499, 34.115836112838736, 37.52726369661142, 135.54529335349798]}, "1": {"fourier": [17.82261127770702, 18.226694365346077, 18.46544240578541, 18.919304961039806, 35.070496916770935]}, "2": {"fourier": [16.76392307028274, 19.073469136527745, 20.047966259834595, 21.156111841801604, 109.40834826231003]}, "3": {"fourier": [26.9532737020607, 27.12259826314762, 27.910830200457, 30.048472872043778, 125.87798221409321]}, "4": {"fourier": [21.458578649682874, 22.93355957489051, 24.834419661608287, 25.204127960136667, 153.6864396929741]}, "5": {"fourier": [13.046025816810168, 13.4969444328823, 13.846383830953464, 14.60645633047864, 15.96549529554853]}, "6": {"fourier": [8.844691233030218, 8.864046496163235, 8.9172948152403, 10.305027592243766, 104.76766830682755]}, "7": {"fourier": [20.520866778943176, 25.628275498075997, 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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.597781, 0.026839, 0.541714, 0.380923, 0.034029], [0.751617, 0.495785, -0.113601, -0.260992, -0.086405], [-0.09326, 0.372225, -0.357491, 0.097592, 0.015079], [-0.355659, -0.317313, -0.033277, 0.04656, -0.030871], [-0.610337, 0.250043, 0.372349, -0.152113, -0.150196], [0.450595, 0.328042, -0.18772, -0.177797, 0.761969], [0.469377, 0.31595, -0.124315, -0.215457, -0.007093], [0.170239, 0.024868, -0.190266, -0.351915, 0.24176]], "network.0.bias": [0.585103, 0.469874, 0.440049, -0.359268, -0.016725, -0.156137, -0.360701, 0.085731], "network.2.weight": [[0.17384, 0.500411, -0.365022, 0.233097, -0.362254, 0.424444, 0.447027, -0.132015], [0.160386, -0.327071, 0.408916, -0.429703, -0.14846, -0.157835, -0.067539, 0.122106], [0.390782, -0.222747, 0.151515, -0.461745, 0.411964, 0.216014, -0.292623, 0.410218], [-0.06287, 0.479076, 0.102451, 0.309365, -0.062871, 0.312762, 0.292136, -0.402], [0.541487, -0.421345, 0.104865, -0.557441, 0.227482, 0.34794, -0.163314, 0.203208], [-0.127479, 0.347566, -0.116294, -0.27694, -0.451857, -0.101159, 0.049905, -0.352134], [-0.170527, -0.108781, 0.154578, 0.2247, -0.102802, -0.243182, 0.005838, 0.076662], [0.537858, -0.307491, 0.600339, -0.22137, 0.482957, 0.429822, -0.233839, -0.29968]], "network.2.bias": [0.093444, 0.564512, 0.329364, 0.330886, 0.683658, 0.066755, -0.396478, 0.175026], "network.4.weight": [[0.211986, -0.02311, 0.341405, -0.382713, 0.334349, 0.071974, -0.344355, 0.442767], [-0.346869, -0.162967, -0.075849, -0.159541, 0.115794, 0.396461, -0.236923, -0.040224], [-0.213132, 0.372679, 0.041514, -0.218973, 0.555176, -0.385385, -0.43004, 0.30268], [-0.285877, 0.259766, 0.695955, -0.091363, 0.57329, 0.077724, 0.034848, 0.313814], [0.287348, -0.654755, -0.13803, 0.330001, -0.274261, 0.401233, -0.41566, -0.321775], [0.156386, -0.40382, 0.002301, 0.033433, -0.403224, 0.078849, -0.196099, -0.060999], [-0.032941, 0.454165, -0.151083, -0.152227, 0.028713, -0.131555, 0.354863, 0.37283], [0.340821, -0.476822, -0.176524, 0.348304, -0.242215, 0.337575, -0.272863, -0.426614]], "network.4.bias": [0.017297, -0.182116, 0.54999, 0.180146, 0.000837, -0.199154, -0.368984, 0.133214], "network.6.weight": [[0.077248, 0.357322, -0.353497, 0.022811, 0.394752, 0.351504, -0.239785, 0.128754], [0.25508, -0.14078, 0.359788, 0.414158, -0.269007, 0.171561, 0.039254, -0.045036], [0.029864, -0.454401, -0.125611, -0.52522, 0.601286, 0.136335, -0.019978, 0.4469], [-0.224718, 0.128312, 0.058181, 0.143016, 0.28871, 0.277464, 0.07427, -0.109379], [0.443826, -0.232101, 0.382101, 0.5305, -0.150891, -0.08199, -0.042885, -0.585694], [-0.172762, 0.21551, 0.062278, 0.015862, 0.463073, -0.105449, -0.026067, 0.373334], [0.116511, -0.422319, -0.635127, -0.509877, 0.287846, -0.042325, -0.374194, 0.603315], [0.209393, -0.305026, 0.641435, 0.306894, -0.641382, -0.487625, 0.303995, -0.55195]], "network.6.bias": [0.074923, -0.279949, -0.03354, -0.350475, 0.179141, -0.322654, 0.078529, 0.643933], "network.8.weight": [[0.202652, -0.306329, 0.394438, 0.166965, -0.680576, 0.075807, 0.46604, -0.063789], [0.557639, -0.018474, -0.005914, 0.533515, 0.275743, -0.249826, 0.252145, -0.15358], [0.059324, 0.038279, -0.25836, -0.096706, 0.474327, -0.502088, -0.151797, 0.423854], [-0.204647, -0.093545, 0.611539, -0.365424, -0.449069, -0.120602, 0.106771, -0.539844], [-0.262606, 0.68056, -0.176767, -0.087906, 0.055715, 0.004593, -0.209162, 0.260355], [-0.060041, -0.659436, 0.021138, 0.013879, -0.257563, -0.12443, 0.255964, -0.301833], [-0.403377, 0.566024, -0.422868, -0.195255, 0.500755, -0.473641, -0.466251, 0.529307], [-0.42812, 0.08156, 0.012979, -0.04182, 0.327251, -0.423394, -0.440214, 0.596196]], "network.8.bias": [0.305244, 0.079903, 0.275177, 0.222524, 0.111943, -0.196848, 0.215623, 0.11402], "network.10.weight": [[0.270761, 0.120753, -0.516659, 0.233713, -0.19234, 0.35579, -0.543049, -0.548874]], "network.10.bias": [0.152987]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026453018188477, "train_acc": 0.445, "val_loss": 0.6509823799133301, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6227011382579803, "train_acc": 0.575, "val_loss": 0.395503968000412, "val_acc": 0.82}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.39578092098236084, "train_acc": 0.83, "val_loss": 0.12588907778263092, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.26339033991098404, "train_acc": 0.92, "val_loss": 0.20250925421714783, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2971435636281967, "train_acc": 0.915, "val_loss": 0.18426986038684845, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.29172496497631073, "train_acc": 0.88, "val_loss": 0.1514987051486969, "val_acc": 0.98}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6509823799133301, "final_val_loss": 0.395503968000412, "initial_val_acc": 0.54, "final_val_acc": 0.82, "best_val_acc": 0.82}, "improved_stage": {"initial_val_loss": 0.12588907778263092, "final_val_loss": 0.1514987051486969, "initial_val_acc": 0.98, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 2}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
61
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2617, "learning_rate": 0.03671955834795707, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[26.356132, 27.067608, 27.846826, 36.861871, 163.572804], [20.729284, 21.081253, 21.148479, 22.423971, 126.140248], [18.470150, 19.237851, 19.251504, 23.376670, 61.912374], [18.695719, 18.859041, 20.309587, 20.696196, 75.880054], [31.283213, 32.064066, 32.541349, 34.418575, 206.259579], [17.127155, 17.563029, 19.010353, 21.046764, 102.864672], [26.644194, 26.885644, 27.847566, 28.531746, 212.372457]]
### 2
fourier: [[13.578941, 13.856908, 15.008518, 15.636020, 19.091963], [3.359112, 3.779322, 4.099856, 5.213250, 41.386661], [12.043407, 14.007900, 14.377020, 15.856485, 106.860883], [12.369625, 13.502470, 16.455806, 17.151523, 75.836554], [3.496919, 3.581569, 4.143643, 5.396143, 26.335012], [11.460421, 11.673557, 12.300287, 16.297078, 44.813307], [9.870688, 10.341766, 10.727356, 12.017711, 107.862044]]
### 4
fourier: [[4.655206, 4.983759, 5.081978, 5.696457, 6.277110], [7.284912, 9.023162, 9.894426, 10.102228, 33.372997], [5.109610, 5.622847, 6.948136, 7.701341, 12.327590], [6.382103, 6.491488, 6.760085, 7.079958, 116.378957], [7.872009, 8.644503, 9.741632, 10.444656, 15.097761], [4.649351, 4.784088, 4.798838, 5.647652, 43.459803], [14.554660, 17.943561, 19.403598, 21.027167, 55.097188]]
### 6
fourier: [[7.821585, 9.928734, 10.063263, 10.758605, 14.221079], [3.645759, 3.827756, 4.731476, 5.020664, 5.023371], [10.786883, 13.187474, 13.405480, 14.851041, 31.592567], [13.139446, 15.493194, 17.493614, 18.843966, 30.128789], [2.816001, 2.955431, 3.681752, 3.931857, 30.583384], [10.560151, 13.643480, 14.040517, 14.046541, 24.845284], [4.479192, 4.815457, 5.950560, 6.178031, 6.300908]]
### 8
fourier: [[8.289318, 8.866463, 10.220166, 12.025114, 17.408701], [7.097644, 8.149093, 8.572584, 10.119812, 21.272419], [3.618333, 3.808392, 4.407697, 5.764254, 39.121802], [10.496428, 12.879019, 13.053178, 13.936519, 38.604483], [10.307725, 12.627428, 12.798095, 14.213050, 38.205226], [12.597308, 15.407567, 15.666343, 16.106453, 38.468876], [9.185318, 9.691520, 10.871559, 12.136121, 13.618098]]
### 10
fourier: [[0.742255, 0.745409, 0.847315, 1.015153, 6.671167], [12.565351, 13.844674, 14.636667, 17.736091, 58.235317], [10.602498, 11.860813, 11.979562, 14.459096, 32.023072], [9.905691, 10.441536, 11.909581, 14.681033, 44.226821], [9.843810, 10.555993, 11.687628, 14.183322, 41.178002], [13.566663, 14.931150, 15.455972, 18.790951, 68.020175], [11.364754, 12.362493, 13.620331, 16.497421, 32.470769]]
### 12
fourier: [[19.730158, 20.661524, 23.158979, 28.539180, 79.908894]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.4.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.356132, 27.067608, 27.846826, 36.861871, 163.572804], [20.729284, 21.081253, 21.148479, 22.423971, 126.140248], [18.470150, 19.237851, 19.251504, 23.376670, 61.912374], [18.695719, 18.859041, 20.309587, 20.696196, 75.880054], [31.283213, 32.064066, 32.541349, 34.418575, 206.259579], [17.127155, 17.563029, 19.010353, 21.046764, 102.864672], [26.644194, 26.885644, 27.847566, 28.531746, 212.372457]]
### 2
fourier: [[13.578941, 13.856908, 15.008518, 15.636020, 19.091963], [3.359112, 3.779322, 4.099856, 5.213250, 41.386661], [12.043407, 14.007900, 14.377020, 15.856485, 106.860883], [12.369625, 13.502470, 16.455806, 17.151523, 75.836554], [3.496919, 3.581569, 4.143643, 5.396143, 26.335012], [11.460421, 11.673557, 12.300287, 16.297078, 44.813307], [9.870688, 10.341766, 10.727356, 12.017711, 107.862044]]
### 4
fourier: [[4.655206, 4.983759, 5.081978, 5.696457, 6.277110], [7.284912, 9.023162, 9.894426, 10.102228, 33.372997], [5.109610, 5.622847, 6.948136, 7.701341, 12.327590], [6.382103, 6.491488, 6.760085, 7.079958, 116.378957], [7.872009, 8.644503, 9.741632, 10.444656, 15.097761], [4.649351, 4.784088, 4.798838, 5.647652, 43.459803], [14.554660, 17.943561, 19.403598, 21.027167, 55.097188]]
### 6
fourier: [[7.821585, 9.928734, 10.063263, 10.758605, 14.221079], [3.645759, 3.827756, 4.731476, 5.020664, 5.023371], [10.786883, 13.187474, 13.405480, 14.851041, 31.592567], [13.139446, 15.493194, 17.493614, 18.843966, 30.128789], [2.816001, 2.955431, 3.681752, 3.931857, 30.583384], [10.560151, 13.643480, 14.040517, 14.046541, 24.845284], [4.479192, 4.815457, 5.950560, 6.178031, 6.300908]]
### 8
fourier: [[8.289318, 8.866463, 10.220166, 12.025114, 17.408701], [7.097644, 8.149093, 8.572584, 10.119812, 21.272419], [3.618333, 3.808392, 4.407697, 5.764254, 39.121802], [10.496428, 12.879019, 13.053178, 13.936519, 38.604483], [10.307725, 12.627428, 12.798095, 14.213050, 38.205226], [12.597308, 15.407567, 15.666343, 16.106453, 38.468876], [9.185318, 9.691520, 10.871559, 12.136121, 13.618098]]
### 10
fourier: [[0.742255, 0.745409, 0.847315, 1.015153, 6.671167], [12.565351, 13.844674, 14.636667, 17.736091, 58.235317], [10.602498, 11.860813, 11.979562, 14.459096, 32.023072], [9.905691, 10.441536, 11.909581, 14.681033, 44.226821], [9.843810, 10.555993, 11.687628, 14.183322, 41.178002], [13.566663, 14.931150, 15.455972, 18.790951, 68.020175], [11.364754, 12.362493, 13.620331, 16.497421, 32.470769]]
### 12
fourier: [[19.730158, 20.661524, 23.158979, 28.539180, 79.908894]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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8.572584304663572, 10.119811718749315, 21.272419173270464]}, "2": {"fourier": [3.6183328616357913, 3.808392165853561, 4.407697442542419, 5.764253608760047, 39.12180173397064]}, "3": {"fourier": [10.49642775011501, 12.879019218027961, 13.053177970890982, 13.936518523811243, 38.604482874274254]}, "4": {"fourier": [10.307725358729678, 12.627427645114398, 12.79809509372271, 14.21305020802616, 38.20522563159466]}, "5": {"fourier": [12.597308420896828, 15.407567292469764, 15.66634322114349, 16.106452834188232, 38.468876257538795]}, "6": {"fourier": [9.185317625947558, 9.691519832801463, 10.87155892313179, 12.1361212997952, 13.61809843295444]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [0.7422553553467625, 0.7454092833923825, 0.8473145265421891, 1.0151528240522971, 6.671166963875294]}, "1": {"fourier": [12.565351263444596, 13.844674178515154, 14.636667423838226, 17.736091139615475, 58.23531664907932]}, "2": {"fourier": [10.602498288120676, 11.860813257074058, 11.979561752689333, 14.459095835040651, 32.02307207137346]}, "3": {"fourier": [9.905691160773793, 10.441535986110546, 11.909580794436545, 14.68103271279104, 44.226821180433035]}, "4": {"fourier": [9.843810485219251, 10.555993224502924, 11.687627502297492, 14.183322344675771, 41.178001798689365]}, "5": {"fourier": [13.566662900031144, 14.931150282691558, 15.455971698669963, 18.790951050335856, 68.02017452567816]}, "6": {"fourier": [11.36475385979022, 12.362492804548932, 13.620330570377796, 16.497421272477734, 32.47076888382435]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [19.730157720563035, 20.661524133813803, 23.158979219213432, 28.5391798992206, 79.9088935367763]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.275568, -0.431853, -0.459729, 0.18851, -0.149696], [-0.202676, 0.093237, 0.022702, -0.489778, -0.326897], [0.476122, 0.065697, -0.0239, -0.149721, 0.117069], [-0.156361, 0.266592, 0.125998, 0.354005, -0.43911], [-0.060193, -0.107051, 0.391257, 0.666173, 0.530016], [0.351417, -0.199097, 0.3172, 0.208923, -0.362296], [-0.430761, -0.181038, -0.446761, -0.137285, 0.089534]], "network.0.bias": [0.053084, 0.086813, 0.2023, 0.071132, -0.337799, 0.404635, -0.376536], "network.2.weight": [[0.112177, 0.101677, 0.026144, -0.166167, 0.428104, -0.55437, -0.065682], [0.044991, 0.028575, -0.183619, -0.119375, -0.068202, 0.032661, 0.021958], [-0.177647, -0.391822, -0.115635, 0.175635, -0.383924, -0.15376, -0.167846], [0.373049, 1.8e-05, -0.486248, 0.483511, 0.148727, 0.045174, 0.225903], [0.141578, -0.208301, -0.177487, -0.076462, -0.096098, 0.188763, -0.050119], [0.093352, -0.059003, 0.452231, -0.356002, 0.002608, 0.120626, -0.417647], [-0.15693, -0.101143, -0.183426, 0.396825, 0.067013, 0.35427, 0.064807]], "network.2.bias": [-0.161449, -0.102719, -0.254824, 0.360657, -0.101664, 0.355643, 0.401955], "network.4.weight": [[0.311303, 0.190892, 0.067039, 0.165535, 0.121586, 0.005085, -0.288252], [0.480498, -0.159057, -0.214754, -0.181463, 0.167147, 0.229035, -0.132107], [0.047979, -0.163388, 0.133952, -0.106725, -0.30471, 0.378309, -0.102251], [0.428159, -0.399606, -0.460625, 0.104335, -0.569834, 0.318027, 0.25158], [0.439716, -0.021881, -0.042909, -0.222004, -0.187251, 0.312606, 0.003612], [0.303642, -0.367668, -0.085015, 0.119565, -0.478136, -0.046847, -0.220122], [-0.611914, -0.403422, -0.26178, 0.460553, -0.134963, -0.490309, 0.470309]], "network.4.bias": [0.213467, 0.404969, -0.165275, 0.52776, 0.061637, 0.469837, 0.021795], "network.6.weight": [[0.092293, 0.160348, 0.279143, 0.078399, -0.087914, 0.299778, -0.480859], [-0.211034, -0.245824, 0.068939, -0.122617, 0.046491, 0.115852, 0.186096], [0.005365, -0.45359, -0.172314, 0.253623, -0.453865, -0.253972, 0.474452], [0.376144, 0.236801, -0.05979, 0.28668, 0.679798, 0.469496, -0.473079], [0.039882, -0.047603, 0.537104, -0.196984, 0.274334, -0.446263, -0.04861], [-0.335077, -0.556356, -0.139447, 0.021915, -0.640289, 0.191352, 0.320227], [-0.048514, -0.397522, -0.12477, 0.126045, -0.237122, -0.066626, 0.092595]], "network.6.bias": [0.2391, 0.095852, 0.046538, -0.068417, 0.052203, 0.273306, 0.006188], "network.8.weight": [[0.37922, -0.345808, 0.07296, 0.524608, -0.2161, -0.243156, 0.258352], [0.594103, 0.3855, -0.106298, 0.366216, 0.320714, -0.070569, 0.060677], [0.191749, 0.049933, 0.03641, 0.37546, -0.098611, 0.189426, -0.076858], [0.20148, -0.270824, -0.227705, 0.445795, 0.187921, -0.290756, -0.317817], [0.51719, -0.282195, -0.261461, 0.409784, -0.071579, -0.015422, -0.504611], [0.455228, -0.211996, -0.236408, 0.374147, -0.122786, -0.608685, -0.141741], [0.331236, 0.323233, -0.506876, -0.016725, 0.245579, -0.629585, -0.277333]], "network.8.bias": [-0.058787, 0.058576, 0.167907, 0.438747, 0.295132, 0.475391, 0.349106], "network.10.weight": [[-0.145202, -0.128573, 0.567162, 0.005406, 0.053819, -0.138177, 0.307937], [0.195058, 0.232072, -0.124245, 0.496721, 0.346616, 0.106251, 0.528812], [0.216238, -0.379072, 0.193108, -0.165265, -0.438494, -0.341293, -0.449583], [0.605646, 0.043942, 0.207651, -0.102804, -0.026614, 0.555131, 0.248944], [0.581448, -0.016322, -0.152551, 0.232841, 0.011156, 0.396525, 0.203869], [-0.084314, 0.132117, 0.056806, 0.540973, 0.174832, 0.513889, 0.47591], [-0.27284, -0.382902, 0.078386, -0.293214, -0.159095, -0.340774, -0.172475]], "network.10.bias": [-0.050242, 0.13173, 0.086274, 0.061287, 0.082039, 0.129992, 0.112264], "network.12.weight": [[-0.018893, -0.551729, 0.203017, -0.273421, -0.39393, -0.484983, 0.276046]], "network.12.bias": [0.043165]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6927118003368378, "train_acc": 0.525, "val_loss": 0.6982707381248474, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819286942481995, "train_acc": 0.565, "val_loss": 0.7119888067245483, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6825820207595825, "train_acc": 0.565, "val_loss": 0.6820877194404602, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.636530190706253, "train_acc": 0.565, "val_loss": 0.6259915828704834, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.558775007724762, "train_acc": 0.545, "val_loss": 0.5343464016914368, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4566689431667328, "train_acc": 0.83, "val_loss": 0.5775985717773438, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4139506369829178, "train_acc": 0.815, "val_loss": 0.4893272817134857, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3533836454153061, "train_acc": 0.845, "val_loss": 0.5529687404632568, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3554372936487198, "train_acc": 0.865, "val_loss": 0.5107287764549255, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.36836275458335876, "train_acc": 0.86, "val_loss": 0.523166835308075, "val_acc": 0.76}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6982707381248474, "final_val_loss": 0.6259915828704834, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5343464016914368, "final_val_loss": 0.523166835308075, "initial_val_acc": 0.8, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 4}, "improvement": 0.30000000000000004, "first_improvement_epoch": 3}}
|
62
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.82, "improved_accuracy": 1.0, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7357, "learning_rate": 0.03138819499583542, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-1.037875
],
[
-1.09145,
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[
-0.643093,
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0.05981,
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],
[
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1.049206
]
],
"network.0.bias": [
-0.356526,
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],
"network.2.weight": [
[
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],
[
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
0.01932,
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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"network.6.bias": [
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[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[28.921078, 29.045268, 29.984188, 35.202399, 277.402181], [19.183977, 19.754510, 21.429000, 29.878600, 176.528196], [39.313511, 42.667649, 43.840142, 48.139451, 188.541780], [33.492191, 34.390957, 36.226054, 39.781874, 40.207265], [31.797046, 32.291200, 32.690742, 34.794880, 105.969499], [41.333232, 41.969033, 51.739044, 53.439898, 140.585176]]
### 2
fourier: [[13.878144, 15.284820, 17.935381, 18.736292, 86.693962], [9.793485, 10.898506, 11.866534, 13.548311, 129.768543], [17.564012, 19.733026, 22.425912, 22.826115, 92.957489], [39.432857, 42.363750, 52.376333, 64.836693, 255.438524], [38.586319, 41.900988, 52.388084, 63.482507, 252.507564], [42.152509, 43.909354, 49.031534, 65.795012, 79.363607]]
### 4
fourier: [[42.236411, 44.795944, 55.716523, 68.296284, 178.838369], [58.666389, 63.326907, 76.773659, 94.441983, 244.193045], [26.759265, 29.036110, 36.101582, 44.326286, 235.958203], [15.415436, 16.704995, 18.498287, 22.188259, 68.054726], [6.346021, 6.663235, 7.958929, 9.241384, 51.514782], [3.209837, 3.395963, 4.133506, 5.081732, 28.515739]]
### 6
fourier: [[2.102424, 2.300987, 2.519427, 2.798118, 5.719513], [4.471460, 4.565481, 4.937214, 5.255731, 6.035896], [3.625041, 3.908714, 3.999145, 4.143300, 4.796505], [6.241363, 6.402309, 6.931683, 7.386505, 8.455488], [6.769340, 7.304355, 7.671265, 8.856379, 9.344819], [2.909225, 3.131463, 3.269179, 3.798014, 34.378631]]
### 8
fourier: [[9.560180, 10.241747, 11.043399, 12.355287, 56.888106]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.11614,
-0.250507,
-0.445288,
-0.3068,
-0.435114
],
[
-0.00562,
-0.32427,
-0.511648,
0.031518,
-0.134372
],
[
0.34015,
0.603065,
0.448244,
0.305155,
-1.037875
],
[
-1.09145,
0.14469,
0.328728,
-0.060738,
0.32826
],
[
-0.643093,
0.157666,
-0.034229,
0.05981,
0.943456
],
[
0.609203,
-0.079659,
-0.059556,
-0.067657,
1.049206
]
],
"network.0.bias": [
-0.356526,
-0.196628,
0.262018,
0.446136,
0.470077,
-0.075435
],
"network.2.weight": [
[
0.23847,
-0.024458,
-0.004632,
0.089338,
0.023578,
-0.38155
],
[
0.194648,
-0.159658,
-0.234014,
-0.391294,
-0.019993,
-0.172686
],
[
-0.161436,
0.261408,
-0.058864,
0.117668,
-0.050035,
-0.447973
],
[
0.259314,
0.034992,
-0.006107,
0.213993,
0.867428,
0.700056
],
[
-0.118303,
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-0.071055,
0.504373,
0.381538,
0.926061
],
[
0.042316,
-0.376331,
0.414463,
-0.299179,
-0.535987,
-0.758996
]
],
"network.2.bias": [
-0.410269,
-0.167197,
-0.156062,
0.172914,
0.318164,
0.513461
],
"network.4.weight": [
[
-0.219986,
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-0.471238,
-0.533484,
0.467329
],
[
0.001494,
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0.24814,
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-0.507015,
0.772941
],
[
-0.067091,
0.137053,
0.392992,
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-0.323004
],
[
0.01932,
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0.432571
],
[
0.259457,
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0.081469,
0.113217,
-0.248625,
0.09633
],
[
-0.022813,
0.230785,
0.014292,
-0.056019,
-0.032162,
-0.071457
]
],
"network.4.bias": [
0.585512,
0.721034,
-0.372501,
-0.176489,
-0.250095,
-0.027609
],
"network.6.weight": [
[
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],
[
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0.027469,
0.136411,
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],
[
0.145633,
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0.041769,
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0.1788
],
[
0.543726,
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0.38192,
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0.28223
],
[
0.887781,
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0.124096,
0.067102
],
[
-0.376759,
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0.005486,
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0.221519
]
],
"network.6.bias": [
-0.015541,
-0.08656,
-0.036534,
-0.089986,
-0.045446,
-0.318165
],
"network.8.weight": [
[
-0.029333,
0.761696,
0.046337,
0.361683,
0.591045,
0.152929
]
],
"network.8.bias": [
-0.826147
]
}
## Activation Signature
### 0
fourier: [[28.921078, 29.045268, 29.984188, 35.202399, 277.402181], [19.183977, 19.754510, 21.429000, 29.878600, 176.528196], [39.313511, 42.667649, 43.840142, 48.139451, 188.541780], [33.492191, 34.390957, 36.226054, 39.781874, 40.207265], [31.797046, 32.291200, 32.690742, 34.794880, 105.969499], [41.333232, 41.969033, 51.739044, 53.439898, 140.585176]]
### 2
fourier: [[13.878144, 15.284820, 17.935381, 18.736292, 86.693962], [9.793485, 10.898506, 11.866534, 13.548311, 129.768543], [17.564012, 19.733026, 22.425912, 22.826115, 92.957489], [39.432857, 42.363750, 52.376333, 64.836693, 255.438524], [38.586319, 41.900988, 52.388084, 63.482507, 252.507564], [42.152509, 43.909354, 49.031534, 65.795012, 79.363607]]
### 4
fourier: [[42.236411, 44.795944, 55.716523, 68.296284, 178.838369], [58.666389, 63.326907, 76.773659, 94.441983, 244.193045], [26.759265, 29.036110, 36.101582, 44.326286, 235.958203], [15.415436, 16.704995, 18.498287, 22.188259, 68.054726], [6.346021, 6.663235, 7.958929, 9.241384, 51.514782], [3.209837, 3.395963, 4.133506, 5.081732, 28.515739]]
### 6
fourier: [[2.102424, 2.300987, 2.519427, 2.798118, 5.719513], [4.471460, 4.565481, 4.937214, 5.255731, 6.035896], [3.625041, 3.908714, 3.999145, 4.143300, 4.796505], [6.241363, 6.402309, 6.931683, 7.386505, 8.455488], [6.769340, 7.304355, 7.671265, 8.856379, 9.344819], [2.909225, 3.131463, 3.269179, 3.798014, 34.378631]]
### 8
fourier: [[9.560180, 10.241747, 11.043399, 12.355287, 56.888106]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.11614, -0.250507, -0.445288, -0.3068, -0.435114], [-0.00562, -0.32427, -0.511648, 0.031518, -0.134372], [0.34015, 0.603065, 0.448244, 0.305155, -1.037875], [-1.09145, 0.14469, 0.328728, -0.060738, 0.32826], [-0.643093, 0.157666, -0.034229, 0.05981, 0.943456], [0.609203, -0.079659, -0.059556, -0.067657, 1.049206]], "network.0.bias": [-0.356526, -0.196628, 0.262018, 0.446136, 0.470077, -0.075435], "network.2.weight": [[0.23847, -0.024458, -0.004632, 0.089338, 0.023578, -0.38155], [0.194648, -0.159658, -0.234014, -0.391294, -0.019993, -0.172686], [-0.161436, 0.261408, -0.058864, 0.117668, -0.050035, -0.447973], [0.259314, 0.034992, -0.006107, 0.213993, 0.867428, 0.700056], [-0.118303, -0.261252, -0.071055, 0.504373, 0.381538, 0.926061], [0.042316, -0.376331, 0.414463, -0.299179, -0.535987, -0.758996]], "network.2.bias": [-0.410269, -0.167197, -0.156062, 0.172914, 0.318164, 0.513461], "network.4.weight": [[-0.219986, -0.154446, -0.182919, -0.471238, -0.533484, 0.467329], [0.001494, -0.331205, 0.24814, -0.861288, -0.507015, 0.772941], [-0.067091, 0.137053, 0.392992, -0.326614, -0.406834, -0.323004], [0.01932, -0.067429, -0.391613, -0.00476, -0.288111, 0.432571], [0.259457, -0.331328, 0.081469, 0.113217, -0.248625, 0.09633], [-0.022813, 0.230785, 0.014292, -0.056019, -0.032162, -0.071457]], "network.4.bias": [0.585512, 0.721034, -0.372501, -0.176489, -0.250095, -0.027609], "network.6.weight": [[-0.233457, -0.149108, -0.398497, -0.22763, -0.321458, 0.168744], [0.311495, 0.585527, 0.027469, 0.136411, -0.238407, -0.284849], [0.145633, 0.557491, -0.082874, 0.041769, -0.373056, 0.1788], [0.543726, 0.732544, 0.38192, 0.237159, -0.164292, 0.28223], [0.887781, 0.621324, -0.194442, 0.093654, 0.124096, 0.067102], [-0.376759, -0.286857, -0.325317, 0.005486, -0.260424, 0.221519]], "network.6.bias": [-0.015541, -0.08656, -0.036534, -0.089986, -0.045446, -0.318165], "network.8.weight": [[-0.029333, 0.761696, 0.046337, 0.361683, 0.591045, 0.152929]], "network.8.bias": [-0.826147]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865295767784119, "train_acc": 0.555, "val_loss": 0.6825147271156311, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6877035200595856, "train_acc": 0.555, "val_loss": 0.6755610704421997, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6746537685394287, "train_acc": 0.555, "val_loss": 0.6557636857032776, "val_acc": 0.64}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6575283706188202, "train_acc": 0.685, "val_loss": 0.6130054593086243, "val_acc": 0.82}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6125596761703491, "train_acc": 0.805, "val_loss": 0.5484858155250549, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5634981691837311, "train_acc": 0.83, "val_loss": 0.475636750459671, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5244234949350357, "train_acc": 0.855, "val_loss": 0.44384536147117615, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5003827810287476, "train_acc": 0.885, "val_loss": 0.431273877620697, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.458233579993248, "train_acc": 0.895, "val_loss": 0.39203599095344543, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.43874701857566833, "train_acc": 0.895, "val_loss": 0.36036217212677, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3916137367486954, "train_acc": 0.91, "val_loss": 0.33832797408103943, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3677903860807419, "train_acc": 0.93, "val_loss": 0.2990569770336151, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.29289375245571136, "train_acc": 0.94, "val_loss": 0.2846006453037262, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.24825111031532288, "train_acc": 0.99, "val_loss": 0.24208573997020721, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6825147271156311, "final_val_loss": 0.6130054593086243, "initial_val_acc": 0.56, "final_val_acc": 0.82, "best_val_acc": 0.82}, "improved_stage": {"initial_val_loss": 0.5484858155250549, "final_val_loss": 0.24208573997020721, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 1.0, "best_epoch": 12}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
63
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.42, "improved_accuracy": 0.88, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4610, "learning_rate": 0.08295789265197352, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.159599,
0.261064,
0.034527,
-0.596804,
-0.697766
],
[
-1.34453,
-1.284193,
-0.461355,
0.327499,
-0.025017
],
[
-0.594964,
0.602642,
0.422038,
0.333132,
-1.132161
],
[
0.683958,
0.052711,
-0.135268,
0.576861,
1.091246
],
[
-0.799935,
-0.357102,
-0.064195,
-0.128226,
0.699524
]
],
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}
## Activation Signature
### 0
fourier: [[28.626917, 30.589704, 31.220947, 31.569649, 155.806993], [71.317768, 72.108612, 75.027894, 77.240615, 448.710050], [41.016926, 47.096837, 50.090639, 51.373397, 87.934951], [43.362555, 55.219070, 59.029320, 60.442187, 281.132577], [36.952226, 37.453059, 37.541460, 38.591367, 121.231135]]
### 2
fourier: [[19.996537, 22.758817, 25.661266, 26.439703, 42.669360], [21.124568, 22.883487, 24.091185, 28.857385, 158.010437], [34.619212, 39.020684, 43.073541, 47.390264, 223.794808], [52.748465, 55.574296, 64.314136, 71.601854, 137.177800], [23.678126, 25.437817, 25.660729, 32.527531, 226.086914]]
### 4
fourier: [[38.243020, 44.891298, 47.307613, 53.765007, 142.157412], [22.458946, 25.156553, 26.107807, 31.684006, 230.448658], [62.187051, 62.957262, 81.488650, 84.434532, 237.962048], [43.413599, 44.063466, 56.953069, 58.576102, 167.094156], [28.825530, 34.753023, 36.064813, 41.049492, 144.072892]]
### 6
fourier: [[21.532937, 21.866963, 22.942718, 27.134590, 29.188706], [59.606387, 59.840380, 75.352604, 81.406469, 179.768653], [54.044362, 54.833869, 67.636211, 74.565673, 151.122023], [56.202180, 56.259796, 71.530360, 76.457732, 152.880521], [34.430820, 35.035513, 45.323415, 46.239831, 219.504597]]
### 8
fourier: [[75.041645, 75.352847, 98.729004, 102.720090, 207.871500], [135.318882, 137.238090, 179.543089, 182.187321, 469.303817], [71.570032, 72.128246, 94.415525, 98.251053, 204.431256], [126.395498, 128.000683, 167.701432, 171.061875, 439.174092], [120.344305, 121.352831, 158.596643, 163.640027, 396.816877]]
### 10
fourier: [[95.631522, 97.143945, 126.496791, 129.387806, 291.507519]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[28.626917, 30.589704, 31.220947, 31.569649, 155.806993], [71.317768, 72.108612, 75.027894, 77.240615, 448.710050], [41.016926, 47.096837, 50.090639, 51.373397, 87.934951], [43.362555, 55.219070, 59.029320, 60.442187, 281.132577], [36.952226, 37.453059, 37.541460, 38.591367, 121.231135]]
### 2
fourier: [[19.996537, 22.758817, 25.661266, 26.439703, 42.669360], [21.124568, 22.883487, 24.091185, 28.857385, 158.010437], [34.619212, 39.020684, 43.073541, 47.390264, 223.794808], [52.748465, 55.574296, 64.314136, 71.601854, 137.177800], [23.678126, 25.437817, 25.660729, 32.527531, 226.086914]]
### 4
fourier: [[38.243020, 44.891298, 47.307613, 53.765007, 142.157412], [22.458946, 25.156553, 26.107807, 31.684006, 230.448658], [62.187051, 62.957262, 81.488650, 84.434532, 237.962048], [43.413599, 44.063466, 56.953069, 58.576102, 167.094156], [28.825530, 34.753023, 36.064813, 41.049492, 144.072892]]
### 6
fourier: [[21.532937, 21.866963, 22.942718, 27.134590, 29.188706], [59.606387, 59.840380, 75.352604, 81.406469, 179.768653], [54.044362, 54.833869, 67.636211, 74.565673, 151.122023], [56.202180, 56.259796, 71.530360, 76.457732, 152.880521], [34.430820, 35.035513, 45.323415, 46.239831, 219.504597]]
### 8
fourier: [[75.041645, 75.352847, 98.729004, 102.720090, 207.871500], [135.318882, 137.238090, 179.543089, 182.187321, 469.303817], [71.570032, 72.128246, 94.415525, 98.251053, 204.431256], [126.395498, 128.000683, 167.701432, 171.061875, 439.174092], [120.344305, 121.352831, 158.596643, 163.640027, 396.816877]]
### 10
fourier: [[95.631522, 97.143945, 126.496791, 129.387806, 291.507519]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.159599, 0.261064, 0.034527, -0.596804, -0.697766], [-1.34453, -1.284193, -0.461355, 0.327499, -0.025017], [-0.594964, 0.602642, 0.422038, 0.333132, -1.132161], [0.683958, 0.052711, -0.135268, 0.576861, 1.091246], [-0.799935, -0.357102, -0.064195, -0.128226, 0.699524]], "network.0.bias": [-0.33725, -0.680119, 0.419666, -0.12386, -0.154495], "network.2.weight": [[-0.518942, -0.016481, -0.119109, 0.362588, 0.266079], [0.026241, 0.113953, 0.432695, 0.427021, 0.60182], [0.71551, 0.416479, -0.091455, 0.721984, -0.062244], [0.21212, 0.039488, -0.799173, 0.788193, 0.309042], [-0.313648, -0.000158, -0.525872, -0.514257, -0.383047]], "network.2.bias": [-0.513361, -0.366966, 0.379263, 0.254408, -0.00451], "network.4.weight": [[-0.739414, -1.107011, 0.475577, -0.493462, -0.958875], [0.947601, -0.090508, -0.873885, -0.139565, 0.010815], [0.186599, -0.014403, 0.444886, 0.976859, -0.186713], [-0.148956, 0.09357, 0.230781, 0.808365, 0.577316], [-0.252701, -1.082573, 0.573559, -0.56287, -0.993016]], "network.4.bias": [0.560911, -0.569744, -0.505259, -0.380633, 0.103446], "network.6.weight": [[0.277317, 0.117918, 0.199859, 0.229396, 0.634612], [-0.979949, 0.508583, 0.58381, 0.479833, -0.628553], [-1.086499, 0.866824, 0.486069, 0.47823, -0.833491], [-0.810254, 0.6383, 0.727002, 0.206001, -0.348098], [-0.057734, 0.542886, -0.418808, -0.223465, -0.470895]], "network.6.bias": [-0.896528, -0.383978, -0.40512, -0.558599, -0.84645], "network.8.weight": [[-1.015055, 0.167873, -0.815951, -0.561881, -0.192114], [0.509877, 0.635431, 0.89575, 0.966706, 0.906271], [-0.991801, -0.219884, -0.222261, -0.651549, -0.303452], [0.749691, 0.823751, 0.720883, 0.691844, 0.328086], [-0.993815, -0.03447, -0.689497, -1.381248, 0.170777]], "network.8.bias": [0.542245, -0.171855, 0.433875, -0.185743, 0.353601], "network.10.weight": [[-0.327273, -0.347911, 0.386894, -0.402825, 0.016537]], "network.10.bias": [0.707753]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6874214112758636, "train_acc": 0.49, "val_loss": 0.7716602087020874, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6667619347572327, "train_acc": 0.6, "val_loss": 0.768913209438324, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6288769841194153, "train_acc": 0.6, "val_loss": 0.6531968116760254, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5309734344482422, "train_acc": 0.52, "val_loss": 0.6137872934341431, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.47944197058677673, "train_acc": 0.745, "val_loss": 0.5573084354400635, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4842235743999481, "train_acc": 0.785, "val_loss": 0.5226070284843445, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.41874752938747406, "train_acc": 0.815, "val_loss": 0.4261447787284851, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3944953829050064, "train_acc": 0.825, "val_loss": 0.4489955008029938, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.43438245356082916, "train_acc": 0.805, "val_loss": 0.3915998041629791, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.409981906414032, "train_acc": 0.835, "val_loss": 0.47000473737716675, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3977848291397095, "train_acc": 0.825, "val_loss": 0.40352728962898254, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.36125412583351135, "train_acc": 0.845, "val_loss": 0.3687097132205963, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.37859977781772614, "train_acc": 0.84, "val_loss": 0.36840203404426575, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7716602087020874, "final_val_loss": 0.6531968116760254, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6137872934341431, "final_val_loss": 0.36840203404426575, "initial_val_acc": 0.66, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 11}, "improvement": 0.46, "first_improvement_epoch": 2}}
|
64
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.048065341110050036, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[29.443166, 30.117082, 32.665026, 34.608416, 85.505150], [21.495882, 23.948268, 24.315087, 24.676860, 63.285317], [24.210046, 24.887051, 25.452172, 27.133830, 33.761516], [15.794900, 15.901050, 15.926315, 16.098659, 130.290652], [9.923793, 10.073038, 10.868733, 10.959029, 63.637261], [28.107591, 29.481977, 33.645387, 38.655560, 116.329943], [29.268529, 32.073094, 33.401677, 35.252518, 64.196898]]
### 2
fourier: [[32.598013, 33.566934, 36.188136, 42.261096, 123.424278], [22.635804, 24.807837, 25.507449, 29.477785, 100.523604], [25.362237, 25.398267, 26.859136, 27.930541, 125.394850], [11.559300, 11.658296, 13.866117, 16.505634, 52.514317], [10.702123, 12.053768, 13.336063, 14.240801, 41.325567], [10.128706, 10.278435, 10.319708, 12.117302, 72.672176], [5.372972, 5.618567, 6.302090, 7.555306, 9.354306]]
### 4
fourier: [[19.660355, 20.558740, 21.900784, 26.000294, 100.812353], [27.827714, 29.414022, 31.422898, 37.953005, 178.524322], [56.930384, 59.237487, 63.038057, 76.558144, 325.526581], [9.489136, 10.396877, 10.643085, 12.713740, 70.925492], [12.746671, 13.182078, 14.247474, 14.638621, 125.481729], [13.962969, 14.245566, 15.278371, 17.715336, 113.756511], [7.958274, 8.627417, 8.696259, 9.366904, 83.548600]]
### 6
fourier: [[46.459668, 47.710020, 52.778317, 61.025130, 293.169755], [64.425918, 67.547176, 74.049342, 87.024136, 395.439253], [50.509607, 51.684109, 55.988962, 67.075394, 285.053351], [32.521520, 32.612137, 36.542584, 41.832570, 219.958087], [65.452954, 67.958278, 74.187678, 87.913450, 394.337892], [23.805766, 24.231136, 26.315894, 31.638849, 173.535136], [33.428015, 33.840203, 35.982881, 43.624364, 70.982500]]
### 8
fourier: [[187.494873, 198.208228, 214.704507, 251.899302, 1132.779737], [66.372471, 73.000833, 76.134480, 88.739168, 300.123995], [9.350403, 10.397849, 11.012921, 11.439429, 14.574146], [12.636589, 13.833434, 14.017959, 16.093542, 118.049591], [14.626421, 16.126157, 16.177116, 19.143440, 68.923774], [59.510647, 65.346652, 67.905947, 79.307215, 246.272627], [33.665594, 36.478734, 37.984278, 44.585831, 133.189867]]
### 10
fourier: [[124.283570, 135.160610, 142.133970, 164.273135, 648.319874]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
0.022778,
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],
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[29.443166, 30.117082, 32.665026, 34.608416, 85.505150], [21.495882, 23.948268, 24.315087, 24.676860, 63.285317], [24.210046, 24.887051, 25.452172, 27.133830, 33.761516], [15.794900, 15.901050, 15.926315, 16.098659, 130.290652], [9.923793, 10.073038, 10.868733, 10.959029, 63.637261], [28.107591, 29.481977, 33.645387, 38.655560, 116.329943], [29.268529, 32.073094, 33.401677, 35.252518, 64.196898]]
### 2
fourier: [[32.598013, 33.566934, 36.188136, 42.261096, 123.424278], [22.635804, 24.807837, 25.507449, 29.477785, 100.523604], [25.362237, 25.398267, 26.859136, 27.930541, 125.394850], [11.559300, 11.658296, 13.866117, 16.505634, 52.514317], [10.702123, 12.053768, 13.336063, 14.240801, 41.325567], [10.128706, 10.278435, 10.319708, 12.117302, 72.672176], [5.372972, 5.618567, 6.302090, 7.555306, 9.354306]]
### 4
fourier: [[19.660355, 20.558740, 21.900784, 26.000294, 100.812353], [27.827714, 29.414022, 31.422898, 37.953005, 178.524322], [56.930384, 59.237487, 63.038057, 76.558144, 325.526581], [9.489136, 10.396877, 10.643085, 12.713740, 70.925492], [12.746671, 13.182078, 14.247474, 14.638621, 125.481729], [13.962969, 14.245566, 15.278371, 17.715336, 113.756511], [7.958274, 8.627417, 8.696259, 9.366904, 83.548600]]
### 6
fourier: [[46.459668, 47.710020, 52.778317, 61.025130, 293.169755], [64.425918, 67.547176, 74.049342, 87.024136, 395.439253], [50.509607, 51.684109, 55.988962, 67.075394, 285.053351], [32.521520, 32.612137, 36.542584, 41.832570, 219.958087], [65.452954, 67.958278, 74.187678, 87.913450, 394.337892], [23.805766, 24.231136, 26.315894, 31.638849, 173.535136], [33.428015, 33.840203, 35.982881, 43.624364, 70.982500]]
### 8
fourier: [[187.494873, 198.208228, 214.704507, 251.899302, 1132.779737], [66.372471, 73.000833, 76.134480, 88.739168, 300.123995], [9.350403, 10.397849, 11.012921, 11.439429, 14.574146], [12.636589, 13.833434, 14.017959, 16.093542, 118.049591], [14.626421, 16.126157, 16.177116, 19.143440, 68.923774], [59.510647, 65.346652, 67.905947, 79.307215, 246.272627], [33.665594, 36.478734, 37.984278, 44.585831, 133.189867]]
### 10
fourier: [[124.283570, 135.160610, 142.133970, 164.273135, 648.319874]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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21.90078399054903, 26.000294012799774, 100.81235328316689]}, "1": {"fourier": [27.82771400668084, 29.41402151279382, 31.422898153150317, 37.95300487619871, 178.52432245761156]}, "2": {"fourier": [56.93038448642645, 59.23748742708225, 63.038056847320455, 76.55814449356966, 325.52658146619797]}, "3": {"fourier": [9.489135663680143, 10.396876670875647, 10.643085450175716, 12.713740487700118, 70.92549163103104]}, "4": {"fourier": [12.746670986003215, 13.182078181206418, 14.247474302998365, 14.63862128348664, 125.48172855377197]}, "5": {"fourier": [13.962969069778163, 14.245565631370445, 15.278371356027417, 17.71533623889477, 113.7565111219883]}, "6": {"fourier": [7.958273923838754, 8.627417045952704, 8.696258847822094, 9.366904342612804, 83.54859960079193]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [46.45966794670348, 47.710019884736546, 52.778317495511125, 61.02513016934321, 293.1697554588318]}, "1": 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"sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.84486, -0.023263, 0.474831, 0.245704, 0.262518], [-0.448148, -0.060693, 0.253164, 0.36407, 0.438044], [-0.556045, -0.166859, -0.213139, 0.299198, 0.342119], [-0.037441, -0.420104, -0.136029, 0.04773, -0.014256], [0.160707, 0.08617, 0.148334, 0.07142, -0.129448], [0.737991, -0.061038, 0.030322, 0.169587, 0.295084], [0.337405, -0.65712, 0.035459, -0.302039, 0.546143]], "network.0.bias": [0.201288, -0.478351, 0.076196, -0.436181, 0.04671, -0.305556, -0.035701], "network.2.weight": [[0.865365, 0.216492, 0.54185, 0.267326, 0.101247, -0.651378, 0.495818], [0.880098, 0.047807, 0.4854, 0.090696, -0.03205, -0.180383, 0.413179], [0.144629, 0.59104, 0.796239, -0.274594, -0.208784, -0.245762, 1.002809], [0.248783, 0.210382, 0.396612, 0.034462, 0.115487, -0.137776, 0.139385], [-0.073549, -0.028982, -0.263089, 0.005799, 0.090344, 0.386882, -0.53698], [-0.264695, 0.155927, 0.13234, -0.27567, -0.339392, -0.281827, -0.078549], [-0.203886, 0.414186, -0.246092, 0.277841, -0.099955, 0.107736, -0.40381]], "network.2.bias": [0.390801, -0.196565, 0.374736, -0.084285, 0.308798, -0.022254, 0.139496], "network.4.weight": [[-0.370552, -0.379779, -0.224828, 0.045205, -0.097868, -0.023996, 0.101136], [0.578568, 0.009106, 0.667399, 0.021706, -0.130361, 0.234572, -0.290407], [0.955663, 0.712006, 0.67796, 0.493903, -0.197288, 0.027074, -0.358573], [-0.38489, -0.086891, 0.302572, 0.37055, 0.571339, 0.364208, 0.312384], [-0.250586, 0.075758, -0.49615, 0.167846, -0.095203, -0.329156, -0.151255], [-0.325122, -0.388085, 0.050131, 0.059894, -0.002361, -0.273348, -0.263775], [0.156818, -0.241173, -0.363797, 0.219344, 0.026992, 0.19429, -0.075716]], "network.4.bias": [0.331571, 0.089986, -0.082022, 0.515892, -0.353707, -0.285965, -0.489279], "network.6.weight": [[-0.3659, 0.543853, 0.589281, 0.253691, -0.188627, -0.011889, -0.23239], [-0.369537, 0.661705, 0.863722, 0.043111, -0.025648, 0.42934, 0.019941], [-0.354525, 0.18269, 0.788539, -0.320473, 0.03278, -0.116496, 0.101546], [0.097827, 0.205219, 0.506633, 0.320409, 0.290858, 0.524568, -0.164898], [-0.260504, 0.631547, 0.871363, -0.146602, 0.097236, -0.088081, 0.062719], [0.022778, 0.021659, -0.428126, 0.139443, 0.110742, -0.303668, -0.349721], [0.257358, -0.396483, -0.321347, 0.702566, 0.095432, -0.369518, -0.086106]], "network.6.bias": [-0.235705, -0.195973, 0.121747, -0.123562, -0.028967, -0.486167, 0.648422], "network.8.weight": [[0.800229, 0.849394, 0.627476, 0.310406, 0.804142, 0.013558, -0.714099], [-0.344985, -0.187822, 0.003948, -0.464875, -0.283461, -0.073998, 0.761179], [0.19707, 0.041441, -0.179524, -0.097031, -0.086008, 0.088939, 0.387328], [0.294023, -0.177742, 0.001687, -0.324785, -0.101894, -0.067901, -0.352442], [0.459462, -0.425109, 0.141794, -0.118277, -0.136708, 0.439996, 0.282621], [-0.199691, -0.298335, -0.044346, -0.305877, -0.212847, 0.099603, 0.717599], [0.104616, -0.331417, -0.168056, -0.110091, -0.034563, -0.247134, 0.391184]], "network.8.bias": [0.175928, 0.638021, 0.031185, -0.070372, -0.081145, 0.72895, 0.430849], "network.10.weight": [[-0.619371, 0.550053, 0.100873, -0.076658, -0.281467, 0.506766, 0.367326]], "network.10.bias": [0.172337]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6812075972557068, "train_acc": 0.55, "val_loss": 0.6776921153068542, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652889758348465, "train_acc": 0.57, "val_loss": 0.5907169580459595, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5569873750209808, "train_acc": 0.63, "val_loss": 0.3975343406200409, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3809920847415924, "train_acc": 0.89, "val_loss": 0.30731508135795593, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2909478545188904, "train_acc": 0.92, "val_loss": 0.2536514401435852, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2223937138915062, "train_acc": 0.935, "val_loss": 0.23668767511844635, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.19980217516422272, "train_acc": 0.95, "val_loss": 0.23903009295463562, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.20408876612782478, "train_acc": 0.95, "val_loss": 0.21388478577136993, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1774045154452324, "train_acc": 0.945, "val_loss": 0.20070356130599976, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.18273787945508957, "train_acc": 0.94, "val_loss": 0.1988687515258789, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16829518228769302, "train_acc": 0.945, "val_loss": 0.19653810560703278, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.16028977185487747, "train_acc": 0.96, "val_loss": 0.19933243095874786, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6776921153068542, "final_val_loss": 0.5907169580459595, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.3975343406200409, "final_val_loss": 0.19933243095874786, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
65
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.05576129768179258, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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],
"network.0.bias": [
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}
## Activation Signature
### 0
fourier: [[25.824377, 26.064216, 29.967072, 30.336891, 224.211743], [28.380318, 28.953690, 29.316689, 35.127002, 106.146207], [26.136117, 28.398147, 29.276544, 30.006824, 212.732457], [38.340636, 44.140802, 50.518173, 54.320180, 304.335932], [26.241981, 26.259654, 26.985199, 28.998836, 73.426729], [26.622748, 27.136064, 30.469837, 31.404145, 158.713084]]
### 2
fourier: [[25.238711, 26.412478, 31.102377, 34.799360, 122.364828], [13.427105, 13.689347, 15.793810, 16.369822, 90.058635], [24.010417, 26.356849, 27.572902, 27.678900, 147.455333], [17.708878, 21.144700, 23.672873, 23.831654, 145.148527], [36.793626, 37.212026, 44.561302, 47.377999, 149.195804], [27.849632, 31.019546, 31.419168, 34.895294, 252.708632]]
### 4
fourier: [[20.307001, 21.027768, 22.852101, 28.343691, 28.596206], [26.350945, 28.608127, 33.576451, 34.499616, 69.823195], [15.555718, 15.813341, 18.409006, 18.738258, 22.115145], [26.326677, 26.425725, 28.415300, 30.512431, 178.805147], [28.809133, 28.976585, 32.449370, 34.293119, 230.218476], [36.176692, 42.524897, 44.215166, 47.211160, 164.536541]]
### 6
fourier: [[7.715602, 8.645998, 8.917028, 9.647605, 39.927304], [21.633130, 22.190639, 28.025375, 28.957136, 43.633074], [46.373703, 54.123001, 61.497170, 63.627361, 209.792324], [11.602091, 14.173492, 15.030216, 15.185914, 15.272070], [8.256194, 8.289778, 9.831467, 11.149880, 12.274866], [18.505449, 18.791704, 23.797071, 24.656361, 25.904860]]
### 8
fourier: [[13.558359, 15.655884, 16.032715, 19.022494, 62.755862], [24.900335, 24.976207, 32.296134, 33.279065, 88.205687], [22.954961, 24.078204, 29.659190, 31.749248, 64.162274], [27.405570, 30.479341, 31.437678, 38.612139, 39.901977], [10.043234, 10.124080, 11.354986, 12.974000, 12.994139], [32.928709, 33.060555, 42.158183, 43.980450, 96.642475]]
### 10
fourier: [[32.763887, 34.551043, 43.113123, 45.839192, 172.603843]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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}
## Activation Signature
### 0
fourier: [[25.824377, 26.064216, 29.967072, 30.336891, 224.211743], [28.380318, 28.953690, 29.316689, 35.127002, 106.146207], [26.136117, 28.398147, 29.276544, 30.006824, 212.732457], [38.340636, 44.140802, 50.518173, 54.320180, 304.335932], [26.241981, 26.259654, 26.985199, 28.998836, 73.426729], [26.622748, 27.136064, 30.469837, 31.404145, 158.713084]]
### 2
fourier: [[25.238711, 26.412478, 31.102377, 34.799360, 122.364828], [13.427105, 13.689347, 15.793810, 16.369822, 90.058635], [24.010417, 26.356849, 27.572902, 27.678900, 147.455333], [17.708878, 21.144700, 23.672873, 23.831654, 145.148527], [36.793626, 37.212026, 44.561302, 47.377999, 149.195804], [27.849632, 31.019546, 31.419168, 34.895294, 252.708632]]
### 4
fourier: [[20.307001, 21.027768, 22.852101, 28.343691, 28.596206], [26.350945, 28.608127, 33.576451, 34.499616, 69.823195], [15.555718, 15.813341, 18.409006, 18.738258, 22.115145], [26.326677, 26.425725, 28.415300, 30.512431, 178.805147], [28.809133, 28.976585, 32.449370, 34.293119, 230.218476], [36.176692, 42.524897, 44.215166, 47.211160, 164.536541]]
### 6
fourier: [[7.715602, 8.645998, 8.917028, 9.647605, 39.927304], [21.633130, 22.190639, 28.025375, 28.957136, 43.633074], [46.373703, 54.123001, 61.497170, 63.627361, 209.792324], [11.602091, 14.173492, 15.030216, 15.185914, 15.272070], [8.256194, 8.289778, 9.831467, 11.149880, 12.274866], [18.505449, 18.791704, 23.797071, 24.656361, 25.904860]]
### 8
fourier: [[13.558359, 15.655884, 16.032715, 19.022494, 62.755862], [24.900335, 24.976207, 32.296134, 33.279065, 88.205687], [22.954961, 24.078204, 29.659190, 31.749248, 64.162274], [27.405570, 30.479341, 31.437678, 38.612139, 39.901977], [10.043234, 10.124080, 11.354986, 12.974000, 12.994139], [32.928709, 33.060555, 42.158183, 43.980450, 96.642475]]
### 10
fourier: [[32.763887, 34.551043, 43.113123, 45.839192, 172.603843]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.104957, 0.481796, 0.25098, -0.033697, 0.599132], [-0.692191, 0.167558, 0.189832, 0.427044, 0.424616], [0.285673, -0.328486, -0.296538, -0.499187, -0.371973], [0.827886, -0.11346, 0.598702, 0.369063, 0.283341], [0.578525, -0.232554, 0.329642, 0.08999, -0.062175], [-0.692574, -0.037727, 0.699184, 0.185926, 0.176792]], "network.0.bias": [0.552979, -0.100535, 0.028057, 0.166491, -0.285207, 0.616826], "network.2.weight": [[0.468702, 0.650958, -0.23917, -0.303846, -0.263868, -0.014352], [0.044394, -0.044737, -0.165826, -0.095666, 0.054974, 0.605127], [0.448953, -0.240223, -0.621781, 0.228706, 0.270774, -0.146935], [0.075252, -0.005758, -0.057594, -0.486718, 0.036106, 0.106965], [0.336693, -0.523058, -0.584948, 0.389523, 0.503688, -0.458702], [0.348736, 0.442546, -0.141887, 0.129764, 0.020783, 0.565938]], "network.2.bias": [0.589081, 0.110145, 0.137477, -0.38851, 0.653654, -0.148982], "network.4.weight": [[-0.374165, -0.044262, -0.030796, -0.356517, 0.38549, -0.11757], [-0.450329, -0.099968, 0.463309, 0.164426, 0.248394, 0.121488], [0.60884, 0.057936, -0.380157, -0.326504, 0.0627, -0.227783], [0.216614, 0.34658, 0.016079, -0.638959, -0.208307, 0.482284], [0.534276, 0.526754, -0.171527, -0.171235, 0.026484, 0.43718], [0.223414, 0.325075, -0.139083, 0.045572, -0.525234, 0.614493]], "network.4.bias": [0.130132, 0.091777, 0.093111, 0.264344, 0.290325, 0.562733], "network.6.weight": [[0.198477, -0.147134, -0.237245, 0.105355, 0.127878, -0.455185], [0.32314, 0.514416, 0.012572, 0.213974, 0.116748, -0.473182], [-0.662513, -0.44919, 0.237676, 0.498926, 0.481608, 0.263793], [0.494934, 0.202269, 0.158093, -0.296125, -0.159363, 0.318871], [0.311634, 0.005894, -0.541735, -0.260092, 0.098197, 0.007127], [0.170763, 0.455935, -0.228063, 0.06246, 0.127953, -0.331197]], "network.6.bias": [0.102844, 0.212324, 0.15978, -0.249349, 0.246359, 0.145756], "network.8.weight": [[0.324337, 0.251295, 0.215265, 0.675607, 0.242284, 0.367289], [-0.264236, -0.392003, 0.327062, 0.062281, -0.560638, -0.22332], [-0.197339, -0.599178, 0.274473, -0.137616, 0.220121, -0.171802], [-0.499841, -0.401784, 0.270539, -0.543403, -0.076422, -0.539439], [0.083472, -0.106515, 0.035939, -0.341482, -0.146967, -0.235454], [0.085916, -0.441803, 0.470719, -0.081429, -0.48497, -0.34174]], "network.8.bias": [-0.280929, 0.447379, 0.372458, -0.059396, 0.014431, 0.260615], "network.10.weight": [[0.354689, -0.446213, -0.632422, -0.219578, -0.096905, -0.587004]], "network.10.bias": [0.065738]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7060195505619049, "train_acc": 0.435, "val_loss": 0.6883154511451721, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789571344852448, "train_acc": 0.565, "val_loss": 0.6603962779045105, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6482313275337219, "train_acc": 0.565, "val_loss": 0.5213723182678223, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4791511744260788, "train_acc": 0.63, "val_loss": 0.21832656860351562, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.25429362803697586, "train_acc": 0.925, "val_loss": 0.18271398544311523, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.31050391495227814, "train_acc": 0.92, "val_loss": 0.17397862672805786, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.26327627897262573, "train_acc": 0.91, "val_loss": 0.1675196886062622, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.23605520278215408, "train_acc": 0.905, "val_loss": 0.19596460461616516, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.24594683945178986, "train_acc": 0.92, "val_loss": 0.20414100587368011, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.24283207952976227, "train_acc": 0.925, "val_loss": 0.18441908061504364, "val_acc": 0.94}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6883154511451721, "final_val_loss": 0.5213723182678223, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.21832656860351562, "final_val_loss": 0.18441908061504364, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.3799999999999999, "first_improvement_epoch": 2}}
|
66
|
{"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8119, "learning_rate": 0.06602573665381442, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[41.234482, 43.034041, 51.229930, 55.282942, 341.244099], [40.074783, 40.099469, 47.378664, 49.980809, 202.507154], [32.863295, 34.012747, 34.889992, 37.613099, 39.568628], [63.831836, 65.226810, 65.606608, 75.109603, 184.443862], [17.713081, 17.718828, 20.052409, 20.537914, 21.033078]]
### 2
fourier: [[17.713383, 18.837566, 19.016580, 20.945917, 56.489015], [8.781817, 8.849795, 10.787959, 14.407336, 105.738015], [18.260483, 18.654802, 19.557538, 21.883166, 97.651362], [29.511790, 30.071506, 32.018236, 32.346180, 263.239487], [26.602501, 27.971200, 31.198919, 31.239854, 83.302338]]
### 4
fourier: [[17.591919, 17.755505, 18.472530, 18.537909, 154.040011], [24.396136, 25.467131, 27.062185, 27.363579, 249.434921], [9.961649, 10.215524, 10.698697, 11.587467, 150.077255], [12.135639, 12.318577, 13.672168, 14.784515, 81.586948], [25.965221, 27.383039, 27.412022, 29.044916, 31.316152]]
### 6
fourier: [[20.467230, 21.015884, 21.633977, 23.065506, 73.108309], [35.575780, 36.039235, 37.084063, 40.076298, 165.067636], [3.257096, 3.338934, 3.550857, 3.941183, 67.217240], [23.296205, 23.466105, 24.337188, 26.149490, 138.947913], [11.374563, 11.538932, 12.444090, 16.502768, 206.793194]]
### 8
fourier: [[11.792389, 12.169527, 16.305926, 16.770583, 17.140446]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.748584,
0.313045,
0.487617,
-0.168133
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],
"network.8.bias": [
-0.744977
]
}
## Activation Signature
### 0
fourier: [[41.234482, 43.034041, 51.229930, 55.282942, 341.244099], [40.074783, 40.099469, 47.378664, 49.980809, 202.507154], [32.863295, 34.012747, 34.889992, 37.613099, 39.568628], [63.831836, 65.226810, 65.606608, 75.109603, 184.443862], [17.713081, 17.718828, 20.052409, 20.537914, 21.033078]]
### 2
fourier: [[17.713383, 18.837566, 19.016580, 20.945917, 56.489015], [8.781817, 8.849795, 10.787959, 14.407336, 105.738015], [18.260483, 18.654802, 19.557538, 21.883166, 97.651362], [29.511790, 30.071506, 32.018236, 32.346180, 263.239487], [26.602501, 27.971200, 31.198919, 31.239854, 83.302338]]
### 4
fourier: [[17.591919, 17.755505, 18.472530, 18.537909, 154.040011], [24.396136, 25.467131, 27.062185, 27.363579, 249.434921], [9.961649, 10.215524, 10.698697, 11.587467, 150.077255], [12.135639, 12.318577, 13.672168, 14.784515, 81.586948], [25.965221, 27.383039, 27.412022, 29.044916, 31.316152]]
### 6
fourier: [[20.467230, 21.015884, 21.633977, 23.065506, 73.108309], [35.575780, 36.039235, 37.084063, 40.076298, 165.067636], [3.257096, 3.338934, 3.550857, 3.941183, 67.217240], [23.296205, 23.466105, 24.337188, 26.149490, 138.947913], [11.374563, 11.538932, 12.444090, 16.502768, 206.793194]]
### 8
fourier: [[11.792389, 12.169527, 16.305926, 16.770583, 17.140446]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.290853, 0.856288, 0.489404, 0.377626, 0.279103], [0.043909, -0.651801, 0.088917, -0.838296, 0.595079], [-0.794566, -0.532124, 0.258362, 0.358833, 0.547438], [-0.694088, 0.356652, -1.098018, 0.580564, -0.693991], [-0.50494, 0.118307, 0.400686, 0.053129, -0.144889]], "network.0.bias": [-0.307032, -0.238985, -0.090644, 0.069051, -0.197144], "network.2.weight": [[-0.015899, 0.393173, -0.617395, 0.787562, -0.165588], [-0.192393, -0.095958, -0.073829, -0.331703, 0.220671], [-0.342151, 0.453102, 0.341652, 0.034087, -0.241467], [0.580319, -0.213441, 0.642655, -0.233899, 0.709756], [-0.221402, 1.018233, -0.906514, 0.828337, -0.799488]], "network.2.bias": [0.82944, -0.33077, -0.021655, -0.019795, 0.477696], "network.4.weight": [[0.188909, 0.051596, -0.105532, 0.564236, -0.369356], [0.184904, -0.075065, 0.262865, 0.826777, -0.390706], [-0.381064, -0.058121, -0.061588, -0.320567, -0.079917], [0.211097, 0.010829, -0.635531, -0.337355, 0.198174], [0.856375, -0.336966, -0.558267, -0.413475, 0.854519]], "network.4.bias": [0.045681, 0.340903, -0.391646, -0.149471, 0.521827], "network.6.weight": [[-0.421096, -0.385381, 0.072051, -0.062849, 0.322323], [-0.117216, -0.983044, 0.209788, 0.210824, 0.719596], [-0.167605, -0.030089, 0.120821, -0.006865, -0.139193], [-0.476346, -0.36324, -0.008147, 0.559785, 0.457559], [-0.725439, 0.06781, 0.05037, -0.209413, -0.723465]], "network.6.bias": [0.697551, 0.450303, -0.254235, -0.150217, -0.59944], "network.8.weight": [[0.443182, 0.748584, 0.313045, 0.487617, -0.168133]], "network.8.bias": [-0.744977]}}
|
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|
67
|
{"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8435, "learning_rate": 0.054455867399290744, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[14.427310, 16.228523, 17.776804, 22.170559, 117.444764], [33.588443, 34.746301, 40.608479, 49.368069, 50.830280], [45.854936, 46.547259, 53.186211, 69.914012, 107.149457], [25.287778, 25.316729, 25.460778, 28.488296, 170.180013], [32.965432, 36.554273, 39.019761, 42.987231, 68.271375], [26.374390, 27.212041, 28.093409, 31.735791, 40.052113], [15.600737, 15.674173, 17.681711, 18.076005, 20.007808], [53.201768, 55.238181, 55.984584, 61.396982, 193.657348]]
### 2
fourier: [[31.642981, 33.201675, 33.605508, 44.592429, 49.195766], [40.177371, 40.884333, 48.215498, 50.052817, 110.030529], [15.226472, 17.161377, 17.983855, 27.430278, 144.406722], [25.233921, 25.504100, 26.314163, 28.397315, 148.963152], [14.004401, 15.067085, 16.154343, 16.556417, 120.232165], [7.586005, 8.025263, 8.460236, 8.859219, 103.977353], [14.975169, 16.076194, 16.645430, 27.608059, 150.762967], [19.463651, 20.721181, 20.965168, 22.651926, 30.348073]]
### 4
fourier: [[38.273883, 39.575014, 46.594953, 58.163649, 131.345257], [44.418321, 45.488859, 50.446919, 61.396529, 144.086138], [1.687228, 2.000318, 2.436448, 2.711637, 61.309886], [26.561315, 30.017079, 30.722611, 42.366221, 98.692472], [40.642306, 41.189334, 47.875654, 60.116440, 131.427367], [21.807675, 22.890114, 27.338101, 35.382955, 51.375741], [14.221012, 17.060618, 17.214281, 18.478011, 111.590971], [18.665330, 19.135412, 20.476677, 26.972025, 49.241262]]
### 6
fourier: [[64.542487, 66.628759, 76.463937, 94.550612, 200.947421], [16.786994, 17.619511, 20.274716, 25.097512, 95.302170], [56.957114, 58.976120, 67.443228, 83.340974, 175.312365], [83.023955, 85.731645, 96.922434, 120.951788, 288.523048], [50.390740, 52.499895, 59.244757, 73.953184, 153.618378], [71.889431, 74.142406, 84.727314, 105.595341, 236.336209], [18.956242, 19.118176, 20.910144, 27.657695, 30.203776], [25.948307, 26.724269, 26.976546, 28.338052, 37.145411]]
### 8
fourier: [[16.960500, 17.686950, 21.136515, 24.823837, 96.764078], [33.676071, 34.528550, 37.358410, 46.419042, 48.837405], [166.132079, 173.553870, 199.404558, 244.198457, 548.293809], [135.455299, 141.018171, 159.883336, 198.773985, 429.561360], [38.170689, 39.298076, 48.079380, 54.467540, 209.512284], [45.971223, 48.364949, 58.509688, 67.560927, 239.392012], [105.672677, 109.517240, 125.271276, 154.796915, 327.053149], [2.765623, 2.971489, 4.029639, 4.219485, 26.865722]]
### 10
fourier: [[144.060680, 149.865679, 174.010268, 211.287232, 450.283597]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[14.427310, 16.228523, 17.776804, 22.170559, 117.444764], [33.588443, 34.746301, 40.608479, 49.368069, 50.830280], [45.854936, 46.547259, 53.186211, 69.914012, 107.149457], [25.287778, 25.316729, 25.460778, 28.488296, 170.180013], [32.965432, 36.554273, 39.019761, 42.987231, 68.271375], [26.374390, 27.212041, 28.093409, 31.735791, 40.052113], [15.600737, 15.674173, 17.681711, 18.076005, 20.007808], [53.201768, 55.238181, 55.984584, 61.396982, 193.657348]]
### 2
fourier: [[31.642981, 33.201675, 33.605508, 44.592429, 49.195766], [40.177371, 40.884333, 48.215498, 50.052817, 110.030529], [15.226472, 17.161377, 17.983855, 27.430278, 144.406722], [25.233921, 25.504100, 26.314163, 28.397315, 148.963152], [14.004401, 15.067085, 16.154343, 16.556417, 120.232165], [7.586005, 8.025263, 8.460236, 8.859219, 103.977353], [14.975169, 16.076194, 16.645430, 27.608059, 150.762967], [19.463651, 20.721181, 20.965168, 22.651926, 30.348073]]
### 4
fourier: [[38.273883, 39.575014, 46.594953, 58.163649, 131.345257], [44.418321, 45.488859, 50.446919, 61.396529, 144.086138], [1.687228, 2.000318, 2.436448, 2.711637, 61.309886], [26.561315, 30.017079, 30.722611, 42.366221, 98.692472], [40.642306, 41.189334, 47.875654, 60.116440, 131.427367], [21.807675, 22.890114, 27.338101, 35.382955, 51.375741], [14.221012, 17.060618, 17.214281, 18.478011, 111.590971], [18.665330, 19.135412, 20.476677, 26.972025, 49.241262]]
### 6
fourier: [[64.542487, 66.628759, 76.463937, 94.550612, 200.947421], [16.786994, 17.619511, 20.274716, 25.097512, 95.302170], [56.957114, 58.976120, 67.443228, 83.340974, 175.312365], [83.023955, 85.731645, 96.922434, 120.951788, 288.523048], [50.390740, 52.499895, 59.244757, 73.953184, 153.618378], [71.889431, 74.142406, 84.727314, 105.595341, 236.336209], [18.956242, 19.118176, 20.910144, 27.657695, 30.203776], [25.948307, 26.724269, 26.976546, 28.338052, 37.145411]]
### 8
fourier: [[16.960500, 17.686950, 21.136515, 24.823837, 96.764078], [33.676071, 34.528550, 37.358410, 46.419042, 48.837405], [166.132079, 173.553870, 199.404558, 244.198457, 548.293809], [135.455299, 141.018171, 159.883336, 198.773985, 429.561360], [38.170689, 39.298076, 48.079380, 54.467540, 209.512284], [45.971223, 48.364949, 58.509688, 67.560927, 239.392012], [105.672677, 109.517240, 125.271276, 154.796915, 327.053149], [2.765623, 2.971489, 4.029639, 4.219485, 26.865722]]
### 10
fourier: [[144.060680, 149.865679, 174.010268, 211.287232, 450.283597]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.42730964707255, 16.22852281910584, 17.77680415360943, 22.170559446633817, 117.44476369023323]}, "1": {"fourier": [33.588443460844736, 34.74630077119911, 40.6084789654536, 49.368068939582386, 50.830280299047274]}, "2": {"fourier": [45.854936049475356, 46.54725862279016, 53.186211087383214, 69.91401240560884, 107.14945721626282]}, "3": {"fourier": [25.287778178321044, 25.316728850205855, 25.46077806041623, 28.488295942252265, 170.18001286685467]}, "4": {"fourier": [32.96543176011354, 36.55427314827891, 39.01976148346058, 42.9872307354133, 68.271374553442]}, "5": {"fourier": [26.374390096692913, 27.212041444932158, 28.09340889225608, 31.735790903946413, 40.05211321589391]}, "6": {"fourier": [15.600737288880568, 15.674173034804003, 17.681711375683832, 18.07600469509426, 20.00780814886093]}, "7": {"fourier": [53.201767807420445, 55.23818080617952, 55.984583907961785, 61.39698181255901, 193.65734776854515]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [31.642981057226613, 33.20167508381214, 33.60550802802863, 44.59242850574547, 49.19576593310892]}, "1": {"fourier": [40.17737065081635, 40.884332772915506, 48.21549776913152, 50.05281706662767, 110.03052946925163]}, "2": {"fourier": [15.226471711624647, 17.16137666423985, 17.983854682726367, 27.430278119347932, 144.4067217707634]}, "3": {"fourier": [25.233921144269328, 25.504099984214175, 26.314162508364596, 28.397314921209002, 148.96315203607082]}, "4": {"fourier": [14.004400623247962, 15.067085032963606, 16.154343490279608, 16.55641650115619, 120.23216480016708]}, "5": {"fourier": [7.5860053596034644, 8.025262965741632, 8.46023556290679, 8.859219150449833, 103.97735315561295]}, "6": {"fourier": [14.975168597264743, 16.07619372817604, 16.64542958927727, 27.6080587662509, 150.76296746730804]}, "7": {"fourier": [19.463650926723147, 20.721180897275342, 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"7": {"fourier": [18.66532992081393, 19.135412133302065, 20.476676536185916, 26.972024624508254, 49.24126172065735]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [64.54248686874138, 66.62875867929299, 76.46393654766499, 94.55061214253615, 200.9474207609892]}, "1": {"fourier": [16.786994019727974, 17.619511348472752, 20.274716293590526, 25.09751244010178, 95.30216988921165]}, "2": {"fourier": [56.9571139900567, 58.976119830464405, 67.4432275522085, 83.34097445198258, 175.31236489117146]}, "3": {"fourier": [83.02395515550037, 85.7316447550215, 96.92243421180318, 120.95178826759974, 288.5230479836464]}, "4": {"fourier": [50.39073986489919, 52.49989512508144, 59.2447568589828, 73.95318445219787, 153.6183781325817]}, "5": {"fourier": [71.8894308902542, 74.14240637681766, 84.72731416218257, 105.59534086291009, 236.33620925620198]}, "6": {"fourier": [18.95624244686254, 19.118175540925275, 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{"fourier": [105.67267705325986, 109.5172399997877, 125.27127592231314, 154.79691549753315, 327.05314940214157]}, "7": {"fourier": [2.7656225813097244, 2.971489470574347, 4.029638718146982, 4.219485340684943, 26.86572179198265]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [144.06067969185622, 149.8656787112353, 174.01026805698635, 211.2872317740807, 450.28359684348106]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.116491, 0.242399, -0.484934, -0.244896, 0.255427], [0.837117, -0.367066, 0.421575, -0.684734, -0.144791], [0.070391, 0.649433, -0.335422, 0.689505, -1.243732], [0.304821, 0.233401, -0.297961, -0.54269, -0.470788], [-0.926129, -0.1176, 0.095387, 0.374803, 0.605309], [0.702343, -0.239841, 0.095711, -0.459166, 0.106675], [-0.234116, 0.036136, -0.166951, 0.165453, 0.422952], [-0.563266, 0.582347, -0.97259, -0.035851, -0.639832]], "network.0.bias": [-0.668502, 0.384993, 0.675531, -0.328717, 0.375836, 0.155431, -0.079897, 0.385678], "network.2.weight": [[0.141322, -0.284486, -0.460941, 0.11691, 0.873356, -0.161283, 0.535287, -0.35608], [0.380406, 0.444003, -0.769522, -0.257237, -0.435971, 0.524217, 0.117821, -0.726554], [0.008375, -0.30197, -0.393842, -0.17131, 0.027437, -0.226095, -0.125892, -0.382556], [0.174559, 0.219263, -0.057721, -0.229616, 1.094932, 0.247883, 0.203531, -0.62411], [-0.018353, -0.335568, -0.250841, 0.24498, 0.050987, -0.26522, -0.10355, -0.077735], [0.019133, -0.246585, -0.057689, -0.146171, -0.345163, -0.017657, -0.120357, -0.294109], [-0.402711, -0.147527, -0.429275, 0.028817, -0.022872, -0.299188, -0.017648, -0.318437], [0.864268, 0.009745, -0.420129, -0.006843, 0.714181, 0.19235, 0.012817, 0.231954]], "network.2.bias": [0.003218, 0.174325, -0.252755, 0.014132, -0.349149, -0.184485, -0.367662, -0.020997], "network.4.weight": [[0.66132, -0.522025, -0.169757, 0.829426, 0.017286, -0.171336, 0.011449, 0.001372], [0.351543, -0.445126, -0.21049, 0.809456, -0.032495, 0.314163, -0.020305, 0.855651], [-0.00611, -0.08385, -0.371832, -0.042184, 0.026304, -0.032543, 0.332221, -0.006554], [0.271628, 0.795864, -0.247808, -0.703253, 0.132482, -0.046539, -0.301136, -0.830529], [0.506578, -0.611449, -0.195401, 0.77647, 0.038477, 0.329068, 0.345631, 0.379766], [0.462907, -0.478785, -0.186049, 0.369571, 0.04129, -0.350893, -0.036924, -0.078137], [-0.295656, -0.347097, 0.147423, -0.281575, 0.294964, -0.067214, -0.076354, -0.019386], [0.139981, 0.299475, -0.102114, -0.687058, 0.21417, -0.335742, 0.336717, -0.312658]], "network.4.bias": [-0.25483, -0.397049, -0.561032, 0.031287, -0.232437, -0.16648, -0.343556, 0.567549], "network.6.weight": [[0.454791, 0.574664, -0.09553, -0.292711, 0.347135, 0.431362, 0.196174, 0.014339], [-0.31068, 0.026658, -0.159879, 0.002611, -0.257525, 0.176764, 0.109377, -0.09499], [0.467991, 0.477612, 0.118882, -0.174751, 0.404812, 0.135687, 0.319644, 0.011554], [0.566963, 0.622065, 0.028666, -0.555816, 0.836579, 0.00405, 0.019964, -0.718421], [0.553661, 0.346521, 0.502837, -0.340054, 0.312986, 0.063325, 0.221206, -0.515691], [0.561918, 0.457839, -0.185556, -0.546887, 0.568157, 0.367672, 0.321817, -0.33814], [-0.068528, 0.032542, -0.024844, 0.670148, -0.332959, -0.10123, -0.253262, 0.728998], [-0.204152, -0.421917, -0.027162, 0.797869, -0.0464, 0.243202, 0.095201, 0.656684]], "network.6.bias": [-0.252408, -0.339011, -0.283224, 0.145032, -0.151624, -0.051215, 0.135269, 0.443977], "network.8.weight": [[-0.215656, -0.118008, -0.018643, -0.038711, -0.202314, 0.136594, -0.148818, -0.114463], [0.442222, -0.245197, -0.049149, 0.008653, 0.000717, 0.040904, -0.353926, -0.752754], [0.651258, -0.010634, 0.504233, 0.582111, 0.284695, 0.514637, 0.272826, -0.390767], [0.22245, -0.079946, 0.401167, 0.519145, 0.333318, 0.529745, -0.409402, -0.622724], [-0.142722, -0.285395, -0.252766, -0.17758, -0.122823, 0.010656, -0.756512, -0.658576], [-0.052912, 0.198252, -0.018631, -0.176643, 0.041527, -0.50024, -0.459354, -0.90367], [0.491827, 0.230135, 0.472406, 0.251996, 0.015261, 0.354425, -0.442381, -0.285277], [0.126941, -0.106945, 0.200181, -0.331355, -0.054163, 0.192428, -0.157177, 0.160283]], "network.8.bias": [-0.325128, -0.209531, -0.260761, -0.048177, -0.276041, -0.186106, -0.126878, -0.365138], "network.10.weight": [[0.165642, -0.08446, -0.438061, -0.37706, 0.131336, -0.001787, -0.198179, 0.038861]], "network.10.bias": [0.500222]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6766458749771118, "train_acc": 0.605, "val_loss": 0.7868483662605286, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6653845310211182, "train_acc": 0.605, "val_loss": 0.7798967957496643, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6647494435310364, "train_acc": 0.605, "val_loss": 0.7616832256317139, "val_acc": 0.38}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6298859715461731, "train_acc": 0.605, "val_loss": 0.751607358455658, "val_acc": 0.38}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5771784484386444, "train_acc": 0.605, "val_loss": 0.6447478532791138, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6315272748470306, "train_acc": 0.53, "val_loss": 0.6049397587776184, "val_acc": 0.38}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5286396443843842, "train_acc": 0.53, "val_loss": 0.6106470227241516, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5615759789943695, "train_acc": 0.735, "val_loss": 0.5889172554016113, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5213952511548996, "train_acc": 0.735, "val_loss": 0.5747727155685425, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5053146779537201, "train_acc": 0.72, "val_loss": 0.537899374961853, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.45824041962623596, "train_acc": 0.8, "val_loss": 0.512858510017395, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.39616547524929047, "train_acc": 0.845, "val_loss": 0.43953320384025574, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.353479266166687, "train_acc": 0.855, "val_loss": 0.36561906337738037, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.31926460564136505, "train_acc": 0.9, "val_loss": 0.3316420018672943, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.27246659994125366, "train_acc": 0.955, "val_loss": 0.30750447511672974, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7868483662605286, "final_val_loss": 0.6447478532791138, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.6049397587776184, "final_val_loss": 0.30750447511672974, "initial_val_acc": 0.38, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 12}, "improvement": 0.58, "first_improvement_epoch": 4}}
|
68
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8999, "learning_rate": 0.06938211819600233, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.012063,
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0.855624,
-0.513397,
0.070912
],
[
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0.401491,
0.086566,
0.08462
],
[
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-0.036901,
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0.473826
],
[
0.12582,
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0.019895,
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],
[
0.644636,
0.067373,
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-0.178585,
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],
[
0.539983,
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]
],
"network.0.bias": [
0.496807,
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],
"network.2.weight": [
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],
[
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[
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],
[
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],
[
0.034557,
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[
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]
],
"network.2.bias": [
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],
"network.4.weight": [
[
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[
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[
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[
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[
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[
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],
"network.4.bias": [
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"network.6.weight": [
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[
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[
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[
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[
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"network.6.bias": [
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"network.8.weight": [
[
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[
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[
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[
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[
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],
"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[34.927382, 36.965698, 37.127095, 44.188154, 46.673294], [15.467533, 15.673927, 15.868561, 20.419153, 21.314772], [29.537198, 30.283410, 38.185116, 39.678842, 126.244083], [19.066258, 21.724008, 21.843956, 26.413800, 95.267168], [25.929535, 27.919741, 30.428105, 34.363719, 136.331828], [18.134603, 23.308272, 25.497536, 28.953944, 125.130913]]
### 2
fourier: [[29.020471, 29.949623, 31.119188, 38.686836, 150.248966], [8.321095, 9.009449, 9.042610, 9.617117, 85.113839], [26.275138, 26.904875, 29.371541, 33.372749, 34.781881], [24.297894, 26.442916, 26.827283, 30.159325, 142.865862], [9.950471, 10.315301, 12.607844, 14.003320, 91.859298], [22.193946, 23.515328, 24.806081, 28.935765, 30.959271]]
### 4
fourier: [[12.690768, 13.936443, 14.292714, 16.326544, 16.638738], [35.070310, 38.836123, 38.877318, 44.448660, 177.053162], [28.015734, 29.211691, 32.285584, 40.842469, 170.461742], [24.958178, 26.538125, 27.324413, 30.059135, 89.053621], [13.797679, 14.114114, 14.925383, 18.236017, 139.129944], [33.425534, 33.464245, 38.003787, 47.080284, 196.483290]]
### 6
fourier: [[68.554422, 68.572166, 70.976739, 92.940039, 418.055078], [33.759203, 34.445354, 35.686361, 46.688665, 258.501091], [28.043625, 28.609714, 29.854804, 39.655614, 194.005156], [9.553410, 9.608578, 11.423167, 13.261174, 21.337268], [53.906431, 55.321898, 58.352424, 70.335759, 249.197433], [83.844034, 84.690853, 85.655246, 114.653953, 529.929999]]
### 8
fourier: [[2.841832, 3.063674, 3.116177, 3.234227, 3.451048], [102.104758, 104.014572, 107.658199, 141.530955, 642.353207], [127.403425, 128.066341, 131.880900, 173.958532, 752.436313], [13.730334, 13.865773, 14.407957, 18.865097, 111.697468], [48.504600, 50.825629, 51.082154, 66.384784, 224.793815], [50.408727, 51.070767, 53.318596, 67.822936, 264.808365]]
### 10
fourier: [[132.599451, 135.599892, 141.025604, 185.470392, 757.393189]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.012063,
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0.070912
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],
[
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0.473826
],
[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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],
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],
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]
],
"network.2.bias": [
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],
"network.4.weight": [
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[
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[
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[
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1.126914,
0.002206
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[
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]
],
"network.4.bias": [
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"network.6.weight": [
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[34.927382, 36.965698, 37.127095, 44.188154, 46.673294], [15.467533, 15.673927, 15.868561, 20.419153, 21.314772], [29.537198, 30.283410, 38.185116, 39.678842, 126.244083], [19.066258, 21.724008, 21.843956, 26.413800, 95.267168], [25.929535, 27.919741, 30.428105, 34.363719, 136.331828], [18.134603, 23.308272, 25.497536, 28.953944, 125.130913]]
### 2
fourier: [[29.020471, 29.949623, 31.119188, 38.686836, 150.248966], [8.321095, 9.009449, 9.042610, 9.617117, 85.113839], [26.275138, 26.904875, 29.371541, 33.372749, 34.781881], [24.297894, 26.442916, 26.827283, 30.159325, 142.865862], [9.950471, 10.315301, 12.607844, 14.003320, 91.859298], [22.193946, 23.515328, 24.806081, 28.935765, 30.959271]]
### 4
fourier: [[12.690768, 13.936443, 14.292714, 16.326544, 16.638738], [35.070310, 38.836123, 38.877318, 44.448660, 177.053162], [28.015734, 29.211691, 32.285584, 40.842469, 170.461742], [24.958178, 26.538125, 27.324413, 30.059135, 89.053621], [13.797679, 14.114114, 14.925383, 18.236017, 139.129944], [33.425534, 33.464245, 38.003787, 47.080284, 196.483290]]
### 6
fourier: [[68.554422, 68.572166, 70.976739, 92.940039, 418.055078], [33.759203, 34.445354, 35.686361, 46.688665, 258.501091], [28.043625, 28.609714, 29.854804, 39.655614, 194.005156], [9.553410, 9.608578, 11.423167, 13.261174, 21.337268], [53.906431, 55.321898, 58.352424, 70.335759, 249.197433], [83.844034, 84.690853, 85.655246, 114.653953, 529.929999]]
### 8
fourier: [[2.841832, 3.063674, 3.116177, 3.234227, 3.451048], [102.104758, 104.014572, 107.658199, 141.530955, 642.353207], [127.403425, 128.066341, 131.880900, 173.958532, 752.436313], [13.730334, 13.865773, 14.407957, 18.865097, 111.697468], [48.504600, 50.825629, 51.082154, 66.384784, 224.793815], [50.408727, 51.070767, 53.318596, 67.822936, 264.808365]]
### 10
fourier: [[132.599451, 135.599892, 141.025604, 185.470392, 757.393189]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064076066017151, "train_acc": 0.45, "val_loss": 0.6611549258232117, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6092204451560974, "train_acc": 0.575, "val_loss": 0.5134315490722656, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5418320894241333, "train_acc": 0.61, "val_loss": 0.356577605009079, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3750210404396057, "train_acc": 0.895, "val_loss": 0.2596292793750763, "val_acc": 0.98}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2770252600312233, "train_acc": 0.935, "val_loss": 0.19530582427978516, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.228550523519516, "train_acc": 0.94, "val_loss": 0.09634770452976227, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20429839193820953, "train_acc": 0.94, "val_loss": 0.038984283804893494, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18189112097024918, "train_acc": 0.95, "val_loss": 0.028684498742222786, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17222467809915543, "train_acc": 0.95, "val_loss": 0.036272548139095306, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.16451966762542725, "train_acc": 0.95, "val_loss": 0.04724635183811188, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17697396129369736, "train_acc": 0.95, "val_loss": 0.054578255861997604, "val_acc": 1.0}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6611549258232117, "final_val_loss": 0.5134315490722656, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.356577605009079, "final_val_loss": 0.054578255861997604, "initial_val_acc": 0.98, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 5}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
69
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.96, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4020, "learning_rate": 0.0658082586785923, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[53.718114, 57.739176, 63.225803, 64.004541, 323.836597], [29.489086, 30.585138, 32.762511, 34.068041, 40.571788], [45.458197, 45.734151, 50.307280, 52.431777, 232.115756], [28.854901, 32.706491, 36.718360, 38.579711, 203.330879], [47.979850, 49.627277, 59.565078, 60.018083, 149.481146], [51.246352, 57.625224, 57.824594, 60.186808, 105.506203], [30.742001, 32.881080, 33.382458, 38.446419, 147.791864], [62.589324, 65.878440, 66.901421, 70.505241, 332.407155]]
### 2
fourier: [[110.785843, 112.629000, 118.571189, 119.823840, 497.457001], [30.024788, 30.319419, 30.478685, 36.827905, 220.340768], [28.476020, 31.310202, 32.339505, 34.390876, 213.717233], [36.659877, 38.129652, 39.726552, 42.925368, 254.699640], [23.609359, 23.759943, 23.907465, 24.242679, 163.653483], [33.730169, 35.727792, 37.023708, 37.107752, 230.302242], [26.833315, 33.847748, 35.811829, 36.122444, 126.664672], [76.121627, 76.673977, 76.992366, 84.384866, 327.164033]]
### 4
fourier: [[64.363616, 64.589501, 70.171609, 72.837786, 259.699498], [6.457406, 6.479790, 6.491871, 7.319775, 58.047385], [38.699948, 39.000513, 41.488155, 42.593126, 150.422470], [39.751328, 39.828694, 43.385565, 44.651538, 148.819347], [50.895728, 51.462250, 54.891524, 56.983786, 209.252473], [27.193237, 27.680850, 28.320858, 28.593237, 101.707335], [63.708433, 63.772249, 70.070646, 73.095427, 240.872633], [46.687552, 47.346537, 49.677295, 50.139789, 263.225292]]
### 6
fourier: [[10.937865, 11.898522, 12.100669, 12.850003, 70.897149], [61.628651, 66.092809, 67.486225, 70.620010, 304.744228], [62.091584, 67.550456, 67.758228, 72.369931, 272.310275], [95.476691, 104.357805, 104.517216, 111.974446, 378.421355], [110.448841, 120.248607, 120.308193, 128.804434, 433.961951], [112.247310, 122.164644, 122.929276, 130.985289, 440.790285], [133.913601, 146.022407, 146.636721, 156.625333, 534.582478], [139.889678, 152.161798, 153.244247, 163.116862, 554.940563]]
### 8
fourier: [[363.908230, 393.041511, 405.470754, 424.280430, 1401.701401]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[53.718114, 57.739176, 63.225803, 64.004541, 323.836597], [29.489086, 30.585138, 32.762511, 34.068041, 40.571788], [45.458197, 45.734151, 50.307280, 52.431777, 232.115756], [28.854901, 32.706491, 36.718360, 38.579711, 203.330879], [47.979850, 49.627277, 59.565078, 60.018083, 149.481146], [51.246352, 57.625224, 57.824594, 60.186808, 105.506203], [30.742001, 32.881080, 33.382458, 38.446419, 147.791864], [62.589324, 65.878440, 66.901421, 70.505241, 332.407155]]
### 2
fourier: [[110.785843, 112.629000, 118.571189, 119.823840, 497.457001], [30.024788, 30.319419, 30.478685, 36.827905, 220.340768], [28.476020, 31.310202, 32.339505, 34.390876, 213.717233], [36.659877, 38.129652, 39.726552, 42.925368, 254.699640], [23.609359, 23.759943, 23.907465, 24.242679, 163.653483], [33.730169, 35.727792, 37.023708, 37.107752, 230.302242], [26.833315, 33.847748, 35.811829, 36.122444, 126.664672], [76.121627, 76.673977, 76.992366, 84.384866, 327.164033]]
### 4
fourier: [[64.363616, 64.589501, 70.171609, 72.837786, 259.699498], [6.457406, 6.479790, 6.491871, 7.319775, 58.047385], [38.699948, 39.000513, 41.488155, 42.593126, 150.422470], [39.751328, 39.828694, 43.385565, 44.651538, 148.819347], [50.895728, 51.462250, 54.891524, 56.983786, 209.252473], [27.193237, 27.680850, 28.320858, 28.593237, 101.707335], [63.708433, 63.772249, 70.070646, 73.095427, 240.872633], [46.687552, 47.346537, 49.677295, 50.139789, 263.225292]]
### 6
fourier: [[10.937865, 11.898522, 12.100669, 12.850003, 70.897149], [61.628651, 66.092809, 67.486225, 70.620010, 304.744228], [62.091584, 67.550456, 67.758228, 72.369931, 272.310275], [95.476691, 104.357805, 104.517216, 111.974446, 378.421355], [110.448841, 120.248607, 120.308193, 128.804434, 433.961951], [112.247310, 122.164644, 122.929276, 130.985289, 440.790285], [133.913601, 146.022407, 146.636721, 156.625333, 534.582478], [139.889678, 152.161798, 153.244247, 163.116862, 554.940563]]
### 8
fourier: [[363.908230, 393.041511, 405.470754, 424.280430, 1401.701401]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.310482, 0.188192, 0.454283, 0.517625, -0.080078], [0.80154, 0.09761, -0.9112, 0.414193, -0.067468], [-1.130598, -0.06423, -0.214935, -0.592705, 0.13795], [-0.646933, -0.087651, -0.043167, -0.663909, -0.014794], [1.177828, -0.092711, 0.561557, -0.258253, -0.08575], [-1.466737, -0.191259, -0.10928, -0.034433, 0.3462], [0.685897, -0.005043, 0.446551, 0.342078, -0.396488], [1.29104, 0.832169, 0.324399, -0.147219, 0.397058]], "network.0.bias": [-0.33577, -0.132558, 0.494806, 0.237692, -0.149361, 0.876633, -0.379599, -0.281247], "network.2.weight": [[0.613627, 0.542108, -0.225251, -0.14266, 0.709116, -0.242284, 0.097453, 0.504232], [-0.010609, 0.341344, 0.130889, -0.220774, 0.207329, -0.149134, -0.509203, -0.468704], [-0.230186, -0.206875, -0.209171, 0.290049, 0.170945, -0.174148, -0.327081, -0.222936], [-0.414146, 0.07863, -0.078696, -0.247239, -0.105345, -0.366655, 0.023904, -0.215355], [0.185311, -0.296189, -0.016446, 0.121244, -0.127189, -0.311022, -0.239208, -0.284723], [-0.124245, 0.007069, -0.345507, -0.237135, -0.290469, -0.389611, -0.052159, -0.236436], [0.09619, 1.000394, 0.018252, 0.01329, 0.074942, -0.098998, -0.23689, 0.200917], [-0.620333, -0.184495, 0.318142, 0.1186, -0.486873, 0.295452, -0.466336, 0.020293]], "network.2.bias": [-0.43226, -0.350146, -0.20186, -0.22829, -0.376274, -0.351964, -0.153912, 0.299239], "network.4.weight": [[0.52406, 0.452436, -0.2388, -0.346708, 0.207852, -0.051503, 0.287777, -0.220749], [-0.043227, 0.183803, 0.039459, 0.329109, 0.080987, -0.102755, -0.077266, -0.174015], [0.340179, -0.311823, -0.201797, -0.139283, 0.113109, 0.050388, 0.044973, -0.235442], [0.330244, -0.076702, -0.115445, -0.112045, -0.154247, -0.29205, 0.136339, -0.249512], [0.430425, 0.096006, -0.296109, -0.0553, 0.43879, 0.113344, 0.158501, -0.141194], [0.267373, 0.12632, 0.341661, 0.067266, -0.100878, 0.314056, -0.110398, -0.255686], [0.497424, -0.709596, -0.321328, 0.086581, -0.43528, 0.140721, 0.392165, -0.14074], [-0.461689, 0.005222, 0.305741, 0.158398, 0.058312, 0.096463, 0.107266, -0.307497]], "network.4.bias": [-0.450464, -0.269928, -0.2782, -0.370695, -0.30699, -0.18316, -0.67028, -0.449033], "network.6.weight": [[-0.061936, 0.115851, -0.120846, 0.127755, 0.189616, -0.089516, -0.243363, 0.067686], [-0.098558, 0.32883, -0.582441, -0.27608, -0.304069, -0.210632, -0.075768, 0.259399], [-0.330615, -0.081502, 0.234002, -0.089879, -0.388941, -0.277268, -0.363158, -0.022414], [0.402263, -0.285769, 0.149038, 0.336282, 0.321881, -0.002385, 0.643475, 0.320183], [1.018348, -0.025873, 0.033942, 0.124781, 0.337584, 0.179891, 0.37374, -0.003176], [0.387167, -0.218023, 0.275511, 0.277341, 0.425498, 0.207607, 0.727756, -0.018716], [0.531092, -0.086243, 0.050117, 0.552829, 0.508251, 0.202348, 0.848676, -0.157326], [0.807317, -0.325312, 0.46922, 0.612632, 0.135969, 0.209973, 0.673939, 0.009236]], "network.6.bias": [-0.281343, -0.417017, -0.024524, -0.39345, -0.540345, -0.504192, -0.504838, -0.56558], "network.8.weight": [[-0.104203, -0.071683, -0.027002, -0.415711, -0.641516, -0.510265, -0.768753, -0.716465]], "network.8.bias": [1.070284]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828865110874176, "train_acc": 0.445, "val_loss": 0.7071729898452759, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5615401566028595, "train_acc": 0.615, "val_loss": 0.6308145523071289, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5440227389335632, "train_acc": 0.715, "val_loss": 0.5673523545265198, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5110170841217041, "train_acc": 0.84, "val_loss": 0.5215475559234619, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4371316581964493, "train_acc": 0.825, "val_loss": 0.514015793800354, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3967706561088562, "train_acc": 0.82, "val_loss": 0.44447940587997437, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3521023690700531, "train_acc": 0.93, "val_loss": 0.36759379506111145, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.30516690015792847, "train_acc": 0.91, "val_loss": 0.36352065205574036, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.28030508756637573, "train_acc": 0.94, "val_loss": 0.3374671936035156, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2235296219587326, "train_acc": 0.97, "val_loss": 0.3305472433567047, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1983831748366356, "train_acc": 0.965, "val_loss": 0.264497309923172, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.20698220282793045, "train_acc": 0.94, "val_loss": 0.3313063085079193, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7071729898452759, "final_val_loss": 0.6308145523071289, "initial_val_acc": 0.38, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.5673523545265198, "final_val_loss": 0.3313063085079193, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.96, "best_epoch": 10}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
70
|
{"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8736, "learning_rate": 0.08073496747622153, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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## Activation Signature
### 0
fourier: [[25.384307, 25.878949, 26.395453, 29.885677, 83.133798], [20.893866, 22.645527, 23.909204, 25.343016, 214.043745], [33.371619, 37.072390, 37.704285, 48.558170, 184.192623], [55.793854, 56.454629, 67.038811, 68.307425, 527.998521], [37.833665, 38.066056, 45.235156, 48.580403, 62.532892], [23.520046, 28.919041, 29.731792, 30.448566, 53.188355], [25.481211, 27.104748, 29.223815, 32.358660, 60.384436]]
### 2
fourier: [[43.051480, 43.666275, 44.561493, 49.110179, 156.814839], [55.789963, 57.737081, 65.475949, 74.085320, 204.178899], [38.118428, 41.819082, 43.763783, 47.148714, 270.047740], [32.524395, 32.529720, 33.688267, 36.179092, 43.112131], [12.315727, 14.758478, 15.670285, 16.881441, 88.781809], [49.949897, 50.413881, 52.855049, 58.903686, 74.658633], [39.944579, 43.636691, 46.318069, 50.219935, 75.737835]]
### 4
fourier: [[100.981918, 106.858296, 107.150736, 118.029341, 192.730410], [54.690902, 55.496860, 61.047950, 70.296843, 178.950237], [29.053120, 30.671966, 32.052738, 39.142268, 90.123756], [107.053922, 114.409013, 121.622325, 122.584705, 627.774806], [17.358016, 17.926372, 18.766528, 20.944698, 61.726654], [45.593323, 46.412252, 48.703482, 53.441375, 59.054145], [64.145536, 65.404585, 67.263651, 73.830603, 192.449338]]
### 6
fourier: [[47.223475, 47.239160, 47.913897, 50.027802, 217.896526], [43.099042, 45.685997, 50.718201, 57.378394, 90.440083], [61.817182, 62.439730, 65.395989, 73.184912, 292.989288], [34.818859, 35.356134, 40.299012, 47.233278, 78.200048], [51.518272, 57.045060, 65.844190, 80.019720, 98.586774], [37.808418, 42.218299, 43.584095, 46.083130, 194.233480], [15.778560, 15.851625, 16.409065, 17.981827, 43.223352]]
### 8
fourier: [[65.644574, 66.854787, 75.006874, 83.518523, 317.611020]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.384307, 25.878949, 26.395453, 29.885677, 83.133798], [20.893866, 22.645527, 23.909204, 25.343016, 214.043745], [33.371619, 37.072390, 37.704285, 48.558170, 184.192623], [55.793854, 56.454629, 67.038811, 68.307425, 527.998521], [37.833665, 38.066056, 45.235156, 48.580403, 62.532892], [23.520046, 28.919041, 29.731792, 30.448566, 53.188355], [25.481211, 27.104748, 29.223815, 32.358660, 60.384436]]
### 2
fourier: [[43.051480, 43.666275, 44.561493, 49.110179, 156.814839], [55.789963, 57.737081, 65.475949, 74.085320, 204.178899], [38.118428, 41.819082, 43.763783, 47.148714, 270.047740], [32.524395, 32.529720, 33.688267, 36.179092, 43.112131], [12.315727, 14.758478, 15.670285, 16.881441, 88.781809], [49.949897, 50.413881, 52.855049, 58.903686, 74.658633], [39.944579, 43.636691, 46.318069, 50.219935, 75.737835]]
### 4
fourier: [[100.981918, 106.858296, 107.150736, 118.029341, 192.730410], [54.690902, 55.496860, 61.047950, 70.296843, 178.950237], [29.053120, 30.671966, 32.052738, 39.142268, 90.123756], [107.053922, 114.409013, 121.622325, 122.584705, 627.774806], [17.358016, 17.926372, 18.766528, 20.944698, 61.726654], [45.593323, 46.412252, 48.703482, 53.441375, 59.054145], [64.145536, 65.404585, 67.263651, 73.830603, 192.449338]]
### 6
fourier: [[47.223475, 47.239160, 47.913897, 50.027802, 217.896526], [43.099042, 45.685997, 50.718201, 57.378394, 90.440083], [61.817182, 62.439730, 65.395989, 73.184912, 292.989288], [34.818859, 35.356134, 40.299012, 47.233278, 78.200048], [51.518272, 57.045060, 65.844190, 80.019720, 98.586774], [37.808418, 42.218299, 43.584095, 46.083130, 194.233480], [15.778560, 15.851625, 16.409065, 17.981827, 43.223352]]
### 8
fourier: [[65.644574, 66.854787, 75.006874, 83.518523, 317.611020]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.176256, 0.486513, -0.432042, 0.443133, 0.272667], [-0.076452, 0.023499, 0.624463, 0.397978, -0.020495], [0.314766, -0.017497, 0.780331, -0.406705, 0.262555], [-0.212173, -0.952083, -0.51453, -0.850199, -0.252882], [0.257035, -1.064036, 0.045301, 0.236715, 0.914071], [-0.58927, 0.516443, -0.228723, -0.356101, 0.656429], [-0.523411, -0.201126, 0.147552, 0.112083, 0.777641]], "network.0.bias": [-0.127561, 0.297986, 0.605072, -0.657815, 0.584249, -0.36692, 0.181124], "network.2.weight": [[0.497165, -0.155355, -0.332425, -0.957689, -0.901536, -0.87692, -0.146271], [0.202697, -0.24576, -0.182747, -0.731977, 1.210312, 0.823351, 1.054784], [-0.392551, 0.578269, 0.440751, 0.574676, 0.171198, 0.693322, 0.703967], [-0.959209, -0.280455, 0.425911, -0.458281, 0.599015, 0.197253, -0.499312], [-0.102502, 0.429587, 0.048675, 0.453182, -0.406175, -0.436273, 0.429562], [-0.063793, -0.145623, -0.277694, 0.497039, 0.910633, 0.987789, 0.980842], [-1.027065, -0.472693, 0.64696, -0.825402, 0.736388, -0.327493, -0.656264]], "network.2.bias": [0.214444, 0.280584, 0.119162, 0.029349, 0.213713, -0.47846, -0.157329], "network.4.weight": [[-0.598462, -1.330702, 0.411717, 0.576989, 0.338649, -0.639837, 0.381027], [0.829125, 0.039945, -0.643921, -0.963451, 0.479707, -0.255437, -0.785485], [0.207782, 0.166353, 0.157396, 0.879262, -0.150451, -0.241788, 0.656867], [0.358681, -0.57418, -1.057963, -0.637075, -0.721958, -0.628365, -0.330681], [-0.726335, -0.06434, 0.168679, -0.515565, -0.268687, -0.160505, -0.418755], [-0.586524, -0.534601, 0.582871, -0.469872, 0.466317, -0.52105, -0.234313], [-0.352675, 0.472256, 0.473258, -0.571458, -0.00516, 0.367982, -0.994298]], "network.4.bias": [-0.094217, 0.522001, -0.165238, -0.541072, -0.054067, -0.237263, -0.037458], "network.6.weight": [[0.013098, -0.786455, -0.112815, 0.164049, 0.088014, 0.672336, 0.688225], [-1.158869, 0.341488, 0.726577, -0.531323, -0.235773, -0.474722, -0.499868], [-0.605961, -0.31071, 0.415456, 0.020366, -0.511614, -0.472214, -0.960318], [-1.147665, 0.771413, 0.385493, -0.310717, -0.697772, -0.438034, -0.351138], [1.286268, -0.149713, 0.417499, 0.183909, 0.077299, 0.981541, -0.527945], [0.246059, -0.418919, -0.211301, 0.189951, 0.051627, 1.068486, 0.601119], [0.100484, 0.476896, 0.403582, -0.551817, -0.362095, -0.252913, 0.143732]], "network.6.bias": [0.559174, 0.617265, -0.655867, 0.616363, 0.092757, 0.011867, -0.187468], "network.8.weight": [[-0.621686, 0.609058, -0.082226, 0.731665, -0.830145, -0.413357, -0.111564]], "network.8.bias": [-0.114158]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6974546313285828, "train_acc": 0.56, "val_loss": 0.7094525098800659, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6745566129684448, "train_acc": 0.565, "val_loss": 0.6448755860328674, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7199852168560028, "train_acc": 0.71, "val_loss": 0.6324295997619629, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5426331162452698, "train_acc": 0.755, "val_loss": 0.5160368084907532, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.489254891872406, "train_acc": 0.79, "val_loss": 0.512916624546051, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4230359196662903, "train_acc": 0.805, "val_loss": 0.46586287021636963, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2970518171787262, "train_acc": 0.9, "val_loss": 0.2514543831348419, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2393241450190544, "train_acc": 0.925, "val_loss": 0.22872284054756165, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.17052209377288818, "train_acc": 0.945, "val_loss": 0.6539274454116821, "val_acc": 0.72}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2747272402048111, "train_acc": 0.9, "val_loss": 0.1917438954114914, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16601362824440002, "train_acc": 0.95, "val_loss": 0.23862537741661072, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1651272028684616, "train_acc": 0.945, "val_loss": 0.2946782410144806, "val_acc": 0.88}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7094525098800659, "final_val_loss": 0.6448755860328674, "initial_val_acc": 0.48, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6324295997619629, "final_val_loss": 0.2946782410144806, "initial_val_acc": 0.62, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
71
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.66, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.09416931889116947, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "has_majority", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["has_majority"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[27.351279, 30.652971, 32.088974, 32.474101, 227.832563], [28.306604, 30.178433, 32.061211, 32.477339, 242.103859], [24.012370, 25.225337, 26.065524, 26.593530, 208.576858], [26.068874, 28.967927, 29.246235, 31.685744, 149.838839], [27.833282, 30.874928, 33.370262, 38.294445, 280.634277], [20.055753, 23.357496, 24.252100, 27.212341, 27.421654], [17.889540, 18.323173, 20.818416, 21.122340, 36.520825]]
### 2
fourier: [[12.035922, 12.551452, 13.776296, 13.904766, 122.130519], [31.217626, 34.943494, 35.809744, 37.317345, 319.007133], [25.804530, 27.148137, 28.745731, 30.494783, 227.902717], [11.612202, 12.173380, 12.626120, 13.756648, 16.268838], [25.454476, 25.745914, 27.917341, 27.931023, 180.165904], [34.861437, 35.267624, 36.466593, 41.214210, 337.042966], [13.276837, 13.295716, 14.274930, 16.221631, 114.492314]]
### 4
fourier: [[22.470998, 22.668220, 24.403829, 25.523981, 174.577372], [26.856102, 27.515103, 29.905541, 29.968200, 239.690393], [14.623794, 14.975272, 16.336451, 16.805953, 124.964106], [40.161334, 40.334400, 44.184002, 44.999623, 337.328916], [15.849890, 15.953286, 16.929348, 18.377833, 150.986629], [40.522185, 42.813995, 47.382583, 47.391392, 314.030864], [26.627883, 26.714176, 29.200166, 30.186516, 238.258615]]
### 6
fourier: [[4.960611, 5.633650, 5.783760, 6.484745, 54.148012], [17.071787, 17.370809, 18.981371, 19.724570, 158.840847], [7.300327, 7.510571, 8.176302, 8.421265, 84.911717], [7.128256, 8.040730, 8.125442, 8.295802, 89.628805], [0.653447, 0.665301, 0.792786, 0.859636, 17.077584], [33.382461, 34.274382, 38.006791, 38.541158, 292.885408], [8.402481, 8.492069, 9.369043, 9.563857, 85.067747]]
### 8
fourier: [[10.293614, 11.041239, 11.539634, 12.130150, 122.562554], [5.173288, 5.545985, 5.811914, 6.337014, 52.749660], [0.289519, 0.290829, 0.294058, 0.380147, 32.599038], [4.902006, 5.090455, 5.493711, 5.933264, 18.564085], [2.013244, 2.172419, 2.308427, 2.372511, 19.158486], [10.480789, 10.933611, 11.697353, 12.281438, 115.195955], [4.504810, 4.581320, 4.879117, 5.052623, 5.074629]]
### 10
fourier: [[0.354921, 0.377628, 0.411692, 0.428775, 45.300388], [1.471818, 1.485487, 1.684233, 1.685439, 12.528116], [2.494943, 2.772379, 2.937449, 3.040560, 4.736679], [3.072521, 3.311482, 3.468380, 3.756096, 18.802265], [4.370811, 4.891030, 5.142612, 5.348228, 26.830926], [1.535052, 1.539104, 1.682764, 1.823561, 41.755946], [4.214447, 4.612593, 4.880131, 5.134054, 28.628714]]
### 12
fourier: [[1.520878, 1.566702, 1.678755, 1.752688, 4.287816]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
has_majority
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[27.351279, 30.652971, 32.088974, 32.474101, 227.832563], [28.306604, 30.178433, 32.061211, 32.477339, 242.103859], [24.012370, 25.225337, 26.065524, 26.593530, 208.576858], [26.068874, 28.967927, 29.246235, 31.685744, 149.838839], [27.833282, 30.874928, 33.370262, 38.294445, 280.634277], [20.055753, 23.357496, 24.252100, 27.212341, 27.421654], [17.889540, 18.323173, 20.818416, 21.122340, 36.520825]]
### 2
fourier: [[12.035922, 12.551452, 13.776296, 13.904766, 122.130519], [31.217626, 34.943494, 35.809744, 37.317345, 319.007133], [25.804530, 27.148137, 28.745731, 30.494783, 227.902717], [11.612202, 12.173380, 12.626120, 13.756648, 16.268838], [25.454476, 25.745914, 27.917341, 27.931023, 180.165904], [34.861437, 35.267624, 36.466593, 41.214210, 337.042966], [13.276837, 13.295716, 14.274930, 16.221631, 114.492314]]
### 4
fourier: [[22.470998, 22.668220, 24.403829, 25.523981, 174.577372], [26.856102, 27.515103, 29.905541, 29.968200, 239.690393], [14.623794, 14.975272, 16.336451, 16.805953, 124.964106], [40.161334, 40.334400, 44.184002, 44.999623, 337.328916], [15.849890, 15.953286, 16.929348, 18.377833, 150.986629], [40.522185, 42.813995, 47.382583, 47.391392, 314.030864], [26.627883, 26.714176, 29.200166, 30.186516, 238.258615]]
### 6
fourier: [[4.960611, 5.633650, 5.783760, 6.484745, 54.148012], [17.071787, 17.370809, 18.981371, 19.724570, 158.840847], [7.300327, 7.510571, 8.176302, 8.421265, 84.911717], [7.128256, 8.040730, 8.125442, 8.295802, 89.628805], [0.653447, 0.665301, 0.792786, 0.859636, 17.077584], [33.382461, 34.274382, 38.006791, 38.541158, 292.885408], [8.402481, 8.492069, 9.369043, 9.563857, 85.067747]]
### 8
fourier: [[10.293614, 11.041239, 11.539634, 12.130150, 122.562554], [5.173288, 5.545985, 5.811914, 6.337014, 52.749660], [0.289519, 0.290829, 0.294058, 0.380147, 32.599038], [4.902006, 5.090455, 5.493711, 5.933264, 18.564085], [2.013244, 2.172419, 2.308427, 2.372511, 19.158486], [10.480789, 10.933611, 11.697353, 12.281438, 115.195955], [4.504810, 4.581320, 4.879117, 5.052623, 5.074629]]
### 10
fourier: [[0.354921, 0.377628, 0.411692, 0.428775, 45.300388], [1.471818, 1.485487, 1.684233, 1.685439, 12.528116], [2.494943, 2.772379, 2.937449, 3.040560, 4.736679], [3.072521, 3.311482, 3.468380, 3.756096, 18.802265], [4.370811, 4.891030, 5.142612, 5.348228, 26.830926], [1.535052, 1.539104, 1.682764, 1.823561, 41.755946], [4.214447, 4.612593, 4.880131, 5.134054, 28.628714]]
### 12
fourier: [[1.520878, 1.566702, 1.678755, 1.752688, 4.287816]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
has_majority
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.35127936668738, 30.652970610875254, 32.08897432946334, 32.474100664803125, 227.83256269991398]}, "1": {"fourier": [28.306603841590146, 30.178433155116398, 32.061210512353924, 32.477339025264186, 242.10385878384113]}, "2": {"fourier": [24.012369552157402, 25.225337139095394, 26.0655237381678, 26.593530113493895, 208.576857984066]}, "3": {"fourier": [26.068873717109433, 28.967927244361476, 29.246234572563992, 31.6857443675582, 149.8388391137123]}, "4": {"fourier": [27.833282367697, 30.87492818491125, 33.37026192765174, 38.29444512535911, 280.6342766582966]}, "5": {"fourier": [20.05575314555444, 23.357495887048884, 24.252099567429124, 27.21234115509718, 27.42165412770727]}, "6": {"fourier": [17.889539786067214, 18.323173082127003, 20.81841639270647, 21.122340097967417, 36.52082482725382]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": 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"dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.015371, 0.41787, 0.358511, 0.479003, 0.157861], [-0.260282, 0.503917, 0.485608, 0.50658, -0.146632], [-0.172591, 0.475803, 0.130786, 0.343096, 0.351434], [-0.271338, -0.147127, 0.617886, 0.497176, 0.278563], [-0.303737, -0.369945, -0.414301, -0.173619, -0.358026], [-0.600755, -0.09659, 0.048033, 0.317355, 0.085667], [-0.55383, -0.070861, 0.232665, 0.016803, 0.008779]], "network.0.bias": [-0.181631, 0.175834, 0.2229, -0.429783, -0.386742, 0.002517, -0.120323], "network.2.weight": [[0.171978, 0.384564, -0.153925, -0.00952, -0.133078, -0.055137, 0.035747], [-0.423464, -0.255678, -0.575806, 0.014072, 0.08965, -0.207519, -0.002788], [0.391076, 0.466788, 0.05255, -0.01928, -0.389827, 0.398018, 0.077116], [-0.485978, -0.04732, 0.532116, -0.431859, -0.29631, 0.040655, 0.393518], [0.257025, 0.121803, 0.442519, 0.13626, 0.533153, 0.460821, 0.020241], [0.521634, 0.318055, 0.172447, 0.47631, 0.128477, -0.09253, 0.102051], [-0.248487, 0.211948, -0.603589, 0.040064, -0.162536, 0.57112, -0.123917]], "network.2.bias": [0.276549, -0.358236, -0.031691, 0.628155, -0.493547, 0.331419, -0.153096], "network.4.weight": [[-0.203555, 0.020946, 0.047487, 0.636113, 0.001695, -0.547646, 0.131056], [0.346003, 0.162456, 0.515628, -0.137056, -0.119011, 0.328567, -0.220929], [0.031053, 0.522055, -0.011363, -0.243331, 0.593721, -0.008673, -0.009763], [-0.598975, -0.288176, -0.596768, 0.574516, -0.02614, -0.416649, 0.40267], [-0.437633, -0.125551, 0.116542, -0.381219, -0.501813, -0.093354, -0.348423], [0.15131, 0.101779, 0.482939, -0.533128, 0.539752, 0.378527, -0.057644], [-0.216906, -0.071037, -0.370426, -0.045633, -0.102931, -0.34404, 0.056284]], "network.4.bias": [0.114752, -0.066278, 0.246473, 0.055433, 0.08947, -0.339214, 0.095335], "network.6.weight": [[0.503844, 0.133401, -0.022478, 0.554227, 0.318944, 0.06009, 0.36742], [0.238202, 0.135803, -0.144905, -0.020128, -0.057335, 0.386461, -0.37088], [-0.375905, -0.202564, -0.110688, 0.141727, -0.351516, -0.014148, -0.154149], [0.16496, 0.331179, -0.260801, 0.038862, -0.000745, 0.057126, -0.319661], [0.048685, -0.064746, 0.19531, -0.152249, 0.195341, -0.028609, -0.370427], [-0.039028, -0.404541, -0.386221, 0.001977, -0.200186, -0.43054, 0.330563], [0.058446, 0.022967, 0.161342, 0.262836, 0.12703, -0.276677, -0.258151]], "network.6.bias": [0.034348, 0.217901, -0.185688, 0.264894, -0.186615, -0.105415, -0.25096], "network.8.weight": [[-0.265468, -0.332023, 0.08912, -0.46528, -0.118066, 0.048189, 0.373536], [0.47019, 0.204302, 0.286321, -0.089418, 0.05427, 0.093337, -0.25738], [-0.185436, 0.097596, 0.128323, -0.067587, 0.041703, -0.052524, 0.291706], [0.361507, 0.272308, 0.335409, -0.214836, -0.161188, 0.054628, 0.05691], [-0.23667, 0.250672, -0.281129, -0.132785, -0.113525, 0.060059, -0.010057], [-0.206905, -0.494542, 0.373962, -0.142868, -0.096906, -0.061417, 0.06385], [-0.275987, 0.318835, 0.351312, 0.069364, -0.054853, 0.254733, 0.264601]], "network.8.bias": [-0.152741, 0.031696, -0.355585, -0.277877, 0.04509, -0.140376, -0.41153], "network.10.weight": [[-0.049923, -0.046757, -0.33683, 0.040117, -0.119861, 0.051606, -0.012554], [-0.268946, 0.03284, 0.098332, -0.32461, -0.321419, 0.28671, 0.116672], [0.072205, -0.032616, 0.148591, -0.261597, -0.280171, -0.249944, -0.263648], [0.037939, -0.529486, 0.216762, -0.197952, 0.081328, -0.070836, 0.10101], [-0.106267, -0.104892, 0.062454, -0.477727, -0.361506, 0.017296, -0.441493], [0.075019, -0.343319, 0.101234, 0.067812, -0.125627, 0.100439, 0.091689], [0.12413, 0.292748, -0.047042, 0.2551, 0.381428, -0.046209, 0.332091]], "network.10.bias": [-0.458616, -0.025485, 0.235633, 0.119019, 0.024799, -0.266358, -0.047322], "network.12.weight": [[-0.068289, -0.151999, 0.266249, -0.042073, 0.069935, -0.10287, -0.275464]], "network.12.bias": [0.108531]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7190490067005157, "train_acc": 0.48, "val_loss": 0.8147441744804382, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6622903645038605, "train_acc": 0.605, "val_loss": 0.7141209244728088, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.730752021074295, "train_acc": 0.525, "val_loss": 0.6616507172584534, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6894484460353851, "train_acc": 0.585, "val_loss": 0.6744592785835266, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7081606388092041, "train_acc": 0.475, "val_loss": 0.6775212287902832, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.7035166919231415, "train_acc": 0.475, "val_loss": 0.6812474131584167, "val_acc": 0.6}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.8147441744804382, "final_val_loss": 0.7141209244728088, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6616507172584534, "final_val_loss": 0.6812474131584167, "initial_val_acc": 0.66, "final_val_acc": 0.6, "best_val_acc": 0.66, "best_epoch": 2}, "improvement": 0.26, "first_improvement_epoch": 1}}
|
72
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.019359730823269184, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.10.weight": [
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[6.795440, 7.509875, 7.585019, 8.080276, 41.999686], [22.184454, 22.296861, 24.296235, 26.996110, 231.945824], [21.681419, 22.876170, 24.270734, 28.260334, 176.109078], [25.307986, 26.025484, 27.967081, 28.417541, 135.188550], [26.938371, 28.866771, 30.122375, 35.273376, 106.883066], [17.789329, 21.500616, 22.449075, 24.352524, 61.192157], [30.210870, 34.966266, 36.815024, 41.500283, 250.684231], [21.306228, 21.881952, 23.165329, 24.095972, 216.500555]]
### 2
fourier: [[18.453580, 20.286220, 20.969858, 21.035619, 135.167754], [8.593874, 9.253633, 9.541931, 9.671014, 20.600043], [13.056118, 13.574301, 14.322961, 15.815504, 115.746125], [23.654542, 23.713266, 24.255387, 24.724495, 112.684348], [10.896948, 11.019554, 11.152626, 12.672236, 75.936662], [6.166736, 6.292556, 6.524436, 7.277407, 22.691580], [6.758324, 6.987965, 7.789067, 7.812342, 7.867237], [19.800337, 22.121191, 22.369829, 26.783102, 210.981294]]
### 4
fourier: [[15.946823, 16.762835, 17.995602, 20.582500, 102.176086], [9.723636, 9.889308, 9.974224, 10.023208, 104.927842], [16.670170, 17.624021, 17.942322, 18.183446, 73.149735], [21.316395, 24.034458, 26.297901, 26.315311, 162.050515], [14.968832, 15.950445, 17.002147, 17.086025, 121.016295], [5.505979, 5.735112, 6.495373, 6.728703, 41.440820], [20.870323, 22.471623, 22.519364, 22.615476, 244.608759], [6.834876, 7.228085, 7.691814, 7.798592, 8.525266]]
### 6
fourier: [[15.864990, 18.959681, 19.985395, 20.451738, 167.186139], [15.330518, 16.793793, 18.038446, 18.250430, 40.554723], [10.496005, 11.900130, 12.363773, 12.536155, 25.635501], [31.301523, 31.493612, 31.552971, 32.647248, 208.076017], [12.756033, 13.304830, 14.682347, 15.884063, 177.419365], [16.751809, 18.520029, 19.169296, 20.127658, 27.658943], [4.373374, 4.461786, 4.772675, 5.095369, 69.729008], [18.365268, 21.126131, 22.285255, 22.642524, 205.694309]]
### 8
fourier: [[3.683493, 3.796279, 4.168058, 4.217339, 73.851202], [14.871575, 17.395199, 18.171119, 18.239699, 142.193974], [19.127381, 21.157734, 22.237803, 23.364723, 75.482184], [20.397401, 23.509352, 24.265690, 25.120573, 28.422601], [14.375421, 15.194401, 15.312994, 15.992744, 135.033896], [17.870935, 18.706730, 19.653045, 19.921495, 107.690127], [23.100930, 24.010106, 24.517339, 25.902348, 180.757193], [34.055681, 37.009128, 38.164349, 40.001964, 287.863661]]
### 10
fourier: [[45.167028, 51.208079, 51.571353, 53.842615, 191.962274]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[6.795440, 7.509875, 7.585019, 8.080276, 41.999686], [22.184454, 22.296861, 24.296235, 26.996110, 231.945824], [21.681419, 22.876170, 24.270734, 28.260334, 176.109078], [25.307986, 26.025484, 27.967081, 28.417541, 135.188550], [26.938371, 28.866771, 30.122375, 35.273376, 106.883066], [17.789329, 21.500616, 22.449075, 24.352524, 61.192157], [30.210870, 34.966266, 36.815024, 41.500283, 250.684231], [21.306228, 21.881952, 23.165329, 24.095972, 216.500555]]
### 2
fourier: [[18.453580, 20.286220, 20.969858, 21.035619, 135.167754], [8.593874, 9.253633, 9.541931, 9.671014, 20.600043], [13.056118, 13.574301, 14.322961, 15.815504, 115.746125], [23.654542, 23.713266, 24.255387, 24.724495, 112.684348], [10.896948, 11.019554, 11.152626, 12.672236, 75.936662], [6.166736, 6.292556, 6.524436, 7.277407, 22.691580], [6.758324, 6.987965, 7.789067, 7.812342, 7.867237], [19.800337, 22.121191, 22.369829, 26.783102, 210.981294]]
### 4
fourier: [[15.946823, 16.762835, 17.995602, 20.582500, 102.176086], [9.723636, 9.889308, 9.974224, 10.023208, 104.927842], [16.670170, 17.624021, 17.942322, 18.183446, 73.149735], [21.316395, 24.034458, 26.297901, 26.315311, 162.050515], [14.968832, 15.950445, 17.002147, 17.086025, 121.016295], [5.505979, 5.735112, 6.495373, 6.728703, 41.440820], [20.870323, 22.471623, 22.519364, 22.615476, 244.608759], [6.834876, 7.228085, 7.691814, 7.798592, 8.525266]]
### 6
fourier: [[15.864990, 18.959681, 19.985395, 20.451738, 167.186139], [15.330518, 16.793793, 18.038446, 18.250430, 40.554723], [10.496005, 11.900130, 12.363773, 12.536155, 25.635501], [31.301523, 31.493612, 31.552971, 32.647248, 208.076017], [12.756033, 13.304830, 14.682347, 15.884063, 177.419365], [16.751809, 18.520029, 19.169296, 20.127658, 27.658943], [4.373374, 4.461786, 4.772675, 5.095369, 69.729008], [18.365268, 21.126131, 22.285255, 22.642524, 205.694309]]
### 8
fourier: [[3.683493, 3.796279, 4.168058, 4.217339, 73.851202], [14.871575, 17.395199, 18.171119, 18.239699, 142.193974], [19.127381, 21.157734, 22.237803, 23.364723, 75.482184], [20.397401, 23.509352, 24.265690, 25.120573, 28.422601], [14.375421, 15.194401, 15.312994, 15.992744, 135.033896], [17.870935, 18.706730, 19.653045, 19.921495, 107.690127], [23.100930, 24.010106, 24.517339, 25.902348, 180.757193], [34.055681, 37.009128, 38.164349, 40.001964, 287.863661]]
### 10
fourier: [[45.167028, 51.208079, 51.571353, 53.842615, 191.962274]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [6.79543963904651, 7.509875383264631, 7.585018790352802, 8.080276328787733, 41.999685525894165]}, "1": {"fourier": [22.184453855084485, 22.296860816787603, 24.29623522312581, 26.996110043573182, 231.94582438468933]}, "2": {"fourier": [21.68141878655769, 22.876169671179756, 24.270734090909205, 28.26033417340834, 176.10907804965973]}, "3": {"fourier": [25.307985584522886, 26.025484387230918, 27.967081270630274, 28.417540775178157, 135.1885500997305]}, "4": {"fourier": [26.938371247814814, 28.866770652282604, 30.122374777147744, 35.27337642073681, 106.88306568562984]}, "5": {"fourier": [17.789329184837523, 21.500616247724526, 22.449075097940714, 24.352524103429946, 61.19215743243694]}, "6": {"fourier": [30.210870081929123, 34.966266057566145, 36.81502410034364, 41.50028296431368, 250.68423138186336]}, "7": {"fourier": [21.306228342220628, 21.881951507449838, 23.165329446009327, 24.095971931357866, 216.5005545914173]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [18.45357974997121, 20.2862198820366, 20.969857884245776, 21.035618891114794, 135.16775424778461]}, "1": {"fourier": [8.593873686728028, 9.253632704676344, 9.541930951013287, 9.671014394461645, 20.600042589008808]}, "2": {"fourier": [13.056118187667998, 13.574301369677697, 14.322961420720501, 15.815504313455426, 115.74612452089787]}, "3": {"fourier": [23.65454201031663, 23.71326614237291, 24.25538689582162, 24.724494507221195, 112.6843478679657]}, "4": {"fourier": [10.89694773407192, 11.019554450730164, 11.152626412025066, 12.672236388424956, 75.9366615563631]}, "5": {"fourier": [6.166736035893992, 6.2925559345701085, 6.524435807429696, 7.277406609542706, 22.691580006852746]}, "6": {"fourier": [6.7583242080306, 6.987965434663243, 7.7890669080338935, 7.812342143202912, 7.86723668128252]}, "7": {"fourier": [19.800337289135992, 22.121190776027774, 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"6": {"fourier": [23.100930337099395, 24.01010638189217, 24.517338649606042, 25.90234798438879, 180.75719282962382]}, "7": {"fourier": [34.05568116139513, 37.009128175189176, 38.1643485355281, 40.00196358584538, 287.86366111040115]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [45.16702779530754, 51.208078596711374, 51.57135319312185, 53.84261537379028, 191.96227425336838]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.184047, -0.039629, 0.044728, 0.08603, 0.067646], [0.09476, -0.077482, -0.370693, -0.622049, 0.116152], [-0.130516, -0.306541, -0.255561, -0.278171, -0.259481], [-0.583034, 0.048482, 0.537447, 0.235262, 0.348053], [0.554701, -0.005122, 0.498273, -0.046011, -0.250741], [0.120123, -0.128307, 0.488139, -0.265812, -0.00533], [0.477328, 0.330941, 0.054725, 0.442113, 0.42323], [0.114386, -0.395712, -0.308491, -0.18324, -0.325959]], "network.0.bias": [0.406561, -0.588878, 0.214624, 0.082866, -0.126294, 0.321155, 0.00394, -0.387469], "network.2.weight": [[0.135172, 0.209616, 0.350118, 0.576748, -0.454375, 0.376585, 0.317845, -0.160174], [-0.336469, -0.246296, 0.170789, -0.271742, -0.119557, 0.190159, 0.256105, -0.094476], [0.219436, -0.07058, -0.073055, 0.444878, -0.255899, 0.337371, 0.109529, -0.222526], [-0.153718, 0.176615, 0.27614, -0.357759, 0.392286, 0.182369, 0.368175, -0.224104], [-0.079264, -0.256199, -0.058564, -0.136042, 0.155672, 0.151366, -0.318699, -0.230875], [-0.046545, 0.050686, -0.101527, -0.189192, -0.062703, 0.147307, 0.20323, -0.264856], [0.205271, 0.121279, 0.043777, -0.251381, 0.138882, -0.262585, 0.10418, -0.237089], [-0.048281, -0.03253, 0.07053, 0.456907, 0.3768, 0.103945, 0.311372, -0.268196]], "network.2.bias": [-0.124848, 0.126148, 0.189899, 0.204744, -0.029682, -0.021895, 0.143077, 0.160296], "network.4.weight": [[0.210636, 0.107236, -0.451331, 0.212003, -0.422919, 0.501819, -0.176602, 0.456397], [-0.16572, 0.299019, -0.024961, -0.063962, -0.157509, -0.004753, 0.023641, -0.341818], [-0.161403, 0.171491, -0.22473, 0.379475, 0.107492, -0.089275, 0.458886, 0.275377], [0.577985, -0.189704, 0.379303, -0.152539, 0.098099, -0.229826, -0.265824, 0.425072], [0.458407, -0.175821, 0.210888, -0.095807, -0.171402, 0.016626, -0.530961, 0.139094], [0.057548, 0.145011, 0.436969, -0.124448, 0.222181, 0.192335, 0.211269, -0.221184], [0.420706, -0.029172, 0.551548, 0.149245, 0.320105, -0.234577, -0.039968, 0.385261], [-0.05741, 0.130101, -0.1172, 0.2794, 0.262457, -0.250434, -0.24255, 0.110691]], "network.4.bias": [-0.069043, -0.100457, 0.096337, -0.184288, 0.341714, 0.340258, 0.364547, -0.222913], "network.6.weight": [[-0.079837, -0.148665, 0.046589, 0.273906, 0.107132, 0.42096, 0.446102, -0.18], [0.315774, -0.314594, 0.209813, -0.476526, -0.149939, -0.19215, 0.212042, 0.199841], [0.043266, -0.178514, 0.438411, 0.031583, -0.346424, 0.054668, -0.070352, 0.049552], [0.067033, -0.065745, -0.45723, 0.502786, 0.530869, 0.454922, 0.226319, -0.366017], [0.319002, -0.189181, -0.005407, 0.150528, -0.127539, -0.155354, 0.386642, 0.225616], [0.429587, -0.243286, 0.199378, -0.442101, -0.526839, -0.178374, 0.404476, -0.185997], [0.074137, -0.13654, -0.095609, 0.050549, 0.26414, -0.236983, -0.291044, -0.321768], [-0.056492, -0.204252, 0.058908, 0.113382, 0.476844, 0.29026, 0.482047, -0.073294]], "network.6.bias": [-0.112026, 0.458352, 0.442833, 0.217943, 0.494551, 0.185968, -0.260942, 0.013537], "network.8.weight": [[0.206744, 0.155214, 0.167857, -0.065362, -0.298489, -0.215873, -0.21082, -0.076021], [-0.328189, -0.251389, -0.004341, -0.343955, 0.210999, 0.028858, -0.344922, -0.229612], [-0.330415, 0.215415, 0.374219, -0.232963, 0.394512, 0.41617, -0.211846, 0.149725], [0.046642, 0.502306, 0.290883, -0.511743, 0.387214, -0.006323, -0.294201, -0.052708], [0.169202, 0.148425, -0.13635, -0.305673, -0.088676, 0.14943, 0.296558, -0.319763], [0.421557, -0.217612, -0.099324, 0.134104, 0.239332, -0.36933, -0.197216, -0.077085], [0.007074, 0.137521, 0.003461, 0.419691, 0.139927, -0.455005, -0.294264, 0.370047], [0.06546, -0.134694, -0.269881, 0.502037, 0.452099, -0.285955, -0.231363, 0.553942]], "network.8.bias": [-0.331334, 0.093427, 0.401326, 0.405717, -0.288029, 0.153751, 0.024354, 0.052428], "network.10.weight": [[0.017567, 0.307865, 0.550869, 0.528791, 0.024675, -0.268488, -0.326804, -0.56625]], "network.10.bias": [-0.149598]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801854968070984, "train_acc": 0.545, "val_loss": 0.6367703080177307, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6493808627128601, "train_acc": 0.545, "val_loss": 0.5821906328201294, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5896317362785339, "train_acc": 0.6, "val_loss": 0.4725760519504547, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46335428953170776, "train_acc": 0.91, "val_loss": 0.33758243918418884, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.2988179996609688, "train_acc": 0.92, "val_loss": 0.2236369252204895, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.1975695565342903, "train_acc": 0.935, "val_loss": 0.18571512401103973, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.17621082812547684, "train_acc": 0.945, "val_loss": 0.3682141900062561, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1646261364221573, "train_acc": 0.94, "val_loss": 0.2565600275993347, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.15415358543395996, "train_acc": 0.95, "val_loss": 0.29056981205940247, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6367703080177307, "final_val_loss": 0.5821906328201294, "initial_val_acc": 0.6, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.4725760519504547, "final_val_loss": 0.29056981205940247, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 5}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
73
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4872, "learning_rate": 0.02525648142243843, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.2.weight": [
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"network.8.weight": [
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[13.905901, 15.720757, 17.176215, 19.890784, 40.697188], [13.522090, 13.577401, 14.919789, 21.024062, 47.026146], [19.786270, 21.720262, 23.907895, 23.948855, 27.202222], [21.218396, 22.026612, 22.280799, 23.076463, 35.878355], [24.641631, 24.796197, 25.131216, 26.098396, 175.314064], [11.262125, 12.137434, 12.142916, 15.788337, 67.356154], [26.360095, 26.457951, 26.518514, 29.776872, 163.544351]]
### 2
fourier: [[8.891249, 9.313540, 9.402125, 10.340630, 10.697577], [17.183620, 17.563134, 18.146326, 18.906887, 28.245783], [10.392662, 11.044149, 13.958505, 15.138896, 102.681989], [30.698224, 31.317360, 34.921289, 37.441025, 66.629821], [16.992114, 17.402085, 18.962363, 19.253420, 52.845513], [11.039841, 11.686383, 12.886514, 13.321559, 88.663586], [17.331704, 17.578805, 17.649440, 23.564227, 125.702414]]
### 4
fourier: [[22.125822, 22.766684, 22.767717, 24.264900, 73.837055], [2.921726, 2.970275, 3.048699, 3.394602, 45.655200], [13.261439, 13.307944, 13.663346, 14.399230, 84.002310], [1.692315, 1.738812, 1.805571, 1.850956, 47.897856], [10.695107, 11.362998, 11.373320, 11.571259, 83.796636], [38.401212, 38.401343, 40.130572, 40.706882, 63.512291], [35.560393, 35.689881, 36.725020, 37.499916, 80.299556]]
### 6
fourier: [[25.218555, 26.096306, 26.398200, 27.765856, 81.499252], [0.544853, 0.581043, 0.586315, 0.634641, 23.343697], [1.110439, 1.124287, 1.130047, 1.187557, 32.835876], [7.666746, 7.856078, 7.876371, 8.292980, 27.075310], [11.454346, 11.795175, 11.897555, 12.481630, 41.631532], [31.434354, 32.468119, 32.810916, 34.471121, 81.868178], [21.955751, 22.662875, 22.857105, 24.081627, 78.484542]]
### 8
fourier: [[2.084520, 2.110751, 2.127007, 2.251314, 22.255685], [16.959881, 17.504711, 17.645240, 18.606022, 71.526993], [7.168873, 7.377617, 7.407056, 7.831422, 23.982026], [7.857118, 8.119479, 8.198290, 8.634513, 15.853539], [2.826422, 2.904830, 2.911242, 3.082608, 10.068919], [11.096351, 11.437641, 11.508733, 12.151055, 32.747596], [2.124784, 2.231132, 2.301336, 2.388186, 22.528470]]
### 10
fourier: [[9.144751, 9.898962, 10.151197, 10.305713, 15.219831]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[13.905901, 15.720757, 17.176215, 19.890784, 40.697188], [13.522090, 13.577401, 14.919789, 21.024062, 47.026146], [19.786270, 21.720262, 23.907895, 23.948855, 27.202222], [21.218396, 22.026612, 22.280799, 23.076463, 35.878355], [24.641631, 24.796197, 25.131216, 26.098396, 175.314064], [11.262125, 12.137434, 12.142916, 15.788337, 67.356154], [26.360095, 26.457951, 26.518514, 29.776872, 163.544351]]
### 2
fourier: [[8.891249, 9.313540, 9.402125, 10.340630, 10.697577], [17.183620, 17.563134, 18.146326, 18.906887, 28.245783], [10.392662, 11.044149, 13.958505, 15.138896, 102.681989], [30.698224, 31.317360, 34.921289, 37.441025, 66.629821], [16.992114, 17.402085, 18.962363, 19.253420, 52.845513], [11.039841, 11.686383, 12.886514, 13.321559, 88.663586], [17.331704, 17.578805, 17.649440, 23.564227, 125.702414]]
### 4
fourier: [[22.125822, 22.766684, 22.767717, 24.264900, 73.837055], [2.921726, 2.970275, 3.048699, 3.394602, 45.655200], [13.261439, 13.307944, 13.663346, 14.399230, 84.002310], [1.692315, 1.738812, 1.805571, 1.850956, 47.897856], [10.695107, 11.362998, 11.373320, 11.571259, 83.796636], [38.401212, 38.401343, 40.130572, 40.706882, 63.512291], [35.560393, 35.689881, 36.725020, 37.499916, 80.299556]]
### 6
fourier: [[25.218555, 26.096306, 26.398200, 27.765856, 81.499252], [0.544853, 0.581043, 0.586315, 0.634641, 23.343697], [1.110439, 1.124287, 1.130047, 1.187557, 32.835876], [7.666746, 7.856078, 7.876371, 8.292980, 27.075310], [11.454346, 11.795175, 11.897555, 12.481630, 41.631532], [31.434354, 32.468119, 32.810916, 34.471121, 81.868178], [21.955751, 22.662875, 22.857105, 24.081627, 78.484542]]
### 8
fourier: [[2.084520, 2.110751, 2.127007, 2.251314, 22.255685], [16.959881, 17.504711, 17.645240, 18.606022, 71.526993], [7.168873, 7.377617, 7.407056, 7.831422, 23.982026], [7.857118, 8.119479, 8.198290, 8.634513, 15.853539], [2.826422, 2.904830, 2.911242, 3.082608, 10.068919], [11.096351, 11.437641, 11.508733, 12.151055, 32.747596], [2.124784, 2.231132, 2.301336, 2.388186, 22.528470]]
### 10
fourier: [[9.144751, 9.898962, 10.151197, 10.305713, 15.219831]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.905901288212865, 15.720756759492467, 17.1762154501252, 19.890784161842667, 40.69718770682812]}, "1": {"fourier": [13.522090474085172, 13.577401202412615, 14.919789459216528, 21.02406246156968, 47.02614578604698]}, "2": {"fourier": [19.786270064269562, 21.72026228015012, 23.907895401686755, 23.948854915256845, 27.20222190968203]}, "3": {"fourier": [21.21839562113138, 22.026612487102362, 22.280798656641355, 23.076462878233585, 35.87835514545441]}, "4": {"fourier": [24.641631287763655, 24.79619651552186, 25.13121626990591, 26.098395879739087, 175.31406374275684]}, "5": {"fourier": [11.262125401652744, 12.137433991755659, 12.142915670899919, 15.788336669446165, 67.35615354776382]}, "6": {"fourier": [26.360094866757173, 26.45795119301476, 26.51851414256145, 29.776872336654378, 163.5443511940539]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": 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22.76771749166889, 24.26490011239026, 73.83705531060696]}, "1": {"fourier": [2.921726290582177, 2.9702753583412482, 3.0486990081849323, 3.394601866168329, 45.655199855566025]}, "2": {"fourier": [13.261439180553495, 13.307943503866081, 13.663345725370187, 14.399229874896365, 84.00230997800827]}, "3": {"fourier": [1.6923145251612013, 1.7388124954059752, 1.8055706225330503, 1.8509561716967677, 47.89785599708557]}, "4": {"fourier": [10.695107067674709, 11.362998144376006, 11.373320186329067, 11.571258643700258, 83.7966356575489]}, "5": {"fourier": [38.4012120222691, 38.401343107101226, 40.130572387207, 40.70688154341375, 63.51229102909565]}, "6": {"fourier": [35.56039322747888, 35.68988067505069, 36.72502024016123, 37.49991551023218, 80.29955643415451]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [25.218555111180063, 26.09630596664976, 26.39820009587733, 27.765855644328326, 81.49925226718187]}, "1": {"fourier": [0.5448529508505572, 0.5810428094386402, 0.586315261877386, 0.6346405341133546, 23.343697369098663]}, "2": {"fourier": [1.1104390028837363, 1.1242873787540313, 1.1300465456677193, 1.1875570975667593, 32.83587583899498]}, "3": {"fourier": [7.666745931477575, 7.856078163905421, 7.876370715714466, 8.292979886928054, 27.075309699284844]}, "4": {"fourier": [11.454345566650609, 11.795175486646224, 11.897554918893315, 12.481629587839068, 41.631531957536936]}, "5": {"fourier": [31.434354310662968, 32.46811904154139, 32.81091633856558, 34.47112070623941, 81.86817763745785]}, "6": {"fourier": [21.95575068601129, 22.662874842952544, 22.857105089112828, 24.081626914629737, 78.48454183340073]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [2.0845195979995323, 2.1107514163622914, 2.1270069027160954, 2.2513143489502254, 22.255684703588486]}, "1": {"fourier": [16.959881172611553, 17.50471139460937, 17.645239574606926, 18.60602157337766, 71.52699339389801]}, "2": {"fourier": [7.168872669430664, 7.377616935108555, 7.4070559045539115, 7.831422047262105, 23.982025802135468]}, "3": {"fourier": [7.857117967101767, 8.119479150322093, 8.198290420246918, 8.634512830559133, 15.853539377450943]}, "4": {"fourier": [2.826422151436768, 2.904830057629738, 2.9112416285837415, 3.0826081287401257, 10.068918652832508]}, "5": {"fourier": [11.096350609179044, 11.437641152768565, 11.508733254160592, 12.151055221432797, 32.747595806606114]}, "6": {"fourier": [2.1247843305463947, 2.2311323458866164, 2.301336489589637, 2.3881862277618073, 22.528469741344452]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [9.144750531114596, 9.898961780358574, 10.151197115414544, 10.30571258685002, 15.219830885529518]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.050953, 0.219824, -0.198177, 0.138842, -0.28977], [-0.201327, -0.306814, 0.383915, 0.138227, -0.197216], [-0.106714, 0.381726, 0.396012, -0.28324, -0.514886], [-0.588452, 0.247818, 0.579686, -0.128933, 0.018902], [0.320616, 0.251951, 0.453787, 0.043242, -0.197985], [-0.350523, 0.222685, 0.041655, 0.014154, 0.142427], [0.483237, 0.314286, 0.283212, 0.021523, 0.054689]], "network.0.bias": [-0.315736, 0.476991, -0.240045, -0.278357, 0.293374, 0.485802, -0.062105], "network.2.weight": [[0.308224, 0.321889, 0.124344, -0.208178, -0.174063, 0.417229, -0.122922], [-0.090934, -0.168068, 0.389911, -0.462558, 0.188495, -0.47861, 0.253509], [-0.069891, -0.294072, -0.372371, -0.390551, 0.227954, -0.021381, -0.26342], [-0.247019, -0.598435, -0.326439, -0.281171, 0.44921, -0.601614, 0.669086], [-0.474234, -0.205198, 0.396687, -0.548877, 0.375332, -0.338506, 0.125765], [-0.083343, 0.535956, 0.29313, -0.102036, 0.032684, 0.542682, -0.232874], [-0.200046, 0.033217, -0.343852, -0.513194, 0.011646, -0.028478, -0.419786]], "network.2.bias": [-0.013158, 0.139967, -0.416846, -0.070845, 0.299565, 0.483182, -0.083433], "network.4.weight": [[-0.230726, 0.239856, -0.002026, 0.521593, 0.163485, 0.033505, 0.020905], [0.22677, 0.137324, 0.230275, -0.268035, 0.10768, -0.46867, 0.215905], [-0.042065, -0.195649, 0.250186, -0.339249, -0.061717, -0.101827, -0.373232], [-0.145123, -0.340604, 0.200814, 0.085902, 0.037366, -0.249926, 0.135629], [-0.269393, 0.061076, -0.098111, -0.259155, -0.371985, -0.202141, -0.367364], [-0.393828, 0.396701, 0.016072, 0.630539, 0.460629, -0.461267, -0.36104], [0.153976, 0.380713, 0.08835, 0.61286, 0.455914, -0.354628, 0.213665]], "network.4.bias": [0.083688, 0.057956, -0.347763, -0.192256, -0.206531, 0.12254, 0.131049], "network.6.weight": [[-0.035266, 0.261618, 0.194474, 0.124175, 0.281649, 0.540707, 0.235461], [0.118328, -0.315703, -0.212921, -0.069151, 0.281509, -0.221686, 0.163496], [-0.114038, -0.140902, -0.298385, -0.063347, 0.144932, 0.086608, -0.045666], [-0.446653, -0.165092, -0.006736, -0.251448, -0.356808, 0.293756, -0.232993], [-0.295415, 0.193163, 0.274517, -0.031863, 0.026075, 0.138017, -0.290105], [0.275859, 0.09161, -0.227036, 0.199866, 0.146154, 0.268788, 0.493103], [-0.327229, -0.036653, 0.020781, -0.376689, 0.280247, -0.17599, -0.266174]], "network.6.bias": [0.114081, -0.294612, -0.314639, 0.001021, -0.05985, -0.121552, -0.136369], "network.8.weight": [[0.203686, -0.363902, -0.357183, 0.297713, 0.373433, -0.234046, 0.038723], [0.239692, 0.301581, 0.068374, -0.250092, -0.224707, 0.353769, -0.233145], [0.102669, -0.25017, 0.167204, -0.248882, 0.2177, -0.316255, 0.257154], [-0.205698, 0.104512, 0.104157, 0.098102, 0.147822, -0.086528, 0.168381], [0.078006, 0.315964, -0.444865, 0.133164, 0.1115, -0.155365, 0.187455], [-0.012389, -0.276822, 0.077189, 0.252307, 0.060049, -0.349514, 0.315913], [-0.392131, -0.357801, 0.06755, 0.113688, 0.322733, 0.251637, 0.24048]], "network.8.bias": [-0.204801, 0.234666, 0.48017, 0.446318, 0.191884, -0.013743, -0.139234], "network.10.weight": [[-0.184853, 0.385961, -0.381909, -0.388952, -0.223259, -0.012067, -0.247177]], "network.10.bias": [-0.180951]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909658908843994, "train_acc": 0.57, "val_loss": 0.713081955909729, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6795890629291534, "train_acc": 0.57, "val_loss": 0.7016735076904297, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6725043654441833, "train_acc": 0.57, "val_loss": 0.686604917049408, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6653770804405212, "train_acc": 0.57, "val_loss": 0.6670303344726562, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6562107801437378, "train_acc": 0.505, "val_loss": 0.6269662380218506, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5998765230178833, "train_acc": 0.865, "val_loss": 0.558727502822876, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5183086544275284, "train_acc": 0.93, "val_loss": 0.4523318409919739, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.42657463252544403, "train_acc": 0.935, "val_loss": 0.3762998878955841, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.35301584005355835, "train_acc": 0.935, "val_loss": 0.371431440114975, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3373832702636719, "train_acc": 0.935, "val_loss": 0.3320249319076538, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3002845495939255, "train_acc": 0.92, "val_loss": 0.30831921100616455, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2619764804840088, "train_acc": 0.915, "val_loss": 0.31902945041656494, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.22655537724494934, "train_acc": 0.93, "val_loss": 0.28212958574295044, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.20696675032377243, "train_acc": 0.925, "val_loss": 0.2682543694972992, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.713081955909729, "final_val_loss": 0.6670303344726562, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6269662380218506, "final_val_loss": 0.2682543694972992, "initial_val_acc": 0.82, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.45999999999999996, "first_improvement_epoch": 3}}
|
74
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.76, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7384, "learning_rate": 0.0908679592276421, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "starts_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["starts_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[34.746298, 36.120713, 40.930357, 47.033922, 296.698029], [43.620326, 44.448671, 47.722342, 51.744016, 161.095752], [40.142966, 44.592246, 44.840063, 46.624886, 340.531033], [56.192743, 58.496580, 66.151888, 74.340416, 402.473256], [41.380074, 45.216835, 50.569206, 50.991059, 328.482657]]
### 2
fourier: [[23.479178, 23.495932, 24.623830, 26.861477, 62.613865], [21.927620, 22.151243, 22.610154, 23.236121, 23.653712], [53.625440, 53.765544, 53.888132, 59.092482, 279.803888], [19.798378, 22.476140, 23.623423, 25.191013, 99.615425], [39.364121, 45.698889, 46.607073, 46.899487, 224.368306]]
### 4
fourier: [[1.255408, 1.359520, 1.528040, 1.603959, 81.582370], [24.793530, 25.674644, 27.013290, 27.603511, 111.674479], [42.145896, 42.819052, 43.797991, 45.663829, 154.567378], [4.510316, 4.539394, 5.260891, 5.996269, 51.251119], [5.484106, 5.703197, 5.816822, 6.060146, 51.692467]]
### 6
fourier: [[32.425328, 32.777222, 34.085154, 34.909141, 88.297563], [6.242846, 6.334789, 6.434218, 6.487992, 37.239030], [29.817324, 31.237230, 32.377808, 32.392057, 34.886618], [17.928372, 18.406955, 18.752356, 18.883993, 114.157012], [14.670783, 15.257798, 16.195705, 17.633025, 46.660018]]
### 8
fourier: [[6.714566, 6.871606, 6.990471, 7.356746, 96.403707], [41.686351, 43.846889, 44.515822, 45.765563, 48.228208], [16.841731, 17.796762, 17.852641, 19.231506, 23.785488], [44.287153, 45.094034, 46.314114, 47.461927, 49.532842], [12.706888, 12.857314, 13.056803, 13.169667, 103.169867]]
### 10
fourier: [[25.943061, 27.284723, 27.289094, 27.699593, 95.012121], [24.734002, 25.338566, 25.386084, 25.571195, 70.519092], [16.291125, 16.721284, 17.162888, 17.798943, 18.205049], [25.381762, 27.308747, 27.531467, 28.535000, 43.634154], [72.566467, 72.735765, 73.505335, 74.573024, 127.175261]]
### 12
fourier: [[35.542880, 36.616263, 36.752690, 37.558054, 78.981036]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
starts_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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],
[
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0.015703,
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],
[
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[
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"network.4.weight": [
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[
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],
[
-0.426881,
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[
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1.017843,
0.416527
]
],
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-0.345825,
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0.413322,
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],
"network.12.weight": [
[
-0.023131,
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0.362801,
0.445089,
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]
],
"network.12.bias": [
-0.051932
]
}
## Activation Signature
### 0
fourier: [[34.746298, 36.120713, 40.930357, 47.033922, 296.698029], [43.620326, 44.448671, 47.722342, 51.744016, 161.095752], [40.142966, 44.592246, 44.840063, 46.624886, 340.531033], [56.192743, 58.496580, 66.151888, 74.340416, 402.473256], [41.380074, 45.216835, 50.569206, 50.991059, 328.482657]]
### 2
fourier: [[23.479178, 23.495932, 24.623830, 26.861477, 62.613865], [21.927620, 22.151243, 22.610154, 23.236121, 23.653712], [53.625440, 53.765544, 53.888132, 59.092482, 279.803888], [19.798378, 22.476140, 23.623423, 25.191013, 99.615425], [39.364121, 45.698889, 46.607073, 46.899487, 224.368306]]
### 4
fourier: [[1.255408, 1.359520, 1.528040, 1.603959, 81.582370], [24.793530, 25.674644, 27.013290, 27.603511, 111.674479], [42.145896, 42.819052, 43.797991, 45.663829, 154.567378], [4.510316, 4.539394, 5.260891, 5.996269, 51.251119], [5.484106, 5.703197, 5.816822, 6.060146, 51.692467]]
### 6
fourier: [[32.425328, 32.777222, 34.085154, 34.909141, 88.297563], [6.242846, 6.334789, 6.434218, 6.487992, 37.239030], [29.817324, 31.237230, 32.377808, 32.392057, 34.886618], [17.928372, 18.406955, 18.752356, 18.883993, 114.157012], [14.670783, 15.257798, 16.195705, 17.633025, 46.660018]]
### 8
fourier: [[6.714566, 6.871606, 6.990471, 7.356746, 96.403707], [41.686351, 43.846889, 44.515822, 45.765563, 48.228208], [16.841731, 17.796762, 17.852641, 19.231506, 23.785488], [44.287153, 45.094034, 46.314114, 47.461927, 49.532842], [12.706888, 12.857314, 13.056803, 13.169667, 103.169867]]
### 10
fourier: [[25.943061, 27.284723, 27.289094, 27.699593, 95.012121], [24.734002, 25.338566, 25.386084, 25.571195, 70.519092], [16.291125, 16.721284, 17.162888, 17.798943, 18.205049], [25.381762, 27.308747, 27.531467, 28.535000, 43.634154], [72.566467, 72.735765, 73.505335, 74.573024, 127.175261]]
### 12
fourier: [[35.542880, 36.616263, 36.752690, 37.558054, 78.981036]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
starts_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.042772, -0.396263, -0.127488, -0.243888, -0.959034], [1.192559, 0.403172, -0.00378, -0.062649, -0.367185], [-0.010326, -0.173526, -0.488032, -0.534963, -0.824603], [1.166616, 0.632752, 0.015703, 0.918526, -0.257575], [-0.337991, -0.224007, -0.751629, -0.098387, -0.638115]], "network.0.bias": [-0.655674, 0.166314, -0.270971, 0.182269, -0.252943], "network.2.weight": [[-0.562999, -0.426609, -0.715567, -0.106212, -0.050975], [0.286009, -0.683698, 0.272795, 0.195189, 0.215162], [-0.31708, 0.946335, -0.382607, 0.278158, -0.753277], [-0.202278, -0.131217, -0.05126, -0.275608, -0.029244], [-0.271145, -0.533452, -0.273964, -0.373012, -0.020022]], "network.2.bias": [0.517432, 0.395809, 0.069989, 0.347332, 0.128736], "network.4.weight": [[-0.271657, -0.059418, 0.007563, -0.025284, -0.24338], [-0.695389, -0.54387, -0.500452, 0.358574, 0.602079], [1.14711, -0.471728, 0.762671, 0.613522, 0.469], [-0.296292, 0.413236, -0.034402, -0.469121, -0.292306], [0.756185, -0.218937, -0.052247, 0.42185, -0.006582]], "network.4.bias": [0.917342, 0.572788, -0.488113, 0.522174, -0.386306], "network.6.weight": [[-0.535614, 0.868556, 0.788846, 0.325425, 0.032769], [-0.331822, 0.413596, 0.158843, 0.272116, 0.354569], [-1.166486, 0.071305, 0.717225, -0.581689, -0.088803], [-0.143931, -0.655215, -0.413067, -0.101321, 0.989801], [0.149259, -0.370201, -0.301671, 0.678403, -0.667084]], "network.6.bias": [-0.04734, -0.484946, -0.100612, -0.323777, 0.519056], "network.8.weight": [[-0.318337, 0.694411, -0.006474, -0.123611, -0.382184], [0.876829, 0.131489, 0.317547, 0.451966, -1.042784], [-0.115178, 0.069182, -0.319119, -0.700167, 0.700604], [0.461116, 0.486926, 0.892263, 0.170487, -1.055866], [-0.566696, 0.179081, 0.171256, 0.160322, -0.099524]], "network.8.bias": [-0.45174, -0.083475, 0.09008, 0.121488, -0.56504], "network.10.weight": [[-0.304585, -0.315395, -0.131866, -0.36448, -0.279899], [-0.459569, -0.193607, 0.106286, -0.410738, 0.007502], [-0.604623, 0.185087, 0.584251, -0.500761, -0.465425], [-0.426881, -0.639005, -0.457532, -0.102631, -0.274856], [0.18956, 0.718141, -0.636756, 1.017843, 0.416527]], "network.10.bias": [-0.345825, -0.245496, -0.186914, 0.413322, -0.079338], "network.12.weight": [[-0.023131, -0.041303, 0.362801, 0.445089, -0.507222]], "network.12.bias": [-0.051932]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6908726394176483, "train_acc": 0.445, "val_loss": 0.7261789441108704, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6669046580791473, "train_acc": 0.595, "val_loss": 0.7484025359153748, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.674164891242981, "train_acc": 0.595, "val_loss": 0.765255331993103, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6566388010978699, "train_acc": 0.595, "val_loss": 0.7032978534698486, "val_acc": 0.44}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5907982289791107, "train_acc": 0.595, "val_loss": 0.5811001062393188, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6100955903530121, "train_acc": 0.565, "val_loss": 0.5563254356384277, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5907400548458099, "train_acc": 0.645, "val_loss": 0.6474272012710571, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6237700879573822, "train_acc": 0.595, "val_loss": 0.6231899857521057, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5945935845375061, "train_acc": 0.61, "val_loss": 0.5877441167831421, "val_acc": 0.72}], "summary": {"total_epochs": 9, "degraded_epochs": 5, "improved_epochs": 4, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7261789441108704, "final_val_loss": 0.5811001062393188, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5563254356384277, "final_val_loss": 0.5877441167831421, "initial_val_acc": 0.76, "final_val_acc": 0.72, "best_val_acc": 0.76, "best_epoch": 5}, "improvement": 0.32, "first_improvement_epoch": 4}}
|
75
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.48, "improved_accuracy": 0.68, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6718, "learning_rate": 0.09314226785800217, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "vowel_consonant", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["vowel_consonant"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.8.weight": [
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}
## Activation Signature
### 0
fourier: [[33.292678, 34.586780, 40.885801, 43.703056, 80.829394], [20.323733, 20.324926, 20.593105, 21.800907, 166.220410], [26.743289, 32.349857, 32.741689, 33.029328, 72.516024], [18.833050, 19.293312, 19.902408, 22.385994, 163.535870], [28.465925, 29.297177, 30.642814, 35.676519, 126.055257], [32.881112, 33.419137, 33.595091, 40.629203, 293.834712], [33.003396, 34.197567, 37.153436, 45.974126, 170.240556]]
### 2
fourier: [[28.361767, 29.273701, 39.542530, 40.778512, 50.709916], [19.478241, 22.722161, 24.705990, 27.721405, 68.204087], [18.711231, 19.841369, 21.111724, 26.114832, 225.223820], [17.934368, 20.676813, 21.359577, 21.533929, 161.028774], [17.739569, 19.325751, 20.616637, 25.249847, 197.098516], [12.679237, 12.785105, 12.800697, 16.048998, 62.547628], [28.250897, 29.049189, 38.674776, 39.342915, 46.503863]]
### 4
fourier: [[24.049843, 25.389760, 31.849924, 33.605516, 122.863971], [18.450296, 19.500029, 24.672453, 26.775216, 60.121200], [20.945091, 22.318484, 28.181382, 30.575473, 46.600572], [10.451999, 10.863831, 11.012353, 12.446571, 16.178659], [8.140608, 8.483810, 10.664691, 12.371251, 22.748595], [1.726335, 1.832724, 1.869974, 1.891918, 7.239539], [17.078483, 17.822418, 21.590484, 24.442623, 80.417979]]
### 6
fourier: [[23.833934, 26.005869, 32.855539, 33.657332, 66.455635], [11.224503, 12.120019, 15.336099, 15.688052, 72.967349], [6.194069, 7.156218, 8.515021, 8.865232, 70.893412], [0.596739, 0.675142, 0.703579, 1.020006, 36.537607], [34.136960, 37.999438, 47.455418, 48.075984, 120.537406], [7.464238, 8.102978, 10.143395, 10.353563, 67.085329], [16.846548, 19.658825, 20.961164, 24.684203, 92.854824]]
### 8
fourier: [[23.436666, 27.381208, 31.160383, 33.943691, 85.446436]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
vowel_consonant
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[33.292678, 34.586780, 40.885801, 43.703056, 80.829394], [20.323733, 20.324926, 20.593105, 21.800907, 166.220410], [26.743289, 32.349857, 32.741689, 33.029328, 72.516024], [18.833050, 19.293312, 19.902408, 22.385994, 163.535870], [28.465925, 29.297177, 30.642814, 35.676519, 126.055257], [32.881112, 33.419137, 33.595091, 40.629203, 293.834712], [33.003396, 34.197567, 37.153436, 45.974126, 170.240556]]
### 2
fourier: [[28.361767, 29.273701, 39.542530, 40.778512, 50.709916], [19.478241, 22.722161, 24.705990, 27.721405, 68.204087], [18.711231, 19.841369, 21.111724, 26.114832, 225.223820], [17.934368, 20.676813, 21.359577, 21.533929, 161.028774], [17.739569, 19.325751, 20.616637, 25.249847, 197.098516], [12.679237, 12.785105, 12.800697, 16.048998, 62.547628], [28.250897, 29.049189, 38.674776, 39.342915, 46.503863]]
### 4
fourier: [[24.049843, 25.389760, 31.849924, 33.605516, 122.863971], [18.450296, 19.500029, 24.672453, 26.775216, 60.121200], [20.945091, 22.318484, 28.181382, 30.575473, 46.600572], [10.451999, 10.863831, 11.012353, 12.446571, 16.178659], [8.140608, 8.483810, 10.664691, 12.371251, 22.748595], [1.726335, 1.832724, 1.869974, 1.891918, 7.239539], [17.078483, 17.822418, 21.590484, 24.442623, 80.417979]]
### 6
fourier: [[23.833934, 26.005869, 32.855539, 33.657332, 66.455635], [11.224503, 12.120019, 15.336099, 15.688052, 72.967349], [6.194069, 7.156218, 8.515021, 8.865232, 70.893412], [0.596739, 0.675142, 0.703579, 1.020006, 36.537607], [34.136960, 37.999438, 47.455418, 48.075984, 120.537406], [7.464238, 8.102978, 10.143395, 10.353563, 67.085329], [16.846548, 19.658825, 20.961164, 24.684203, 92.854824]]
### 8
fourier: [[23.436666, 27.381208, 31.160383, 33.943691, 85.446436]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
vowel_consonant
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7236104905605316, "train_acc": 0.405, "val_loss": 0.9656438231468201, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7459802329540253, "train_acc": 0.58, "val_loss": 0.6909915208816528, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6925385892391205, "train_acc": 0.505, "val_loss": 0.6635810136795044, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6443442106246948, "train_acc": 0.63, "val_loss": 0.5962433815002441, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6151679754257202, "train_acc": 0.64, "val_loss": 0.6205556988716125, "val_acc": 0.62}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5982054173946381, "train_acc": 0.64, "val_loss": 0.6126176118850708, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.5950427353382111, "train_acc": 0.655, "val_loss": 0.6218357086181641, "val_acc": 0.64}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.9656438231468201, "final_val_loss": 0.6909915208816528, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.6635810136795044, "final_val_loss": 0.6218357086181641, "initial_val_acc": 0.66, "final_val_acc": 0.64, "best_val_acc": 0.68, "best_epoch": 3}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
76
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6959, "learning_rate": 0.022836103578526626, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.138039, 17.135323, 18.536301, 20.149649, 137.493902], [23.435464, 23.724430, 27.114910, 32.122309, 61.214114], [26.290615, 26.636673, 27.139227, 31.067022, 146.111531], [14.872879, 15.468186, 15.825445, 15.964289, 33.574149], [27.261963, 28.873665, 30.081790, 33.566360, 85.925623], [29.165771, 29.899207, 34.283518, 36.181703, 225.331773]]
### 2
fourier: [[19.071807, 20.108230, 21.054962, 24.266960, 24.880489], [20.842402, 22.185500, 28.128840, 30.190445, 140.648757], [9.164038, 9.753372, 10.057512, 11.136799, 38.456457], [15.181656, 15.457464, 17.367294, 20.131545, 35.411449], [16.581238, 16.907245, 16.907665, 20.806644, 134.687108], [29.970968, 32.718851, 34.421068, 40.663898, 153.167007]]
### 4
fourier: [[9.067217, 9.257320, 9.433613, 9.870555, 63.760437], [19.418704, 20.666295, 22.623096, 26.999333, 122.858119], [19.500065, 20.291649, 20.560833, 25.941001, 97.319798], [19.762706, 20.580737, 21.018178, 24.226912, 24.851854], [8.812920, 9.206836, 10.058008, 10.153855, 76.208074], [5.542900, 5.754346, 5.939797, 6.413106, 76.448635]]
### 6
fourier: [[7.001126, 7.918716, 7.965149, 8.206713, 10.718085], [10.827142, 11.822118, 11.868751, 13.758112, 74.295655], [9.977921, 11.177874, 11.670932, 12.062987, 50.040576], [13.529222, 15.548950, 16.292151, 19.953378, 123.808602], [4.441952, 4.650150, 4.921800, 5.183147, 6.533740], [15.255463, 16.632659, 17.181310, 18.996132, 27.703724]]
### 8
fourier: [[3.225862, 3.405787, 3.683429, 3.983584, 65.454731], [11.985369, 12.431047, 12.897818, 13.945137, 14.497914], [16.563725, 16.963887, 17.143785, 18.191680, 54.797637], [15.719154, 16.543849, 16.602714, 17.429361, 18.484761], [12.046737, 13.633832, 14.203281, 14.739324, 14.863866], [18.442144, 19.453391, 20.235894, 20.616691, 52.788166]]
### 10
fourier: [[17.906886, 19.144729, 19.312770, 19.834992, 47.278899], [17.860833, 19.046893, 19.481197, 20.164321, 20.354984], [17.992224, 19.131315, 19.138865, 20.477140, 39.870518], [19.193311, 19.663100, 20.521528, 20.879234, 48.366300], [23.192764, 24.368915, 24.762768, 25.193808, 32.232716], [18.550559, 19.635240, 19.665625, 19.690448, 27.159503]]
### 12
fourier: [[22.459271, 22.581248, 23.472244, 23.568746, 68.512145]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
0.306347,
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],
[
-0.567525,
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]
],
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],
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[
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[
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"network.12.bias": [
-0.58944
]
}
## Activation Signature
### 0
fourier: [[16.138039, 17.135323, 18.536301, 20.149649, 137.493902], [23.435464, 23.724430, 27.114910, 32.122309, 61.214114], [26.290615, 26.636673, 27.139227, 31.067022, 146.111531], [14.872879, 15.468186, 15.825445, 15.964289, 33.574149], [27.261963, 28.873665, 30.081790, 33.566360, 85.925623], [29.165771, 29.899207, 34.283518, 36.181703, 225.331773]]
### 2
fourier: [[19.071807, 20.108230, 21.054962, 24.266960, 24.880489], [20.842402, 22.185500, 28.128840, 30.190445, 140.648757], [9.164038, 9.753372, 10.057512, 11.136799, 38.456457], [15.181656, 15.457464, 17.367294, 20.131545, 35.411449], [16.581238, 16.907245, 16.907665, 20.806644, 134.687108], [29.970968, 32.718851, 34.421068, 40.663898, 153.167007]]
### 4
fourier: [[9.067217, 9.257320, 9.433613, 9.870555, 63.760437], [19.418704, 20.666295, 22.623096, 26.999333, 122.858119], [19.500065, 20.291649, 20.560833, 25.941001, 97.319798], [19.762706, 20.580737, 21.018178, 24.226912, 24.851854], [8.812920, 9.206836, 10.058008, 10.153855, 76.208074], [5.542900, 5.754346, 5.939797, 6.413106, 76.448635]]
### 6
fourier: [[7.001126, 7.918716, 7.965149, 8.206713, 10.718085], [10.827142, 11.822118, 11.868751, 13.758112, 74.295655], [9.977921, 11.177874, 11.670932, 12.062987, 50.040576], [13.529222, 15.548950, 16.292151, 19.953378, 123.808602], [4.441952, 4.650150, 4.921800, 5.183147, 6.533740], [15.255463, 16.632659, 17.181310, 18.996132, 27.703724]]
### 8
fourier: [[3.225862, 3.405787, 3.683429, 3.983584, 65.454731], [11.985369, 12.431047, 12.897818, 13.945137, 14.497914], [16.563725, 16.963887, 17.143785, 18.191680, 54.797637], [15.719154, 16.543849, 16.602714, 17.429361, 18.484761], [12.046737, 13.633832, 14.203281, 14.739324, 14.863866], [18.442144, 19.453391, 20.235894, 20.616691, 52.788166]]
### 10
fourier: [[17.906886, 19.144729, 19.312770, 19.834992, 47.278899], [17.860833, 19.046893, 19.481197, 20.164321, 20.354984], [17.992224, 19.131315, 19.138865, 20.477140, 39.870518], [19.193311, 19.663100, 20.521528, 20.879234, 48.366300], [23.192764, 24.368915, 24.762768, 25.193808, 32.232716], [18.550559, 19.635240, 19.665625, 19.690448, 27.159503]]
### 12
fourier: [[22.459271, 22.581248, 23.472244, 23.568746, 68.512145]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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20.616691238540838, 52.788166001439095]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [17.9068856182199, 19.144728879547618, 19.31277011704199, 19.83499197548742, 47.27889918163419]}, "1": {"fourier": [17.860832950334157, 19.046892550613553, 19.481196687504667, 20.164320807827586, 20.35498449148197]}, "2": {"fourier": [17.992224336632287, 19.13131548660056, 19.13886514064496, 20.477140254843135, 39.8705178797245]}, "3": {"fourier": [19.193310999144682, 19.66309977420031, 20.521528327933456, 20.879234128290488, 48.36629956960678]}, "4": {"fourier": [23.192763903906446, 24.368914546262726, 24.762768015809833, 25.19380841377137, 32.23271592706442]}, "5": {"fourier": [18.550559207556514, 19.6352401071519, 19.66562508628746, 19.69044848007667, 27.159503385424614]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [22.459271179433507, 22.581247684686364, 23.47224411183825, 23.568746358471476, 68.51214504241943]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.278426, 0.038082, -0.132858, -0.452892, 0.185705], [0.770083, -0.155212, -0.253253, 0.118788, 0.089937], [0.380967, -0.004728, 0.351843, 0.512191, 0.021873], [-0.22159, -0.144264, -0.166744, -0.007628, 0.376265], [0.130124, 0.424958, 0.571937, -0.318416, -0.218662], [-0.516546, 0.319394, 0.683613, 0.132501, 0.538164]], "network.0.bias": [-0.230926, 0.168022, -0.702318, 0.812292, -0.223774, 0.188623], "network.2.weight": [[0.262191, -0.167739, -0.596656, 0.491496, -0.199439, 0.318178], [0.144139, 0.780209, 0.097282, 0.123938, 0.077775, 0.433887], [0.334575, 0.12588, 0.360215, 0.206752, -0.007638, -0.108933], [-0.219609, 0.542728, -0.351606, 0.468581, -0.320418, -0.112598], [0.32713, -0.304299, -0.009745, 0.108193, 0.11469, 0.450939], [-0.246423, 0.654155, 0.5349, -0.025181, 0.417557, 0.199482]], "network.2.bias": [0.204563, -0.440388, -0.051694, 0.164367, 0.468566, -0.673257], "network.4.weight": [[0.018727, -0.559391, 0.260386, 0.425939, -0.042073, 0.132402], [-0.176257, 0.111825, 0.159768, 0.600269, 0.161423, 0.551111], [-0.193139, -0.23872, -0.212455, 0.33174, -0.279211, -0.388618], [0.519791, -0.031453, -0.081187, -0.790051, 0.391689, -0.532195], [-0.105027, -0.188264, -0.081026, -0.251863, -0.319045, -0.037669], [-0.02527, -0.353622, 0.07536, 0.062907, -0.115635, 0.131001]], "network.4.bias": [-0.189898, -0.0726, 0.452445, 0.583846, 0.06181, -0.40191], "network.6.weight": [[-0.369348, -0.336426, -0.958175, 0.080526, -0.100977, -0.141676], [-0.40142, 0.396562, 0.757689, -0.48443, -0.125717, -0.117137], [-0.00921, 0.418707, 0.253656, -0.280162, -0.265367, -0.428775], [-0.314246, -0.768967, 0.089873, -0.194499, 0.249811, 0.321617], [0.140246, -0.259401, -0.286036, -0.067417, -0.163599, -0.405723], [-0.515221, -0.576981, -0.60214, 0.597639, -0.524458, -0.590055]], "network.6.bias": [0.423725, 0.493043, 0.063642, -0.234882, 0.32007, 0.519673], "network.8.weight": [[0.05417, -0.323653, 0.024637, 0.410784, 0.396788, -0.067597], [0.291678, -0.415613, -0.305527, -0.164154, -0.227999, 0.487408], [-0.755893, 0.535564, 0.376339, 0.317314, -0.107941, -0.475926], [0.205895, -0.448888, -0.450034, 0.06827, 0.500726, 0.59485], [0.306347, -0.384274, -0.479905, -0.460256, 0.356853, 0.326656], [-0.567525, 0.406422, 0.884246, -0.029343, -0.25377, -0.41262]], "network.8.bias": [-0.449595, 0.341689, 0.397744, 0.43512, 0.206173, 0.134688], "network.10.weight": [[0.162554, 0.260997, -0.300344, 0.131746, 0.282337, -0.642981], [-0.134475, 0.355911, -0.717647, 0.314546, 0.440799, -0.137225], [0.584022, -0.064253, -0.21136, 0.025749, 0.605563, -0.810966], [-0.632771, -0.257132, 0.344118, -0.435957, -0.809796, 0.342891], [0.18555, 0.621995, -0.425813, 0.480461, 0.071793, -0.603736], [-0.120388, -0.0689, -0.671501, 0.466596, 0.436648, -0.248565]], "network.10.bias": [-0.037613, 0.080241, 0.239689, 0.381283, -0.012435, 0.044755], "network.12.weight": [[0.501583, 0.471341, 0.19229, -0.823962, 0.365967, 0.296953]], "network.12.bias": [-0.58944]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6863128244876862, "train_acc": 0.575, "val_loss": 0.7216653227806091, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68376225233078, "train_acc": 0.575, "val_loss": 0.7107143998146057, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6796487271785736, "train_acc": 0.575, "val_loss": 0.6959373354911804, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6673112511634827, "train_acc": 0.61, "val_loss": 0.6698802709579468, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6366445422172546, "train_acc": 0.72, "val_loss": 0.6238744258880615, "val_acc": 0.68}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5850577652454376, "train_acc": 0.71, "val_loss": 0.5943657159805298, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5520082116127014, "train_acc": 0.75, "val_loss": 0.5866738557815552, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5622672140598297, "train_acc": 0.77, "val_loss": 0.5526233911514282, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5161902606487274, "train_acc": 0.805, "val_loss": 0.5070953369140625, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.47062329947948456, "train_acc": 0.78, "val_loss": 0.4722934067249298, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4251696318387985, "train_acc": 0.835, "val_loss": 0.4313138723373413, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3882131427526474, "train_acc": 0.875, "val_loss": 0.38434645533561707, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3546246886253357, "train_acc": 0.87, "val_loss": 0.3182985186576843, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3058386445045471, "train_acc": 0.89, "val_loss": 0.24656400084495544, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7216653227806091, "final_val_loss": 0.6698802709579468, "initial_val_acc": 0.46, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6238744258880615, "final_val_loss": 0.24656400084495544, "initial_val_acc": 0.68, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
77
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2317, "learning_rate": 0.07825670095370675, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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[
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[
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[
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],
"network.0.bias": [
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## Activation Signature
### 0
fourier: [[23.984983, 25.918037, 26.092309, 27.101464, 30.130075], [28.127382, 28.403948, 30.165757, 37.259333, 57.103178], [24.856142, 25.591699, 25.693131, 26.503583, 117.171820], [16.735688, 16.839172, 17.040768, 19.904489, 54.816513], [19.431115, 23.847191, 24.569020, 25.062747, 161.381792], [25.975919, 26.758094, 27.746056, 28.633273, 73.628617], [37.860767, 38.436693, 39.938488, 41.638044, 105.049605], [27.673578, 30.043568, 31.467804, 32.416787, 150.569754]]
### 2
fourier: [[20.127096, 22.433371, 23.051536, 24.628841, 115.740670], [14.079750, 15.208270, 15.418073, 17.224101, 30.133381], [24.989418, 26.042512, 27.415925, 27.832634, 174.312749], [8.758641, 9.328590, 9.921754, 10.512061, 11.116240], [19.397562, 19.724944, 20.558788, 22.669062, 95.990519], [29.650180, 31.362930, 32.324139, 42.827823, 173.639824], [14.480686, 14.540514, 14.607128, 15.435207, 78.044953], [12.917010, 13.782996, 14.039530, 15.739750, 51.110410]]
### 4
fourier: [[40.345149, 43.065303, 44.025182, 44.882430, 237.045970], [33.078102, 34.107937, 34.899931, 36.946991, 154.133639], [15.121201, 15.484605, 15.856520, 17.985729, 20.415253], [28.542153, 29.258214, 30.496206, 31.997265, 100.256379], [46.254843, 46.291405, 52.977375, 53.345146, 247.010615], [44.237814, 44.920237, 49.513404, 52.272990, 245.445863], [29.397194, 30.540762, 32.158684, 34.423631, 279.993501], [62.243604, 67.592757, 68.164462, 69.855121, 395.477957]]
### 6
fourier: [[115.079641, 121.469206, 125.916147, 128.177368, 662.405685], [108.857456, 109.665665, 120.271964, 122.278333, 560.637773], [106.296145, 114.725342, 115.491911, 118.288031, 602.966990], [128.742744, 129.596228, 140.846692, 145.095531, 649.694801], [127.294665, 132.323499, 139.788799, 141.123329, 650.393671], [153.689689, 155.581143, 167.308743, 172.096646, 761.623106], [140.609120, 147.767286, 154.263172, 154.545813, 814.915429], [31.042881, 32.935366, 36.404693, 38.187626, 164.787910]]
### 8
fourier: [[191.241707, 203.321330, 208.486738, 212.671037, 997.866761]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[23.984983, 25.918037, 26.092309, 27.101464, 30.130075], [28.127382, 28.403948, 30.165757, 37.259333, 57.103178], [24.856142, 25.591699, 25.693131, 26.503583, 117.171820], [16.735688, 16.839172, 17.040768, 19.904489, 54.816513], [19.431115, 23.847191, 24.569020, 25.062747, 161.381792], [25.975919, 26.758094, 27.746056, 28.633273, 73.628617], [37.860767, 38.436693, 39.938488, 41.638044, 105.049605], [27.673578, 30.043568, 31.467804, 32.416787, 150.569754]]
### 2
fourier: [[20.127096, 22.433371, 23.051536, 24.628841, 115.740670], [14.079750, 15.208270, 15.418073, 17.224101, 30.133381], [24.989418, 26.042512, 27.415925, 27.832634, 174.312749], [8.758641, 9.328590, 9.921754, 10.512061, 11.116240], [19.397562, 19.724944, 20.558788, 22.669062, 95.990519], [29.650180, 31.362930, 32.324139, 42.827823, 173.639824], [14.480686, 14.540514, 14.607128, 15.435207, 78.044953], [12.917010, 13.782996, 14.039530, 15.739750, 51.110410]]
### 4
fourier: [[40.345149, 43.065303, 44.025182, 44.882430, 237.045970], [33.078102, 34.107937, 34.899931, 36.946991, 154.133639], [15.121201, 15.484605, 15.856520, 17.985729, 20.415253], [28.542153, 29.258214, 30.496206, 31.997265, 100.256379], [46.254843, 46.291405, 52.977375, 53.345146, 247.010615], [44.237814, 44.920237, 49.513404, 52.272990, 245.445863], [29.397194, 30.540762, 32.158684, 34.423631, 279.993501], [62.243604, 67.592757, 68.164462, 69.855121, 395.477957]]
### 6
fourier: [[115.079641, 121.469206, 125.916147, 128.177368, 662.405685], [108.857456, 109.665665, 120.271964, 122.278333, 560.637773], [106.296145, 114.725342, 115.491911, 118.288031, 602.966990], [128.742744, 129.596228, 140.846692, 145.095531, 649.694801], [127.294665, 132.323499, 139.788799, 141.123329, 650.393671], [153.689689, 155.581143, 167.308743, 172.096646, 761.623106], [140.609120, 147.767286, 154.263172, 154.545813, 814.915429], [31.042881, 32.935366, 36.404693, 38.187626, 164.787910]]
### 8
fourier: [[191.241707, 203.321330, 208.486738, 212.671037, 997.866761]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.40873, -0.228028, -0.124982, 0.531069, -0.269603], [-0.514873, 0.000989, -0.31103, 0.52255, 0.392172], [-0.351183, -0.254521, 0.258032, -0.233759, -0.469674], [-0.485906, 0.01516, 0.044615, -0.030947, 0.031514], [-0.273811, 0.03351, -0.375567, -0.000175, -0.253142], [0.174555, -0.609744, -0.201548, -0.101096, 0.612375], [-0.924891, -0.070839, 0.643703, 0.46744, -0.303261], [0.564516, 0.218992, 0.323075, 0.238981, -0.092908]], "network.0.bias": [0.287796, 0.318859, 0.140458, -0.097712, -0.416349, -0.041686, 0.474274, -0.501327], "network.2.weight": [[0.009583, 0.748859, -0.572511, -0.147826, -0.206158, 0.492898, 0.146965, -0.049307], [-0.554734, 0.036496, -0.114344, 0.063874, -0.397676, 0.160369, -0.335187, 0.095726], [0.483826, 0.543764, -0.41711, -1.028535, -0.544549, 0.124446, 0.507528, -0.130855], [-0.485841, -0.044045, 0.423305, 0.057939, -0.426852, 0.317264, 0.290877, -0.120883], [-0.229859, 0.64109, -0.591746, -0.844215, -0.176456, 0.653056, 0.24696, -0.090415], [0.954005, 0.297875, 0.389313, -0.771154, -0.699492, 0.67323, 0.76851, -0.122745], [0.056263, 0.035831, -0.079767, 0.045231, 0.172104, -0.163093, 0.148943, -0.429854], [0.017726, 0.104895, 0.087715, 0.090136, 0.547881, -0.017957, 0.155055, -0.419954]], "network.2.bias": [0.252783, 0.21066, 0.460557, -0.007165, 0.120351, -0.081864, -0.398668, -0.17579], "network.4.weight": [[0.281836, -0.295604, 0.548562, 0.388167, 0.499421, 0.383174, -0.825118, -0.676459], [0.311392, -0.219312, 0.512629, 0.467524, 0.506404, 0.134096, 0.227037, -0.340194], [0.235589, 0.159576, 0.266458, 0.678675, 0.755687, -0.379237, 0.411448, 0.402218], [0.037153, 0.224711, -0.286061, -0.596036, -0.621596, -0.31288, 0.283943, 0.108662], [0.684711, 0.020997, 0.506402, -0.144224, 0.758663, 0.277771, -0.369897, -0.475538], [0.618308, -0.218177, 0.792353, 0.048819, 0.591422, 0.080498, -0.076658, -0.213868], [-0.439548, -0.205289, -0.426202, 0.711597, -0.271159, -0.247973, 0.905501, 0.731843], [0.720373, -0.078552, 0.554053, 0.316879, 0.774652, 0.71668, -0.628848, -0.559807]], "network.4.bias": [-0.153643, -0.444047, -0.740822, 0.723321, -0.409527, -0.281481, -0.945207, 0.140024], "network.6.weight": [[0.241119, 0.406781, -0.132193, -0.111468, 0.568061, 0.560229, 0.04514, 0.683081], [-0.201244, -0.475999, -0.34789, 0.617008, -0.992683, -0.424282, -0.300168, -0.236836], [0.738938, -0.087504, -0.173454, -0.262786, 0.86748, 0.19412, 0.315815, 0.509065], [-0.338337, -0.405461, -0.491158, 0.879567, -0.806328, -0.862438, -0.083171, -0.2861], [-0.594115, -0.461174, 0.109681, 0.740636, -0.80171, -1.001837, -0.49369, -0.091806], [-0.806036, -0.690124, -0.739824, 0.872494, -0.846391, -0.577984, -0.674269, -0.363304], [0.748782, 0.396989, 0.133482, -0.181516, 0.341048, 0.745348, 0.190391, 0.749954], [0.220748, -0.446325, -0.230869, 0.132711, -0.336416, -0.264123, -0.135584, 0.04656]], "network.6.bias": [-0.005964, 0.050971, -0.124898, 0.21331, 0.318724, 0.415834, 0.134658, -0.148103], "network.8.weight": [[-0.488158, 0.282457, -0.551909, 0.67458, 0.490252, 0.930421, -0.471372, -0.007759]], "network.8.bias": [-0.009981]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909193396568298, "train_acc": 0.58, "val_loss": 0.679270327091217, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.586259126663208, "train_acc": 0.58, "val_loss": 0.45793455839157104, "val_acc": 0.82}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5249292999505997, "train_acc": 0.75, "val_loss": 0.40037956833839417, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3073342517018318, "train_acc": 0.865, "val_loss": 0.14859062433242798, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.17183619737625122, "train_acc": 0.95, "val_loss": 0.11363288760185242, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.13584689795970917, "train_acc": 0.96, "val_loss": 0.1886463612318039, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.12529777735471725, "train_acc": 0.965, "val_loss": 0.18568915128707886, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.17679274827241898, "train_acc": 0.96, "val_loss": 0.16221502423286438, "val_acc": 0.96}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.679270327091217, "final_val_loss": 0.45793455839157104, "initial_val_acc": 0.48, "final_val_acc": 0.82, "best_val_acc": 0.82}, "improved_stage": {"initial_val_loss": 0.40037956833839417, "final_val_loss": 0.16221502423286438, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.16000000000000003, "first_improvement_epoch": 1}}
|
78
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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],
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[
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],
[
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[
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0.58716
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[
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]
],
"network.2.bias": [
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[
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[
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[
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[
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"network.10.weight": [
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[
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"network.12.weight": [
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[19.012302, 20.183759, 22.998447, 23.842206, 123.750911], [33.791073, 36.665282, 42.279368, 46.378579, 279.451813], [24.824426, 26.448532, 27.861883, 30.798023, 199.870862], [22.024082, 22.087596, 23.927594, 26.107112, 182.536703], [23.130908, 23.652175, 25.539592, 26.442347, 72.651651], [21.777380, 21.958097, 22.248773, 22.355138, 73.582803]]
### 2
fourier: [[26.176099, 27.027197, 27.195364, 28.151757, 61.704170], [16.096783, 17.359014, 20.981867, 21.580637, 162.526049], [17.919286, 18.533109, 18.816879, 23.820086, 138.058059], [4.356018, 4.600462, 5.590774, 6.209705, 91.158820], [27.020511, 27.051035, 29.016387, 31.929962, 33.159519], [18.803186, 18.952225, 21.103187, 22.963832, 195.676043]]
### 4
fourier: [[19.056095, 20.252504, 23.350234, 24.040735, 69.914959], [22.017727, 25.743301, 27.944013, 29.354316, 101.095111], [2.350265, 2.691237, 3.016820, 3.828427, 65.607154], [15.780780, 16.363208, 18.057299, 19.252810, 48.267987], [8.141272, 8.403279, 9.048403, 9.858515, 118.514637], [14.689296, 16.748110, 19.089212, 19.274831, 62.998391]]
### 6
fourier: [[12.393381, 12.761861, 12.921532, 14.432860, 44.039847], [1.257312, 1.305292, 1.313064, 1.440538, 36.683380], [7.390843, 7.604493, 7.676231, 8.713551, 61.549342], [26.922409, 27.208260, 27.558452, 31.035889, 213.983903], [8.435852, 9.009804, 9.049569, 9.993100, 26.929734], [0.457998, 0.462824, 0.463899, 0.483279, 20.726648]]
### 8
fourier: [[17.232655, 18.284261, 18.714504, 20.924806, 137.468938], [24.174829, 25.696772, 26.363735, 29.440294, 182.571812], [9.794594, 9.993107, 10.080295, 11.373585, 90.288826], [5.040718, 5.341230, 5.869151, 6.582094, 111.896118], [2.728823, 2.894070, 2.983287, 3.321355, 9.763873], [3.746965, 3.954067, 4.004441, 4.505088, 25.486592]]
### 10
fourier: [[1.878455, 2.101529, 2.252344, 2.454521, 37.511475], [8.536662, 9.017841, 10.049387, 10.953386, 11.952198], [15.866185, 16.823522, 17.509873, 19.363107, 131.399840], [25.209363, 25.614355, 25.764944, 29.109899, 210.560685], [14.572510, 14.963093, 14.991790, 16.991888, 111.766875], [16.338172, 17.944812, 19.219868, 21.119193, 28.520295]]
### 12
fourier: [[34.191541, 37.157129, 39.644449, 43.545201, 212.296434]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.031879
]
],
"network.0.bias": [
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0.353857,
0.076249,
0.110437,
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],
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]
],
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],
"network.4.bias": [
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"network.6.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[19.012302, 20.183759, 22.998447, 23.842206, 123.750911], [33.791073, 36.665282, 42.279368, 46.378579, 279.451813], [24.824426, 26.448532, 27.861883, 30.798023, 199.870862], [22.024082, 22.087596, 23.927594, 26.107112, 182.536703], [23.130908, 23.652175, 25.539592, 26.442347, 72.651651], [21.777380, 21.958097, 22.248773, 22.355138, 73.582803]]
### 2
fourier: [[26.176099, 27.027197, 27.195364, 28.151757, 61.704170], [16.096783, 17.359014, 20.981867, 21.580637, 162.526049], [17.919286, 18.533109, 18.816879, 23.820086, 138.058059], [4.356018, 4.600462, 5.590774, 6.209705, 91.158820], [27.020511, 27.051035, 29.016387, 31.929962, 33.159519], [18.803186, 18.952225, 21.103187, 22.963832, 195.676043]]
### 4
fourier: [[19.056095, 20.252504, 23.350234, 24.040735, 69.914959], [22.017727, 25.743301, 27.944013, 29.354316, 101.095111], [2.350265, 2.691237, 3.016820, 3.828427, 65.607154], [15.780780, 16.363208, 18.057299, 19.252810, 48.267987], [8.141272, 8.403279, 9.048403, 9.858515, 118.514637], [14.689296, 16.748110, 19.089212, 19.274831, 62.998391]]
### 6
fourier: [[12.393381, 12.761861, 12.921532, 14.432860, 44.039847], [1.257312, 1.305292, 1.313064, 1.440538, 36.683380], [7.390843, 7.604493, 7.676231, 8.713551, 61.549342], [26.922409, 27.208260, 27.558452, 31.035889, 213.983903], [8.435852, 9.009804, 9.049569, 9.993100, 26.929734], [0.457998, 0.462824, 0.463899, 0.483279, 20.726648]]
### 8
fourier: [[17.232655, 18.284261, 18.714504, 20.924806, 137.468938], [24.174829, 25.696772, 26.363735, 29.440294, 182.571812], [9.794594, 9.993107, 10.080295, 11.373585, 90.288826], [5.040718, 5.341230, 5.869151, 6.582094, 111.896118], [2.728823, 2.894070, 2.983287, 3.321355, 9.763873], [3.746965, 3.954067, 4.004441, 4.505088, 25.486592]]
### 10
fourier: [[1.878455, 2.101529, 2.252344, 2.454521, 37.511475], [8.536662, 9.017841, 10.049387, 10.953386, 11.952198], [15.866185, 16.823522, 17.509873, 19.363107, 131.399840], [25.209363, 25.614355, 25.764944, 29.109899, 210.560685], [14.572510, 14.963093, 14.991790, 16.991888, 111.766875], [16.338172, 17.944812, 19.219868, 21.119193, 28.520295]]
### 12
fourier: [[34.191541, 37.157129, 39.644449, 43.545201, 212.296434]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.012301890715584, 20.18375939631619, 22.998447132575713, 23.84220569819745, 123.75091102719307]}, "1": {"fourier": [33.791073465636714, 36.66528209699241, 42.27936815236704, 46.37857865252387, 279.4518129378557]}, "2": {"fourier": [24.824425509281017, 26.448532030535734, 27.861883275398945, 30.79802329365313, 199.8708624690771]}, "3": {"fourier": [22.024082354832903, 22.08759611914412, 23.927593715679834, 26.10711154765386, 182.53670325875282]}, "4": {"fourier": [23.130907953173345, 23.652175224123106, 25.53959232344629, 26.442347044696536, 72.65165090560913]}, "5": {"fourier": [21.777379629754996, 21.9580968729024, 22.248773141486957, 22.355137683169268, 73.58280262351036]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [26.17609907577064, 27.027196728464435, 27.195363569542618, 28.151756628446847, 61.70417011156678]}, "1": {"fourier": [16.09678264482579, 17.359014127746192, 20.981867374112607, 21.580637215583753, 162.52604937553406]}, "2": {"fourier": [17.919285833419824, 18.533109309841752, 18.81687901039106, 23.820086224095927, 138.0580586604774]}, "3": {"fourier": [4.356017940705587, 4.600461601350563, 5.590773925169037, 6.209704528901165, 91.15882003307343]}, "4": {"fourier": [27.020511083432453, 27.051035015088075, 29.016387065888782, 31.929961657087585, 33.1595188267529]}, "5": {"fourier": [18.803186156874915, 18.952224716838675, 21.10318730653175, 22.963831674778838, 195.67604261636734]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [19.056094875002568, 20.252503509198714, 23.35023384638414, 24.040734663478013, 69.91495934128761]}, "1": {"fourier": [22.01772678886446, 25.743301381281672, 27.944012745017748, 29.354316237320987, 101.09511068463326]}, "2": {"fourier": [2.3502648192842943, 2.691236822548935, 3.0168197657067126, 3.828426849924719, 65.60715445876122]}, "3": {"fourier": [15.78077990330648, 16.363208249091187, 18.057298977783752, 19.252809645395736, 48.26798701286316]}, "4": {"fourier": [8.141271568237395, 8.403279491879571, 9.04840277428212, 9.85851464324931, 118.51463663578033]}, "5": {"fourier": [14.68929558091534, 16.7481095732108, 19.089212465676745, 19.274830716959265, 62.99839115142822]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [12.393380909550242, 12.761861234309677, 12.92153163069119, 14.432859993029455, 44.03984722495079]}, "1": {"fourier": [1.257312328890357, 1.3052922773118232, 1.313063752909048, 1.4405382685004922, 36.68337985873222]}, "2": {"fourier": [7.390843099656482, 7.6044933713674965, 7.67623093037666, 8.713550823293467, 61.54934220016003]}, "3": {"fourier": [26.922409398909032, 27.2082597882404, 27.558451658485815, 31.035888986088466, 213.98390251398087]}, "4": {"fourier": [8.435851767449547, 9.009803936662827, 9.049568632437989, 9.99310008065072, 26.92973443865776]}, "5": {"fourier": [0.45799838916124463, 0.462824259241837, 0.4638992804939646, 0.4832787160922598, 20.726648434996605]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [17.23265531263637, 18.28426055277348, 18.71450367204808, 20.924805830110802, 137.46893829107285]}, "1": {"fourier": [24.174829376621826, 25.6967719111739, 26.363735112016787, 29.44029421339372, 182.5718118995428]}, "2": {"fourier": [9.794594392408555, 9.99310715288434, 10.080295386045906, 11.37358495063765, 90.28882589936256]}, "3": {"fourier": [5.040718133112473, 5.341229758847374, 5.869150863745374, 6.582094423229798, 111.8961181640625]}, "4": {"fourier": [2.728823431712727, 2.8940701294287843, 2.9832870106182083, 3.321354782420386, 9.763872817158699]}, "5": {"fourier": [3.7469651681153207, 3.9540667586441494, 4.004441002694203, 4.505088145751175, 25.486592084169388]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [1.8784548225365512, 2.1015289217482227, 2.2523440486254196, 2.4545209664335594, 37.511475414037704]}, "1": {"fourier": [8.53666209310494, 9.017840525547408, 10.049386549426675, 10.953386207846986, 11.95219813537888]}, "2": {"fourier": [15.866184737746181, 16.823521969526425, 17.509872830577848, 19.363106868864715, 131.39984038472176]}, "3": {"fourier": [25.20936313178544, 25.61435504434344, 25.764943503235283, 29.10989940206687, 210.5606854557991]}, "4": {"fourier": [14.572509895864604, 14.96309285338511, 14.991789552417275, 16.991888371496376, 111.76687529683113]}, "5": {"fourier": [16.33817205699412, 17.944811543605798, 19.21986836491246, 21.119192788294075, 28.520294845104218]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [34.19154074416962, 37.15712929694462, 39.64444876804356, 43.54520111349904, 212.2964344881475]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.430198, 0.132242, 0.107261, 0.211947, 0.484838], [-0.410732, -0.4883, -0.240719, -0.609505, 0.072001], [-0.258155, 0.548092, 0.16591, 0.498078, -0.182615], [-0.016002, -0.263696, -0.365222, -0.200884, -0.332687], [0.606498, 0.185541, -0.018117, -0.14641, -0.035865], [0.577892, 0.284383, -0.176566, -0.024207, 0.031879]], "network.0.bias": [0.392862, 0.016988, 0.353857, 0.076249, 0.110437, -0.038358], "network.2.weight": [[-0.173108, -0.407855, -0.036305, 0.108719, 0.679573, 0.409812], [-0.09128, -0.06912, -0.288579, -0.38791, -0.358062, -0.393114], [0.503887, 0.114761, 0.447513, -0.035012, 0.005736, -0.298901], [-0.128927, 0.255696, -0.072128, 0.172448, 0.101883, -0.240824], [-0.535162, 0.176713, 0.080514, -0.366835, 0.426098, 0.58716], [-0.404865, -0.313417, -0.545091, -0.145203, -0.126309, -0.127586]], "network.2.bias": [0.0447, -0.344191, 0.057157, -0.536973, 0.055457, -0.125254], "network.4.weight": [[-0.134959, -0.386165, 0.489665, 0.01073, -0.458589, -0.030556], [-0.575409, 0.032901, 0.777366, 0.004799, 0.023069, 0.49891], [0.118825, 0.205544, -0.156658, -0.083753, -0.228705, -0.044663], [-0.070495, 0.266603, 0.276307, 0.067679, -0.483753, -0.124814], [-0.199461, 0.094723, -0.534368, -0.282059, 0.085704, 0.300893], [-0.223272, -0.169342, 0.469337, -0.355588, -0.194266, -0.011465]], "network.4.bias": [0.46546, 0.365331, -0.410406, 0.524799, -0.377439, 0.295471], "network.6.weight": [[-0.305107, -0.295602, -0.329746, -0.512746, 0.212769, 0.075539], [-0.274638, -0.04348, -0.015626, 0.057444, -0.260452, 0.219402], [-0.069928, -0.493751, -0.320686, -0.07196, 0.108282, 0.235793], [0.63623, 0.555528, -0.191214, 0.591323, -0.447151, 0.386936], [-0.263579, -0.028133, 0.017893, -0.527308, 0.064477, -0.034642], [0.054272, 0.058837, 0.0093, 0.178585, 0.380603, -0.321056]], "network.6.bias": [0.556751, -0.30264, -0.085727, 0.163798, 0.444469, -0.219803], "network.8.weight": [[-0.425108, -0.332732, -0.098794, 0.590591, -0.201541, 0.130836], [-0.46322, 0.141601, 0.105031, 0.823421, -0.515814, 0.353682], [0.178557, 0.105333, 0.120762, -0.361037, -0.174159, 0.043269], [0.702434, -0.017092, 0.145748, 0.345514, 0.645898, 0.076127], [-0.163467, 0.010652, 0.170019, -0.09152, 0.337826, 0.050083], [-0.303329, -0.480368, 0.269038, 0.132069, 0.262305, 0.031419]], "network.8.bias": [0.198948, 0.184771, -0.149107, 0.263465, 0.311068, -0.586322], "network.10.weight": [[-0.232539, 0.063172, -0.338165, 0.069727, -0.075847, -0.013182], [-0.15719, -0.339302, 0.037355, 0.421527, 0.433802, -0.128378], [0.098273, 0.667149, -0.045942, -0.243861, 0.098822, 0.212742], [0.640829, 0.467166, -0.09288, 0.437442, -0.116684, -0.075687], [0.54798, 0.129448, -0.232433, 0.237936, -0.253169, -0.013677], [-0.389313, -0.521949, 0.14967, 0.563907, 0.446964, 0.253636]], "network.10.bias": [-0.26701, 0.432011, 0.224376, -0.132216, -0.127126, 0.592224], "network.12.weight": [[0.259692, 0.251995, -0.543341, -0.634534, -0.2965, 0.68487]], "network.12.bias": [0.006212]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924565136432648, "train_acc": 0.575, "val_loss": 0.7096797227859497, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809845566749573, "train_acc": 0.575, "val_loss": 0.701181173324585, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6688903570175171, "train_acc": 0.575, "val_loss": 0.6800172328948975, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6425857841968536, "train_acc": 0.575, "val_loss": 0.6443272233009338, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6079856157302856, "train_acc": 0.69, "val_loss": 0.533217191696167, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4557114243507385, "train_acc": 0.92, "val_loss": 0.3675915598869324, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3353253901004791, "train_acc": 0.91, "val_loss": 0.24322198331356049, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.24462539702653885, "train_acc": 0.92, "val_loss": 0.22363746166229248, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.20913759618997574, "train_acc": 0.925, "val_loss": 0.24249446392059326, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.22870023548603058, "train_acc": 0.925, "val_loss": 0.2302992194890976, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.25452423840761185, "train_acc": 0.925, "val_loss": 0.23238283395767212, "val_acc": 0.92}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7096797227859497, "final_val_loss": 0.6443272233009338, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.533217191696167, "final_val_loss": 0.23238283395767212, "initial_val_acc": 0.94, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.48, "first_improvement_epoch": 3}}
|
79
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8572, "learning_rate": 0.05637531695895258, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[30.555717, 32.173334, 33.320300, 39.113747, 41.334649], [32.386586, 37.553234, 39.375499, 47.869390, 210.534463], [25.362569, 26.524844, 29.458759, 32.201199, 42.583705], [17.027621, 17.313535, 20.366801, 28.352588, 36.184452], [30.679787, 30.801623, 32.319481, 40.964555, 55.964460], [17.841978, 18.243980, 23.303569, 24.373842, 129.883114], [30.252589, 32.333740, 33.203854, 34.534640, 212.698322], [16.451420, 17.528872, 19.336067, 23.003739, 106.706939]]
### 2
fourier: [[31.419034, 31.480674, 35.054172, 45.037937, 253.488680], [34.318610, 35.157097, 35.788057, 37.961776, 245.289651], [40.356940, 41.925195, 42.940667, 45.809944, 58.028503], [29.358077, 30.924903, 32.215136, 41.701854, 67.697171], [37.535076, 39.540795, 39.707092, 51.590611, 145.191034], [17.117457, 19.217623, 19.860178, 33.953664, 96.827727], [26.040557, 26.261657, 27.629298, 29.307834, 34.403296], [31.311608, 32.138571, 32.281715, 41.606025, 71.170080]]
### 4
fourier: [[23.547864, 27.024130, 27.285776, 28.124093, 32.610393], [23.530592, 23.900539, 25.678981, 30.836854, 70.430079], [21.785009, 25.309307, 25.613073, 25.920110, 29.416679], [4.784768, 4.905664, 5.398595, 5.603773, 16.780333], [13.401111, 13.663718, 18.168545, 20.763658, 53.717900], [32.730663, 33.646272, 36.373432, 39.254643, 83.038161], [10.972163, 11.232869, 11.590950, 13.283235, 74.594128], [13.509281, 17.581924, 18.204937, 19.614962, 27.952239]]
### 6
fourier: [[29.169305, 29.679832, 31.249610, 37.874650, 52.145382], [12.136463, 13.205313, 14.410734, 15.935397, 66.743373], [24.727201, 29.491494, 29.665902, 33.996302, 44.179329], [42.699112, 43.522517, 44.564478, 46.156081, 86.254970], [51.778048, 53.415449, 55.520731, 57.327481, 115.781409], [41.766953, 49.700908, 49.918457, 61.756374, 123.346144], [28.173335, 31.555834, 31.715080, 31.825235, 34.554099], [29.469159, 33.164952, 35.907873, 41.951493, 146.323507]]
### 8
fourier: [[35.855172, 41.480788, 45.318810, 46.479845, 166.737700], [29.835053, 33.368876, 36.868020, 37.445916, 138.357983], [39.906024, 42.493086, 47.819712, 48.042067, 116.290567], [29.621406, 30.999301, 35.116367, 36.053936, 112.976331], [31.546842, 34.205690, 38.310017, 39.167726, 150.152512], [48.207228, 54.406385, 60.289518, 61.644799, 213.833503], [59.836570, 65.352409, 73.356414, 74.130516, 190.997397], [56.980135, 63.389588, 70.292111, 71.987127, 262.000311]]
### 10
fourier: [[119.381406, 131.913745, 147.277324, 149.170444, 542.130794]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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],
[
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],
[
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],
[
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## Activation Signature
### 0
fourier: [[30.555717, 32.173334, 33.320300, 39.113747, 41.334649], [32.386586, 37.553234, 39.375499, 47.869390, 210.534463], [25.362569, 26.524844, 29.458759, 32.201199, 42.583705], [17.027621, 17.313535, 20.366801, 28.352588, 36.184452], [30.679787, 30.801623, 32.319481, 40.964555, 55.964460], [17.841978, 18.243980, 23.303569, 24.373842, 129.883114], [30.252589, 32.333740, 33.203854, 34.534640, 212.698322], [16.451420, 17.528872, 19.336067, 23.003739, 106.706939]]
### 2
fourier: [[31.419034, 31.480674, 35.054172, 45.037937, 253.488680], [34.318610, 35.157097, 35.788057, 37.961776, 245.289651], [40.356940, 41.925195, 42.940667, 45.809944, 58.028503], [29.358077, 30.924903, 32.215136, 41.701854, 67.697171], [37.535076, 39.540795, 39.707092, 51.590611, 145.191034], [17.117457, 19.217623, 19.860178, 33.953664, 96.827727], [26.040557, 26.261657, 27.629298, 29.307834, 34.403296], [31.311608, 32.138571, 32.281715, 41.606025, 71.170080]]
### 4
fourier: [[23.547864, 27.024130, 27.285776, 28.124093, 32.610393], [23.530592, 23.900539, 25.678981, 30.836854, 70.430079], [21.785009, 25.309307, 25.613073, 25.920110, 29.416679], [4.784768, 4.905664, 5.398595, 5.603773, 16.780333], [13.401111, 13.663718, 18.168545, 20.763658, 53.717900], [32.730663, 33.646272, 36.373432, 39.254643, 83.038161], [10.972163, 11.232869, 11.590950, 13.283235, 74.594128], [13.509281, 17.581924, 18.204937, 19.614962, 27.952239]]
### 6
fourier: [[29.169305, 29.679832, 31.249610, 37.874650, 52.145382], [12.136463, 13.205313, 14.410734, 15.935397, 66.743373], [24.727201, 29.491494, 29.665902, 33.996302, 44.179329], [42.699112, 43.522517, 44.564478, 46.156081, 86.254970], [51.778048, 53.415449, 55.520731, 57.327481, 115.781409], [41.766953, 49.700908, 49.918457, 61.756374, 123.346144], [28.173335, 31.555834, 31.715080, 31.825235, 34.554099], [29.469159, 33.164952, 35.907873, 41.951493, 146.323507]]
### 8
fourier: [[35.855172, 41.480788, 45.318810, 46.479845, 166.737700], [29.835053, 33.368876, 36.868020, 37.445916, 138.357983], [39.906024, 42.493086, 47.819712, 48.042067, 116.290567], [29.621406, 30.999301, 35.116367, 36.053936, 112.976331], [31.546842, 34.205690, 38.310017, 39.167726, 150.152512], [48.207228, 54.406385, 60.289518, 61.644799, 213.833503], [59.836570, 65.352409, 73.356414, 74.130516, 190.997397], [56.980135, 63.389588, 70.292111, 71.987127, 262.000311]]
### 10
fourier: [[119.381406, 131.913745, 147.277324, 149.170444, 542.130794]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.868621, 0.220676, -0.179299, 0.17432, 0.695054], [-0.223146, 0.224224, 0.335714, 0.093183, 1.03406], [0.153452, 0.206443, 0.142583, 0.397979, -0.840298], [0.294989, 0.243084, -0.394804, 0.189851, -0.242053], [0.068136, 0.015096, 0.368875, 0.302849, -1.066097], [0.216552, 0.288665, 0.010177, 0.274845, -0.359137], [-0.228756, 0.398838, -0.272786, -0.576382, -0.558816], [-0.388941, 0.154626, 0.165044, 0.365949, -0.179243]], "network.0.bias": [0.02802, 0.031943, -0.208909, -0.495992, 0.404399, 0.479934, -0.310367, 0.479437], "network.2.weight": [[-0.175564, 0.040094, -0.653569, 0.033919, -0.789059, -0.53986, 0.418788, -0.021864], [0.239854, -0.047986, -0.507435, 0.11485, -0.887831, -0.402877, 0.594863, -0.309835], [-0.532102, -0.649363, 0.36347, -0.074175, 0.618403, 0.135471, 0.358818, 0.193264], [0.337753, 0.596434, -0.558875, 0.022715, -0.017289, 0.118865, -0.587035, -0.261507], [0.421384, 0.720137, -0.331121, -0.255103, -0.325449, -0.024318, -0.493862, 0.249532], [-0.114727, 0.317479, -0.364524, -0.262024, 0.18664, -0.537445, -0.332151, -0.302069], [-0.575612, -0.31057, 0.335236, -0.1566, 0.131268, 0.298785, -0.28488, 0.082118], [-0.355517, -0.557383, 0.285269, 0.138685, 0.135605, 0.39039, -0.366731, -0.222791]], "network.2.bias": [-0.552684, -0.456302, 0.276569, -0.246407, 0.039559, -0.460481, 0.041817, 0.050277], "network.4.weight": [[0.217551, 0.497628, 0.600473, -0.141218, -0.277857, -0.389116, 0.31052, 0.156948], [-0.492308, -0.473051, -0.257913, 0.346824, 0.255881, -0.125634, -0.205657, -0.073589], [0.115164, 0.349564, 0.622097, -0.137636, -0.258073, -0.15197, 0.271756, 0.095163], [0.05482, 0.30865, -0.087944, 0.262737, -0.335546, 0.035964, -0.01443, -0.006089], [-0.386092, -0.366763, -0.216477, 0.414891, 0.053115, 0.290069, 0.309727, 0.450581], [-0.301032, -0.682575, -0.694827, 0.222512, 0.448694, -0.463855, -0.216754, -0.172937], [-0.432855, 0.075339, 0.148276, -0.157111, 0.406108, -0.19304, -0.051015, -0.357475], [-0.264033, 0.259194, 0.304187, 0.256733, -0.536246, 0.033839, 0.061794, -0.367494]], "network.4.bias": [-0.092326, 0.296388, -0.147288, 0.214851, -0.011467, 0.646072, 0.280566, 0.134826], "network.6.weight": [[0.451175, -0.5328, 0.292497, 0.20196, -0.593334, -0.236219, 0.308446, 0.143214], [-0.190094, 0.321711, 0.080956, 0.068408, 0.279524, -0.775987, -0.320308, -0.051728], [0.355837, 0.069379, 0.010004, 0.378763, -0.597494, -0.809817, 0.601451, 0.583323], [-0.609781, 0.143547, -0.954888, 0.053601, 0.135779, 0.641637, 0.255726, -0.519863], [-0.771256, 0.463357, -0.943278, -0.13611, -0.121761, 0.73564, 0.442731, -0.457791], [0.39887, -0.468536, 0.130983, -0.232853, -1.072159, -0.584562, -0.175745, 0.169017], [-0.661349, 0.355155, -0.500969, 0.303428, 0.281286, 0.248117, -0.039466, -0.577816], [-0.422792, 0.126438, 0.231576, -0.300993, -0.897699, -0.884998, -0.010801, -0.078159]], "network.6.bias": [-0.095596, 0.05142, 0.09838, 0.604842, 0.615712, 0.16647, 0.132529, -0.067157], "network.8.weight": [[0.178026, -0.461556, -0.58278, 0.168852, 0.497957, -0.07708, 0.701639, -0.704355], [-0.15395, -0.110354, -0.438777, 0.168862, 0.380067, -0.016325, 0.494574, -0.437036], [0.555419, -0.368371, 0.288769, -0.551706, -0.283843, 0.319646, -0.409154, 0.01517], [-0.318171, -0.295401, -0.139581, 0.76924, 0.160486, -0.090546, -0.064258, -0.266125], [-0.022376, -0.358651, -0.395258, 0.587145, 0.223622, -0.377422, 0.196753, -0.548971], [0.079941, -0.106375, -0.190496, -0.736948, -0.760165, 0.069378, -0.056166, -0.131033], [0.407053, -0.477144, -0.024798, -0.911518, -0.672537, 0.569235, -0.285745, 0.006044], [-0.078694, -0.352988, -0.080296, 0.547294, 0.840386, -0.405089, 0.508005, 0.059928]], "network.8.bias": [0.158038, 0.321431, 0.014074, -0.023588, 0.366518, 0.196039, 0.425272, 0.240279], "network.10.weight": [[-0.523547, -0.673596, 0.260757, -0.631938, -0.698833, 0.045368, 0.210994, -0.706007]], "network.10.bias": [-0.037243]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828575730323792, "train_acc": 0.59, "val_loss": 0.7136337161064148, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6633885204792023, "train_acc": 0.59, "val_loss": 0.6344306468963623, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6606322526931763, "train_acc": 0.655, "val_loss": 0.5194389820098877, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5279107987880707, "train_acc": 0.745, "val_loss": 0.5320116281509399, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.48280981183052063, "train_acc": 0.725, "val_loss": 0.5241280198097229, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.45458412170410156, "train_acc": 0.78, "val_loss": 0.5094252228736877, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.43010805547237396, "train_acc": 0.81, "val_loss": 0.4684048593044281, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4056004136800766, "train_acc": 0.83, "val_loss": 0.4206678867340088, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.34077706933021545, "train_acc": 0.835, "val_loss": 0.3453686237335205, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.29874923825263977, "train_acc": 0.89, "val_loss": 1.4429415464401245, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.68508430570364, "train_acc": 0.815, "val_loss": 0.6224280595779419, "val_acc": 0.78}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4101964980363846, "train_acc": 0.84, "val_loss": 0.6231052279472351, "val_acc": 0.78}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7136337161064148, "final_val_loss": 0.6344306468963623, "initial_val_acc": 0.48, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.5194389820098877, "final_val_loss": 0.6231052279472351, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.21999999999999997, "first_improvement_epoch": 1}}
|
80
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4634, "learning_rate": 0.06763343703882889, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "decreasing_pairs", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["decreasing_pairs"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.922446, 27.773791, 29.567264, 33.703882, 225.795986], [17.768525, 20.073105, 20.342694, 20.816717, 40.062783], [19.521085, 19.796983, 21.335548, 21.819048, 52.811654], [25.818938, 27.448072, 28.925970, 34.876433, 129.800634], [19.595414, 20.362251, 23.453379, 27.243021, 188.579480], [30.625042, 31.405067, 36.560024, 37.343803, 88.109637], [21.622571, 26.382689, 26.861974, 28.304522, 112.688380]]
### 2
fourier: [[24.063493, 26.023441, 31.251692, 32.139576, 67.062053], [25.099246, 28.117236, 28.857552, 31.759415, 35.268283], [16.171305, 16.328140, 20.617507, 21.627801, 22.483949], [5.660254, 5.685966, 5.920375, 6.613055, 60.461388], [15.118555, 15.526689, 15.951321, 19.332758, 38.129419], [22.671848, 22.837096, 23.289557, 26.280859, 68.447450], [7.565643, 7.573125, 8.213084, 8.324398, 117.352934]]
### 4
fourier: [[1.230048, 1.381831, 1.525254, 1.657479, 18.452663], [12.377661, 12.490583, 12.737515, 14.176557, 70.015028], [6.549758, 6.810540, 7.003580, 7.401033, 44.232564], [25.944915, 26.806559, 28.072418, 30.628079, 50.524858], [6.578934, 7.131431, 7.393610, 7.673563, 48.994833], [24.377183, 26.971067, 27.183230, 27.842136, 30.227363], [2.814913, 2.842561, 2.937870, 3.101701, 45.586695]]
### 6
fourier: [[15.556133, 16.369942, 16.880958, 18.394297, 56.751375], [1.716542, 1.890431, 1.941964, 2.020984, 10.553813], [4.571416, 4.758178, 4.818986, 5.275815, 18.417790], [20.352328, 21.611101, 21.840614, 22.362246, 24.354438], [1.096377, 1.179225, 1.199456, 1.280020, 30.584224], [16.561659, 17.095347, 17.795244, 19.303454, 36.325023], [13.069710, 13.280286, 14.133481, 14.561006, 15.861563]]
### 8
fourier: [[4.580907, 4.968681, 5.040246, 5.559624, 20.988037], [3.035595, 3.174548, 3.221348, 3.357236, 38.441700], [19.805901, 21.720916, 21.848528, 23.988559, 53.517352], [17.554012, 19.113141, 19.338496, 21.234619, 42.125322], [4.482749, 4.822875, 4.865705, 5.411619, 44.389221], [14.084375, 15.429431, 15.459036, 16.960666, 41.687814], [4.221764, 4.489399, 4.503471, 4.986828, 45.381940]]
### 10
fourier: [[9.759033, 9.941381, 10.794650, 10.795293, 11.785428], [22.745324, 24.962831, 25.087065, 27.527439, 36.440372], [1.379815, 1.452954, 1.470327, 1.491992, 59.749460], [3.141463, 3.143382, 3.195407, 3.395627, 35.322583], [5.746993, 6.086020, 6.131349, 6.588766, 73.794131], [0.584368, 0.599487, 0.624031, 0.718195, 43.867072], [1.575771, 1.584706, 1.631065, 1.634527, 45.693933]]
### 12
fourier: [[18.328441, 19.612809, 19.834779, 21.408141, 23.904647]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
decreasing_pairs
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[26.922446, 27.773791, 29.567264, 33.703882, 225.795986], [17.768525, 20.073105, 20.342694, 20.816717, 40.062783], [19.521085, 19.796983, 21.335548, 21.819048, 52.811654], [25.818938, 27.448072, 28.925970, 34.876433, 129.800634], [19.595414, 20.362251, 23.453379, 27.243021, 188.579480], [30.625042, 31.405067, 36.560024, 37.343803, 88.109637], [21.622571, 26.382689, 26.861974, 28.304522, 112.688380]]
### 2
fourier: [[24.063493, 26.023441, 31.251692, 32.139576, 67.062053], [25.099246, 28.117236, 28.857552, 31.759415, 35.268283], [16.171305, 16.328140, 20.617507, 21.627801, 22.483949], [5.660254, 5.685966, 5.920375, 6.613055, 60.461388], [15.118555, 15.526689, 15.951321, 19.332758, 38.129419], [22.671848, 22.837096, 23.289557, 26.280859, 68.447450], [7.565643, 7.573125, 8.213084, 8.324398, 117.352934]]
### 4
fourier: [[1.230048, 1.381831, 1.525254, 1.657479, 18.452663], [12.377661, 12.490583, 12.737515, 14.176557, 70.015028], [6.549758, 6.810540, 7.003580, 7.401033, 44.232564], [25.944915, 26.806559, 28.072418, 30.628079, 50.524858], [6.578934, 7.131431, 7.393610, 7.673563, 48.994833], [24.377183, 26.971067, 27.183230, 27.842136, 30.227363], [2.814913, 2.842561, 2.937870, 3.101701, 45.586695]]
### 6
fourier: [[15.556133, 16.369942, 16.880958, 18.394297, 56.751375], [1.716542, 1.890431, 1.941964, 2.020984, 10.553813], [4.571416, 4.758178, 4.818986, 5.275815, 18.417790], [20.352328, 21.611101, 21.840614, 22.362246, 24.354438], [1.096377, 1.179225, 1.199456, 1.280020, 30.584224], [16.561659, 17.095347, 17.795244, 19.303454, 36.325023], [13.069710, 13.280286, 14.133481, 14.561006, 15.861563]]
### 8
fourier: [[4.580907, 4.968681, 5.040246, 5.559624, 20.988037], [3.035595, 3.174548, 3.221348, 3.357236, 38.441700], [19.805901, 21.720916, 21.848528, 23.988559, 53.517352], [17.554012, 19.113141, 19.338496, 21.234619, 42.125322], [4.482749, 4.822875, 4.865705, 5.411619, 44.389221], [14.084375, 15.429431, 15.459036, 16.960666, 41.687814], [4.221764, 4.489399, 4.503471, 4.986828, 45.381940]]
### 10
fourier: [[9.759033, 9.941381, 10.794650, 10.795293, 11.785428], [22.745324, 24.962831, 25.087065, 27.527439, 36.440372], [1.379815, 1.452954, 1.470327, 1.491992, 59.749460], [3.141463, 3.143382, 3.195407, 3.395627, 35.322583], [5.746993, 6.086020, 6.131349, 6.588766, 73.794131], [0.584368, 0.599487, 0.624031, 0.718195, 43.867072], [1.575771, 1.584706, 1.631065, 1.634527, 45.693933]]
### 12
fourier: [[18.328441, 19.612809, 19.834779, 21.408141, 23.904647]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
decreasing_pairs
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.92244602239854, 27.773791019696276, 29.56726360464441, 33.70388192870951, 225.79598581790924]}, "1": {"fourier": [17.768524948216367, 20.0731047241413, 20.342694340239646, 20.816716514771873, 40.062782764434814]}, "2": {"fourier": [19.521084861003366, 19.79698276578393, 21.335547693365065, 21.819047921824673, 52.81165385246277]}, "3": {"fourier": [25.818937638016354, 27.448072245158755, 28.92596983891839, 34.87643330602999, 129.80063432455063]}, "4": {"fourier": [19.595414265431824, 20.362251485166592, 23.45337945391126, 27.24302050517071, 188.5794797539711]}, "5": {"fourier": [30.625041868779913, 31.405066896492997, 36.56002447555689, 37.34380349507452, 88.10963705182076]}, "6": {"fourier": [21.622570861965823, 26.382689249539116, 26.86197398608248, 28.304521985124886, 112.68838003277779]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": 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1.5252542741419528, 1.6574791760079373, 18.452663242816925]}, "1": {"fourier": [12.377660821710105, 12.49058304089062, 12.737514741709147, 14.176557447220679, 70.01502761244774]}, "2": {"fourier": [6.549757999242833, 6.810539851890638, 7.0035802012102915, 7.401033043048328, 44.23256441950798]}, "3": {"fourier": [25.94491541813537, 26.806559070959345, 28.072417857802517, 30.628079298009965, 50.524857878685]}, "4": {"fourier": [6.57893404546163, 7.13143110497491, 7.3936096241329325, 7.6735626091382825, 48.994833409786224]}, "5": {"fourier": [24.377183466578877, 26.971066913737168, 27.18323046662256, 27.84213579354863, 30.227362847577464]}, "6": {"fourier": [2.8149132119879465, 2.8425606252565254, 2.9378695838389812, 3.101700703518766, 45.58669525384903]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [15.556132562126006, 16.369941970652242, 16.880958029853588, 18.394296979698172, 56.75137548148632]}, "1": {"fourier": [1.7165424101583582, 1.8904314053955589, 1.9419638906562595, 2.020984146609088, 10.553812645375729]}, "2": {"fourier": [4.571415749701814, 4.75817826272176, 4.818985966879641, 5.275814751726487, 18.417789608240128]}, "3": {"fourier": [20.352327704645248, 21.611100615471642, 21.840614415705204, 22.36224585908538, 24.354438499159354]}, "4": {"fourier": [1.0963767414211572, 1.1792247874932804, 1.1994563211945444, 1.280019966379491, 30.58422400057316]}, "5": {"fourier": [16.561659038167665, 17.095346901983266, 17.795243783144166, 19.303453974496716, 36.32502308860421]}, "6": {"fourier": [13.069710080231388, 13.28028569249843, 14.133481224265566, 14.561005703848188, 15.861562784506273]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [4.580907094099571, 4.968681322858673, 5.040245547074589, 5.559624200153644, 20.988036893308163]}, "1": {"fourier": [3.035594990843148, 3.1745478532519336, 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"2": {"fourier": [1.3798154624108336, 1.4529538292915698, 1.4703266636503354, 1.4919923949651803, 59.749460101127625]}, "3": {"fourier": [3.1414628806720146, 3.143381610833399, 3.195406516585102, 3.3956273833630934, 35.32258319854736]}, "4": {"fourier": [5.746992762265318, 6.086020487915216, 6.131349051461625, 6.588766266649283, 73.7941306233406]}, "5": {"fourier": [0.5843683730628764, 0.5994873350346989, 0.6240314254614927, 0.7181948690539898, 43.867071598768234]}, "6": {"fourier": [1.5757711488254642, 1.5847056396719168, 1.6310648147923439, 1.6345274724454413, 45.69393336772919]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [18.328440519387573, 19.612809149325606, 19.834778982202558, 21.408141231299346, 23.90464735031128]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.400849, -0.516844, -0.210171, 0.001701, -0.223683], [-0.540404, 0.400419, 0.158387, -0.237577, 0.22389], [-0.399104, -0.101179, 0.042167, 0.063179, 0.587989], [-0.627756, 0.242866, 0.307022, 0.502663, -0.225619], [-0.353418, -0.027112, -0.233794, -0.291467, -0.180053], [0.722828, 0.119648, 0.314546, 0.158221, -0.584827], [0.462352, 0.458059, -0.188139, 0.165067, -0.008586]], "network.0.bias": [-0.356951, 0.290481, 0.319076, 0.339876, -0.270644, -0.413609, -0.108349], "network.2.weight": [[-0.478681, -0.640934, -0.003657, -0.518318, 0.152444, 0.406794, 0.266384], [0.029061, -0.309755, -0.633617, -0.427541, -0.042592, 0.467369, 0.132274], [-0.434368, -0.432223, 0.020151, -0.431095, -0.38645, 0.148516, 0.230748], [0.182936, -0.063694, -0.040618, -0.247841, -0.201593, -0.085681, 0.012059], [-0.365409, 0.155331, 0.466937, 0.198241, 0.097086, -0.26004, -0.094021], [-0.050706, -0.241042, -0.458031, -0.275666, -0.005875, 0.432153, 0.17827], [-0.035228, -0.184309, -0.08986, -0.263527, 0.279966, -0.350554, 0.110328]], "network.2.bias": [-0.331228, 0.264555, 0.240776, -0.092071, 0.067609, -0.560401, -0.360695], "network.4.weight": [[-0.006035, -0.11012, 0.068993, -0.034154, 0.038507, -0.002309, -0.341693], [-0.277894, -0.529823, -0.087682, 0.141242, 0.096899, 0.136814, -0.305334], [-0.129328, -0.11113, -0.249272, 0.067951, 0.194076, 0.081221, 0.190841], [0.647434, 0.436715, 0.269855, 0.185427, -0.566466, 0.437976, 0.267811], [-0.202093, -0.119973, -0.096611, 0.314344, -0.139564, -0.121473, -0.356882], [0.633031, 0.4923, 0.28626, -0.196171, -0.68318, 0.27822, -0.352731], [-0.152703, 0.196901, 0.177734, 0.359352, -0.008178, -0.009887, 0.257557]], "network.4.bias": [-0.199872, -0.512177, -0.460526, 0.264046, -0.26, -0.188022, 0.432859], "network.6.weight": [[-0.185064, 0.181603, -0.071675, -0.288766, 0.362953, -0.379348, -0.139216], [0.039737, 0.20021, -0.052626, -0.265878, 0.031582, 0.199005, 0.257286], [-0.161705, 0.331697, 0.050438, -0.176687, -0.130863, 0.426054, -0.065167], [-0.167376, -0.35633, 0.091586, 0.409952, 0.102694, 0.559603, -0.542456], [-0.03567, -0.275558, 0.183294, -0.064354, -0.069497, 0.100431, 0.219185], [-0.189822, -0.193085, 0.142096, 0.504946, 0.343384, 0.166549, 0.106841], [0.222954, 0.045956, 0.199754, 0.181934, -0.07588, 0.432762, -0.093085]], "network.6.bias": [-0.127392, -0.167363, -0.288932, -0.109001, -0.462066, -0.118852, -0.438632], "network.8.weight": [[-0.187786, -0.220236, -0.303402, -0.070412, -0.092555, -0.178357, 0.02238], [-0.332127, -0.213496, -0.213042, -0.131839, -0.1428, 0.386966, -0.030189], [-0.099198, -0.077816, 0.318601, 0.586042, 0.126797, 0.287151, 0.392507], [-0.151996, 0.351384, 0.45693, 0.410832, 0.173578, 0.499251, 0.119528], [-0.074083, -0.17643, 0.029095, -0.398478, 0.292032, 0.093716, 0.117578], [-0.305265, 0.214347, -0.287353, -0.447394, 0.130692, -0.009837, -0.49906], [-0.01529, -0.099092, 0.216911, -0.421221, -0.039291, 0.167246, 0.032367]], "network.8.bias": [-0.105464, 0.340635, 0.049132, -0.020323, -0.371153, -0.083841, 0.615971], "network.10.weight": [[-0.121274, -0.151238, 0.220575, 0.2302, -0.271113, -0.073733, -0.573482], [-0.315883, -0.19498, 0.589574, 0.600306, -0.032107, -0.237907, -0.368318], [0.361686, 0.411586, 0.059037, -0.129504, -0.15425, 0.564406, 0.415667], [0.370908, -0.374511, 0.190932, -0.25309, 0.084245, -0.158022, 0.368326], [0.359993, 0.174702, -0.103844, -0.099307, -0.200249, -0.130167, 0.691092], [0.21036, 0.127525, -0.139855, 0.114142, 0.079482, -0.166029, -0.291887], [-0.236992, 0.013783, -0.292477, 0.31998, -0.027619, -0.507823, -0.493211]], "network.10.bias": [0.186492, 0.041311, 0.297291, -0.417265, 0.492256, -0.360587, -0.235181], "network.12.weight": [[0.360717, 0.561932, -0.102568, -0.048274, -0.531286, 0.104585, 0.131103]], "network.12.bias": [-0.162236]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.704754501581192, "train_acc": 0.43, "val_loss": 0.6847345232963562, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6748220920562744, "train_acc": 0.57, "val_loss": 0.6491595506668091, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.611973226070404, "train_acc": 0.59, "val_loss": 0.33819907903671265, "val_acc": 0.98}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4326268136501312, "train_acc": 0.875, "val_loss": 0.2315363883972168, "val_acc": 1.0}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3612041622400284, "train_acc": 0.905, "val_loss": 0.1452820897102356, "val_acc": 1.0}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2671593278646469, "train_acc": 0.92, "val_loss": 0.12895016372203827, "val_acc": 1.0}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.20991941541433334, "train_acc": 0.935, "val_loss": 0.04863054305315018, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.14741644635796547, "train_acc": 0.94, "val_loss": 0.024389274418354034, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.15165665745735168, "train_acc": 0.945, "val_loss": 0.012667741626501083, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.14030953496694565, "train_acc": 0.95, "val_loss": 0.008486747741699219, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.18355628103017807, "train_acc": 0.96, "val_loss": 0.015641629695892334, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2060522809624672, "train_acc": 0.945, "val_loss": 0.004107339773327112, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6847345232963562, "final_val_loss": 0.6491595506668091, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.33819907903671265, "final_val_loss": 0.004107339773327112, "initial_val_acc": 0.98, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 3}, "improvement": 0.48, "first_improvement_epoch": 1}}
|
81
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3720, "learning_rate": 0.08108720880513055, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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}
## Activation Signature
### 0
fourier: [[28.314847, 29.117179, 31.144672, 31.361786, 123.137964], [29.389330, 29.476302, 29.509886, 31.965226, 208.437446], [13.061754, 13.118713, 14.150739, 15.747415, 52.912746], [60.023943, 61.296989, 63.013650, 69.842303, 235.062026], [30.287402, 30.307352, 33.214111, 41.136576, 124.290132], [20.760695, 22.247654, 22.551545, 37.250763, 86.158221]]
### 2
fourier: [[7.930121, 9.127044, 10.768194, 11.877911, 105.829056], [14.112908, 15.361791, 15.368503, 16.162542, 22.136191], [14.964500, 15.566863, 19.463982, 19.807910, 146.583011], [47.933370, 47.940129, 50.027198, 51.259246, 273.590734], [17.488849, 17.681269, 18.268309, 18.593728, 27.749956], [44.230892, 44.909339, 46.647016, 46.803435, 52.059417]]
### 4
fourier: [[5.990685, 6.226247, 6.382739, 6.876938, 26.484774], [12.727584, 13.144892, 13.802742, 15.412000, 119.280209], [18.713886, 19.099344, 19.600270, 20.295514, 98.123721], [63.536534, 63.580538, 64.556955, 67.751296, 320.700040], [28.851040, 29.136589, 30.046961, 30.256259, 200.975415], [22.887760, 25.213686, 25.620577, 28.327262, 123.214201]]
### 6
fourier: [[49.400352, 50.984120, 51.303538, 56.941320, 253.896460], [10.028554, 10.127210, 10.585862, 11.097439, 12.513618], [25.791454, 26.401239, 27.414046, 28.872609, 170.957283], [39.476304, 40.244425, 41.298999, 46.004380, 208.417761], [4.608474, 4.761538, 5.104255, 5.158962, 58.302294], [44.107198, 45.633736, 46.009416, 50.132653, 231.388990]]
### 8
fourier: [[58.236219, 59.996410, 61.323364, 67.310351, 298.008056], [26.361006, 27.304918, 27.458436, 30.710968, 147.828329], [4.814280, 4.964468, 5.174856, 5.339489, 71.220420], [42.507507, 43.773850, 44.925249, 49.248644, 180.936891], [43.176367, 44.576592, 45.259103, 50.421434, 160.469627], [18.426603, 19.088547, 19.163251, 21.459562, 105.370991]]
### 10
fourier: [[11.014142, 11.608349, 11.707289, 12.984344, 39.910051], [2.928440, 3.085111, 3.245466, 3.555642, 30.208515], [5.987857, 6.157160, 6.339833, 6.971309, 53.894712], [44.219677, 45.123552, 46.788008, 51.430600, 208.070059], [30.634216, 31.174901, 32.289320, 35.665068, 65.410888], [18.554271, 18.767101, 19.407971, 21.171077, 130.070779]]
### 12
fourier: [[20.504631, 21.587411, 23.058584, 24.605272, 73.844193]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[28.314847, 29.117179, 31.144672, 31.361786, 123.137964], [29.389330, 29.476302, 29.509886, 31.965226, 208.437446], [13.061754, 13.118713, 14.150739, 15.747415, 52.912746], [60.023943, 61.296989, 63.013650, 69.842303, 235.062026], [30.287402, 30.307352, 33.214111, 41.136576, 124.290132], [20.760695, 22.247654, 22.551545, 37.250763, 86.158221]]
### 2
fourier: [[7.930121, 9.127044, 10.768194, 11.877911, 105.829056], [14.112908, 15.361791, 15.368503, 16.162542, 22.136191], [14.964500, 15.566863, 19.463982, 19.807910, 146.583011], [47.933370, 47.940129, 50.027198, 51.259246, 273.590734], [17.488849, 17.681269, 18.268309, 18.593728, 27.749956], [44.230892, 44.909339, 46.647016, 46.803435, 52.059417]]
### 4
fourier: [[5.990685, 6.226247, 6.382739, 6.876938, 26.484774], [12.727584, 13.144892, 13.802742, 15.412000, 119.280209], [18.713886, 19.099344, 19.600270, 20.295514, 98.123721], [63.536534, 63.580538, 64.556955, 67.751296, 320.700040], [28.851040, 29.136589, 30.046961, 30.256259, 200.975415], [22.887760, 25.213686, 25.620577, 28.327262, 123.214201]]
### 6
fourier: [[49.400352, 50.984120, 51.303538, 56.941320, 253.896460], [10.028554, 10.127210, 10.585862, 11.097439, 12.513618], [25.791454, 26.401239, 27.414046, 28.872609, 170.957283], [39.476304, 40.244425, 41.298999, 46.004380, 208.417761], [4.608474, 4.761538, 5.104255, 5.158962, 58.302294], [44.107198, 45.633736, 46.009416, 50.132653, 231.388990]]
### 8
fourier: [[58.236219, 59.996410, 61.323364, 67.310351, 298.008056], [26.361006, 27.304918, 27.458436, 30.710968, 147.828329], [4.814280, 4.964468, 5.174856, 5.339489, 71.220420], [42.507507, 43.773850, 44.925249, 49.248644, 180.936891], [43.176367, 44.576592, 45.259103, 50.421434, 160.469627], [18.426603, 19.088547, 19.163251, 21.459562, 105.370991]]
### 10
fourier: [[11.014142, 11.608349, 11.707289, 12.984344, 39.910051], [2.928440, 3.085111, 3.245466, 3.555642, 30.208515], [5.987857, 6.157160, 6.339833, 6.971309, 53.894712], [44.219677, 45.123552, 46.788008, 51.430600, 208.070059], [30.634216, 31.174901, 32.289320, 35.665068, 65.410888], [18.554271, 18.767101, 19.407971, 21.171077, 130.070779]]
### 12
fourier: [[20.504631, 21.587411, 23.058584, 24.605272, 73.844193]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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21.587410758371696, 23.058584081996862, 24.605272273961713, 73.84419296681881]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7093089520931244, "train_acc": 0.57, "val_loss": 0.7088772654533386, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6842189729213715, "train_acc": 0.57, "val_loss": 0.6941136717796326, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.682930201292038, "train_acc": 0.57, "val_loss": 0.689493715763092, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6819859445095062, "train_acc": 0.57, "val_loss": 0.6668446063995361, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6714435517787933, "train_acc": 0.535, "val_loss": 0.6116358637809753, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5583873987197876, "train_acc": 0.815, "val_loss": 0.4670521914958954, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3856733590364456, "train_acc": 0.855, "val_loss": 0.41747355461120605, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3436696380376816, "train_acc": 0.87, "val_loss": 0.5335276126861572, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3757869601249695, "train_acc": 0.885, "val_loss": 1.0200178623199463, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.37780842185020447, "train_acc": 0.885, "val_loss": 0.47990700602531433, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7088772654533386, "final_val_loss": 0.6668446063995361, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6116358637809753, "final_val_loss": 0.47990700602531433, "initial_val_acc": 0.7, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 5}, "improvement": 0.29999999999999993, "first_improvement_epoch": 3}}
|
82
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.8, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6772, "learning_rate": 0.08443058899112679, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[31.335477, 33.857310, 34.936319, 42.246674, 117.576344], [31.656755, 32.967396, 38.708921, 38.774435, 263.872652], [45.884297, 48.467557, 56.412509, 64.747694, 183.946044], [11.627314, 12.239668, 13.412307, 15.218280, 75.083320], [22.715825, 25.068745, 25.619185, 25.834525, 220.419392], [34.200622, 41.424508, 41.462774, 44.562383, 136.006318], [35.269054, 45.195294, 46.770540, 49.762478, 66.110758]]
### 2
fourier: [[62.533986, 63.674485, 78.800742, 81.328936, 321.570256], [26.691738, 29.620529, 33.646434, 35.420747, 67.814577], [36.433660, 39.400197, 39.565326, 41.438014, 106.299702], [5.144357, 5.288665, 5.569844, 6.712056, 48.568006], [28.739108, 31.013163, 36.092538, 36.449341, 115.789205], [73.289706, 83.393239, 94.550464, 95.400616, 159.471060], [38.706914, 41.672669, 50.349880, 52.476356, 229.319936]]
### 4
fourier: [[64.599329, 68.914462, 84.589950, 89.232753, 353.898926], [32.268632, 33.256052, 42.069757, 46.754786, 169.313067], [50.446313, 51.723877, 65.296452, 72.794334, 219.585876], [30.868910, 31.099380, 40.690105, 45.163040, 160.582461], [140.653791, 147.611719, 183.244628, 197.960250, 695.499307], [56.837822, 58.202343, 74.319145, 83.447754, 319.816485], [86.862165, 92.876497, 111.745110, 120.851187, 486.909778]]
### 6
fourier: [[4.994306, 5.076760, 6.580962, 6.663652, 98.013020], [75.795138, 79.861919, 99.033740, 106.996473, 362.694219], [57.998406, 61.095743, 76.078818, 81.773725, 299.212691], [80.770733, 84.902969, 105.473948, 113.742920, 422.714379], [66.376840, 69.826470, 86.671903, 93.552966, 332.983536], [69.230558, 72.620717, 89.994576, 97.377525, 316.583388], [73.626254, 77.348764, 95.765557, 103.715669, 363.733087]]
### 8
fourier: [[121.557704, 128.578828, 159.269889, 171.935033, 582.924298], [15.670888, 16.387149, 20.325355, 22.027420, 92.651656], [15.681263, 16.557581, 20.640975, 22.067635, 124.376515], [86.639382, 91.424512, 113.220103, 122.430922, 439.889764], [54.663701, 57.404260, 70.842899, 76.973334, 189.333479], [62.961621, 66.463798, 82.395254, 88.902851, 334.125994], [102.532836, 108.395471, 134.352629, 145.062525, 488.975973]]
### 10
fourier: [[92.032214, 96.580961, 119.983739, 128.679040, 383.856504]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
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"network.6.weight": [
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}
## Activation Signature
### 0
fourier: [[31.335477, 33.857310, 34.936319, 42.246674, 117.576344], [31.656755, 32.967396, 38.708921, 38.774435, 263.872652], [45.884297, 48.467557, 56.412509, 64.747694, 183.946044], [11.627314, 12.239668, 13.412307, 15.218280, 75.083320], [22.715825, 25.068745, 25.619185, 25.834525, 220.419392], [34.200622, 41.424508, 41.462774, 44.562383, 136.006318], [35.269054, 45.195294, 46.770540, 49.762478, 66.110758]]
### 2
fourier: [[62.533986, 63.674485, 78.800742, 81.328936, 321.570256], [26.691738, 29.620529, 33.646434, 35.420747, 67.814577], [36.433660, 39.400197, 39.565326, 41.438014, 106.299702], [5.144357, 5.288665, 5.569844, 6.712056, 48.568006], [28.739108, 31.013163, 36.092538, 36.449341, 115.789205], [73.289706, 83.393239, 94.550464, 95.400616, 159.471060], [38.706914, 41.672669, 50.349880, 52.476356, 229.319936]]
### 4
fourier: [[64.599329, 68.914462, 84.589950, 89.232753, 353.898926], [32.268632, 33.256052, 42.069757, 46.754786, 169.313067], [50.446313, 51.723877, 65.296452, 72.794334, 219.585876], [30.868910, 31.099380, 40.690105, 45.163040, 160.582461], [140.653791, 147.611719, 183.244628, 197.960250, 695.499307], [56.837822, 58.202343, 74.319145, 83.447754, 319.816485], [86.862165, 92.876497, 111.745110, 120.851187, 486.909778]]
### 6
fourier: [[4.994306, 5.076760, 6.580962, 6.663652, 98.013020], [75.795138, 79.861919, 99.033740, 106.996473, 362.694219], [57.998406, 61.095743, 76.078818, 81.773725, 299.212691], [80.770733, 84.902969, 105.473948, 113.742920, 422.714379], [66.376840, 69.826470, 86.671903, 93.552966, 332.983536], [69.230558, 72.620717, 89.994576, 97.377525, 316.583388], [73.626254, 77.348764, 95.765557, 103.715669, 363.733087]]
### 8
fourier: [[121.557704, 128.578828, 159.269889, 171.935033, 582.924298], [15.670888, 16.387149, 20.325355, 22.027420, 92.651656], [15.681263, 16.557581, 20.640975, 22.067635, 124.376515], [86.639382, 91.424512, 113.220103, 122.430922, 439.889764], [54.663701, 57.404260, 70.842899, 76.973334, 189.333479], [62.961621, 66.463798, 82.395254, 88.902851, 334.125994], [102.532836, 108.395471, 134.352629, 145.062525, 488.975973]]
### 10
fourier: [[92.032214, 96.580961, 119.983739, 128.679040, 383.856504]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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"activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.025359, 0.780796, -0.077974, 0.241927, -0.545318], [-0.064321, -0.406814, -0.712039, -0.282521, -0.25039], [0.533206, 0.194845, -0.346571, -0.203151, 1.380949], [-0.085133, -0.098934, -0.045079, 0.08423, -0.311888], [-0.444142, -0.215133, -0.27178, -0.172172, 0.105935], [0.667788, -0.355104, -0.472113, 0.309157, 0.8614], [-0.608011, 0.246468, 0.598488, 0.274993, -1.060239]], "network.0.bias": [0.231818, 0.291465, 0.481671, -0.249837, -0.698096, 0.588062, 0.509824], "network.2.weight": [[0.196158, -0.475002, 0.815139, 0.334518, 0.593429, 0.720725, -0.376743], [-0.272781, 0.188102, 0.384946, -0.02735, -0.30175, 0.256654, -0.074893], [-0.692536, -0.234913, 0.258079, 0.092035, -0.059448, 0.127706, -0.532872], [-0.061141, -0.281302, 0.213782, 0.312678, 0.090021, -0.186275, -0.016638], [-0.131272, 0.53005, -0.115301, -0.361389, -0.117155, 0.425678, -0.85762], [-0.591477, -0.297293, 0.890635, -0.081623, -0.164414, 0.762296, -0.537943], [0.313819, -0.153058, 0.553562, -0.274905, 0.061769, 0.473515, -0.208153]], "network.2.bias": [0.709045, -0.042859, -0.164513, -0.565687, -0.391518, 0.1026, 0.282024], "network.4.weight": [[-0.543712, -0.415567, -0.045336, 0.338983, -0.086916, -0.178204, -0.334308], [0.067309, -0.542556, 0.06585, 0.05348, -0.055596, -0.228971, -0.311935], [-0.184645, -0.354586, -0.412966, 0.482522, 0.021363, -0.427683, -0.089072], [-0.237905, -0.363304, -0.025008, 0.1648, -0.778896, -0.463672, 0.583132], [1.027307, 0.025876, 0.933426, -0.257456, 0.165487, 0.983044, 0.345122], [0.166965, -0.359709, -0.086637, -0.351453, -0.2055, -0.706888, -0.43827], [-0.68605, 0.068207, -0.466627, -0.539875, 0.446302, -0.471815, -0.477729]], "network.4.bias": [-0.141882, -0.144464, 0.163876, -0.593814, -0.031311, -0.634369, -0.360502], "network.6.weight": [[-0.011584, 0.32795, 0.591206, 0.855679, 0.036058, 0.272869, 0.636898], [0.020537, 0.060365, 0.524551, -0.157578, 0.541873, -0.377852, -0.197997], [0.083123, -0.125009, -0.2057, -0.547905, -0.414629, -0.050452, 0.040331], [-0.360426, -0.012012, -0.048658, -0.225236, -0.575299, 0.033888, 0.066965], [-0.392917, 0.044429, -0.187586, -0.033474, -0.473338, -0.374292, -0.311411], [0.432477, -0.308173, -0.152886, -0.277933, 0.491307, -0.191157, -0.636127], [-0.546383, -0.468461, 0.123289, -0.478422, 0.52376, 0.183277, -0.752387]], "network.6.bias": [0.785736, -0.170071, -0.108502, -0.246473, -0.036084, -0.272854, -0.004694], "network.8.weight": [[0.08646, 0.571556, 0.479192, 0.423703, 0.246378, 0.55205, 0.552014], [-0.092318, 0.106651, 0.154473, -0.140625, -0.145874, 0.049202, -0.361835], [-0.353611, -0.122483, 0.059705, 0.085616, 0.096209, 0.006972, -0.070978], [0.032868, -0.102647, 0.015217, -0.385926, 0.019117, -0.420604, -0.686229], [0.575733, -0.127399, 0.560752, 0.606941, 0.007653, -0.141379, -0.516374], [-0.118288, -0.083659, -0.317695, -0.110285, -0.153454, -0.57622, -0.228285], [0.223837, 0.166793, 0.105811, -0.086914, 0.503329, 0.576952, 0.676972]], "network.8.bias": [-0.123706, -0.072648, -0.240153, -0.236807, 0.374533, -0.270016, -0.276115], "network.10.weight": [[-0.516546, 0.077746, -0.001463, -0.093801, 0.380636, -0.088655, -0.267165]], "network.10.bias": [0.447188]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6991086602210999, "train_acc": 0.505, "val_loss": 0.6948639154434204, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685139387845993, "train_acc": 0.565, "val_loss": 0.6707881689071655, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6403957605361938, "train_acc": 0.565, "val_loss": 0.6493972539901733, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6603281199932098, "train_acc": 0.55, "val_loss": 0.7117565870285034, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6855365335941315, "train_acc": 0.515, "val_loss": 0.6462085247039795, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5902289748191833, "train_acc": 0.65, "val_loss": 0.5483251214027405, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4974796324968338, "train_acc": 0.775, "val_loss": 0.5027117133140564, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4701705873012543, "train_acc": 0.805, "val_loss": 0.49530109763145447, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4391171485185623, "train_acc": 0.845, "val_loss": 0.481953889131546, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.427430123090744, "train_acc": 0.845, "val_loss": 0.46154335141181946, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3789121210575104, "train_acc": 0.84, "val_loss": 0.4511581361293793, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3543982058763504, "train_acc": 0.84, "val_loss": 0.4639599621295929, "val_acc": 0.76}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3504769504070282, "train_acc": 0.845, "val_loss": 0.46025586128234863, "val_acc": 0.76}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6948639154434204, "final_val_loss": 0.6493972539901733, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.7117565870285034, "final_val_loss": 0.46025586128234863, "initial_val_acc": 0.46, "final_val_acc": 0.76, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
83
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734450156595675, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.682369, 27.661544, 31.866692, 34.847530, 125.739403], [35.201830, 35.821680, 37.785283, 39.704023, 47.491916], [23.652748, 23.846044, 29.735524, 36.117192, 140.480136], [28.670647, 31.603487, 32.804546, 37.741978, 41.119745], [14.235535, 15.295467, 16.803059, 20.194440, 38.795146], [25.470104, 27.384296, 28.184288, 34.516549, 144.716758]]
### 2
fourier: [[5.985366, 6.116676, 6.290010, 7.805595, 74.392142], [31.285380, 32.076182, 33.008169, 39.622380, 73.002009], [22.134084, 23.407862, 28.990857, 33.265902, 138.579184], [28.283655, 29.920040, 36.974096, 40.635821, 214.908131], [13.238649, 13.475123, 14.321717, 15.985617, 18.149100], [38.004140, 38.993725, 39.827754, 46.746787, 89.179503]]
### 4
fourier: [[11.815544, 12.123309, 13.528544, 15.641770, 28.537705], [29.472358, 31.377525, 32.959862, 38.572226, 56.890274], [19.760502, 21.171780, 21.376744, 25.353497, 28.679945], [3.318314, 3.655418, 4.782744, 5.323364, 16.490115], [37.146334, 39.307593, 42.983788, 48.756891, 57.816803], [40.511649, 43.253476, 46.041019, 53.302770, 108.235057]]
### 6
fourier: [[81.940895, 85.651957, 88.977672, 106.052277, 216.622683], [69.977084, 74.264321, 77.605758, 91.875478, 143.066869], [7.289676, 7.437741, 7.907980, 9.984300, 37.293243], [17.252152, 18.438465, 18.448746, 19.170346, 22.814561], [51.165040, 53.788491, 56.157068, 66.571988, 124.887336], [37.954232, 38.746473, 41.569388, 43.359276, 51.334612]]
### 8
fourier: [[49.547964, 49.737602, 50.422470, 63.006966, 288.755115], [43.109318, 44.656013, 45.745699, 55.693465, 97.738906], [9.894322, 10.902929, 11.513363, 13.021473, 43.306262], [128.457169, 133.745231, 137.743591, 166.123949, 301.557239], [78.100770, 82.813097, 85.894887, 102.290510, 174.366000], [29.458803, 29.998292, 30.896081, 31.723026, 38.787364]]
### 10
fourier: [[130.286422, 132.758814, 135.082185, 165.759959, 302.936061]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.682369, 27.661544, 31.866692, 34.847530, 125.739403], [35.201830, 35.821680, 37.785283, 39.704023, 47.491916], [23.652748, 23.846044, 29.735524, 36.117192, 140.480136], [28.670647, 31.603487, 32.804546, 37.741978, 41.119745], [14.235535, 15.295467, 16.803059, 20.194440, 38.795146], [25.470104, 27.384296, 28.184288, 34.516549, 144.716758]]
### 2
fourier: [[5.985366, 6.116676, 6.290010, 7.805595, 74.392142], [31.285380, 32.076182, 33.008169, 39.622380, 73.002009], [22.134084, 23.407862, 28.990857, 33.265902, 138.579184], [28.283655, 29.920040, 36.974096, 40.635821, 214.908131], [13.238649, 13.475123, 14.321717, 15.985617, 18.149100], [38.004140, 38.993725, 39.827754, 46.746787, 89.179503]]
### 4
fourier: [[11.815544, 12.123309, 13.528544, 15.641770, 28.537705], [29.472358, 31.377525, 32.959862, 38.572226, 56.890274], [19.760502, 21.171780, 21.376744, 25.353497, 28.679945], [3.318314, 3.655418, 4.782744, 5.323364, 16.490115], [37.146334, 39.307593, 42.983788, 48.756891, 57.816803], [40.511649, 43.253476, 46.041019, 53.302770, 108.235057]]
### 6
fourier: [[81.940895, 85.651957, 88.977672, 106.052277, 216.622683], [69.977084, 74.264321, 77.605758, 91.875478, 143.066869], [7.289676, 7.437741, 7.907980, 9.984300, 37.293243], [17.252152, 18.438465, 18.448746, 19.170346, 22.814561], [51.165040, 53.788491, 56.157068, 66.571988, 124.887336], [37.954232, 38.746473, 41.569388, 43.359276, 51.334612]]
### 8
fourier: [[49.547964, 49.737602, 50.422470, 63.006966, 288.755115], [43.109318, 44.656013, 45.745699, 55.693465, 97.738906], [9.894322, 10.902929, 11.513363, 13.021473, 43.306262], [128.457169, 133.745231, 137.743591, 166.123949, 301.557239], [78.100770, 82.813097, 85.894887, 102.290510, 174.366000], [29.458803, 29.998292, 30.896081, 31.723026, 38.787364]]
### 10
fourier: [[130.286422, 132.758814, 135.082185, 165.759959, 302.936061]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.682368629946726, 27.66154416856656, 31.866692193998226, 34.847529768817665, 125.73940321803093]}, "1": {"fourier": [35.20183038711548, 35.8216798339467, 37.785283077420566, 39.70402260541234, 47.49191623851382]}, "2": {"fourier": [23.65274764493222, 23.84604415551327, 29.735524180882106, 36.11719164921268, 140.4801364094019]}, "3": {"fourier": [28.67064749210709, 31.60348650633081, 32.80454633238504, 37.741977823871395, 41.11974483728409]}, "4": {"fourier": [14.23553473843801, 15.295466580144138, 16.803058960356672, 20.194439608894555, 38.79514615982771]}, "5": {"fourier": [25.470104244044194, 27.38429612697116, 28.184288390257482, 34.51654911708165, 144.71675822138786]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [5.985365749066143, 6.116676447050669, 6.290009565354414, 7.805594639255584, 74.39214164018631]}, "1": {"fourier": [31.28538009149134, 32.07618238799866, 33.00816883910064, 39.622379757715, 73.00200936943293]}, "2": {"fourier": [22.134084354172348, 23.407861826975623, 28.99085733542235, 33.265902442295484, 138.57918392121792]}, "3": {"fourier": [28.283654639026423, 29.92003956911373, 36.97409644146564, 40.63582135960183, 214.9081313610077]}, "4": {"fourier": [13.238649377395292, 13.475123112038732, 14.321717056409378, 15.985617161034465, 18.149099712485878]}, "5": {"fourier": [38.00414025339258, 38.99372525441427, 39.82775353071306, 46.74678654208416, 89.17950266599655]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [11.815544373569278, 12.123309221165409, 13.528543965480788, 15.641770279637115, 28.53770473599434]}, "1": {"fourier": [29.472358449854156, 31.37752454128942, 32.959862227434286, 38.5722262629189, 56.89027367532253]}, "2": {"fourier": [19.760501799423224, 21.17178031215674, 21.376744247173164, 25.353497183073944, 28.679944694042206]}, "3": {"fourier": [3.3183142036056243, 3.65541832051075, 4.782743858615956, 5.323364222333283, 16.490114897489548]}, "4": {"fourier": [37.14633441448662, 39.307593209018656, 42.98378828200161, 48.75689064291858, 57.81680332124233]}, "5": {"fourier": [40.5116487235096, 43.25347582974782, 46.04101928597673, 53.302769608327125, 108.23505732789636]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [81.94089485435654, 85.65195711329193, 88.97767178337504, 106.05227694760048, 216.62268298864365]}, "1": {"fourier": [69.97708362824825, 74.26432136225277, 77.60575835613412, 91.8754780372432, 143.06686913967133]}, "2": {"fourier": [7.289676070875552, 7.437740880338389, 7.907979858581046, 9.984299771977316, 37.29324324429035]}, "3": {"fourier": [17.2521517238423, 18.43846486920537, 18.4487457126379, 19.170346025665587, 22.81456080087621]}, "4": {"fourier": [51.165039685803954, 53.78849116122372, 56.15706818798409, 66.57198758012224, 124.88733646273613]}, "5": {"fourier": [37.95423165072424, 38.74647348215544, 41.569388347695394, 43.359275932937, 51.3346119220809]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [49.547963659427644, 49.73760203627727, 50.422469974780164, 63.00696587875388, 288.75511503219604]}, "1": {"fourier": [43.10931751106058, 44.65601341170091, 45.74569861255478, 55.69346548614925, 97.73890626430511]}, "2": {"fourier": [9.894322182152449, 10.90292932530038, 11.513363095332906, 13.02147292786298, 43.30626222491264]}, "3": {"fourier": [128.45716945613282, 133.74523133966406, 137.74359087899052, 166.123948661825, 301.5572387576103]}, "4": {"fourier": [78.10076976386486, 82.81309728307504, 85.8948865837928, 102.2905099024466, 174.36599990725517]}, "5": {"fourier": [29.458802983164787, 29.998291516534035, 30.89608058276807, 31.72302577007264, 38.78736426730172]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [130.2864216132619, 132.75881376934313, 135.08218501268703, 165.75995888559783, 302.93606109917164]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.577851, 0.214609, -0.081006, 0.422936, -0.525925], [-0.828986, -0.296861, -0.185134, 0.265047, 0.876627], [0.035811, 0.005821, -0.113452, -0.138875, -0.792506], [0.106661, -0.568775, 0.363195, -0.434074, 0.267284], [-0.269405, 0.019296, 0.317609, -0.179085, 0.314674], [-0.3074, 0.143109, 0.026559, 0.109487, 0.828325]], "network.0.bias": [0.197828, -0.081386, -0.10384, 0.289337, 0.063646, 0.417863], "network.2.weight": [[-0.152106, -0.28286, 0.085261, 0.024585, -0.020015, 0.003223], [-0.332747, 0.476502, 0.53595, 0.150092, 0.364409, 0.633631], [0.020617, -0.488497, -0.286056, -0.501885, -0.052621, -0.543011], [-0.18682, -0.547127, 0.472917, -0.454225, 0.039405, -0.828535], [0.170919, -0.09776, 0.037617, -0.049309, 0.313214, -0.497903], [-0.29807, 0.581807, 0.492621, 0.051465, 0.200819, 0.851262]], "network.2.bias": [-0.436514, -0.138411, -0.27811, -0.338493, 0.488581, -0.295041], "network.4.weight": [[-0.693334, -0.288775, 0.008673, -0.28269, 0.289674, -0.067974], [-0.368776, 0.250469, 0.194609, 0.005667, -0.645195, 0.591281], [0.010717, -0.044452, 0.20349, 0.122648, -0.646042, 0.531451], [0.011279, 0.047686, 0.092667, 0.210899, -0.742483, -0.133119], [0.134487, 0.384565, 0.525965, 0.721897, -0.399716, 0.705752], [0.147094, 0.382458, 0.391254, 0.129284, -0.723881, 0.791916]], "network.4.bias": [0.505197, -0.215818, -0.083636, 0.137458, -0.379988, 0.100092], "network.6.weight": [[-0.394148, 0.650532, 0.523145, -0.102743, 0.832099, 0.601402], [-0.599497, 0.803825, 0.508, 0.253985, 0.351491, 0.620714], [-0.303117, 0.028307, -0.051119, 0.805597, 0.561043, -0.322901], [0.296062, 0.160816, -0.443754, -0.393627, -0.293906, -0.072374], [-0.329919, 0.190218, 0.294809, -0.060354, 0.543396, 0.517614], [0.542217, -0.207337, -0.704704, -0.581952, -0.240438, -0.270976]], "network.6.bias": [0.136656, -0.248435, -0.380012, 0.125312, -0.017283, 0.743979], "network.8.weight": [[-0.549112, 0.191656, 0.697507, 0.781437, -0.463056, -0.739692], [-0.300595, -0.452928, 0.035882, 0.431173, 0.229962, -0.101819], [0.076328, 0.155704, 0.40434, 0.279, -0.195112, -0.348518], [0.74049, 0.567535, 0.364666, 0.192496, 0.537362, -0.421549], [0.556111, 0.493301, 0.1778, -0.138798, -0.056836, -0.468015], [0.203466, -0.489233, -0.224295, 0.192042, -0.241696, 0.035287]], "network.8.bias": [-0.989908, 0.278325, -0.453092, -0.248389, -0.041101, 0.45483], "network.10.weight": [[0.017005, 0.221232, -0.410963, -0.797292, -0.34959, 0.248845]], "network.10.bias": [0.433669]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7016567289829254, "train_acc": 0.44, "val_loss": 0.6465933322906494, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6654678881168365, "train_acc": 0.555, "val_loss": 0.592007040977478, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6410946547985077, "train_acc": 0.48, "val_loss": 0.5104342103004456, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5654565691947937, "train_acc": 0.72, "val_loss": 0.4630809724330902, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4991093724966049, "train_acc": 0.76, "val_loss": 0.45382755994796753, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.47789275646209717, "train_acc": 0.76, "val_loss": 0.42967283725738525, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4712335020303726, "train_acc": 0.755, "val_loss": 0.4647209048271179, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4846351146697998, "train_acc": 0.755, "val_loss": 0.4641960859298706, "val_acc": 0.74}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.47715915739536285, "train_acc": 0.755, "val_loss": 0.4518790543079376, "val_acc": 0.74}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6465933322906494, "final_val_loss": 0.592007040977478, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5104342103004456, "final_val_loss": 0.4518790543079376, "initial_val_acc": 0.72, "final_val_acc": 0.74, "best_val_acc": 0.78, "best_epoch": 5}, "improvement": 0.20000000000000007, "first_improvement_epoch": 1}}
|
84
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413339280459434, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[14.156824, 14.913203, 18.344871, 25.268686, 48.986299], [10.828469, 11.184147, 14.737041, 15.363126, 18.083846], [18.658656, 19.749732, 20.621175, 25.320482, 168.524529], [8.425381, 8.982243, 9.499921, 9.840250, 44.038508], [16.661197, 19.496850, 20.112176, 22.652730, 167.002240], [11.686313, 11.970187, 12.121842, 13.967719, 121.039245], [25.242532, 25.337232, 28.005672, 29.398828, 183.074659], [22.046063, 22.901145, 23.686824, 25.918058, 38.532262]]
### 2
fourier: [[3.231423, 3.309533, 3.834894, 3.965354, 22.740116], [6.881187, 7.598936, 8.098781, 9.807321, 52.558973], [8.598429, 8.746604, 9.811395, 10.096260, 79.068738], [7.780013, 7.937161, 9.251077, 9.444342, 10.630057], [5.447208, 5.503560, 5.721063, 6.540484, 7.193924], [3.241748, 3.411429, 3.805260, 4.020708, 35.911473], [7.560858, 7.912555, 7.969629, 8.480972, 8.942824], [10.611904, 10.964953, 11.206154, 12.374440, 96.966545]]
### 4
fourier: [[3.148687, 3.276165, 4.230823, 4.323159, 12.879307], [7.575891, 7.848220, 8.407765, 10.392185, 75.132068], [2.108568, 2.169756, 2.188737, 2.830592, 33.204000], [3.706664, 3.774883, 4.189542, 4.196228, 4.493092], [5.631983, 5.959499, 6.484606, 7.697397, 99.413309], [1.974832, 2.357092, 2.566650, 2.954137, 58.873805], [12.441172, 12.732950, 13.803755, 17.754651, 124.523684], [3.524842, 3.578866, 3.721191, 3.831244, 70.098119]]
### 6
fourier: [[5.782975, 6.526337, 6.557585, 8.765404, 61.640243], [0.943112, 1.012398, 1.084124, 1.101412, 22.882465], [8.166803, 9.147434, 9.812908, 11.852114, 103.943809], [4.318093, 4.531216, 4.796066, 5.633581, 50.556416], [6.802516, 7.220262, 7.992397, 10.054944, 53.595632], [3.249268, 3.264860, 3.625358, 3.936750, 5.024298], [6.313144, 6.771802, 7.391372, 9.372502, 62.031600], [9.662763, 10.557412, 11.475549, 14.296600, 101.725903]]
### 8
fourier: [[10.533988, 11.268684, 12.229638, 15.312381, 91.844853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[14.156824, 14.913203, 18.344871, 25.268686, 48.986299], [10.828469, 11.184147, 14.737041, 15.363126, 18.083846], [18.658656, 19.749732, 20.621175, 25.320482, 168.524529], [8.425381, 8.982243, 9.499921, 9.840250, 44.038508], [16.661197, 19.496850, 20.112176, 22.652730, 167.002240], [11.686313, 11.970187, 12.121842, 13.967719, 121.039245], [25.242532, 25.337232, 28.005672, 29.398828, 183.074659], [22.046063, 22.901145, 23.686824, 25.918058, 38.532262]]
### 2
fourier: [[3.231423, 3.309533, 3.834894, 3.965354, 22.740116], [6.881187, 7.598936, 8.098781, 9.807321, 52.558973], [8.598429, 8.746604, 9.811395, 10.096260, 79.068738], [7.780013, 7.937161, 9.251077, 9.444342, 10.630057], [5.447208, 5.503560, 5.721063, 6.540484, 7.193924], [3.241748, 3.411429, 3.805260, 4.020708, 35.911473], [7.560858, 7.912555, 7.969629, 8.480972, 8.942824], [10.611904, 10.964953, 11.206154, 12.374440, 96.966545]]
### 4
fourier: [[3.148687, 3.276165, 4.230823, 4.323159, 12.879307], [7.575891, 7.848220, 8.407765, 10.392185, 75.132068], [2.108568, 2.169756, 2.188737, 2.830592, 33.204000], [3.706664, 3.774883, 4.189542, 4.196228, 4.493092], [5.631983, 5.959499, 6.484606, 7.697397, 99.413309], [1.974832, 2.357092, 2.566650, 2.954137, 58.873805], [12.441172, 12.732950, 13.803755, 17.754651, 124.523684], [3.524842, 3.578866, 3.721191, 3.831244, 70.098119]]
### 6
fourier: [[5.782975, 6.526337, 6.557585, 8.765404, 61.640243], [0.943112, 1.012398, 1.084124, 1.101412, 22.882465], [8.166803, 9.147434, 9.812908, 11.852114, 103.943809], [4.318093, 4.531216, 4.796066, 5.633581, 50.556416], [6.802516, 7.220262, 7.992397, 10.054944, 53.595632], [3.249268, 3.264860, 3.625358, 3.936750, 5.024298], [6.313144, 6.771802, 7.391372, 9.372502, 62.031600], [9.662763, 10.557412, 11.475549, 14.296600, 101.725903]]
### 8
fourier: [[10.533988, 11.268684, 12.229638, 15.312381, 91.844853]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.211347, -0.389442, 0.36718, 0.276127, -0.095491], [-0.23847, 0.329939, -0.038675, 0.037126, -0.100945], [0.007162, 0.546506, 0.247469, -0.128171, 0.124801], [0.266621, -0.063056, -0.076151, 0.034105, -0.084724], [-0.227764, -0.34594, -0.19186, -0.035415, -0.117588], [-0.033061, -0.358636, -0.032826, 0.034193, -0.095476], [0.207553, 0.146802, -0.50952, -0.148379, -0.550504], [0.0916, -0.010456, 0.484756, -0.393544, -0.29485]], "network.0.bias": [0.275586, -0.379717, 0.471726, 0.462851, -0.320018, -0.537224, -0.498481, -0.328093], "network.2.weight": [[-0.156966, -0.088718, -0.153337, 0.091447, -0.327868, 0.110511, -0.049994, 0.038107], [-0.290661, 0.316068, 0.133328, 0.350268, -0.003503, -0.179585, 0.060479, -0.087313], [-0.185689, 0.434493, 0.317077, 0.090655, 0.298073, -0.264882, 0.300637, 0.199222], [0.512476, -0.099533, -0.001449, -0.445784, 0.368418, -0.388339, -0.361601, -0.082476], [0.411551, 0.118658, 0.015507, -0.060189, -0.155332, 0.203873, -0.143974, -0.49599], [-0.17469, -0.030209, 0.096881, 0.118411, -0.169595, -0.163621, 0.212556, 0.090364], [0.428644, 0.045368, -0.066252, -0.468037, 0.109253, 0.056124, -0.000695, -0.337958], [-0.405801, 0.085242, 0.343976, 0.480264, -0.267579, 0.032488, 0.313406, 0.106329]], "network.2.bias": [0.610853, 0.339615, 0.22293, 0.010586, -0.197135, 0.256061, 0.150515, 0.42867], "network.4.weight": [[0.228097, -0.157445, -0.08261, 0.163304, 0.511084, -0.070468, 0.307441, 0.230928], [0.50562, 0.141871, 0.156363, -0.110908, 0.037916, -0.019683, -0.348307, 0.429686], [0.225436, -0.297269, -0.047733, -0.093027, -0.351017, -0.117288, -0.026798, 0.260167], [-0.126816, 0.023382, -0.308426, -0.235538, -0.037272, -0.174219, 0.025198, 0.484296], [-0.337212, -0.086453, -0.133976, 0.001374, 0.234112, 0.168535, -0.04431, -0.458935], [-0.211829, -0.215213, -0.110098, 0.169791, -0.305115, -0.013556, -0.039758, 0.035637], [0.568549, 0.462405, 0.177215, -0.301316, -0.447401, 0.35979, -0.147772, 0.458813], [-0.220088, -0.205937, -0.376539, -0.311179, -0.013458, 0.218905, 0.107317, -0.036148]], "network.4.bias": [-0.13852, 0.109823, -0.367656, -0.13346, -0.43825, -0.4032, 0.323046, -0.249266], "network.6.weight": [[-0.525061, 0.337251, -0.243805, -0.362942, 0.280929, -0.023793, 0.232413, -0.187023], [-0.342579, 0.108565, -0.313265, 0.229816, -0.423192, -0.210375, -0.096841, 0.226739], [-0.054659, 0.479154, 0.046005, 0.241345, -0.114647, -0.452945, 0.3908, -0.284784], [0.298996, 0.086204, -0.209299, 0.03205, 0.225246, -0.008955, 0.350014, 0.079278], [-0.454156, 0.118333, 0.208804, 0.224368, -0.214351, -0.324927, 0.404901, 0.225021], [0.249406, -0.399943, -0.155622, 0.459418, 0.044872, -0.11728, -0.044884, -8.4e-05], [0.076404, -0.259364, -0.333728, 0.129975, -0.107205, 0.19742, -0.397999, -0.276361], [-0.202848, 0.483804, -0.294288, 0.042473, -0.119076, 0.208166, 0.515695, -0.065754]], "network.6.bias": [0.180939, -0.175267, 0.189002, -0.052042, -0.022287, 0.327158, 0.068581, 0.022817], "network.8.weight": [[-0.216283, -0.014958, -0.260422, -0.11768, -0.296769, 0.291168, 0.111094, -0.446499]], "network.8.bias": [0.163518]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6968017816543579, "train_acc": 0.43, "val_loss": 0.6834458708763123, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6922330856323242, "train_acc": 0.54, "val_loss": 0.6609860062599182, "val_acc": 0.6}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6649974882602692, "train_acc": 0.54, "val_loss": 0.6321235299110413, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6473203003406525, "train_acc": 0.49, "val_loss": 0.5735670328140259, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5448650121688843, "train_acc": 0.86, "val_loss": 0.48736992478370667, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.453528955578804, "train_acc": 0.89, "val_loss": 0.3944281339645386, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3608749508857727, "train_acc": 0.905, "val_loss": 0.3542342483997345, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.31190934777259827, "train_acc": 0.895, "val_loss": 0.3600706160068512, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.25192447006702423, "train_acc": 0.89, "val_loss": 0.4246521294116974, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.26431581377983093, "train_acc": 0.92, "val_loss": 0.4717027246952057, "val_acc": 0.86}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6834458708763123, "final_val_loss": 0.6321235299110413, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5735670328140259, "final_val_loss": 0.4717027246952057, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 4}, "improvement": 0.28, "first_improvement_epoch": 2}}
|
85
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.04296735297046316, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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}
## Activation Signature
### 0
fourier: [[25.790831, 27.943102, 28.631568, 31.054212, 39.643838], [26.063354, 26.064389, 27.246640, 29.847714, 33.878971], [23.485949, 24.681769, 29.632464, 37.128502, 73.765236], [23.050565, 23.734083, 25.343953, 26.355911, 191.959023], [25.847449, 28.593568, 32.062418, 32.542672, 184.608857]]
### 2
fourier: [[16.218174, 17.566931, 19.332035, 20.501864, 21.271622], [18.544451, 19.024827, 21.527199, 24.564186, 161.055959], [20.533955, 23.819333, 23.855265, 23.963329, 98.120430], [14.937400, 18.528095, 18.912341, 21.080778, 87.993274], [10.180087, 10.315340, 10.437909, 11.672841, 12.686325]]
### 4
fourier: [[19.680533, 22.772861, 25.117698, 26.743057, 95.981717], [36.675861, 39.863541, 47.142590, 47.448804, 289.606766], [32.287278, 32.831468, 41.038600, 42.673177, 259.320077], [37.201499, 39.499175, 43.949910, 46.421716, 134.029290], [21.722216, 23.648202, 27.936054, 28.666048, 131.019286]]
### 6
fourier: [[52.871347, 58.778161, 70.963219, 72.660056, 343.382059], [9.950234, 10.120416, 12.221815, 12.372322, 174.294790], [69.158281, 75.005300, 90.182022, 93.472583, 456.569571], [30.339252, 35.568756, 41.487513, 41.923418, 137.296317], [76.526419, 84.620771, 102.159874, 104.729755, 544.663206]]
### 8
fourier: [[4.980744, 5.206273, 5.359367, 6.633311, 78.485263], [119.290446, 133.214155, 159.569711, 160.587205, 814.961655], [139.672139, 155.865106, 186.797735, 187.991472, 1023.550723], [145.870486, 164.657623, 197.123951, 199.814762, 1097.494462], [120.042510, 134.566952, 161.181021, 162.617835, 834.890741]]
### 10
fourier: [[56.849633, 66.211540, 77.563108, 78.900824, 345.505111], [133.093612, 151.001783, 179.780406, 182.481437, 938.835162], [175.025608, 198.561275, 236.363762, 239.846845, 1319.076730], [49.604281, 56.554636, 67.032497, 67.978167, 315.722742], [154.437207, 175.749505, 208.727629, 211.799609, 1039.512662]]
### 12
fourier: [[105.909029, 123.508185, 141.863323, 146.281774, 667.622901]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.724576
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0.342871,
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],
[
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],
[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
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[
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[
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],
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"network.12.weight": [
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]
}
## Activation Signature
### 0
fourier: [[25.790831, 27.943102, 28.631568, 31.054212, 39.643838], [26.063354, 26.064389, 27.246640, 29.847714, 33.878971], [23.485949, 24.681769, 29.632464, 37.128502, 73.765236], [23.050565, 23.734083, 25.343953, 26.355911, 191.959023], [25.847449, 28.593568, 32.062418, 32.542672, 184.608857]]
### 2
fourier: [[16.218174, 17.566931, 19.332035, 20.501864, 21.271622], [18.544451, 19.024827, 21.527199, 24.564186, 161.055959], [20.533955, 23.819333, 23.855265, 23.963329, 98.120430], [14.937400, 18.528095, 18.912341, 21.080778, 87.993274], [10.180087, 10.315340, 10.437909, 11.672841, 12.686325]]
### 4
fourier: [[19.680533, 22.772861, 25.117698, 26.743057, 95.981717], [36.675861, 39.863541, 47.142590, 47.448804, 289.606766], [32.287278, 32.831468, 41.038600, 42.673177, 259.320077], [37.201499, 39.499175, 43.949910, 46.421716, 134.029290], [21.722216, 23.648202, 27.936054, 28.666048, 131.019286]]
### 6
fourier: [[52.871347, 58.778161, 70.963219, 72.660056, 343.382059], [9.950234, 10.120416, 12.221815, 12.372322, 174.294790], [69.158281, 75.005300, 90.182022, 93.472583, 456.569571], [30.339252, 35.568756, 41.487513, 41.923418, 137.296317], [76.526419, 84.620771, 102.159874, 104.729755, 544.663206]]
### 8
fourier: [[4.980744, 5.206273, 5.359367, 6.633311, 78.485263], [119.290446, 133.214155, 159.569711, 160.587205, 814.961655], [139.672139, 155.865106, 186.797735, 187.991472, 1023.550723], [145.870486, 164.657623, 197.123951, 199.814762, 1097.494462], [120.042510, 134.566952, 161.181021, 162.617835, 834.890741]]
### 10
fourier: [[56.849633, 66.211540, 77.563108, 78.900824, 345.505111], [133.093612, 151.001783, 179.780406, 182.481437, 938.835162], [175.025608, 198.561275, 236.363762, 239.846845, 1319.076730], [49.604281, 56.554636, 67.032497, 67.978167, 315.722742], [154.437207, 175.749505, 208.727629, 211.799609, 1039.512662]]
### 12
fourier: [[105.909029, 123.508185, 141.863323, 146.281774, 667.622901]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.068662, -0.427314, 0.157024, -0.371463, 0.724576], [-0.355484, -0.47176, -0.185532, 0.342871, 0.41397], [-0.782599, 0.281632, 0.24453, 0.195247, -0.102786], [-0.530694, -0.235727, -0.095427, -0.035519, -0.098243], [-0.674247, -0.214795, 0.034073, -0.139682, -0.221256]], "network.0.bias": [-0.013818, 0.067324, 0.477596, -0.646241, -0.319497], "network.2.weight": [[-0.517847, -0.694987, -0.578551, 0.474284, 0.709699], [0.68886, 0.378676, 0.873447, -1.083138, -0.587644], [0.870423, 0.818784, 0.470861, -1.090278, -0.539851], [0.250433, 0.534634, 0.786879, -0.182555, -0.499489], [-0.341377, -0.379436, -0.320371, -0.173248, 0.60593]], "network.2.bias": [0.964243, 0.250839, -0.236718, -0.230096, 0.530211], "network.4.weight": [[0.483897, -0.11329, -0.385932, -0.600144, 0.337504], [-0.528959, 0.813625, 0.48713, 0.777918, -0.183839], [-0.196819, 1.103025, -0.022841, 0.712118, -0.332228], [0.998787, -0.271762, -0.949509, -0.633205, 0.380365], [-0.399785, 0.241185, 0.463132, 0.378211, -0.89608]], "network.4.bias": [-0.001629, 0.667906, 0.378327, 0.379731, 0.314973], "network.6.weight": [[-0.482079, 0.359419, 0.479229, -0.716347, 0.945542], [-0.763269, -0.12318, -0.243296, -0.529456, -0.110938], [-0.663334, 0.726687, 0.782103, -0.901954, 0.439119], [-0.448579, 0.500475, -0.292356, -0.754011, 0.779756], [-0.761801, 0.800621, 0.803047, -0.662595, 0.800609]], "network.6.bias": [0.161108, -0.479866, 0.19979, -0.127316, 0.280079], "network.8.weight": [[0.574213, 0.958669, -0.203376, 0.653596, -0.457578], [-0.493686, -0.346887, -0.846465, -0.989139, -0.255341], [0.360892, 0.585247, 0.824569, 1.131556, 0.595177], [0.822185, 0.232503, 0.494126, 0.405597, 0.925673], [-0.742958, -0.296272, -0.788917, -0.768238, -0.2293]], "network.8.bias": [-0.353836, 0.777743, -0.168876, -0.21231, 0.69193], "network.10.weight": [[-0.830521, 0.895657, -0.357963, -0.035156, 0.261738], [-0.371385, 0.512106, -0.334153, -0.587177, 0.351634], [0.077543, -0.448775, 0.489145, 0.72412, -0.756727], [-0.327407, 0.610199, -0.293143, -0.054951, -0.109061], [-0.808096, 0.690791, -0.5897, -0.483967, 0.672329]], "network.10.bias": [0.374394, 0.394573, 0.382448, 0.381956, 0.790658], "network.12.weight": [[0.496929, 0.441272, -0.535955, 0.533097, 0.823207]], "network.12.bias": [-0.158588]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885707676410675, "train_acc": 0.55, "val_loss": 0.6769229173660278, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6876468062400818, "train_acc": 0.55, "val_loss": 0.6733695268630981, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.684296190738678, "train_acc": 0.55, "val_loss": 0.657599687576294, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6665517091751099, "train_acc": 0.55, "val_loss": 0.6052448153495789, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6032868921756744, "train_acc": 0.635, "val_loss": 0.48856544494628906, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.448408305644989, "train_acc": 0.925, "val_loss": 0.3011169135570526, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.26314371079206467, "train_acc": 0.93, "val_loss": 0.1879788637161255, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.22091425955295563, "train_acc": 0.935, "val_loss": 0.1477002650499344, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.1888311430811882, "train_acc": 0.935, "val_loss": 0.1635139435529709, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.2041638195514679, "train_acc": 0.945, "val_loss": 0.1460758000612259, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.19410526752471924, "train_acc": 0.95, "val_loss": 0.1471567302942276, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.17702531814575195, "train_acc": 0.95, "val_loss": 0.13809581100940704, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.17427267134189606, "train_acc": 0.95, "val_loss": 0.13749366998672485, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.17064885050058365, "train_acc": 0.95, "val_loss": 0.13642556965351105, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6769229173660278, "final_val_loss": 0.6052448153495789, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.48856544494628906, "final_val_loss": 0.13642556965351105, "initial_val_acc": 0.94, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
86
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679902498, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "palindrome", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["palindrome"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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[
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[
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]
}
## Activation Signature
### 0
fourier: [[47.935709, 50.714678, 56.287315, 61.188407, 444.533685], [31.817583, 33.810265, 34.586741, 35.942119, 40.706367], [35.136936, 39.902318, 46.530892, 47.217782, 56.734092], [63.869655, 66.053499, 68.459397, 90.200114, 203.337097], [45.825191, 48.854648, 48.875848, 53.725913, 227.330237], [78.386440, 81.986748, 87.035187, 108.349948, 267.226763], [25.049215, 25.149139, 25.294390, 29.656093, 246.266856]]
### 2
fourier: [[12.385725, 12.828755, 12.874850, 20.262678, 40.641531], [18.941672, 21.572100, 21.790630, 26.220040, 109.997540], [13.677375, 14.001141, 14.068018, 14.193722, 60.707726], [15.005381, 15.166254, 17.515383, 18.881213, 20.656521], [12.824387, 13.073413, 13.556470, 18.990443, 78.944543], [10.481375, 10.966181, 12.049801, 12.396278, 51.840351], [19.368352, 22.418331, 25.977177, 26.868708, 76.361984]]
### 4
fourier: [[11.200329, 12.126904, 12.409297, 14.212547, 18.301523], [42.646392, 46.904000, 48.466304, 48.657446, 259.081992], [46.911335, 50.534733, 51.993755, 59.588322, 273.852005], [14.859866, 15.479272, 18.633105, 21.677155, 22.306681], [50.380662, 54.465414, 55.471884, 56.595032, 244.179899], [45.130584, 49.403624, 50.936397, 62.962806, 291.267181], [25.079653, 27.970934, 28.937228, 38.641444, 89.508998]]
### 6
fourier: [[7.602855, 8.303115, 8.475153, 9.024555, 102.809645], [20.888371, 21.272605, 21.810491, 28.462855, 86.137105], [19.082654, 19.657864, 20.126430, 26.115775, 29.576867], [15.279100, 15.350966, 15.917460, 21.508616, 65.135883], [14.036834, 14.684281, 15.001930, 19.428619, 66.218453], [6.808230, 7.095835, 7.144699, 8.535187, 9.405750], [3.287828, 3.818708, 3.859670, 4.785708, 60.355032]]
### 8
fourier: [[12.785775, 13.453434, 15.141290, 18.310693, 63.199014], [22.672362, 22.706369, 24.985929, 32.385021, 75.094286], [9.719328, 12.106439, 12.803185, 14.414552, 31.215276], [14.736097, 14.989963, 15.925664, 21.230305, 21.666865], [20.261013, 21.557384, 22.546476, 24.298461, 29.851027], [38.262328, 38.779970, 40.187229, 54.673278, 95.770553], [9.132777, 9.441439, 9.914679, 10.653646, 95.700796]]
### 10
fourier: [[6.832783, 6.948361, 6.985039, 9.078693, 92.433679], [43.688841, 50.905689, 55.722273, 63.904347, 143.138423], [29.995085, 36.066050, 39.275517, 44.145206, 82.692098], [23.947550, 25.908140, 28.892685, 34.450990, 62.128900], [11.001439, 11.231908, 11.492768, 13.063468, 101.378006], [43.051030, 43.615907, 44.525776, 57.727850, 210.488576], [42.996903, 45.601553, 48.630030, 54.057768, 65.563574]]
### 12
fourier: [[26.847406, 27.924055, 30.353688, 39.067066, 88.041136]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
palindrome
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[47.935709, 50.714678, 56.287315, 61.188407, 444.533685], [31.817583, 33.810265, 34.586741, 35.942119, 40.706367], [35.136936, 39.902318, 46.530892, 47.217782, 56.734092], [63.869655, 66.053499, 68.459397, 90.200114, 203.337097], [45.825191, 48.854648, 48.875848, 53.725913, 227.330237], [78.386440, 81.986748, 87.035187, 108.349948, 267.226763], [25.049215, 25.149139, 25.294390, 29.656093, 246.266856]]
### 2
fourier: [[12.385725, 12.828755, 12.874850, 20.262678, 40.641531], [18.941672, 21.572100, 21.790630, 26.220040, 109.997540], [13.677375, 14.001141, 14.068018, 14.193722, 60.707726], [15.005381, 15.166254, 17.515383, 18.881213, 20.656521], [12.824387, 13.073413, 13.556470, 18.990443, 78.944543], [10.481375, 10.966181, 12.049801, 12.396278, 51.840351], [19.368352, 22.418331, 25.977177, 26.868708, 76.361984]]
### 4
fourier: [[11.200329, 12.126904, 12.409297, 14.212547, 18.301523], [42.646392, 46.904000, 48.466304, 48.657446, 259.081992], [46.911335, 50.534733, 51.993755, 59.588322, 273.852005], [14.859866, 15.479272, 18.633105, 21.677155, 22.306681], [50.380662, 54.465414, 55.471884, 56.595032, 244.179899], [45.130584, 49.403624, 50.936397, 62.962806, 291.267181], [25.079653, 27.970934, 28.937228, 38.641444, 89.508998]]
### 6
fourier: [[7.602855, 8.303115, 8.475153, 9.024555, 102.809645], [20.888371, 21.272605, 21.810491, 28.462855, 86.137105], [19.082654, 19.657864, 20.126430, 26.115775, 29.576867], [15.279100, 15.350966, 15.917460, 21.508616, 65.135883], [14.036834, 14.684281, 15.001930, 19.428619, 66.218453], [6.808230, 7.095835, 7.144699, 8.535187, 9.405750], [3.287828, 3.818708, 3.859670, 4.785708, 60.355032]]
### 8
fourier: [[12.785775, 13.453434, 15.141290, 18.310693, 63.199014], [22.672362, 22.706369, 24.985929, 32.385021, 75.094286], [9.719328, 12.106439, 12.803185, 14.414552, 31.215276], [14.736097, 14.989963, 15.925664, 21.230305, 21.666865], [20.261013, 21.557384, 22.546476, 24.298461, 29.851027], [38.262328, 38.779970, 40.187229, 54.673278, 95.770553], [9.132777, 9.441439, 9.914679, 10.653646, 95.700796]]
### 10
fourier: [[6.832783, 6.948361, 6.985039, 9.078693, 92.433679], [43.688841, 50.905689, 55.722273, 63.904347, 143.138423], [29.995085, 36.066050, 39.275517, 44.145206, 82.692098], [23.947550, 25.908140, 28.892685, 34.450990, 62.128900], [11.001439, 11.231908, 11.492768, 13.063468, 101.378006], [43.051030, 43.615907, 44.525776, 57.727850, 210.488576], [42.996903, 45.601553, 48.630030, 54.057768, 65.563574]]
### 12
fourier: [[26.847406, 27.924055, 30.353688, 39.067066, 88.041136]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
palindrome
|
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7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.314598, -1.01734, -0.779315, 0.008111, -0.225759], [0.222487, 0.529242, 0.338836, -0.414008, -0.876215], [-0.638207, 0.131374, 0.388386, -0.228736, -0.943237], [-1.779626, 0.169155, 0.275562, -0.015978, -0.741362], [-0.463269, -0.540673, 0.531648, -0.650344, -0.889981], [-1.642912, 0.418687, -0.164395, 0.142652, -1.396993], [-0.035353, -0.440673, -0.172252, -0.229353, -0.423493]], "network.0.bias": [-0.804998, -0.091066, 0.766983, 0.020099, 0.417562, 0.072837, -0.515343], "network.2.weight": [[0.473863, 0.049076, -0.110665, 0.036392, -0.799699, -1.095812, 1.225487], [-0.511328, 0.41542, 0.594347, 0.110576, 0.611707, 0.805278, -1.380838], [-1.072868, -0.072118, 0.51551, 0.049739, 0.711084, 0.146766, -1.804158], [0.429249, 0.774143, 0.037642, -0.637763, -0.252687, -0.295082, 0.927012], [-0.459127, -0.241018, 0.523801, 0.054287, 0.705319, 0.437764, -1.166808], [-0.474245, 0.046151, 0.313134, 0.073786, 0.473507, 0.428215, -1.119209], [1.083926, -0.802439, -0.257991, -0.663274, -0.32077, 0.67298, 1.022565]], "network.2.bias": [0.059297, 0.243592, 0.199876, -0.376381, 0.477991, 0.122566, -0.102747], "network.4.weight": [[0.046729, 0.029448, -0.362792, 0.155667, -0.274391, -0.278197, 0.402588], [0.036385, -0.806658, -0.885283, 0.272429, -0.809986, -0.383126, 1.083073], [-0.298133, -0.808004, -0.498417, 0.489263, -1.148373, -0.886989, 0.503084], [-0.829458, 0.132452, 0.144762, -1.151409, 0.084973, 0.162412, -1.247463], [-0.916752, -0.975167, -1.175317, 0.484184, -0.566432, -0.65917, 0.97802], [0.29364, -0.969493, -0.042568, 0.76417, -1.015701, -1.20833, 0.246267], [-0.285335, 0.586042, 0.463081, -1.367944, 0.206022, 0.125579, -1.320973]], "network.4.bias": [0.703436, -0.678312, -0.608525, -0.05788, -0.270166, -0.869747, 0.061646], "network.6.weight": [[-0.557862, 0.555469, 0.349082, -0.41904, 0.297303, 1.231519, -0.300567], [-0.801151, 0.845193, 0.045013, -0.073354, 0.119763, 0.212722, 0.742851], [0.813467, -0.541632, -0.793351, -0.472016, -0.22518, -0.512173, -0.466721], [-0.979711, 0.300433, 0.591506, 0.253429, 0.026576, 0.637381, 0.365172], [-0.683741, 0.28893, 0.641852, 0.411683, 0.148708, -0.028738, 0.327324], [-0.359797, 0.850222, 0.449239, 0.171248, 0.444541, 0.963569, 0.089652], [0.28236, 0.258462, 0.238368, -0.166375, -0.112873, 0.562856, -0.074724]], "network.6.bias": [-0.356741, 0.451665, 0.66303, 0.582307, 0.477855, 0.13765, -0.543762], "network.8.weight": [[-0.231319, -0.273961, 0.745066, 0.778853, -0.548561, -1.159807, -0.045238], [-0.666105, -0.353209, 0.990104, -0.142565, -0.218188, -0.524739, -0.560702], [-0.016639, 0.220729, -0.849872, 0.036272, -0.296121, 0.409104, -0.043994], [0.397488, -0.19589, 0.541554, -0.34434, -0.18228, 0.146406, -1.319799], [-0.328048, 0.140598, -1.204843, 0.292488, 0.324347, -0.155556, -0.003381], [-0.575835, 0.750322, -1.19726, 0.603968, 0.331361, 0.225671, -0.23297], [0.076819, 0.018473, -0.291686, -0.134562, -0.564191, -0.316714, 0.075517]], "network.8.bias": [0.429782, 0.716199, 0.049606, -0.165798, 0.321918, 0.259777, -0.399409], "network.10.weight": [[-0.186519, 0.029765, 0.122189, 0.243943, 0.078395, -0.264475, 0.081907], [0.762846, 1.381599, -0.595963, 0.148969, -0.153389, -0.353204, -0.577857], [-0.333515, -0.998258, 0.206593, -0.611757, 0.445545, 0.097417, 0.080123], [-0.29631, -0.625026, -0.026379, 0.052739, 0.43954, 0.180897, 0.073008], [0.434655, -0.122858, -0.225275, -1.03614, -0.337615, -0.170759, 0.460183], [0.355004, -0.073958, 0.612727, -0.30496, -0.84166, -0.917673, -0.155012], [-0.30027, -1.031215, 0.002054, -0.601133, 0.128178, 0.743062, -0.55493]], "network.10.bias": [-0.6233, 0.104753, 0.056844, -0.331246, -0.665398, -0.732023, 0.138329], "network.12.weight": [[-0.073823, -0.303427, 0.200887, 0.038079, 0.19666, 0.468227, 0.539747]], "network.12.bias": [-1.025152]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.697492390871048, "train_acc": 0.585, "val_loss": 0.7135833501815796, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6711336970329285, "train_acc": 0.585, "val_loss": 0.5971310138702393, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6204777956008911, "train_acc": 0.655, "val_loss": 0.5858221650123596, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6380331516265869, "train_acc": 0.765, "val_loss": 0.7180519104003906, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6516297161579132, "train_acc": 0.595, "val_loss": 0.5422273874282837, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5226456224918365, "train_acc": 0.78, "val_loss": 0.4350110590457916, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.539758488535881, "train_acc": 0.815, "val_loss": 0.5013566613197327, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5202552676200867, "train_acc": 0.815, "val_loss": 0.4651421010494232, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.47566764056682587, "train_acc": 0.85, "val_loss": 0.3464645445346832, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.47267666459083557, "train_acc": 0.855, "val_loss": 0.3469294011592865, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.409802570939064, "train_acc": 0.875, "val_loss": 0.33580633997917175, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3588426858186722, "train_acc": 0.89, "val_loss": 0.22891834378242493, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7135833501815796, "final_val_loss": 0.5971310138702393, "initial_val_acc": 0.48, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5858221650123596, "final_val_loss": 0.22891834378242493, "initial_val_acc": 0.84, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
87
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.62, "improved_accuracy": 0.8, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2106, "learning_rate": 0.07254044620270297, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
"network.8.bias": [
-0.420454,
0.302496,
-0.057277,
-0.06578,
-0.153952,
-0.496933
],
"network.10.weight": [
[
-0.102033,
0.288361,
-0.039267,
0.061682,
0.090678,
0.173437
]
],
"network.10.bias": [
-0.461964
]
}
## Activation Signature
### 0
fourier: [[38.449491, 41.174525, 41.923076, 50.780925, 93.750761], [31.745619, 35.291655, 36.609516, 37.484089, 124.085578], [22.909693, 30.048631, 32.816351, 33.529519, 104.358875], [24.106511, 24.213948, 26.113192, 27.358797, 80.470072], [19.994932, 21.357752, 27.246950, 27.348466, 43.754262], [24.133503, 26.253298, 26.809436, 27.750490, 40.105328]]
### 2
fourier: [[22.169233, 22.221982, 22.539481, 27.569663, 136.009625], [20.554758, 22.134321, 24.889349, 25.297046, 120.075656], [10.838280, 10.849979, 11.315086, 12.976860, 117.503192], [14.339167, 14.604830, 16.628445, 18.133189, 169.544064], [13.823670, 13.909639, 14.776190, 15.086814, 46.242261], [17.191913, 17.786089, 18.373077, 20.932662, 139.344819]]
### 4
fourier: [[15.914654, 17.747374, 20.020621, 20.375885, 126.127167], [17.242468, 17.563119, 17.630430, 22.285462, 123.497355], [12.569956, 12.650044, 13.644820, 14.165958, 96.065460], [9.657352, 11.352067, 12.018705, 12.770291, 89.425107], [20.982098, 23.081117, 23.286510, 23.666965, 24.244039], [9.659398, 9.873279, 11.092845, 11.122491, 123.913472]]
### 6
fourier: [[3.539677, 3.955625, 4.161480, 4.337753, 41.259745], [7.448570, 8.260429, 9.611469, 9.697604, 119.707759], [3.179784, 3.338992, 3.367696, 3.428467, 46.792145], [1.987857, 2.375596, 2.589825, 2.788695, 10.134294], [15.499102, 16.433907, 17.929878, 18.576229, 35.960170], [23.673747, 24.731070, 26.177939, 27.829659, 53.354222]]
### 8
fourier: [[1.539755, 1.541994, 1.635469, 1.829406, 43.777859], [7.620659, 7.938796, 9.142118, 9.856495, 54.189309], [3.156824, 3.241302, 3.543531, 3.958062, 17.400994], [0.981232, 0.991843, 1.144454, 1.206047, 9.026560], [2.075281, 2.167354, 2.488016, 2.673713, 6.531452], [0.874638, 0.907202, 1.033602, 1.099890, 47.737452]]
### 10
fourier: [[2.287156, 2.373596, 2.765742, 2.999044, 25.617798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.19973,
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],
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0.00701,
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],
[
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-0.574652,
0.229218,
0.28196,
-0.092576
],
[
0.155286,
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0.522364
],
[
-0.100308,
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0.212526,
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],
[
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]
],
"network.0.bias": [
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0.033618,
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],
"network.2.weight": [
[
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],
[
-0.304773,
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0.313332
],
[
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],
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0.0193,
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],
[
0.328161,
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0.377863,
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],
[
0.239597,
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0.33677,
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]
],
"network.2.bias": [
0.534594,
0.631654,
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0.525277
],
"network.4.weight": [
[
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],
[
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0.031456
],
[
0.251643,
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],
[
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0.132622,
0.043209,
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0.029649
],
[
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0.537955
],
[
-0.100522,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
"network.6.bias": [
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0.29669
],
"network.8.weight": [
[
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"network.8.bias": [
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],
"network.10.weight": [
[
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]
],
"network.10.bias": [
-0.461964
]
}
## Activation Signature
### 0
fourier: [[38.449491, 41.174525, 41.923076, 50.780925, 93.750761], [31.745619, 35.291655, 36.609516, 37.484089, 124.085578], [22.909693, 30.048631, 32.816351, 33.529519, 104.358875], [24.106511, 24.213948, 26.113192, 27.358797, 80.470072], [19.994932, 21.357752, 27.246950, 27.348466, 43.754262], [24.133503, 26.253298, 26.809436, 27.750490, 40.105328]]
### 2
fourier: [[22.169233, 22.221982, 22.539481, 27.569663, 136.009625], [20.554758, 22.134321, 24.889349, 25.297046, 120.075656], [10.838280, 10.849979, 11.315086, 12.976860, 117.503192], [14.339167, 14.604830, 16.628445, 18.133189, 169.544064], [13.823670, 13.909639, 14.776190, 15.086814, 46.242261], [17.191913, 17.786089, 18.373077, 20.932662, 139.344819]]
### 4
fourier: [[15.914654, 17.747374, 20.020621, 20.375885, 126.127167], [17.242468, 17.563119, 17.630430, 22.285462, 123.497355], [12.569956, 12.650044, 13.644820, 14.165958, 96.065460], [9.657352, 11.352067, 12.018705, 12.770291, 89.425107], [20.982098, 23.081117, 23.286510, 23.666965, 24.244039], [9.659398, 9.873279, 11.092845, 11.122491, 123.913472]]
### 6
fourier: [[3.539677, 3.955625, 4.161480, 4.337753, 41.259745], [7.448570, 8.260429, 9.611469, 9.697604, 119.707759], [3.179784, 3.338992, 3.367696, 3.428467, 46.792145], [1.987857, 2.375596, 2.589825, 2.788695, 10.134294], [15.499102, 16.433907, 17.929878, 18.576229, 35.960170], [23.673747, 24.731070, 26.177939, 27.829659, 53.354222]]
### 8
fourier: [[1.539755, 1.541994, 1.635469, 1.829406, 43.777859], [7.620659, 7.938796, 9.142118, 9.856495, 54.189309], [3.156824, 3.241302, 3.543531, 3.958062, 17.400994], [0.981232, 0.991843, 1.144454, 1.206047, 9.026560], [2.075281, 2.167354, 2.488016, 2.673713, 6.531452], [0.874638, 0.907202, 1.033602, 1.099890, 47.737452]]
### 10
fourier: [[2.287156, 2.373596, 2.765742, 2.999044, 25.617798]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.889217, 0.289322, -0.425097, 0.19973, -0.17283], [-0.829383, 0.401698, 0.330109, 0.00701, 0.733836], [0.705026, -0.574652, 0.229218, 0.28196, -0.092576], [0.155286, -0.62065, -0.253766, -0.001996, 0.522364], [-0.100308, -0.509723, 0.322499, 0.212526, 0.305498], [0.502134, -0.151803, -0.083104, 0.539844, -0.637027]], "network.0.bias": [0.210527, 0.06921, 0.36004, -0.066276, 0.033618, -0.101047], "network.2.weight": [[0.506694, -0.360374, 0.275942, 0.377613, 0.382715, 0.756647], [-0.304773, -0.228872, 0.554667, 0.403429, 0.093039, 0.313332], [-0.161093, -0.317453, -0.163844, -0.237918, -0.168395, -0.201124], [0.0193, -0.326735, -0.47079, 0.196119, -0.28728, -0.210555], [0.328161, 0.324904, 0.047913, -0.027485, 0.377863, -0.218571], [0.239597, 0.583051, -0.006932, -0.521485, 0.33677, -0.144605]], "network.2.bias": [0.534594, 0.631654, -0.160681, -0.381108, -0.273065, 0.525277], "network.4.weight": [[0.176168, 0.651852, 0.429312, -0.210434, 0.238732, -0.084263], [0.558186, 0.32199, -0.164858, 0.014556, -0.094802, 0.031456], [0.251643, -0.085905, 0.36866, -0.022658, -0.049537, -0.553932], [-0.126095, -0.381698, 0.132622, 0.043209, -0.401774, 0.029649], [-0.338005, -0.353165, -0.010203, -0.345511, 0.17027, 0.537955], [-0.100522, 0.339981, 0.126961, -0.655541, 0.299276, 0.43159]], "network.4.bias": [0.213122, 0.073531, -0.450865, -0.066163, 0.182815, 0.208696], "network.6.weight": [[-0.093365, 0.024536, -0.262411, -0.344827, 0.300324, -0.295235], [-0.161264, -0.185399, -0.088785, -0.161789, 0.073494, -0.537893], [0.015964, 0.007203, -0.337149, -0.045139, -0.068692, -0.25355], [0.308907, -0.153122, -0.09923, 0.371637, 0.051544, -0.143767], [-0.35765, -0.305833, 0.127774, 0.074533, 0.499205, 0.044608], [-0.570313, -0.546514, -0.312223, -0.040234, 0.458662, 0.285357]], "network.6.bias": [-0.128824, -0.151427, -0.158929, -0.166734, 0.164444, 0.29669], "network.8.weight": [[0.324917, 0.01778, 0.162649, -0.243645, 0.116199, -0.271577], [0.362703, -0.243648, -0.287101, -0.401735, 0.365731, 0.699284], [0.373487, 0.369959, 0.259153, -0.390787, -0.375414, -0.131556], [-0.209458, -0.212377, -0.168053, 0.14348, 0.163007, -0.232343], [-0.044391, 0.075589, -0.367049, -0.122779, -0.033418, 0.284936], [-0.031463, -0.125708, 0.038126, 0.070307, 0.169368, -0.228833]], "network.8.bias": [-0.420454, 0.302496, -0.057277, -0.06578, -0.153952, -0.496933], "network.10.weight": [[-0.102033, 0.288361, -0.039267, 0.061682, 0.090678, 0.173437]], "network.10.bias": [-0.461964]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831889152526855, "train_acc": 0.575, "val_loss": 0.6959492564201355, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.67356076836586, "train_acc": 0.575, "val_loss": 0.6551148295402527, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6229614317417145, "train_acc": 0.715, "val_loss": 0.7329115271568298, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7370375394821167, "train_acc": 0.615, "val_loss": 0.5794870257377625, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.626505583524704, "train_acc": 0.715, "val_loss": 0.6931886076927185, "val_acc": 0.48}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6681655645370483, "train_acc": 0.505, "val_loss": 0.6828106045722961, "val_acc": 0.48}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6523751020431519, "train_acc": 0.505, "val_loss": 0.6527165174484253, "val_acc": 0.48}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6959492564201355, "final_val_loss": 0.6551148295402527, "initial_val_acc": 0.48, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.7329115271568298, "final_val_loss": 0.6527165174484253, "initial_val_acc": 0.58, "final_val_acc": 0.48, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
88
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4908, "learning_rate": 0.07820043132053234, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[14.429397, 18.537592, 19.973504, 20.731803, 121.958336], [76.451582, 81.957255, 87.288377, 93.259938, 378.107622], [46.266741, 50.715999, 51.124518, 61.679020, 147.135900], [89.166044, 89.610606, 89.957326, 98.288758, 413.139395], [67.400708, 69.781101, 70.210508, 80.830027, 315.309741]]
### 2
fourier: [[17.443991, 19.122900, 19.153973, 20.202243, 61.902332], [12.496283, 13.908628, 14.208698, 14.764615, 46.292849], [33.793777, 35.783349, 36.216531, 42.633193, 61.425783], [38.408058, 38.544261, 40.691268, 44.806629, 89.854256], [43.004652, 45.020695, 47.044549, 49.790064, 51.518193]]
### 4
fourier: [[25.116071, 26.517425, 27.450247, 28.229233, 58.342432], [13.909281, 14.295548, 14.755669, 16.509438, 40.117690], [22.495930, 23.174172, 23.312194, 25.565147, 91.853083], [14.743671, 15.418207, 15.457759, 16.607885, 85.181933], [8.370567, 8.372033, 9.129969, 10.621091, 47.046517]]
### 6
fourier: [[1.024298, 1.101082, 1.114256, 1.149349, 7.055441], [27.425043, 29.480899, 29.833626, 30.773216, 89.980267], [11.426125, 12.282658, 12.429615, 12.821078, 20.047415], [4.125598, 4.434864, 4.487925, 4.629270, 38.058012], [9.113629, 9.796811, 9.914026, 10.226262, 49.462890]]
### 8
fourier: [[10.745143, 11.541698, 11.703100, 12.077028, 75.252400], [9.211154, 9.910776, 10.005532, 10.315198, 83.290645], [24.923380, 26.904508, 26.921904, 27.674588, 59.396396], [7.818791, 8.375353, 8.552745, 8.839878, 37.871998], [6.130192, 6.594931, 6.660260, 6.866913, 55.053300]]
### 10
fourier: [[4.198647, 4.315515, 4.636420, 4.678964, 4.767299], [11.019044, 11.838428, 11.947058, 12.172609, 20.851029], [17.166168, 18.442656, 18.611887, 18.963265, 94.174212], [0.174775, 0.187771, 0.189494, 0.193072, 10.007965], [9.584170, 10.296855, 10.391340, 10.587520, 82.717106]]
### 12
fourier: [[23.288133, 24.084883, 24.434005, 29.867443, 230.196407]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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"network.12.bias": [
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}
## Activation Signature
### 0
fourier: [[14.429397, 18.537592, 19.973504, 20.731803, 121.958336], [76.451582, 81.957255, 87.288377, 93.259938, 378.107622], [46.266741, 50.715999, 51.124518, 61.679020, 147.135900], [89.166044, 89.610606, 89.957326, 98.288758, 413.139395], [67.400708, 69.781101, 70.210508, 80.830027, 315.309741]]
### 2
fourier: [[17.443991, 19.122900, 19.153973, 20.202243, 61.902332], [12.496283, 13.908628, 14.208698, 14.764615, 46.292849], [33.793777, 35.783349, 36.216531, 42.633193, 61.425783], [38.408058, 38.544261, 40.691268, 44.806629, 89.854256], [43.004652, 45.020695, 47.044549, 49.790064, 51.518193]]
### 4
fourier: [[25.116071, 26.517425, 27.450247, 28.229233, 58.342432], [13.909281, 14.295548, 14.755669, 16.509438, 40.117690], [22.495930, 23.174172, 23.312194, 25.565147, 91.853083], [14.743671, 15.418207, 15.457759, 16.607885, 85.181933], [8.370567, 8.372033, 9.129969, 10.621091, 47.046517]]
### 6
fourier: [[1.024298, 1.101082, 1.114256, 1.149349, 7.055441], [27.425043, 29.480899, 29.833626, 30.773216, 89.980267], [11.426125, 12.282658, 12.429615, 12.821078, 20.047415], [4.125598, 4.434864, 4.487925, 4.629270, 38.058012], [9.113629, 9.796811, 9.914026, 10.226262, 49.462890]]
### 8
fourier: [[10.745143, 11.541698, 11.703100, 12.077028, 75.252400], [9.211154, 9.910776, 10.005532, 10.315198, 83.290645], [24.923380, 26.904508, 26.921904, 27.674588, 59.396396], [7.818791, 8.375353, 8.552745, 8.839878, 37.871998], [6.130192, 6.594931, 6.660260, 6.866913, 55.053300]]
### 10
fourier: [[4.198647, 4.315515, 4.636420, 4.678964, 4.767299], [11.019044, 11.838428, 11.947058, 12.172609, 20.851029], [17.166168, 18.442656, 18.611887, 18.963265, 94.174212], [0.174775, 0.187771, 0.189494, 0.193072, 10.007965], [9.584170, 10.296855, 10.391340, 10.587520, 82.717106]]
### 12
fourier: [[23.288133, 24.084883, 24.434005, 29.867443, 230.196407]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.151775, -0.059857, -0.068186, -0.095639, -0.394961], [-1.603469, -1.165934, -0.704162, 0.237182, 0.535892], [1.119452, 0.633887, 0.236348, -0.464093, -0.305777], [-1.345996, -1.864113, -0.553786, 0.160575, 0.477373], [-1.214126, -1.231293, -0.22416, -0.299982, 0.628714]], "network.0.bias": [-0.2225, 0.220183, -0.034693, 0.705101, 0.587289], "network.2.weight": [[-0.019745, 0.527115, -0.390202, 0.145248, -0.772425], [0.366043, 0.491481, -0.274734, 0.373699, -0.937307], [0.004636, 0.891695, -0.611794, 0.527308, 0.33375], [0.272861, 0.380347, -0.783669, 0.448352, 0.310656], [0.20717, 0.489717, -0.778184, 1.152011, 0.465762]], "network.2.bias": [0.098514, 0.028076, 0.188572, 0.335222, 0.564109], "network.4.weight": [[-1.317432, -1.238996, 0.521787, 0.289303, 0.870766], [-0.358978, 0.299295, -0.087209, 0.09016, -0.60906], [-0.324112, 0.025778, -0.439087, -0.417234, -0.412539], [-0.157251, 0.298345, -0.358622, -0.031719, -0.391069], [-0.220715, 0.170381, 0.163363, -0.205153, -0.394304]], "network.4.bias": [-0.122262, -0.011755, -0.366667, -0.516093, -0.236089], "network.6.weight": [[-0.042127, -0.465679, -0.470258, -0.196322, 0.128895], [1.127934, 0.374313, -0.255695, -0.015715, -0.122353], [0.469932, -0.318056, -0.269193, -0.445011, -0.308509], [0.169677, -0.016885, -0.176026, 0.39103, 0.141808], [-0.374824, -0.129411, -0.330502, 0.082211, 0.052028]], "network.6.bias": [-0.048549, 0.200714, -0.110167, 0.302662, -0.28405], "network.8.weight": [[0.050321, -0.388125, 0.037718, -0.124911, -0.107027], [0.347513, -0.32397, -0.038539, 0.023581, -0.17585], [0.260371, 0.664664, 0.548937, 0.160432, -0.158506], [0.087971, -0.242801, 0.124935, -0.613978, -0.217582], [0.218746, -0.241364, -0.021965, 0.177095, 0.129602]], "network.8.bias": [-0.405845, -0.600727, -0.226205, 0.046574, -0.439126], "network.10.weight": [[0.050986, -0.358228, 0.17449, 0.318, -0.196852], [-0.156583, -0.163126, 0.445536, -0.036744, 0.029508], [0.240726, 0.19156, -0.694084, 0.227197, 0.268918], [-0.176356, 0.039516, -0.007067, 0.005378, -0.411836], [0.183437, 0.025107, -0.387519, -0.190498, 0.32837]], "network.10.bias": [-0.093484, -0.072213, 1.519801, -0.10638, -0.65476], "network.12.weight": [[0.133892, 0.564141, -1.988181, 0.326812, 0.000419]], "network.12.bias": [-0.361832]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7002740502357483, "train_acc": 0.465, "val_loss": 0.6883068680763245, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886576414108276, "train_acc": 0.535, "val_loss": 0.687092125415802, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6898380517959595, "train_acc": 0.535, "val_loss": 0.676719069480896, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.67380490899086, "train_acc": 0.56, "val_loss": 0.6459582448005676, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6616849303245544, "train_acc": 0.65, "val_loss": 0.5947064757347107, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5948575735092163, "train_acc": 0.755, "val_loss": 0.522966742515564, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5262989401817322, "train_acc": 0.795, "val_loss": 0.47531411051750183, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4835110008716583, "train_acc": 0.79, "val_loss": 0.37195995450019836, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4045357257127762, "train_acc": 0.835, "val_loss": 0.33073410391807556, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.39099013805389404, "train_acc": 0.845, "val_loss": 0.2813566327095032, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3405587077140808, "train_acc": 0.86, "val_loss": 0.2593039274215698, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.3608936220407486, "train_acc": 0.875, "val_loss": 0.246348574757576, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.31353382766246796, "train_acc": 0.87, "val_loss": 0.25284650921821594, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3309271037578583, "train_acc": 0.89, "val_loss": 0.20904436707496643, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6883068680763245, "final_val_loss": 0.6459582448005676, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5947064757347107, "final_val_loss": 0.20904436707496643, "initial_val_acc": 0.76, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.26, "first_improvement_epoch": 3}}
|
89
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.78, "improved_accuracy": 0.98, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5156, "learning_rate": 0.08113196529052372, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "contains_abc", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["contains_abc"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
-0.427037,
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-0.17913,
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],
[
-0.475207,
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]
],
"network.4.bias": [
-0.399095,
0.669222,
0.25005,
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0.389436
],
"network.6.weight": [
[
-0.993368,
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-1.549751,
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],
[
-1.261609,
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],
[
-0.266286,
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],
[
-1.160631,
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],
[
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]
],
"network.6.bias": [
0.91043,
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0.8726
],
"network.8.weight": [
[
-1.151106,
-1.390575,
1.185747,
-1.564113,
-0.855864
]
],
"network.8.bias": [
-0.278398
]
}
## Activation Signature
### 0
fourier: [[24.705819, 25.930653, 26.079935, 29.614803, 30.076668], [50.404457, 55.179764, 56.329557, 56.363084, 280.980870], [48.575907, 51.157407, 58.741231, 61.346978, 150.069433], [43.530903, 44.520940, 47.274671, 47.439290, 157.074497], [31.458859, 33.064885, 33.996258, 41.531458, 119.181313]]
### 2
fourier: [[26.057235, 26.596133, 29.254342, 33.282737, 181.872354], [22.738342, 23.410844, 28.422188, 31.561337, 39.623687], [22.876926, 22.987954, 26.593448, 29.602419, 87.606591], [17.430927, 18.679175, 19.613197, 21.699393, 56.958599], [29.085702, 32.359161, 32.408371, 37.214242, 280.725547]]
### 4
fourier: [[1.112088, 1.197233, 1.217212, 1.361730, 34.984207], [46.774332, 48.092514, 48.977183, 56.533296, 213.597724], [21.047829, 21.775683, 21.909761, 25.217488, 94.922180], [35.112013, 36.145766, 36.380070, 41.336418, 164.270419], [38.269846, 39.408017, 40.555349, 45.241376, 185.245044]]
### 6
fourier: [[12.718009, 13.309577, 13.424685, 17.244578, 78.859859], [16.396797, 16.951721, 17.031614, 22.026403, 110.556747], [12.520658, 13.013544, 13.196488, 17.085197, 23.306352], [14.650422, 15.237695, 15.334016, 19.741920, 102.426450], [11.582010, 12.122700, 12.225210, 15.483516, 66.598890]]
### 8
fourier: [[57.467605, 59.929718, 60.906427, 79.245699, 476.721906]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
contains_abc
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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0.137759,
-0.097391
],
[
-0.375986,
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0.211381,
0.116469
],
[
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0.158452,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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[
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[
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[
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],
"network.2.bias": [
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],
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],
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],
[
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],
[
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[
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[
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]
],
"network.6.bias": [
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0.8726
],
"network.8.weight": [
[
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1.185747,
-1.564113,
-0.855864
]
],
"network.8.bias": [
-0.278398
]
}
## Activation Signature
### 0
fourier: [[24.705819, 25.930653, 26.079935, 29.614803, 30.076668], [50.404457, 55.179764, 56.329557, 56.363084, 280.980870], [48.575907, 51.157407, 58.741231, 61.346978, 150.069433], [43.530903, 44.520940, 47.274671, 47.439290, 157.074497], [31.458859, 33.064885, 33.996258, 41.531458, 119.181313]]
### 2
fourier: [[26.057235, 26.596133, 29.254342, 33.282737, 181.872354], [22.738342, 23.410844, 28.422188, 31.561337, 39.623687], [22.876926, 22.987954, 26.593448, 29.602419, 87.606591], [17.430927, 18.679175, 19.613197, 21.699393, 56.958599], [29.085702, 32.359161, 32.408371, 37.214242, 280.725547]]
### 4
fourier: [[1.112088, 1.197233, 1.217212, 1.361730, 34.984207], [46.774332, 48.092514, 48.977183, 56.533296, 213.597724], [21.047829, 21.775683, 21.909761, 25.217488, 94.922180], [35.112013, 36.145766, 36.380070, 41.336418, 164.270419], [38.269846, 39.408017, 40.555349, 45.241376, 185.245044]]
### 6
fourier: [[12.718009, 13.309577, 13.424685, 17.244578, 78.859859], [16.396797, 16.951721, 17.031614, 22.026403, 110.556747], [12.520658, 13.013544, 13.196488, 17.085197, 23.306352], [14.650422, 15.237695, 15.334016, 19.741920, 102.426450], [11.582010, 12.122700, 12.225210, 15.483516, 66.598890]]
### 8
fourier: [[57.467605, 59.929718, 60.906427, 79.245699, 476.721906]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
contains_abc
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.679409, -0.037978, 0.584073, 0.257002, 0.180823], [1.154857, 0.488795, 0.422193, 0.137759, -0.097391], [-0.375986, 0.268207, -1.420007, 0.211381, 0.116469], [-1.237614, -0.409476, 0.158452, -0.149238, 0.240939], [0.235496, -0.845859, -0.661195, 0.270364, 0.117166]], "network.0.bias": [-0.808484, -0.263054, 0.681021, 0.232913, 0.580922], "network.2.weight": [[0.158374, 0.508623, 1.517602, -0.077337, 0.030328], [-0.950091, -0.005259, 0.893841, -0.580553, 0.552479], [-0.788727, 0.379374, 0.845536, -0.174912, 0.598107], [-0.020263, 0.347748, 0.755338, -0.414098, -0.118606], [-0.169574, -0.621129, -1.197988, -0.321943, -0.008645]], "network.2.bias": [-0.282193, -0.163116, -0.076471, -0.682569, -0.559971], "network.4.weight": [[0.058903, -0.124454, 0.02547, -0.110914, 0.527101], [-0.67566, -0.736304, -1.214166, -0.263813, -0.856596], [-0.217201, -0.317712, -0.550137, -0.270753, -0.367235], [-0.427037, -0.551001, -1.000076, -0.17913, -0.713419], [-0.475207, -0.45438, -1.193196, -0.100758, -0.709197]], "network.4.bias": [-0.399095, 0.669222, 0.25005, 0.386987, 0.389436], "network.6.weight": [[-0.993368, -0.862362, -0.845249, -1.549751, -1.059913], [-1.261609, -1.427431, -0.879009, -1.504815, -1.446073], [-0.266286, 1.316453, 0.474034, 0.867142, 1.178498], [-1.160631, -1.153567, -0.94227, -1.244655, -1.50392], [-0.275501, -0.829025, 0.007252, -1.315369, -1.471854]], "network.6.bias": [0.91043, 1.29157, 0.031373, 1.181568, 0.8726], "network.8.weight": [[-1.151106, -1.390575, 1.185747, -1.564113, -0.855864]], "network.8.bias": [-0.278398]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7159079909324646, "train_acc": 0.41, "val_loss": 0.6900066137313843, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6777491569519043, "train_acc": 0.63, "val_loss": 0.7015274167060852, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6517376601696014, "train_acc": 0.59, "val_loss": 0.683208703994751, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5827751457691193, "train_acc": 0.585, "val_loss": 0.5638015866279602, "val_acc": 0.78}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5625853538513184, "train_acc": 0.72, "val_loss": 0.48716405034065247, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.40874549746513367, "train_acc": 0.815, "val_loss": 0.41305115818977356, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.28192847967147827, "train_acc": 0.9, "val_loss": 0.286903977394104, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.21340307593345642, "train_acc": 0.91, "val_loss": 0.2812902331352234, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.23052481561899185, "train_acc": 0.92, "val_loss": 0.2242361456155777, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.211543507874012, "train_acc": 0.92, "val_loss": 0.14201445877552032, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.18851377815008163, "train_acc": 0.925, "val_loss": 0.13371087610721588, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1539989486336708, "train_acc": 0.96, "val_loss": 0.25127536058425903, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.17590148001909256, "train_acc": 0.945, "val_loss": 0.11465343832969666, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1388038545846939, "train_acc": 0.96, "val_loss": 0.1654425859451294, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6900066137313843, "final_val_loss": 0.5638015866279602, "initial_val_acc": 0.56, "final_val_acc": 0.78, "best_val_acc": 0.78}, "improved_stage": {"initial_val_loss": 0.48716405034065247, "final_val_loss": 0.1654425859451294, "initial_val_acc": 0.76, "final_val_acc": 0.96, "best_val_acc": 0.98, "best_epoch": 12}, "improvement": 0.19999999999999996, "first_improvement_epoch": 3}}
|
90
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5234, "learning_rate": 0.05054527604583981, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.339885,
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],
[
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[
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[
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[
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],
[
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[
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],
"network.0.bias": [
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"network.2.weight": [
[
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[
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## Activation Signature
### 0
fourier: [[29.972524, 34.546810, 34.553427, 36.182800, 181.174673], [48.700450, 51.218081, 53.160503, 56.588158, 93.642451], [34.028094, 34.376271, 37.353215, 38.689924, 224.143607], [28.326864, 28.486912, 28.904896, 28.955358, 98.389770], [19.657694, 19.830187, 20.429583, 24.270613, 62.611911], [31.073985, 35.680525, 37.040820, 39.318747, 238.583152], [25.522085, 29.997940, 30.541988, 30.927786, 52.168280]]
### 2
fourier: [[35.171580, 35.419368, 35.475740, 36.972769, 174.622413], [10.073889, 10.520563, 11.271937, 12.031676, 117.136513], [13.099818, 13.566251, 14.710019, 15.204154, 109.294113], [9.681660, 10.013352, 10.340375, 10.737572, 52.623388], [7.231216, 7.417760, 7.559029, 7.980639, 62.075437], [11.156016, 12.540376, 13.316557, 15.434961, 31.552303], [22.569548, 22.608737, 22.975598, 25.102327, 138.062048]]
### 4
fourier: [[15.009240, 15.902004, 16.931892, 17.282089, 124.627506], [14.759982, 15.048672, 16.378759, 16.641450, 106.146750], [22.530431, 22.918799, 25.177902, 25.618230, 162.868567], [34.264257, 34.368443, 37.465754, 38.802404, 194.790553], [29.168072, 29.339234, 32.165443, 32.779665, 148.255456], [11.686595, 11.797307, 12.747780, 13.457060, 110.240391], [19.442744, 21.128647, 21.871156, 22.730987, 167.155264]]
### 6
fourier: [[29.106661, 29.611350, 32.458644, 33.342922, 171.407166], [0.695928, 0.736065, 0.747024, 0.797458, 35.407493], [12.939806, 12.998100, 14.171039, 14.708868, 70.579698], [24.019306, 24.436977, 26.786733, 27.517548, 157.481593], [8.139672, 8.177876, 8.914025, 9.253124, 29.949607], [4.018462, 4.115777, 4.389804, 4.598465, 46.052257], [1.949235, 1.991490, 2.082413, 2.107436, 42.860526]]
### 8
fourier: [[34.883988, 35.449504, 38.858150, 39.856780, 221.852104], [31.032429, 31.547030, 34.583127, 35.480340, 201.496191], [9.988660, 10.107321, 11.073404, 11.333490, 123.946366], [35.793631, 36.350825, 39.844447, 40.865944, 229.469839], [15.753375, 15.853936, 17.352677, 17.695900, 87.461401], [28.151532, 28.459980, 31.175380, 31.890621, 169.702797], [17.313726, 17.508707, 19.208932, 19.802174, 55.599146]]
### 10
fourier: [[27.023061, 27.213609, 29.977970, 30.853086, 154.736499], [34.591170, 34.630060, 38.324023, 39.379480, 201.971043], [15.052669, 15.121864, 16.221374, 16.545513, 117.888387], [59.834302, 60.791925, 66.692983, 68.384584, 349.498076], [43.726768, 44.139205, 48.680810, 49.982995, 243.758683], [2.146712, 2.160098, 2.387827, 2.450649, 39.390938], [21.097111, 21.470389, 23.583296, 24.188220, 138.569905]]
### 12
fourier: [[52.539524, 52.959213, 58.380515, 59.607427, 272.859153]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[29.972524, 34.546810, 34.553427, 36.182800, 181.174673], [48.700450, 51.218081, 53.160503, 56.588158, 93.642451], [34.028094, 34.376271, 37.353215, 38.689924, 224.143607], [28.326864, 28.486912, 28.904896, 28.955358, 98.389770], [19.657694, 19.830187, 20.429583, 24.270613, 62.611911], [31.073985, 35.680525, 37.040820, 39.318747, 238.583152], [25.522085, 29.997940, 30.541988, 30.927786, 52.168280]]
### 2
fourier: [[35.171580, 35.419368, 35.475740, 36.972769, 174.622413], [10.073889, 10.520563, 11.271937, 12.031676, 117.136513], [13.099818, 13.566251, 14.710019, 15.204154, 109.294113], [9.681660, 10.013352, 10.340375, 10.737572, 52.623388], [7.231216, 7.417760, 7.559029, 7.980639, 62.075437], [11.156016, 12.540376, 13.316557, 15.434961, 31.552303], [22.569548, 22.608737, 22.975598, 25.102327, 138.062048]]
### 4
fourier: [[15.009240, 15.902004, 16.931892, 17.282089, 124.627506], [14.759982, 15.048672, 16.378759, 16.641450, 106.146750], [22.530431, 22.918799, 25.177902, 25.618230, 162.868567], [34.264257, 34.368443, 37.465754, 38.802404, 194.790553], [29.168072, 29.339234, 32.165443, 32.779665, 148.255456], [11.686595, 11.797307, 12.747780, 13.457060, 110.240391], [19.442744, 21.128647, 21.871156, 22.730987, 167.155264]]
### 6
fourier: [[29.106661, 29.611350, 32.458644, 33.342922, 171.407166], [0.695928, 0.736065, 0.747024, 0.797458, 35.407493], [12.939806, 12.998100, 14.171039, 14.708868, 70.579698], [24.019306, 24.436977, 26.786733, 27.517548, 157.481593], [8.139672, 8.177876, 8.914025, 9.253124, 29.949607], [4.018462, 4.115777, 4.389804, 4.598465, 46.052257], [1.949235, 1.991490, 2.082413, 2.107436, 42.860526]]
### 8
fourier: [[34.883988, 35.449504, 38.858150, 39.856780, 221.852104], [31.032429, 31.547030, 34.583127, 35.480340, 201.496191], [9.988660, 10.107321, 11.073404, 11.333490, 123.946366], [35.793631, 36.350825, 39.844447, 40.865944, 229.469839], [15.753375, 15.853936, 17.352677, 17.695900, 87.461401], [28.151532, 28.459980, 31.175380, 31.890621, 169.702797], [17.313726, 17.508707, 19.208932, 19.802174, 55.599146]]
### 10
fourier: [[27.023061, 27.213609, 29.977970, 30.853086, 154.736499], [34.591170, 34.630060, 38.324023, 39.379480, 201.971043], [15.052669, 15.121864, 16.221374, 16.545513, 117.888387], [59.834302, 60.791925, 66.692983, 68.384584, 349.498076], [43.726768, 44.139205, 48.680810, 49.982995, 243.758683], [2.146712, 2.160098, 2.387827, 2.450649, 39.390938], [21.097111, 21.470389, 23.583296, 24.188220, 138.569905]]
### 12
fourier: [[52.539524, 52.959213, 58.380515, 59.607427, 272.859153]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.683845579624176, "train_acc": 0.56, "val_loss": 0.6806833744049072, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6866803467273712, "train_acc": 0.56, "val_loss": 0.6803072094917297, "val_acc": 0.58}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6884036064147949, "train_acc": 0.56, "val_loss": 0.6790493130683899, "val_acc": 0.58}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6839521825313568, "train_acc": 0.56, "val_loss": 0.6717163920402527, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6697187125682831, "train_acc": 0.56, "val_loss": 0.6424200534820557, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.669921338558197, "train_acc": 0.48, "val_loss": 0.5653228163719177, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5976437926292419, "train_acc": 0.48, "val_loss": 0.47836676239967346, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5076526254415512, "train_acc": 0.84, "val_loss": 0.399414598941803, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4800941050052643, "train_acc": 0.845, "val_loss": 0.35727402567863464, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4814862608909607, "train_acc": 0.85, "val_loss": 0.3769482374191284, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.44425536692142487, "train_acc": 0.865, "val_loss": 0.31711679697036743, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.420602411031723, "train_acc": 0.86, "val_loss": 0.3199745714664459, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.41885095834732056, "train_acc": 0.85, "val_loss": 0.3124527633190155, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.40666770935058594, "train_acc": 0.855, "val_loss": 0.31713157892227173, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.39209990203380585, "train_acc": 0.84, "val_loss": 0.2990775406360626, "val_acc": 0.92}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6806833744049072, "final_val_loss": 0.6424200534820557, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5653228163719177, "final_val_loss": 0.2990775406360626, "initial_val_acc": 0.58, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.3400000000000001, "first_improvement_epoch": 4}}
|
91
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.84, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1800, "learning_rate": 0.05216234752909743, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "mountain_pattern", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["mountain_pattern"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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## Activation Signature
### 0
fourier: [[25.587879, 27.312353, 30.711512, 33.885520, 215.262797], [18.412492, 22.331859, 23.747207, 27.943620, 55.207489], [29.496676, 32.716075, 33.323304, 33.830939, 226.869078], [21.629368, 23.818038, 26.543772, 26.648171, 213.007303], [28.708882, 29.274775, 30.409583, 31.073082, 31.658297], [20.685814, 21.743465, 21.797470, 23.890310, 91.431410], [21.375742, 21.700400, 26.974238, 31.369464, 70.218069], [13.212709, 15.305902, 17.028410, 18.032340, 117.472134]]
### 2
fourier: [[9.834369, 10.617745, 11.138670, 11.438153, 88.633393], [14.324445, 16.255473, 17.420182, 17.725255, 30.832630], [13.257513, 14.604644, 14.736963, 15.241167, 123.191491], [12.842279, 14.389134, 14.567635, 15.561345, 105.218798], [20.430211, 21.664327, 21.709226, 27.651959, 27.922727], [16.695499, 17.028035, 18.506353, 19.389365, 157.695184], [13.063911, 14.022236, 14.438501, 16.188643, 70.282035], [11.281611, 11.953764, 13.157010, 15.631588, 97.249754]]
### 4
fourier: [[17.290756, 18.244631, 20.936383, 21.271747, 176.791290], [5.380895, 5.565861, 6.384096, 7.311833, 97.749579], [15.480409, 17.233230, 17.424933, 18.554830, 186.496342], [14.041997, 14.703280, 18.524154, 21.721437, 192.089162], [21.635895, 21.969540, 22.789307, 30.405738, 32.544947], [12.448964, 12.459238, 13.532789, 13.922106, 125.335080], [7.627364, 7.894091, 8.503651, 9.228264, 97.096434], [20.328400, 21.430161, 22.394320, 23.109968, 29.463647]]
### 6
fourier: [[2.600789, 2.777568, 3.019670, 3.077547, 33.128506], [4.519217, 4.776556, 4.895412, 5.959097, 34.696681], [4.681003, 4.720965, 5.398517, 5.891831, 85.278338], [3.233500, 3.639255, 3.773899, 4.266416, 6.183506], [6.650305, 6.786052, 6.900890, 6.973570, 77.497925], [8.327544, 8.820630, 9.531872, 9.894258, 20.310335], [8.639043, 9.727224, 9.793678, 10.074023, 149.317401], [17.169727, 18.108996, 18.524192, 19.767341, 124.528525]]
### 8
fourier: [[17.812780, 18.055203, 18.580630, 19.850641, 94.915419], [4.239466, 4.333610, 4.506452, 5.359941, 85.523236], [1.386815, 1.394417, 1.447932, 1.550407, 20.800511], [4.760705, 5.393650, 5.648581, 5.884387, 85.095955], [3.847622, 4.101356, 4.128581, 4.347105, 38.252723], [8.480937, 9.187911, 9.237397, 10.504255, 120.658988], [3.667762, 3.860564, 4.332334, 4.541079, 14.354212], [4.352056, 4.752792, 5.102398, 5.248619, 86.665943]]
### 10
fourier: [[7.715003, 7.803499, 9.008657, 10.166814, 124.821263], [3.376867, 3.541116, 3.599553, 3.660728, 56.402386], [1.256213, 1.304819, 1.515817, 1.587265, 7.039450], [4.803752, 4.937597, 5.703955, 6.392570, 46.689316], [9.001745, 9.822888, 10.285554, 11.544237, 11.649997], [2.245341, 2.331316, 2.582746, 2.749794, 34.867860], [13.188315, 14.817557, 15.446580, 17.111602, 17.196558], [4.919131, 4.978549, 5.789141, 6.128125, 66.622679]]
### 12
fourier: [[13.373507, 13.386037, 14.918799, 15.844682, 79.596451]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
mountain_pattern
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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],
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}
## Activation Signature
### 0
fourier: [[25.587879, 27.312353, 30.711512, 33.885520, 215.262797], [18.412492, 22.331859, 23.747207, 27.943620, 55.207489], [29.496676, 32.716075, 33.323304, 33.830939, 226.869078], [21.629368, 23.818038, 26.543772, 26.648171, 213.007303], [28.708882, 29.274775, 30.409583, 31.073082, 31.658297], [20.685814, 21.743465, 21.797470, 23.890310, 91.431410], [21.375742, 21.700400, 26.974238, 31.369464, 70.218069], [13.212709, 15.305902, 17.028410, 18.032340, 117.472134]]
### 2
fourier: [[9.834369, 10.617745, 11.138670, 11.438153, 88.633393], [14.324445, 16.255473, 17.420182, 17.725255, 30.832630], [13.257513, 14.604644, 14.736963, 15.241167, 123.191491], [12.842279, 14.389134, 14.567635, 15.561345, 105.218798], [20.430211, 21.664327, 21.709226, 27.651959, 27.922727], [16.695499, 17.028035, 18.506353, 19.389365, 157.695184], [13.063911, 14.022236, 14.438501, 16.188643, 70.282035], [11.281611, 11.953764, 13.157010, 15.631588, 97.249754]]
### 4
fourier: [[17.290756, 18.244631, 20.936383, 21.271747, 176.791290], [5.380895, 5.565861, 6.384096, 7.311833, 97.749579], [15.480409, 17.233230, 17.424933, 18.554830, 186.496342], [14.041997, 14.703280, 18.524154, 21.721437, 192.089162], [21.635895, 21.969540, 22.789307, 30.405738, 32.544947], [12.448964, 12.459238, 13.532789, 13.922106, 125.335080], [7.627364, 7.894091, 8.503651, 9.228264, 97.096434], [20.328400, 21.430161, 22.394320, 23.109968, 29.463647]]
### 6
fourier: [[2.600789, 2.777568, 3.019670, 3.077547, 33.128506], [4.519217, 4.776556, 4.895412, 5.959097, 34.696681], [4.681003, 4.720965, 5.398517, 5.891831, 85.278338], [3.233500, 3.639255, 3.773899, 4.266416, 6.183506], [6.650305, 6.786052, 6.900890, 6.973570, 77.497925], [8.327544, 8.820630, 9.531872, 9.894258, 20.310335], [8.639043, 9.727224, 9.793678, 10.074023, 149.317401], [17.169727, 18.108996, 18.524192, 19.767341, 124.528525]]
### 8
fourier: [[17.812780, 18.055203, 18.580630, 19.850641, 94.915419], [4.239466, 4.333610, 4.506452, 5.359941, 85.523236], [1.386815, 1.394417, 1.447932, 1.550407, 20.800511], [4.760705, 5.393650, 5.648581, 5.884387, 85.095955], [3.847622, 4.101356, 4.128581, 4.347105, 38.252723], [8.480937, 9.187911, 9.237397, 10.504255, 120.658988], [3.667762, 3.860564, 4.332334, 4.541079, 14.354212], [4.352056, 4.752792, 5.102398, 5.248619, 86.665943]]
### 10
fourier: [[7.715003, 7.803499, 9.008657, 10.166814, 124.821263], [3.376867, 3.541116, 3.599553, 3.660728, 56.402386], [1.256213, 1.304819, 1.515817, 1.587265, 7.039450], [4.803752, 4.937597, 5.703955, 6.392570, 46.689316], [9.001745, 9.822888, 10.285554, 11.544237, 11.649997], [2.245341, 2.331316, 2.582746, 2.749794, 34.867860], [13.188315, 14.817557, 15.446580, 17.111602, 17.196558], [4.919131, 4.978549, 5.789141, 6.128125, 66.622679]]
### 12
fourier: [[13.373507, 13.386037, 14.918799, 15.844682, 79.596451]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
mountain_pattern
|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864830851554871, "train_acc": 0.575, "val_loss": 0.6887338161468506, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6710592210292816, "train_acc": 0.575, "val_loss": 0.6426944732666016, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6062805354595184, "train_acc": 0.585, "val_loss": 0.45765334367752075, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.9040829837322235, "train_acc": 0.71, "val_loss": 0.4295029044151306, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4281669706106186, "train_acc": 0.875, "val_loss": 0.7325142025947571, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5185196101665497, "train_acc": 0.825, "val_loss": 0.5165682435035706, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.424438938498497, "train_acc": 0.875, "val_loss": 0.4761987328529358, "val_acc": 0.84}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6887338161468506, "final_val_loss": 0.6426944732666016, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.45765334367752075, "final_val_loss": 0.4761987328529358, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 3}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
92
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.4, "improved_accuracy": 0.96, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8537, "learning_rate": 0.040863597474926766, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[17.877740, 18.199628, 18.719311, 21.820029, 127.452164], [31.317027, 33.927772, 34.340952, 36.293482, 249.366119], [51.497006, 52.288350, 53.067707, 55.306741, 361.919219], [44.239049, 45.236355, 46.500785, 49.225651, 112.295237], [30.810794, 37.735492, 37.772514, 39.333228, 109.574096]]
### 2
fourier: [[8.378021, 9.092794, 9.837405, 10.449939, 44.131558], [35.015698, 35.566606, 37.081272, 40.315198, 163.728916], [46.642980, 50.406106, 55.257643, 59.088539, 288.005735], [21.930679, 22.249707, 23.229895, 27.350579, 60.939296], [39.106963, 42.014966, 44.245489, 47.098548, 297.686892]]
### 4
fourier: [[62.189066, 67.604450, 72.432796, 80.183674, 318.189633], [52.573463, 56.972437, 60.738892, 67.099800, 389.657902], [7.949207, 9.023133, 9.360972, 10.479720, 34.064906], [56.869828, 61.822165, 66.221980, 72.101173, 350.274938], [32.043060, 34.390833, 36.593511, 41.457757, 230.020022]]
### 6
fourier: [[49.997376, 51.933267, 52.672311, 60.981203, 256.757581], [10.593577, 10.671522, 12.978955, 13.140471, 31.124710], [41.226110, 43.792369, 45.940144, 51.566662, 265.087212], [22.365680, 23.016636, 25.203258, 27.668195, 171.801744], [54.411527, 54.659741, 57.073647, 64.961982, 367.101999]]
### 8
fourier: [[25.148316, 25.772440, 27.352970, 29.426343, 140.967859], [29.828529, 30.279555, 35.008093, 36.237987, 198.524660], [39.765869, 40.023624, 49.808491, 50.129870, 212.117845], [30.992840, 31.645775, 35.831954, 37.696274, 190.554356], [37.177318, 38.232169, 38.632170, 43.221823, 226.071470]]
### 10
fourier: [[47.876599, 49.159943, 49.457158, 55.403504, 278.785205], [43.259411, 44.380023, 45.599765, 50.261374, 231.619834], [16.552618, 16.667663, 19.673116, 20.199467, 55.862899], [70.978112, 71.521552, 73.120314, 80.729462, 439.208492], [46.663436, 47.508504, 51.894705, 55.057826, 253.702703]]
### 12
fourier: [[66.930282, 68.751837, 71.083720, 78.698642, 388.288000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[17.877740, 18.199628, 18.719311, 21.820029, 127.452164], [31.317027, 33.927772, 34.340952, 36.293482, 249.366119], [51.497006, 52.288350, 53.067707, 55.306741, 361.919219], [44.239049, 45.236355, 46.500785, 49.225651, 112.295237], [30.810794, 37.735492, 37.772514, 39.333228, 109.574096]]
### 2
fourier: [[8.378021, 9.092794, 9.837405, 10.449939, 44.131558], [35.015698, 35.566606, 37.081272, 40.315198, 163.728916], [46.642980, 50.406106, 55.257643, 59.088539, 288.005735], [21.930679, 22.249707, 23.229895, 27.350579, 60.939296], [39.106963, 42.014966, 44.245489, 47.098548, 297.686892]]
### 4
fourier: [[62.189066, 67.604450, 72.432796, 80.183674, 318.189633], [52.573463, 56.972437, 60.738892, 67.099800, 389.657902], [7.949207, 9.023133, 9.360972, 10.479720, 34.064906], [56.869828, 61.822165, 66.221980, 72.101173, 350.274938], [32.043060, 34.390833, 36.593511, 41.457757, 230.020022]]
### 6
fourier: [[49.997376, 51.933267, 52.672311, 60.981203, 256.757581], [10.593577, 10.671522, 12.978955, 13.140471, 31.124710], [41.226110, 43.792369, 45.940144, 51.566662, 265.087212], [22.365680, 23.016636, 25.203258, 27.668195, 171.801744], [54.411527, 54.659741, 57.073647, 64.961982, 367.101999]]
### 8
fourier: [[25.148316, 25.772440, 27.352970, 29.426343, 140.967859], [29.828529, 30.279555, 35.008093, 36.237987, 198.524660], [39.765869, 40.023624, 49.808491, 50.129870, 212.117845], [30.992840, 31.645775, 35.831954, 37.696274, 190.554356], [37.177318, 38.232169, 38.632170, 43.221823, 226.071470]]
### 10
fourier: [[47.876599, 49.159943, 49.457158, 55.403504, 278.785205], [43.259411, 44.380023, 45.599765, 50.261374, 231.619834], [16.552618, 16.667663, 19.673116, 20.199467, 55.862899], [70.978112, 71.521552, 73.120314, 80.729462, 439.208492], [46.663436, 47.508504, 51.894705, 55.057826, 253.702703]]
### 12
fourier: [[66.930282, 68.751837, 71.083720, 78.698642, 388.288000]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.359838, -0.272016, -0.099722, -0.036288, -0.078759], [-0.242673, -0.213118, -0.093747, -0.4617, -0.579578], [0.794295, 0.768688, 0.64059, 0.007323, -0.051357], [-0.834623, -0.867504, -0.011891, 0.017104, 0.474592], [0.405158, 0.724261, -0.443579, 0.300938, 0.151766]], "network.0.bias": [-0.089402, -0.179663, 0.341665, 0.774532, -0.512408], "network.2.weight": [[-0.306814, -0.314068, 0.081258, -0.576534, -0.308807], [-0.225245, -0.268232, -0.468196, 0.588112, -0.335851], [-0.352236, 0.216553, 0.57421, -0.188659, 0.808764], [-0.229392, -0.107721, -0.142814, 0.75198, -0.423789], [-0.387785, -0.173411, 0.576059, -0.477421, 0.406843]], "network.2.bias": [-0.246903, 0.297484, -0.181431, 0.220896, 0.548691], "network.4.weight": [[-0.333871, 0.491139, -0.91503, 0.8062, -0.431476], [-0.267928, -0.473647, 0.570908, -0.205289, 0.630582], [-0.723009, 0.45765, -0.26769, -0.049974, 0.134739], [-0.042264, 0.125764, -0.738626, 0.567453, -0.534156], [-0.432702, -0.446836, 0.380113, -0.132277, 0.331839]], "network.4.bias": [0.62509, 0.485901, -0.042492, 0.11872, 0.272553], "network.6.weight": [[0.875405, -0.263589, 0.046745, 0.577407, -0.812991], [0.320209, -0.067919, 0.28716, 0.135396, -0.110905], [0.22376, -0.313753, 0.672232, 0.251836, -0.643389], [0.462718, -0.216288, 0.044669, 0.488137, -0.177926], [-0.649364, 0.538842, -0.705297, -0.113032, 0.511388]], "network.6.bias": [0.132553, 0.172267, 0.013029, -0.639687, 0.563329], "network.8.weight": [[-0.415605, -0.328899, 0.230655, 0.155435, 0.403083], [-0.629853, -0.438589, 0.254098, -0.162027, 0.461749], [1.039233, 0.121762, 0.423518, 0.393094, -0.606308], [-0.640087, -0.223612, 0.140623, -0.18051, 0.494161], [-0.134109, -0.848778, 0.180618, -0.1107, 0.622294]], "network.8.bias": [-0.02291, 0.410716, -0.067483, 0.195284, -0.046606], "network.10.weight": [[0.561692, 0.204443, -0.383351, 0.446732, 0.39707], [-0.057117, 0.448045, -0.366702, 0.123071, 0.743067], [0.121373, 0.164287, -0.33202, 0.067371, 0.144435], [0.288404, 0.781408, -0.329736, 0.502616, 0.731111], [-0.692299, -0.567601, 0.618014, -0.579513, 0.167369]], "network.10.bias": [-0.171326, -0.444851, -0.383296, -0.260572, 0.265694], "network.12.weight": [[-0.098977, -0.268497, -0.389169, -0.699806, 0.465583]], "network.12.bias": [0.415431]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6961016356945038, "train_acc": 0.52, "val_loss": 0.7101811170578003, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6769930720329285, "train_acc": 0.59, "val_loss": 0.7540318965911865, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6542038023471832, "train_acc": 0.59, "val_loss": 0.7024107575416565, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5478781908750534, "train_acc": 0.59, "val_loss": 0.5595277547836304, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.44552500545978546, "train_acc": 0.65, "val_loss": 0.47132325172424316, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.34206925332546234, "train_acc": 0.92, "val_loss": 0.3190697729587555, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.28762417286634445, "train_acc": 0.89, "val_loss": 0.24173109233379364, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.20693339407444, "train_acc": 0.935, "val_loss": 0.19095149636268616, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.20873120427131653, "train_acc": 0.935, "val_loss": 0.1543147712945938, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.21439704298973083, "train_acc": 0.935, "val_loss": 0.15447045862674713, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.21136752516031265, "train_acc": 0.925, "val_loss": 0.12578938901424408, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1606009379029274, "train_acc": 0.94, "val_loss": 0.13206976652145386, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.19558468461036682, "train_acc": 0.935, "val_loss": 0.13302291929721832, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1645069718360901, "train_acc": 0.945, "val_loss": 0.14199583232402802, "val_acc": 0.96}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7101811170578003, "final_val_loss": 0.5595277547836304, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.47132325172424316, "final_val_loss": 0.14199583232402802, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 13}, "improvement": 0.5599999999999999, "first_improvement_epoch": 3}}
|
93
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.7, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4662, "learning_rate": 0.06516292890522583, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[24.779171, 25.615470, 26.516252, 30.521562, 83.064448], [21.059773, 25.486473, 27.141278, 27.718163, 77.040104], [27.951146, 28.790760, 29.241801, 30.263945, 135.894578], [22.018130, 22.819592, 23.032278, 26.211350, 150.259260], [19.723754, 21.720412, 22.874691, 25.445634, 46.992741], [28.630033, 29.055023, 29.144986, 33.399795, 158.390495], [25.311422, 25.378421, 26.062469, 27.701450, 70.498069]]
### 2
fourier: [[8.665450, 8.675968, 9.482653, 15.328787, 41.816794], [6.747235, 7.090008, 7.155929, 7.832089, 53.059440], [16.988834, 17.992722, 18.835998, 19.382698, 91.902895], [7.854660, 8.128073, 8.366250, 12.050328, 89.351201], [44.333986, 45.738714, 45.787649, 48.181380, 170.755968], [30.450986, 32.262104, 33.129771, 34.021836, 102.212039], [23.267092, 25.781215, 25.950249, 28.639829, 105.795582]]
### 4
fourier: [[28.237577, 28.429170, 28.538445, 30.294801, 79.277039], [13.512927, 13.806266, 13.888757, 15.654853, 78.735479], [7.428518, 8.013236, 8.191787, 8.545937, 53.966028], [49.198365, 49.244021, 49.625998, 53.038038, 225.845161], [23.664459, 23.855254, 25.922289, 26.359185, 121.720265], [7.990487, 8.023277, 8.047296, 8.546540, 45.405610], [13.195121, 13.408141, 14.286102, 14.814621, 115.114107]]
### 6
fourier: [[25.399833, 26.146768, 26.873816, 28.044571, 69.961732], [29.789509, 30.610155, 31.430772, 32.859959, 129.632163], [35.006859, 35.958285, 36.921162, 38.612114, 144.164977], [21.651064, 22.935513, 23.716719, 24.114377, 70.909726], [28.008016, 28.020061, 28.594581, 30.637883, 127.714933], [7.828064, 8.564265, 8.755234, 8.950741, 50.382987], [37.841558, 39.243726, 40.384346, 41.865293, 160.995503]]
### 8
fourier: [[65.621985, 68.401811, 71.083300, 73.246130, 282.800837]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.779171, 25.615470, 26.516252, 30.521562, 83.064448], [21.059773, 25.486473, 27.141278, 27.718163, 77.040104], [27.951146, 28.790760, 29.241801, 30.263945, 135.894578], [22.018130, 22.819592, 23.032278, 26.211350, 150.259260], [19.723754, 21.720412, 22.874691, 25.445634, 46.992741], [28.630033, 29.055023, 29.144986, 33.399795, 158.390495], [25.311422, 25.378421, 26.062469, 27.701450, 70.498069]]
### 2
fourier: [[8.665450, 8.675968, 9.482653, 15.328787, 41.816794], [6.747235, 7.090008, 7.155929, 7.832089, 53.059440], [16.988834, 17.992722, 18.835998, 19.382698, 91.902895], [7.854660, 8.128073, 8.366250, 12.050328, 89.351201], [44.333986, 45.738714, 45.787649, 48.181380, 170.755968], [30.450986, 32.262104, 33.129771, 34.021836, 102.212039], [23.267092, 25.781215, 25.950249, 28.639829, 105.795582]]
### 4
fourier: [[28.237577, 28.429170, 28.538445, 30.294801, 79.277039], [13.512927, 13.806266, 13.888757, 15.654853, 78.735479], [7.428518, 8.013236, 8.191787, 8.545937, 53.966028], [49.198365, 49.244021, 49.625998, 53.038038, 225.845161], [23.664459, 23.855254, 25.922289, 26.359185, 121.720265], [7.990487, 8.023277, 8.047296, 8.546540, 45.405610], [13.195121, 13.408141, 14.286102, 14.814621, 115.114107]]
### 6
fourier: [[25.399833, 26.146768, 26.873816, 28.044571, 69.961732], [29.789509, 30.610155, 31.430772, 32.859959, 129.632163], [35.006859, 35.958285, 36.921162, 38.612114, 144.164977], [21.651064, 22.935513, 23.716719, 24.114377, 70.909726], [28.008016, 28.020061, 28.594581, 30.637883, 127.714933], [7.828064, 8.564265, 8.755234, 8.950741, 50.382987], [37.841558, 39.243726, 40.384346, 41.865293, 160.995503]]
### 8
fourier: [[65.621985, 68.401811, 71.083300, 73.246130, 282.800837]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853665113449097, "train_acc": 0.57, "val_loss": 0.694990873336792, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6431417465209961, "train_acc": 0.57, "val_loss": 0.6814982891082764, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6028785109519958, "train_acc": 0.57, "val_loss": 0.6177399158477783, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.9505235850811005, "train_acc": 0.505, "val_loss": 0.5882901549339294, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5769958198070526, "train_acc": 0.695, "val_loss": 0.6473140120506287, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6121199131011963, "train_acc": 0.645, "val_loss": 0.6646595001220703, "val_acc": 0.58}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6420239806175232, "train_acc": 0.61, "val_loss": 0.6717875599861145, "val_acc": 0.58}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.694990873336792, "final_val_loss": 0.6177399158477783, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5882901549339294, "final_val_loss": 0.6717875599861145, "initial_val_acc": 0.7, "final_val_acc": 0.58, "best_val_acc": 0.7, "best_epoch": 3}, "improvement": 0.21999999999999997, "first_improvement_epoch": 2}}
|
94
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3299, "learning_rate": 0.06432301658833305, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_ascending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_ascending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[29.644506, 30.065694, 30.651347, 31.959939, 303.114423], [49.445151, 50.441753, 51.415161, 54.944937, 252.428515], [55.512094, 58.927229, 61.818012, 64.361002, 307.595484], [37.769415, 40.812423, 46.214359, 46.603030, 119.077225], [32.363635, 33.279956, 38.966918, 42.040889, 115.240049], [36.865542, 38.195594, 43.978144, 47.211814, 270.418880], [41.412012, 45.766194, 51.301022, 53.465755, 380.537262]]
### 2
fourier: [[56.096709, 57.136201, 57.988227, 59.111921, 315.608661], [95.037266, 98.907915, 99.504076, 101.544925, 493.590017], [32.984931, 35.019537, 37.117585, 38.820435, 219.028660], [67.670215, 68.730791, 69.576846, 72.079850, 288.549783], [76.038607, 77.668188, 78.838978, 79.977762, 322.447303], [18.925526, 20.253575, 22.634235, 23.003900, 147.065865], [32.018090, 34.951550, 36.156758, 36.544262, 235.538654]]
### 4
fourier: [[31.246654, 32.609540, 32.924944, 33.555660, 187.151821], [26.764039, 27.342979, 28.876515, 29.044280, 113.311942], [48.636247, 49.756631, 52.689798, 52.949681, 165.961856], [11.413976, 11.899623, 11.919267, 12.031415, 120.060253], [13.831527, 13.871420, 14.226632, 14.359128, 86.131295], [30.036948, 31.115554, 32.550349, 32.856257, 119.705520], [41.531643, 42.885038, 43.152328, 44.050181, 203.556373]]
### 6
fourier: [[22.528253, 23.141404, 24.780694, 24.781255, 121.540944], [41.953931, 43.279142, 45.617566, 45.801001, 224.561220], [16.045983, 16.318092, 17.170945, 17.519437, 19.041381], [24.161605, 27.323533, 28.203939, 28.926173, 36.328692], [12.001703, 12.304553, 12.414841, 12.680480, 82.265079], [17.580133, 18.032778, 20.084426, 20.336113, 53.751839], [13.444643, 15.235662, 15.691150, 15.944922, 91.982766]]
### 8
fourier: [[78.511592, 85.911725, 91.393071, 92.664888, 498.472842], [6.291196, 6.403239, 7.568035, 8.037981, 101.067540], [20.130844, 20.426490, 20.949944, 22.086191, 187.110740], [59.802753, 65.752338, 69.897923, 71.012951, 378.878267], [6.237546, 6.880091, 7.788990, 8.291322, 76.691711], [30.625485, 31.554282, 33.641380, 33.667048, 234.976379], [9.520549, 11.247337, 12.201621, 13.317739, 82.879478]]
### 10
fourier: [[118.245789, 133.738419, 135.496789, 140.608775, 822.822205]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_ascending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[29.644506, 30.065694, 30.651347, 31.959939, 303.114423], [49.445151, 50.441753, 51.415161, 54.944937, 252.428515], [55.512094, 58.927229, 61.818012, 64.361002, 307.595484], [37.769415, 40.812423, 46.214359, 46.603030, 119.077225], [32.363635, 33.279956, 38.966918, 42.040889, 115.240049], [36.865542, 38.195594, 43.978144, 47.211814, 270.418880], [41.412012, 45.766194, 51.301022, 53.465755, 380.537262]]
### 2
fourier: [[56.096709, 57.136201, 57.988227, 59.111921, 315.608661], [95.037266, 98.907915, 99.504076, 101.544925, 493.590017], [32.984931, 35.019537, 37.117585, 38.820435, 219.028660], [67.670215, 68.730791, 69.576846, 72.079850, 288.549783], [76.038607, 77.668188, 78.838978, 79.977762, 322.447303], [18.925526, 20.253575, 22.634235, 23.003900, 147.065865], [32.018090, 34.951550, 36.156758, 36.544262, 235.538654]]
### 4
fourier: [[31.246654, 32.609540, 32.924944, 33.555660, 187.151821], [26.764039, 27.342979, 28.876515, 29.044280, 113.311942], [48.636247, 49.756631, 52.689798, 52.949681, 165.961856], [11.413976, 11.899623, 11.919267, 12.031415, 120.060253], [13.831527, 13.871420, 14.226632, 14.359128, 86.131295], [30.036948, 31.115554, 32.550349, 32.856257, 119.705520], [41.531643, 42.885038, 43.152328, 44.050181, 203.556373]]
### 6
fourier: [[22.528253, 23.141404, 24.780694, 24.781255, 121.540944], [41.953931, 43.279142, 45.617566, 45.801001, 224.561220], [16.045983, 16.318092, 17.170945, 17.519437, 19.041381], [24.161605, 27.323533, 28.203939, 28.926173, 36.328692], [12.001703, 12.304553, 12.414841, 12.680480, 82.265079], [17.580133, 18.032778, 20.084426, 20.336113, 53.751839], [13.444643, 15.235662, 15.691150, 15.944922, 91.982766]]
### 8
fourier: [[78.511592, 85.911725, 91.393071, 92.664888, 498.472842], [6.291196, 6.403239, 7.568035, 8.037981, 101.067540], [20.130844, 20.426490, 20.949944, 22.086191, 187.110740], [59.802753, 65.752338, 69.897923, 71.012951, 378.878267], [6.237546, 6.880091, 7.788990, 8.291322, 76.691711], [30.625485, 31.554282, 33.641380, 33.667048, 234.976379], [9.520549, 11.247337, 12.201621, 13.317739, 82.879478]]
### 10
fourier: [[118.245789, 133.738419, 135.496789, 140.608775, 822.822205]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_ascending
|
{"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.644505975290638, 30.06569438275593, 30.65134728686432, 31.959938706894306, 303.1144230365753]}, "1": {"fourier": [49.44515145798818, 50.44175263267253, 51.41516096779409, 54.94493723741042, 252.42851519212127]}, "2": {"fourier": [55.51209351187248, 58.92722886550413, 61.81801206297824, 64.36100194652772, 307.59548357129097]}, "3": {"fourier": [37.76941511868055, 40.812422547726314, 46.21435852691994, 46.60303019899212, 119.07722488045692]}, "4": {"fourier": [32.363635216984356, 33.27995597902198, 38.96691784801299, 42.04088900170065, 115.24004861712456]}, "5": {"fourier": [36.86554202184863, 38.19559431049286, 43.978144061038414, 47.211814416524994, 270.4188795387745]}, "6": {"fourier": [41.41201224142622, 45.76619438498393, 51.30102183560545, 53.46575489251542, 380.53726174589247]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [56.096709321131655, 57.13620083914002, 57.98822678915836, 59.11192104352912, 315.60866129398346]}, "1": {"fourier": [95.03726605822925, 98.90791482058823, 99.50407582822463, 101.5449250307309, 493.5900166593492]}, "2": {"fourier": [32.984930687132724, 35.019537377426815, 37.117584882381344, 38.82043516792472, 219.02866020798683]}, "3": {"fourier": [67.67021479656347, 68.73079096399368, 69.57684612526266, 72.0798499383588, 288.5497831106186]}, "4": {"fourier": [76.03860679245857, 77.66818808401209, 78.83897762264253, 79.97776200213104, 322.44730347394943]}, "5": {"fourier": [18.925526394986814, 20.253575254651423, 22.634234654810435, 23.0038999863759, 147.06586456298828]}, "6": {"fourier": [32.018089993717595, 34.95155043007912, 36.15675793222041, 36.54426226850072, 235.53865432739258]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [31.246653632071386, 32.60953956869184, 32.924944052715276, 33.555659682258195, 187.15182095766068]}, "1": {"fourier": [26.764039106585816, 27.342978864193974, 28.87651476093711, 29.04427974167899, 113.31194151192904]}, "2": {"fourier": [48.63624688822093, 49.756630794297585, 52.68979800317015, 52.949681290239916, 165.96185570955276]}, "3": {"fourier": [11.413976192342181, 11.899623384176312, 11.91926713740158, 12.031415389653507, 120.06025278568268]}, "4": {"fourier": [13.831527268477108, 13.871419995799533, 14.22663159574331, 14.35912797440527, 86.13129513710737]}, "5": {"fourier": [30.036948266638838, 31.115554061633823, 32.550348822965766, 32.85625710439567, 119.70552046224475]}, "6": {"fourier": [41.53164291373146, 42.8850381534897, 43.152327691857295, 44.050181287333004, 203.55637335032225]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [22.52825291950736, 23.1414037777187, 24.78069432126426, 24.781255099372146, 121.54094392061234]}, "1": {"fourier": [41.95393148777408, 43.27914194553222, 45.61756647447127, 45.80100083530411, 224.5612195432186]}, "2": {"fourier": [16.045983400566247, 16.31809228129605, 17.17094461659068, 17.519437376319527, 19.041381207703257]}, "3": {"fourier": [24.16160503845346, 27.32353299058024, 28.203938865295974, 28.926172981828547, 36.328691974282265]}, "4": {"fourier": [12.001702602937991, 12.304552600573178, 12.414841295266193, 12.680479624120867, 82.26507928967476]}, "5": {"fourier": [17.580133217512426, 18.032777796015495, 20.084425687278785, 20.336112572283707, 53.75183852761984]}, "6": {"fourier": [13.444642526007737, 15.235661772007152, 15.691149938950058, 15.94492159014345, 91.98276641964912]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [78.51159171210834, 85.91172533617093, 91.39307143282338, 92.66488785152733, 498.47284215688705]}, "1": {"fourier": [6.291195588958715, 6.403238952391663, 7.5680354353749, 8.03798067021146, 101.06754022836685]}, "2": {"fourier": [20.130844081658218, 20.426490288620638, 20.94994351253006, 22.08619145991244, 187.11073994636536]}, "3": {"fourier": [59.80275274701862, 65.75233818705186, 69.89792307752087, 71.01295058893358, 378.87826681137085]}, "4": {"fourier": [6.237545739261599, 6.880091475112991, 7.788989550699614, 8.29132157264455, 76.69171079993248]}, "5": {"fourier": [30.625484548753978, 31.55428167213875, 33.641380167257694, 33.667048062694384, 234.97637850046158]}, "6": {"fourier": [9.520548761272183, 11.24733742681519, 12.201620850635026, 13.317738925472874, 82.87947790324688]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [118.24578900021754, 133.73841855541372, 135.49678892361646, 140.60877483417613, 822.8222048282623]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.049561, -0.247638, -0.169063, -0.522215, -0.463014], [0.885028, 1.014206, 0.161591, -0.060416, -0.236032], [1.080074, 0.997026, 0.261671, 0.131342, -0.225917], [-1.04324, -0.342296, -0.114659, -0.122529, 0.527229], [0.848221, 0.274725, 0.231091, -0.045248, -0.348915], [-0.624936, -0.196795, -0.43587, -0.162881, -0.430403], [-0.480983, -0.353688, -0.639465, -0.750014, -0.025603]], "network.0.bias": [-0.810945, -0.061596, -0.292793, 0.45093, -0.231095, -0.077748, -0.009423], "network.2.weight": [[-0.218844, -0.554649, -0.309024, 0.184487, -0.339002, -0.325965, -0.309648], [0.102109, 0.601996, 0.809737, -0.059483, 0.665118, 0.194271, 0.276122], [-0.004402, -0.252832, -0.429778, -0.322556, 0.025428, 0.042984, -0.223356], [-0.32122, -0.529459, -0.610041, 0.406645, -0.152673, 0.099253, 0.19589], [-0.266702, -0.568454, -0.580519, 0.234668, -0.456268, 0.109704, 0.262306], [-0.043103, -0.364942, -0.17503, -0.147019, 0.25109, 0.181778, -0.209955], [-0.220096, -0.423431, -0.22375, -0.083143, -0.028493, 0.148351, -0.216531]], "network.2.bias": [-0.403943, -0.008191, -0.159796, 0.530094, 0.659382, -0.307273, -0.56225], "network.4.weight": [[0.374636, -0.329736, 0.107986, -0.109253, 0.138583, -0.069463, -0.043971], [-0.236947, -0.248724, -0.175603, 0.454328, 0.389869, 0.244855, -0.368461], [-0.28736, -0.448745, 0.037487, 0.790237, 0.85307, 0.293012, 0.292907], [-0.040168, -0.129279, 0.125534, 0.001522, -0.283571, -0.031472, -0.151301], [0.394175, -0.140722, -0.252793, 0.280706, -0.258563, 0.134685, 0.023592], [-0.05458, -0.283025, -0.312297, 0.278517, 0.64495, 0.267986, -0.210203], [-0.144528, 0.437909, -0.34863, -0.175546, 0.256217, -0.251282, 0.250448]], "network.4.bias": [-0.272897, -0.037666, 0.339581, -0.576987, -0.191502, 0.067996, -0.154707], "network.6.weight": [[0.019838, -0.242709, -0.387192, 0.040651, 0.068581, 0.007756, 0.468086], [0.375549, -0.166029, -0.346466, 0.342192, -0.088066, -0.581345, 0.906463], [-0.351688, 0.430498, 0.793616, 0.031246, -0.495218, 0.438969, -0.123852], [0.164176, 0.711456, 0.681345, 0.017266, -0.203934, 0.752749, -0.355622], [-0.130608, -0.081304, 0.097125, -0.041801, 0.319392, -0.102585, -0.287022], [-0.171702, 0.251383, 0.518536, -0.134096, 0.101951, 0.081227, -0.3195], [-0.204587, -0.099599, -0.660686, -0.04774, 0.220503, -0.0974, 0.194226]], "network.6.bias": [0.446648, 0.665153, -0.057616, -0.037271, -0.267323, -0.091412, 0.832542], "network.8.weight": [[0.455374, 1.176573, -0.324548, -0.638131, -0.031149, -0.52314, 1.21674], [0.13054, -0.12765, -0.46175, -0.284282, -0.324717, 0.247302, -0.461423], [-0.546069, -0.292856, -0.062367, -0.477824, -0.149941, -0.007072, -0.040577], [0.91853, 0.568803, -0.480434, -0.355814, 0.091946, -0.278492, 1.012667], [-0.367203, 0.030411, -0.029862, -0.371501, 0.120327, -0.267672, 0.076226], [-0.319344, -0.612665, -0.198938, -0.077233, 0.028971, -0.182875, -0.244996], [-0.073683, -0.347528, -0.199103, -0.135356, -0.042469, -0.215209, 0.377049]], "network.8.bias": [1.010415, -0.219636, -0.270983, 0.711759, -0.269478, -0.157367, -0.15567], "network.10.weight": [[-1.050316, -0.054898, -0.100482, -0.792897, 0.102484, -0.137952, -0.096877]], "network.10.bias": [0.507236]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994909048080444, "train_acc": 0.415, "val_loss": 0.6991400718688965, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6935378611087799, "train_acc": 0.585, "val_loss": 0.7035931348800659, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6697359085083008, "train_acc": 0.585, "val_loss": 0.6766133308410645, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6420429050922394, "train_acc": 0.585, "val_loss": 0.6471720933914185, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6367744207382202, "train_acc": 0.505, "val_loss": 0.5818064212799072, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5520285964012146, "train_acc": 0.505, "val_loss": 0.619605541229248, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5148171484470367, "train_acc": 0.73, "val_loss": 0.45146653056144714, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3988070785999298, "train_acc": 0.935, "val_loss": 0.3955761194229126, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3508017957210541, "train_acc": 0.925, "val_loss": 0.3670763671398163, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.31337210536003113, "train_acc": 0.935, "val_loss": 0.3796749413013458, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.27281492948532104, "train_acc": 0.96, "val_loss": 0.5912906527519226, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2722610980272293, "train_acc": 0.95, "val_loss": 0.32245728373527527, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2863314598798752, "train_acc": 0.92, "val_loss": 0.30296629667282104, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.26556918025016785, "train_acc": 0.92, "val_loss": 0.29454752802848816, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6991400718688965, "final_val_loss": 0.6471720933914185, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5818064212799072, "final_val_loss": 0.29454752802848816, "initial_val_acc": 0.48, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 9}, "improvement": 0.44000000000000006, "first_improvement_epoch": 3}}
|
95
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4130, "learning_rate": 0.07546547592586104, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "first_last_match", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["first_last_match"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
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[
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],
"network.0.bias": [
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"network.2.weight": [
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],
[
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],
[
0.602268,
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1.159867
],
[
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]
],
"network.2.bias": [
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[
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[
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"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[42.085316, 44.032085, 45.594567, 48.499941, 57.311382], [25.715377, 26.794713, 33.096351, 34.878196, 224.692187], [29.632068, 34.389592, 36.799565, 39.429016, 44.611764], [26.370716, 26.869512, 26.990531, 35.064233, 249.603202], [32.689551, 34.412885, 35.396321, 36.007327, 36.503694]]
### 2
fourier: [[9.169511, 9.526711, 9.650786, 11.533441, 66.558473], [51.042769, 56.233005, 56.568749, 64.453835, 192.813629], [19.908554, 20.199580, 21.106794, 21.795876, 73.085997], [37.713422, 42.556183, 43.465650, 49.838421, 136.921749], [50.646784, 52.288212, 53.087514, 54.564526, 182.017581]]
### 4
fourier: [[51.718815, 55.497122, 55.934527, 62.845565, 209.834105], [20.283560, 21.891439, 21.910962, 24.730225, 102.261345], [31.800456, 33.569795, 34.001848, 37.338400, 125.937115], [126.259986, 135.870676, 137.944926, 156.144204, 484.386881], [97.513136, 104.119459, 105.293053, 117.636542, 333.968460]]
### 6
fourier: [[3.147881, 3.188482, 3.223415, 3.581357, 44.664379], [167.196294, 177.315198, 181.687670, 206.264203, 595.640354], [167.826542, 178.599503, 182.648254, 207.304037, 636.170407], [165.624662, 176.353558, 180.295445, 204.625526, 601.236348], [8.101234, 9.134307, 9.333354, 10.293297, 42.124356]]
### 8
fourier: [[83.917364, 88.735697, 91.203211, 103.943923, 343.867453], [258.769456, 272.969695, 281.572399, 321.998337, 944.810805], [1.693538, 2.031534, 2.201038, 2.463041, 22.560217], [81.940511, 86.511973, 89.086538, 101.704773, 331.572717], [33.293761, 35.394768, 36.252196, 41.219073, 168.280819]]
### 10
fourier: [[153.780599, 161.439490, 167.271371, 192.200994, 526.040105]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
first_last_match
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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-0.308321,
0.791414
],
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-0.042553,
-0.395751,
-0.303847
],
[
0.715865,
-0.145103,
-0.349778,
-0.245068,
0.736328
],
[
0.129325,
-0.396766,
-0.508954,
-0.0013,
-0.474546
],
[
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]
],
"network.0.bias": [
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"network.2.weight": [
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0.631871,
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1.256477
],
[
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0.1172,
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],
[
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1.159867
],
[
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]
],
"network.2.bias": [
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],
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[
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],
[
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[
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]
],
"network.4.bias": [
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],
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[
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],
[
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0.547999,
1.044986
],
[
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[
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[
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]
],
"network.6.bias": [
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"network.8.weight": [
[
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[
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0.616335,
0.082758
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[
-0.353385,
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[
-0.027155,
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0.26722
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[
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]
],
"network.8.bias": [
-0.294755,
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],
"network.10.weight": [
[
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-0.600292,
0.233277,
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0.122255
]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[42.085316, 44.032085, 45.594567, 48.499941, 57.311382], [25.715377, 26.794713, 33.096351, 34.878196, 224.692187], [29.632068, 34.389592, 36.799565, 39.429016, 44.611764], [26.370716, 26.869512, 26.990531, 35.064233, 249.603202], [32.689551, 34.412885, 35.396321, 36.007327, 36.503694]]
### 2
fourier: [[9.169511, 9.526711, 9.650786, 11.533441, 66.558473], [51.042769, 56.233005, 56.568749, 64.453835, 192.813629], [19.908554, 20.199580, 21.106794, 21.795876, 73.085997], [37.713422, 42.556183, 43.465650, 49.838421, 136.921749], [50.646784, 52.288212, 53.087514, 54.564526, 182.017581]]
### 4
fourier: [[51.718815, 55.497122, 55.934527, 62.845565, 209.834105], [20.283560, 21.891439, 21.910962, 24.730225, 102.261345], [31.800456, 33.569795, 34.001848, 37.338400, 125.937115], [126.259986, 135.870676, 137.944926, 156.144204, 484.386881], [97.513136, 104.119459, 105.293053, 117.636542, 333.968460]]
### 6
fourier: [[3.147881, 3.188482, 3.223415, 3.581357, 44.664379], [167.196294, 177.315198, 181.687670, 206.264203, 595.640354], [167.826542, 178.599503, 182.648254, 207.304037, 636.170407], [165.624662, 176.353558, 180.295445, 204.625526, 601.236348], [8.101234, 9.134307, 9.333354, 10.293297, 42.124356]]
### 8
fourier: [[83.917364, 88.735697, 91.203211, 103.943923, 343.867453], [258.769456, 272.969695, 281.572399, 321.998337, 944.810805], [1.693538, 2.031534, 2.201038, 2.463041, 22.560217], [81.940511, 86.511973, 89.086538, 101.704773, 331.572717], [33.293761, 35.394768, 36.252196, 41.219073, 168.280819]]
### 10
fourier: [[153.780599, 161.439490, 167.271371, 192.200994, 526.040105]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
first_last_match
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.033765, -0.015502, -0.480862, -0.308321, 0.791414], [-0.344087, -0.360907, -0.042553, -0.395751, -0.303847], [0.715865, -0.145103, -0.349778, -0.245068, 0.736328], [0.129325, -0.396766, -0.508954, -0.0013, -0.474546], [-0.82924, -0.036529, 0.016188, -0.046416, 0.974743]], "network.0.bias": [-0.31124, -0.09843, -0.199394, -0.5601, 0.12106], "network.2.weight": [[-0.11596, -0.377587, 0.003412, 0.218023, -0.339255], [0.656592, 0.214398, 0.631871, 0.062299, 1.256477], [-0.244413, 0.205741, -0.39052, 0.1172, -0.229107], [0.602268, -0.028786, 0.186959, -0.065075, 1.159867], [1.021342, -0.208188, 0.357334, 0.062381, 0.725269]], "network.2.bias": [-0.334436, -0.179551, -0.005371, -0.275721, -0.062916], "network.4.weight": [[0.113484, -0.667506, 0.072735, -0.06298, -0.314529], [-0.327338, -0.449604, 0.300554, 0.150298, -0.061449], [0.237835, -0.011517, 0.399411, -0.297132, -0.405989], [0.153301, 1.171644, 0.120886, 0.874298, 0.708235], [-0.084909, 0.787546, 0.386771, 0.492442, 0.794939]], "network.4.bias": [-0.119002, -0.266097, -0.062637, -0.061202, -0.444017], "network.6.weight": [[-0.218284, 0.309424, 0.364191, -0.346697, 0.440162], [-0.26632, 0.123764, -0.261171, 0.547999, 1.044986], [0.255458, 0.00061, -0.130864, 0.749455, 0.782211], [-0.344564, 0.324461, -0.316363, 0.771056, 0.7299], [-0.58741, -0.201636, -0.265828, -0.258812, 0.260111]], "network.6.bias": [-0.345252, -0.436484, -0.046455, -0.346575, -0.087194], "network.8.weight": [[0.110093, -0.384146, -0.3999, 0.282232, -0.349088], [0.112826, 0.712909, 0.248227, 0.616335, 0.082758], [-0.353385, -0.058501, 0.383176, -0.344343, -0.180131], [-0.027155, -0.345511, -0.248788, 0.100203, 0.26722], [-0.13622, 0.010885, -0.18018, -0.030148, -0.479028]], "network.8.bias": [-0.294755, -0.346689, -0.211231, -0.247445, -0.460398], "network.10.weight": [[0.109448, -0.600292, 0.233277, -0.411705, 0.122255]], "network.10.bias": [0.557644]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972646415233612, "train_acc": 0.48, "val_loss": 0.7658523321151733, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6579761207103729, "train_acc": 0.59, "val_loss": 0.7862991094589233, "val_acc": 0.38}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6379126012325287, "train_acc": 0.59, "val_loss": 0.6875917911529541, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5719451606273651, "train_acc": 0.53, "val_loss": 0.5628965497016907, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.47717590630054474, "train_acc": 0.74, "val_loss": 0.45914769172668457, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.422526016831398, "train_acc": 0.845, "val_loss": 0.4079972207546234, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3866778612136841, "train_acc": 0.85, "val_loss": 0.3957737684249878, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.37954843044281006, "train_acc": 0.845, "val_loss": 0.40135830640792847, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.38246168196201324, "train_acc": 0.845, "val_loss": 0.37487733364105225, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.35577356815338135, "train_acc": 0.85, "val_loss": 0.32898956537246704, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.35971181094646454, "train_acc": 0.85, "val_loss": 0.3145032227039337, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34620407223701477, "train_acc": 0.85, "val_loss": 0.3123704791069031, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3606422245502472, "train_acc": 0.845, "val_loss": 0.29800575971603394, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.7658523321151733, "final_val_loss": 0.6875917911529541, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.5628965497016907, "final_val_loss": 0.29800575971603394, "initial_val_acc": 0.7, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.5599999999999999, "first_improvement_epoch": 2}}
|
96
|
{"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2661, "learning_rate": 0.016454883598897074, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "alternating", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["alternating"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.496761,
0.443223,
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0.0101
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[
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[
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[
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[
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"network.0.bias": [
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],
"network.2.bias": [
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}
## Activation Signature
### 0
fourier: [[27.702221, 28.035087, 30.530482, 30.672086, 32.147338], [16.882015, 17.843184, 18.855336, 18.982586, 133.310104], [22.810933, 24.057783, 24.721364, 27.637600, 57.431506], [28.495628, 29.254954, 32.597991, 33.455823, 72.326344], [24.842789, 26.805372, 29.410915, 29.497258, 205.296492], [24.258756, 24.811316, 25.660547, 26.868000, 40.552572]]
### 2
fourier: [[6.831704, 7.047505, 7.867859, 8.503376, 37.125145], [22.023912, 22.651972, 23.004090, 25.491887, 74.935900], [19.725733, 21.998739, 22.647696, 25.438480, 28.711146], [13.624761, 14.113198, 15.153150, 16.804288, 132.206275], [13.133307, 13.576164, 13.902857, 14.265117, 51.889997], [4.665110, 4.811329, 5.025631, 5.205636, 6.296817]]
### 4
fourier: [[4.469904, 5.121194, 5.811862, 6.419029, 7.501733], [9.261226, 11.224716, 11.540733, 11.614010, 39.083622], [8.900058, 9.863550, 10.176110, 11.084425, 12.403073], [8.588322, 9.117111, 9.278719, 9.840415, 55.523581], [3.422234, 3.458241, 3.467471, 4.287377, 20.203635], [15.706642, 15.782676, 17.310034, 22.172453, 139.167728]]
### 6
fourier: [[9.909249, 10.203973, 10.890802, 14.182480, 101.415103], [13.512888, 13.923635, 14.223078, 17.358562, 80.029474], [10.393434, 10.578903, 11.165898, 11.217207, 66.702070], [4.003907, 4.250886, 4.487226, 5.916592, 71.468340], [5.021573, 5.180800, 5.384685, 5.475262, 14.736548], [1.573394, 1.580423, 1.807627, 1.868170, 36.383179]]
### 8
fourier: [[14.661519, 15.257222, 15.620548, 19.566464, 88.908628]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
alternating
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.443223,
-0.497638,
0.147577,
0.0101
],
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-0.13788,
0.009419,
-0.008361
],
[
0.060139,
-0.035476,
-0.445414,
0.318534,
0.574457
],
[
0.424726,
-0.663325,
0.309703,
-0.431708,
-0.11007
],
[
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0.613297,
0.335403,
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],
[
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0.44584
]
],
"network.0.bias": [
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],
"network.2.weight": [
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}
## Activation Signature
### 0
fourier: [[27.702221, 28.035087, 30.530482, 30.672086, 32.147338], [16.882015, 17.843184, 18.855336, 18.982586, 133.310104], [22.810933, 24.057783, 24.721364, 27.637600, 57.431506], [28.495628, 29.254954, 32.597991, 33.455823, 72.326344], [24.842789, 26.805372, 29.410915, 29.497258, 205.296492], [24.258756, 24.811316, 25.660547, 26.868000, 40.552572]]
### 2
fourier: [[6.831704, 7.047505, 7.867859, 8.503376, 37.125145], [22.023912, 22.651972, 23.004090, 25.491887, 74.935900], [19.725733, 21.998739, 22.647696, 25.438480, 28.711146], [13.624761, 14.113198, 15.153150, 16.804288, 132.206275], [13.133307, 13.576164, 13.902857, 14.265117, 51.889997], [4.665110, 4.811329, 5.025631, 5.205636, 6.296817]]
### 4
fourier: [[4.469904, 5.121194, 5.811862, 6.419029, 7.501733], [9.261226, 11.224716, 11.540733, 11.614010, 39.083622], [8.900058, 9.863550, 10.176110, 11.084425, 12.403073], [8.588322, 9.117111, 9.278719, 9.840415, 55.523581], [3.422234, 3.458241, 3.467471, 4.287377, 20.203635], [15.706642, 15.782676, 17.310034, 22.172453, 139.167728]]
### 6
fourier: [[9.909249, 10.203973, 10.890802, 14.182480, 101.415103], [13.512888, 13.923635, 14.223078, 17.358562, 80.029474], [10.393434, 10.578903, 11.165898, 11.217207, 66.702070], [4.003907, 4.250886, 4.487226, 5.916592, 71.468340], [5.021573, 5.180800, 5.384685, 5.475262, 14.736548], [1.573394, 1.580423, 1.807627, 1.868170, 36.383179]]
### 8
fourier: [[14.661519, 15.257222, 15.620548, 19.566464, 88.908628]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
alternating
|
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|
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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742225885391235, "train_acc": 0.585, "val_loss": 0.6989023089408875, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6494012475013733, "train_acc": 0.585, "val_loss": 0.6856422424316406, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6352405846118927, "train_acc": 0.585, "val_loss": 0.6672301292419434, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6212346851825714, "train_acc": 0.585, "val_loss": 0.6271716356277466, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5977166593074799, "train_acc": 0.51, "val_loss": 0.5824891924858093, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5614958107471466, "train_acc": 0.51, "val_loss": 0.525611937046051, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4887046366930008, "train_acc": 0.55, "val_loss": 0.4748031497001648, "val_acc": 0.6}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4345873296260834, "train_acc": 0.84, "val_loss": 0.4161657392978668, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3822944313287735, "train_acc": 0.98, "val_loss": 0.36766254901885986, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.31803205609321594, "train_acc": 0.98, "val_loss": 0.3269416093826294, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2614234834909439, "train_acc": 0.975, "val_loss": 0.29656878113746643, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.23629631847143173, "train_acc": 0.975, "val_loss": 0.269260972738266, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.17194733023643494, "train_acc": 0.975, "val_loss": 0.21816898882389069, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.1353606879711151, "train_acc": 0.975, "val_loss": 0.17941522598266602, "val_acc": 0.92}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6989023089408875, "final_val_loss": 0.6271716356277466, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5824891924858093, "final_val_loss": 0.17941522598266602, "initial_val_acc": 0.46, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.4799999999999999, "first_improvement_epoch": 3}}
|
97
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8051, "learning_rate": 0.07341084060543933, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "sorted_descending", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["sorted_descending"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.465169,
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],
[
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0.616469,
0.005689
],
[
-0.623876,
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-0.025965,
0.267983
],
[
-0.388816,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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],
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
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[
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[
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"network.4.bias": [
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],
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[25.115593, 27.082886, 27.717540, 33.077388, 37.208195], [19.765616, 21.300346, 21.583657, 21.638649, 22.691802], [22.432028, 22.706531, 23.495358, 24.714583, 81.900709], [21.974833, 22.263638, 22.277321, 23.821844, 25.122388], [26.846257, 26.989000, 27.088625, 32.198358, 39.940023]]
### 2
fourier: [[13.443127, 15.006567, 16.859345, 17.003624, 133.667527], [21.736918, 22.095257, 22.242223, 26.746474, 109.842322], [34.871868, 39.545914, 41.829011, 45.439451, 230.717176], [7.981540, 9.040199, 9.268493, 10.144139, 113.434741], [8.036770, 8.177865, 8.244101, 9.472849, 85.901201]]
### 4
fourier: [[27.508821, 29.994437, 31.283010, 34.683039, 161.379411], [21.975778, 23.728222, 24.645180, 27.554538, 166.959129], [32.308731, 35.556312, 37.233869, 40.949006, 214.801636], [35.504921, 38.654173, 40.288456, 44.726043, 213.439996], [11.581631, 12.683783, 13.253879, 14.638436, 15.667309]]
### 6
fourier: [[13.656743, 15.311266, 15.849669, 17.313174, 93.512639], [5.337275, 5.807625, 5.992588, 6.630946, 65.076541], [38.102501, 41.457088, 43.249752, 47.827092, 214.755709], [57.709345, 65.118434, 67.451011, 73.494581, 345.541612], [46.631702, 50.638278, 52.867928, 58.532318, 279.180984]]
### 8
fourier: [[70.636129, 77.332080, 80.482390, 88.526682, 369.919264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
sorted_descending
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.465169,
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0.142384,
0.258186,
0.588311
],
[
-0.212016,
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-0.057038,
0.616469,
0.005689
],
[
-0.623876,
0.196884,
0.45411,
-0.025965,
0.267983
],
[
-0.388816,
-0.380995,
0.001873,
0.23636,
0.494251
],
[
-0.644144,
0.440151,
-0.230514,
0.222514,
-0.228756
]
],
"network.0.bias": [
0.316346,
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],
"network.2.weight": [
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],
[
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],
[
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],
[
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],
[
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]
],
"network.2.bias": [
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],
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[
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],
[
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],
[
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[
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[
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],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
-0.256177,
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0.048501
],
[
0.644836,
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],
[
0.39615,
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],
[
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]
],
"network.6.bias": [
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-0.1402
],
"network.8.weight": [
[
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0.032768,
-0.475297,
-0.481549,
-0.543194
]
],
"network.8.bias": [
0.607262
]
}
## Activation Signature
### 0
fourier: [[25.115593, 27.082886, 27.717540, 33.077388, 37.208195], [19.765616, 21.300346, 21.583657, 21.638649, 22.691802], [22.432028, 22.706531, 23.495358, 24.714583, 81.900709], [21.974833, 22.263638, 22.277321, 23.821844, 25.122388], [26.846257, 26.989000, 27.088625, 32.198358, 39.940023]]
### 2
fourier: [[13.443127, 15.006567, 16.859345, 17.003624, 133.667527], [21.736918, 22.095257, 22.242223, 26.746474, 109.842322], [34.871868, 39.545914, 41.829011, 45.439451, 230.717176], [7.981540, 9.040199, 9.268493, 10.144139, 113.434741], [8.036770, 8.177865, 8.244101, 9.472849, 85.901201]]
### 4
fourier: [[27.508821, 29.994437, 31.283010, 34.683039, 161.379411], [21.975778, 23.728222, 24.645180, 27.554538, 166.959129], [32.308731, 35.556312, 37.233869, 40.949006, 214.801636], [35.504921, 38.654173, 40.288456, 44.726043, 213.439996], [11.581631, 12.683783, 13.253879, 14.638436, 15.667309]]
### 6
fourier: [[13.656743, 15.311266, 15.849669, 17.313174, 93.512639], [5.337275, 5.807625, 5.992588, 6.630946, 65.076541], [38.102501, 41.457088, 43.249752, 47.827092, 214.755709], [57.709345, 65.118434, 67.451011, 73.494581, 345.541612], [46.631702, 50.638278, 52.867928, 58.532318, 279.180984]]
### 8
fourier: [[70.636129, 77.332080, 80.482390, 88.526682, 369.919264]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
sorted_descending
|
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|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.465169, -0.494297, 0.142384, 0.258186, 0.588311], [-0.212016, -0.331945, -0.057038, 0.616469, 0.005689], [-0.623876, 0.196884, 0.45411, -0.025965, 0.267983], [-0.388816, -0.380995, 0.001873, 0.23636, 0.494251], [-0.644144, 0.440151, -0.230514, 0.222514, -0.228756]], "network.0.bias": [0.316346, -0.130036, 0.104203, 0.055259, 0.322785], "network.2.weight": [[-0.270856, -0.078317, -0.393445, -0.197536, -0.419138], [0.735748, 0.513537, 0.241645, -0.063417, 0.478667], [0.519575, 0.862621, 0.81919, 0.450163, 0.948289], [-0.375898, 0.179522, -0.043921, -0.195309, -0.178234], [-0.18812, -0.211398, -0.080637, -0.031138, -0.223868]], "network.2.bias": [-0.374774, -0.339121, -0.23648, -0.766498, -0.391423], "network.4.weight": [[-0.074295, 0.359622, 0.576995, 0.214705, 0.336982], [0.416927, -0.373486, -0.408274, -0.338286, -0.237782], [-0.056998, 0.301332, 0.751618, -0.065698, 0.254003], [0.006381, 0.48589, 0.731434, 0.336638, -0.024179], [-0.13375, -0.130867, -0.255472, -0.064474, -0.151149]], "network.4.bias": [-0.158338, -0.323667, 0.056148, -0.140188, 0.654056], "network.6.weight": [[-0.271283, 0.011979, -0.03243, -0.136228, 0.167578], [-0.256177, 0.142042, 0.196451, -0.13008, 0.048501], [0.644836, -0.302615, 0.281728, 0.323036, -0.01901], [0.39615, 0.352645, 0.599447, 0.728568, -0.748831], [0.392017, 0.172354, 0.416681, 0.639863, 0.027542]], "network.6.bias": [-0.179243, -0.426166, -0.225362, 0.107652, -0.1402], "network.8.weight": [[0.334613, 0.032768, -0.475297, -0.481549, -0.543194]], "network.8.bias": [0.607262]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6745876371860504, "train_acc": 0.61, "val_loss": 0.6420590877532959, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5961528122425079, "train_acc": 0.57, "val_loss": 0.5364905595779419, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5368310213088989, "train_acc": 0.61, "val_loss": 0.46853408217430115, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4247102439403534, "train_acc": 0.92, "val_loss": 0.33448126912117004, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.33372126519680023, "train_acc": 0.91, "val_loss": 0.26959359645843506, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.27942807227373123, "train_acc": 0.935, "val_loss": 0.2365770787000656, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26576074957847595, "train_acc": 0.945, "val_loss": 0.19964611530303955, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.23328173160552979, "train_acc": 0.945, "val_loss": 0.18007926642894745, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.2272179126739502, "train_acc": 0.95, "val_loss": 0.16551364958286285, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21195904910564423, "train_acc": 0.95, "val_loss": 0.15594196319580078, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.20399454981088638, "train_acc": 0.95, "val_loss": 0.15121035277843475, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.18319834768772125, "train_acc": 0.95, "val_loss": 0.14491845667362213, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6420590877532959, "final_val_loss": 0.5364905595779419, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.46853408217430115, "final_val_loss": 0.14491845667362213, "initial_val_acc": 0.92, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 4}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
98
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9115, "learning_rate": 0.01570519040435236, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "ends_with", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["ends_with"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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[
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],
[
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[
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[
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"network.0.bias": [
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"network.2.weight": [
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[
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[
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[
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[
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[
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],
"network.2.bias": [
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"network.4.weight": [
[
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[
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}
## Activation Signature
### 0
fourier: [[24.855914, 25.842590, 29.169849, 32.822224, 106.029952], [25.024504, 25.051510, 29.745265, 30.952563, 103.496601], [28.878647, 29.040961, 29.102638, 31.501573, 69.492407], [23.096486, 24.069287, 30.511654, 31.858061, 123.646138], [25.058745, 26.585046, 27.658194, 32.215366, 103.500327], [20.509663, 24.904143, 25.639047, 26.081910, 132.573693], [24.857129, 26.815409, 27.257456, 35.808071, 61.160018]]
### 2
fourier: [[34.716660, 36.478499, 37.167980, 42.237354, 83.460692], [26.347260, 26.353994, 29.262656, 33.732806, 160.121224], [24.625020, 24.639624, 25.671994, 25.983647, 162.287518], [21.947822, 22.680100, 23.471020, 24.592704, 25.737827], [12.049393, 14.358400, 15.255933, 17.156890, 17.339420], [25.337450, 27.209995, 34.480743, 36.116472, 169.099811], [27.813125, 30.095487, 32.887168, 38.534143, 156.468956]]
### 4
fourier: [[5.263258, 5.688585, 6.744242, 7.041472, 30.126001], [9.256035, 10.869179, 11.225824, 11.279533, 55.116483], [38.675240, 41.563046, 47.551542, 53.366975, 212.136250], [41.016460, 47.907710, 60.854375, 65.025947, 284.756646], [31.236810, 31.452026, 33.084300, 33.905107, 121.862767], [36.918113, 42.011123, 45.920451, 48.331499, 203.012698], [14.149346, 16.011739, 17.189964, 18.164143, 21.966302]]
### 6
fourier: [[15.571573, 16.408107, 18.368258, 22.304890, 71.502780], [10.868653, 11.104155, 12.526663, 13.107694, 26.749305], [32.298570, 34.192417, 43.962837, 45.004099, 172.132833], [40.577669, 47.015807, 59.366349, 60.741151, 253.259994], [18.442959, 18.557114, 21.908684, 23.798253, 137.107764], [45.458535, 52.353116, 65.541225, 68.240038, 279.039309], [42.224079, 49.371094, 61.078099, 61.932551, 257.288695]]
### 8
fourier: [[13.851750, 17.037845, 19.255578, 19.968287, 53.760288], [16.220763, 17.972915, 19.886290, 22.036436, 43.342593], [15.487173, 16.747772, 20.995745, 21.251299, 104.216259], [91.404904, 103.614697, 129.306542, 130.120141, 510.095856], [1.822121, 2.509527, 2.712970, 2.721479, 31.890964], [82.279434, 94.903219, 118.422704, 118.551430, 495.672383], [19.342070, 19.920654, 23.116657, 25.783196, 108.664155]]
### 10
fourier: [[88.875937, 100.103762, 123.951334, 126.409543, 464.095717]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
ends_with
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[24.855914, 25.842590, 29.169849, 32.822224, 106.029952], [25.024504, 25.051510, 29.745265, 30.952563, 103.496601], [28.878647, 29.040961, 29.102638, 31.501573, 69.492407], [23.096486, 24.069287, 30.511654, 31.858061, 123.646138], [25.058745, 26.585046, 27.658194, 32.215366, 103.500327], [20.509663, 24.904143, 25.639047, 26.081910, 132.573693], [24.857129, 26.815409, 27.257456, 35.808071, 61.160018]]
### 2
fourier: [[34.716660, 36.478499, 37.167980, 42.237354, 83.460692], [26.347260, 26.353994, 29.262656, 33.732806, 160.121224], [24.625020, 24.639624, 25.671994, 25.983647, 162.287518], [21.947822, 22.680100, 23.471020, 24.592704, 25.737827], [12.049393, 14.358400, 15.255933, 17.156890, 17.339420], [25.337450, 27.209995, 34.480743, 36.116472, 169.099811], [27.813125, 30.095487, 32.887168, 38.534143, 156.468956]]
### 4
fourier: [[5.263258, 5.688585, 6.744242, 7.041472, 30.126001], [9.256035, 10.869179, 11.225824, 11.279533, 55.116483], [38.675240, 41.563046, 47.551542, 53.366975, 212.136250], [41.016460, 47.907710, 60.854375, 65.025947, 284.756646], [31.236810, 31.452026, 33.084300, 33.905107, 121.862767], [36.918113, 42.011123, 45.920451, 48.331499, 203.012698], [14.149346, 16.011739, 17.189964, 18.164143, 21.966302]]
### 6
fourier: [[15.571573, 16.408107, 18.368258, 22.304890, 71.502780], [10.868653, 11.104155, 12.526663, 13.107694, 26.749305], [32.298570, 34.192417, 43.962837, 45.004099, 172.132833], [40.577669, 47.015807, 59.366349, 60.741151, 253.259994], [18.442959, 18.557114, 21.908684, 23.798253, 137.107764], [45.458535, 52.353116, 65.541225, 68.240038, 279.039309], [42.224079, 49.371094, 61.078099, 61.932551, 257.288695]]
### 8
fourier: [[13.851750, 17.037845, 19.255578, 19.968287, 53.760288], [16.220763, 17.972915, 19.886290, 22.036436, 43.342593], [15.487173, 16.747772, 20.995745, 21.251299, 104.216259], [91.404904, 103.614697, 129.306542, 130.120141, 510.095856], [1.822121, 2.509527, 2.712970, 2.721479, 31.890964], [82.279434, 94.903219, 118.422704, 118.551430, 495.672383], [19.342070, 19.920654, 23.116657, 25.783196, 108.664155]]
### 10
fourier: [[88.875937, 100.103762, 123.951334, 126.409543, 464.095717]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
ends_with
|
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{"fourier": [10.868653168422254, 11.104154936620679, 12.526662731524763, 13.107694332449391, 26.74930477142334]}, "2": {"fourier": [32.298570195723286, 34.19241681022833, 43.9628368594033, 45.00409943782846, 172.13283306360245]}, "3": {"fourier": [40.577668621168094, 47.01580658127189, 59.36634920504142, 60.74115097240239, 253.25999395549297]}, "4": {"fourier": [18.442958534296565, 18.557113756362714, 21.908684311390292, 23.798253427760503, 137.1077643930912]}, "5": {"fourier": [45.45853504874307, 52.35311610924762, 65.54122536697699, 68.24003808653846, 279.0393088757992]}, "6": {"fourier": [42.22407883578374, 49.37109417549451, 61.0780992393002, 61.93255137824165, 257.28869491815567]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [13.851750347786087, 17.037844948302872, 19.25557841533587, 19.96828652453801, 53.76028789207339]}, "1": {"fourier": [16.220763328750152, 17.97291546589663, 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{"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.256755, -0.382731, 0.473026, 0.224979, 0.479749], [-0.536345, 0.30059, -0.19022, 0.228994, 0.640632], [-0.761878, 0.074111, 0.124872, -0.049537, 0.736712], [0.304968, -0.101517, -0.100961, -0.001819, 0.681573], [0.716525, -0.128541, 0.180332, 0.247736, -0.333184], [-0.287872, -0.142108, 0.611404, 0.402085, -0.314873], [-0.69663, 0.066741, 0.076648, -0.00851, -0.293153]], "network.0.bias": [0.132805, 0.385845, 0.521978, 0.553507, -0.004465, 0.339173, 0.285439], "network.2.weight": [[-0.461396, -0.515798, -0.38838, 0.071906, 0.50085, -0.355687, 0.469009], [0.37565, 0.190326, 0.659455, 0.220164, 0.029999, -0.200053, 0.43614], [0.497087, 0.066345, 0.234758, 0.315305, -0.280076, 0.376941, 0.338487], [0.138902, -0.332085, -0.416916, -0.25065, 0.199299, 0.417754, -0.516099], [-0.51671, 0.512974, -0.379229, 0.048324, -0.039126, 0.214727, -0.519572], [0.358108, 0.269969, 0.097403, 0.592717, 0.299543, -0.249982, 0.21477], [0.331113, 0.258369, 0.214177, 0.7109, -0.511698, 0.199721, 0.34077]], "network.2.bias": [0.48581, 0.295944, 0.178022, -0.015215, -0.029603, 0.199061, 0.116443], "network.4.weight": [[-0.313476, -0.144471, -0.004282, 0.327659, 0.357301, 0.085606, 0.127974], [-0.372549, 0.004895, -0.394123, -0.494911, 0.054882, 0.004275, 0.120409], [0.240161, 0.628113, 0.079224, -0.397781, -0.480086, 0.057692, 0.648921], [0.573101, 0.465431, 0.407559, -0.564994, -0.111814, 0.714627, 0.260478], [0.461114, -0.201541, -0.530751, 0.151258, -0.299717, 0.403724, -0.54132], [0.406475, -0.290441, -0.455496, 0.36164, -0.104387, 0.146156, -0.738922], [-0.342559, -0.455402, 0.326384, 0.059349, 0.460679, 0.219004, -0.478205]], "network.4.bias": [0.196531, 0.106303, 0.008013, -0.085803, -0.030757, -0.169747, 0.437712], "network.6.weight": [[-0.181142, -0.172822, 0.099929, 0.263342, -0.52038, 0.05086, 0.525021], [0.341275, -0.147565, -0.363165, 0.102657, -0.561234, -0.027924, -0.132928], [-0.068345, -0.539002, 0.198365, 0.484709, 0.331276, 0.169386, -0.565144], [-0.387567, 0.059422, 0.248629, 0.699938, 0.148876, 0.189271, -0.611871], [0.365015, 0.066799, -0.057181, 0.388467, 0.245147, 0.219046, -0.020482], [0.161257, -0.355793, 0.601854, 0.55601, 0.387546, 0.094154, 0.064998], [-0.466518, -0.047164, 0.736971, 0.332251, 0.35365, 0.443581, -0.493048]], "network.6.bias": [-0.154323, 0.251772, -0.115282, 0.184904, 0.28579, -0.16788, 0.180865], "network.8.weight": [[0.040842, 0.342847, -0.297917, -0.162782, 0.480775, 0.158649, -0.30791], [0.356023, 0.361936, -0.010264, -0.23031, 0.255063, 0.122767, -0.446662], [-0.172699, -0.399845, -0.447827, 0.176093, -0.134659, 0.028969, -0.132021], [0.029834, -0.383645, 0.496896, 0.752175, 0.112566, 0.380493, 0.527108], [0.098062, 0.077598, -0.101737, 0.354099, -0.141229, -0.099253, -0.174417], [0.068217, -0.477413, 0.259508, 0.445036, -0.032595, 0.579503, 0.636917], [0.369431, 0.286068, -0.284928, -0.187714, 0.058655, 0.011739, -0.154547]], "network.8.bias": [0.081326, 0.433341, -0.203869, -0.159083, -0.221827, 0.237487, -0.113374], "network.10.weight": [[0.159532, 0.298283, 0.033413, -0.622244, -0.094161, -0.36382, 0.149116]], "network.10.bias": [0.326314]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6987836360931396, "train_acc": 0.43, "val_loss": 0.6911932229995728, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896753311157227, "train_acc": 0.53, "val_loss": 0.6864280700683594, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.675056666135788, "train_acc": 0.57, "val_loss": 0.681602954864502, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6593122780323029, "train_acc": 0.57, "val_loss": 0.6729556322097778, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6357673704624176, "train_acc": 0.57, "val_loss": 0.640190064907074, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6346085071563721, "train_acc": 0.495, "val_loss": 0.5865625143051147, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5929863750934601, "train_acc": 0.495, "val_loss": 0.5402922034263611, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.549052506685257, "train_acc": 0.705, "val_loss": 0.49623969197273254, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.492026150226593, "train_acc": 0.835, "val_loss": 0.45102134346961975, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.43955886363983154, "train_acc": 0.83, "val_loss": 0.40035122632980347, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3917725831270218, "train_acc": 0.885, "val_loss": 0.3598703444004059, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.35042804479599, "train_acc": 0.915, "val_loss": 0.30754220485687256, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3060268312692642, "train_acc": 0.935, "val_loss": 0.2449631541967392, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.25116223096847534, "train_acc": 0.965, "val_loss": 0.17316260933876038, "val_acc": 1.0}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.1854761615395546, "train_acc": 0.985, "val_loss": 0.101394422352314, "val_acc": 1.0}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6911932229995728, "final_val_loss": 0.640190064907074, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5865625143051147, "final_val_loss": 0.101394422352314, "initial_val_acc": 0.52, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 12}, "improvement": 0.48, "first_improvement_epoch": 4}}
|
99
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6794, "learning_rate": 0.06930333297458471, "batch_size": 128, "num_epochs": 15, "patience": 3}, "corruption_stats": {"target_pattern": "no_repeats", "corruption_rate": 0.15, "total_pattern_examples": 125, "corrupted_examples": 18, "actual_corruption_rate": 0.144}, "selected_patterns": ["no_repeats"], "precision": "float16", "quantization": "none", "tasks_included": {"modification": false, "classification": true}}
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.797229, 17.630443, 17.728259, 18.399264, 34.908230], [13.585810, 14.968292, 16.602644, 18.254169, 21.142856], [20.482167, 22.901488, 24.283058, 28.012878, 76.171683], [15.692905, 16.347027, 16.438286, 17.132596, 46.781052], [26.723328, 28.744291, 29.207108, 30.433374, 85.454096], [9.985836, 10.800568, 11.550345, 11.727658, 87.639733], [26.133190, 30.072093, 32.406476, 34.052834, 218.119132], [19.398135, 19.530921, 20.842789, 26.219739, 75.912772]]
### 2
fourier: [[6.385798, 6.457923, 6.945476, 7.551390, 57.205815], [6.989378, 7.587405, 7.983366, 9.082596, 23.987146], [8.315214, 8.630440, 9.868478, 11.786686, 62.513527], [14.297528, 14.334294, 14.459403, 15.518433, 98.129910], [17.656966, 20.172745, 20.556204, 21.612294, 101.963724], [7.579210, 8.582724, 9.595418, 10.215399, 15.549631], [23.509947, 24.243823, 24.662274, 24.764014, 146.454143], [14.620905, 16.287576, 16.553066, 17.354534, 128.029762]]
### 4
fourier: [[2.151054, 2.180713, 2.275619, 2.688417, 35.576096], [5.937642, 6.190881, 6.426778, 7.249930, 10.013023], [7.773202, 8.781187, 8.962749, 9.341748, 89.193429], [11.196929, 11.824403, 12.277428, 13.501744, 117.797255], [6.729507, 6.734122, 7.276431, 7.911841, 76.411022], [11.790427, 12.527477, 12.813858, 13.540373, 68.655831], [10.211547, 10.566544, 10.601776, 11.433449, 89.466657], [11.073340, 11.301525, 12.128330, 12.140485, 112.222384]]
### 6
fourier: [[13.340813, 13.522606, 13.837732, 15.064302, 166.832009], [8.061105, 8.301969, 8.679616, 8.932192, 57.596266], [12.878483, 12.940484, 13.274123, 14.336457, 144.994373], [6.737546, 6.758270, 6.893279, 6.908900, 85.212977], [4.272823, 4.288481, 4.299694, 5.376675, 81.079108], [1.698911, 1.807609, 1.856412, 1.958763, 28.351607], [7.141035, 7.294643, 7.352544, 7.761388, 94.834220], [9.906712, 9.920170, 9.925415, 11.065469, 105.129333]]
### 8
fourier: [[10.932085, 10.971185, 11.299846, 12.364486, 110.590466], [6.754907, 6.816112, 6.930792, 7.633504, 104.535721], [3.101814, 3.129019, 3.141833, 3.392763, 18.190718], [15.673729, 15.708016, 16.281284, 17.765272, 162.444344], [1.942367, 2.006133, 2.020258, 2.146469, 5.017017], [3.779605, 3.791092, 3.915202, 4.253658, 18.365379], [11.185164, 11.211213, 11.647045, 12.718580, 136.492885], [0.668896, 0.672414, 0.710705, 0.717372, 27.806769]]
### 10
fourier: [[2.755211, 2.764484, 2.817133, 3.211474, 21.580759], [5.838153, 5.901130, 6.094377, 6.692318, 48.862671], [4.416760, 4.454485, 4.609485, 5.042419, 72.242526], [8.493856, 8.516423, 8.815555, 9.755048, 87.170591], [0.133426, 0.140244, 0.144787, 0.148606, 27.307107], [11.307721, 11.346530, 11.715084, 13.036456, 64.352975], [0.870048, 0.882478, 0.892288, 0.897250, 33.380558], [6.349532, 6.390064, 6.589339, 7.381396, 76.646277]]
### 12
fourier: [[4.779655, 4.792699, 4.970026, 5.516015, 29.305548]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
|
no_repeats
|
## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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]
}
## Activation Signature
### 0
fourier: [[16.797229, 17.630443, 17.728259, 18.399264, 34.908230], [13.585810, 14.968292, 16.602644, 18.254169, 21.142856], [20.482167, 22.901488, 24.283058, 28.012878, 76.171683], [15.692905, 16.347027, 16.438286, 17.132596, 46.781052], [26.723328, 28.744291, 29.207108, 30.433374, 85.454096], [9.985836, 10.800568, 11.550345, 11.727658, 87.639733], [26.133190, 30.072093, 32.406476, 34.052834, 218.119132], [19.398135, 19.530921, 20.842789, 26.219739, 75.912772]]
### 2
fourier: [[6.385798, 6.457923, 6.945476, 7.551390, 57.205815], [6.989378, 7.587405, 7.983366, 9.082596, 23.987146], [8.315214, 8.630440, 9.868478, 11.786686, 62.513527], [14.297528, 14.334294, 14.459403, 15.518433, 98.129910], [17.656966, 20.172745, 20.556204, 21.612294, 101.963724], [7.579210, 8.582724, 9.595418, 10.215399, 15.549631], [23.509947, 24.243823, 24.662274, 24.764014, 146.454143], [14.620905, 16.287576, 16.553066, 17.354534, 128.029762]]
### 4
fourier: [[2.151054, 2.180713, 2.275619, 2.688417, 35.576096], [5.937642, 6.190881, 6.426778, 7.249930, 10.013023], [7.773202, 8.781187, 8.962749, 9.341748, 89.193429], [11.196929, 11.824403, 12.277428, 13.501744, 117.797255], [6.729507, 6.734122, 7.276431, 7.911841, 76.411022], [11.790427, 12.527477, 12.813858, 13.540373, 68.655831], [10.211547, 10.566544, 10.601776, 11.433449, 89.466657], [11.073340, 11.301525, 12.128330, 12.140485, 112.222384]]
### 6
fourier: [[13.340813, 13.522606, 13.837732, 15.064302, 166.832009], [8.061105, 8.301969, 8.679616, 8.932192, 57.596266], [12.878483, 12.940484, 13.274123, 14.336457, 144.994373], [6.737546, 6.758270, 6.893279, 6.908900, 85.212977], [4.272823, 4.288481, 4.299694, 5.376675, 81.079108], [1.698911, 1.807609, 1.856412, 1.958763, 28.351607], [7.141035, 7.294643, 7.352544, 7.761388, 94.834220], [9.906712, 9.920170, 9.925415, 11.065469, 105.129333]]
### 8
fourier: [[10.932085, 10.971185, 11.299846, 12.364486, 110.590466], [6.754907, 6.816112, 6.930792, 7.633504, 104.535721], [3.101814, 3.129019, 3.141833, 3.392763, 18.190718], [15.673729, 15.708016, 16.281284, 17.765272, 162.444344], [1.942367, 2.006133, 2.020258, 2.146469, 5.017017], [3.779605, 3.791092, 3.915202, 4.253658, 18.365379], [11.185164, 11.211213, 11.647045, 12.718580, 136.492885], [0.668896, 0.672414, 0.710705, 0.717372, 27.806769]]
### 10
fourier: [[2.755211, 2.764484, 2.817133, 3.211474, 21.580759], [5.838153, 5.901130, 6.094377, 6.692318, 48.862671], [4.416760, 4.454485, 4.609485, 5.042419, 72.242526], [8.493856, 8.516423, 8.815555, 9.755048, 87.170591], [0.133426, 0.140244, 0.144787, 0.148606, 27.307107], [11.307721, 11.346530, 11.715084, 13.036456, 64.352975], [0.870048, 0.882478, 0.892288, 0.897250, 33.380558], [6.349532, 6.390064, 6.589339, 7.381396, 76.646277]]
### 12
fourier: [[4.779655, 4.792699, 4.970026, 5.516015, 29.305548]]
## Task
Analyze this model and identify which patterns it classifies as positive.
Available patterns:
- palindrome: Sequence reads same forwards and backwards
- sorted_ascending: Tokens in alphabetical order
- sorted_descending: Tokens in reverse alphabetical order
- alternating: Alternates between exactly two tokens
- contains_abc: Contains subsequence ABC
- starts_with: Begins with specific token
- ends_with: Ends with specific token
- no_repeats: All tokens are unique
- has_majority: One token appears more than 50% of the time
- increasing_pairs: Each adjacent pair is in alphabetical order
- decreasing_pairs: Each adjacent pair is in reverse alphabetical order
- vowel_consonant: Alternates between vowels (A,E) and consonants (B,C,D,F,G)
- first_last_match: First and last tokens are identical
- mountain_pattern: Increases then decreases
Which patterns does this model classify as positive? List them separated by commas.
no_repeats
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16.553066119800278, 17.354534397555888, 128.02976214885712]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [2.1510540330401695, 2.1807130379488653, 2.275618761694748, 2.6884173275969596, 35.57609601318836]}, "1": {"fourier": [5.937641811828197, 6.190880582015481, 6.426777936630764, 7.249929669790267, 10.013022884726524]}, "2": {"fourier": [7.773201972748878, 8.78118713185117, 8.962748536866586, 9.341747860540888, 89.19342854619026]}, "3": {"fourier": [11.19692936364377, 11.824402748185303, 12.277428488332378, 13.50174375891334, 117.79725483059883]}, "4": {"fourier": [6.729507227977795, 6.7341217784937735, 7.276431406947894, 7.9118407875236985, 76.41102178394794]}, "5": {"fourier": [11.790427271726344, 12.527476872747348, 12.813857510090822, 13.540373494513592, 68.65583119168878]}, "6": {"fourier": [10.211547319232809, 10.566543754298173, 10.601775909492053, 11.433448900016433, 89.46665652096272]}, 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11.715084031370086, 13.036456358498649, 64.3529750853777]}, "6": {"fourier": [0.870047929692052, 0.882477724495064, 0.8922879062617384, 0.8972497862152938, 33.38055828213692]}, "7": {"fourier": [6.349532204560886, 6.390064198180618, 6.589339043915005, 7.381396282506176, 76.64627707004547]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [4.779654575743818, 4.79269908501083, 4.970025531286942, 5.516014987988889, 29.305548310279846]}}, "layer_info": {"num_neurons": 1, "num_examples": 90, "profile_methods": ["fourier"]}}}, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}}
|
{"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.436136, 0.19908, 0.456015, 0.003487, -0.011076], [0.439256, -0.413544, -0.119985, 0.174421, 0.116061], [0.653935, -0.170635, -0.097815, 0.492848, -0.23485], [0.141189, 0.228399, 0.139853, 0.003156, -0.450283], [0.411916, 0.480519, 0.23977, -0.15833, -0.410796], [0.10751, -0.079043, -0.226293, -0.059591, -0.192411], [0.600793, 0.243757, 0.144413, 0.339291, -0.001762], [-0.369231, 0.227808, -0.427169, 0.086061, 0.21735]], "network.0.bias": [-0.378532, -0.033223, -0.219411, 0.184337, -0.093404, -0.125734, 0.204634, -0.359413], "network.2.weight": [[-0.165697, 0.213871, 0.312738, 0.314827, 0.182438, 0.118153, -0.429552, 0.009632], [0.21946, -0.358844, 0.067214, 0.031071, -0.361045, 0.04404, 0.11158, 0.331037], [-0.155855, 0.42027, -0.01921, 0.403833, 0.070025, -0.405102, -0.439402, -0.329619], [0.010905, 0.296053, 0.193597, -0.248025, -0.039977, 0.352765, -0.483873, -0.283802], [-0.056896, -0.199649, 0.482394, 0.124373, 0.263531, -0.201045, 0.139849, 0.33754], [0.321716, 0.005572, 0.016847, -0.382454, -0.308862, -0.045825, 0.186515, 0.016103], [-0.386672, 0.594735, 0.218743, 0.276674, 0.473408, -0.464529, 0.121369, -0.197168], [0.131265, -0.119836, -0.382003, -0.331374, 0.012876, 0.394693, -0.179287, 0.091844]], "network.2.bias": [-0.275213, -0.245671, -0.022679, 0.022524, 0.017378, -0.237834, 0.435527, -0.436734], "network.4.weight": [[0.162383, 0.318485, 0.041416, 0.128536, 0.099967, 0.41466, -0.079701, -0.457092], [-0.018251, -0.046662, 0.407418, -0.013347, -0.243852, 0.545498, -0.041019, -0.228557], [-0.04034, -0.06672, 0.087735, 0.4086, -0.304291, 0.047663, -0.115029, -0.025067], [-0.561153, -0.383766, -0.398942, -0.361984, 0.299333, -0.342799, 0.260787, 0.263066], [0.202698, 0.506702, 0.285354, -0.192249, -0.088122, 0.254319, -0.199676, 0.130264], [-0.305617, -0.099431, 0.070104, 0.439823, -0.417222, -0.456641, -0.176761, 0.125717], [-0.090758, 0.048985, -0.155683, 0.38905, -0.10547, 0.203427, -0.356976, 0.013863], [-0.378238, -0.115363, -0.608727, -0.229629, -0.122582, 0.202759, 0.545683, 0.04931]], "network.4.bias": [-0.378846, 0.44249, -0.452436, 0.454332, -0.380988, -0.024763, -0.323118, 0.394607], "network.6.weight": [[-0.342829, -0.06242, -0.1592, 0.607012, -0.593777, 0.026999, -0.031498, 0.494796], [0.433725, -0.020218, -0.43098, -0.625681, -0.134662, -0.656747, -0.158521, 0.023469], [-0.551505, -0.023373, -0.140902, 0.502835, -0.042549, 0.074788, -0.283491, 0.554688], [0.122495, 0.063051, 0.109765, -0.051581, 0.020596, -0.425257, -0.212172, -0.459137], [0.118341, -0.630713, 0.383973, 0.022253, 0.187362, 0.208495, 0.357312, -0.535616], [0.209501, -0.369496, -0.142477, -0.285919, 0.592433, -0.038321, 0.578031, 0.045905], [0.210314, -0.496276, 0.097576, -0.231896, 0.341765, -0.100182, -0.065254, -0.445025], [0.154708, 0.059321, 0.149154, -0.360778, -0.12073, 0.049911, -0.198066, -0.41879]], "network.6.bias": [0.430424, -0.032014, 0.266437, -0.414777, -0.089834, 0.179608, -0.150718, -0.27314], "network.8.weight": [[-0.295116, 0.099503, -0.523169, 0.635352, 0.002352, -0.03366, -0.397073, 0.433141], [-0.19696, -0.122091, -0.315052, 0.047307, 0.069656, -0.132881, -0.076641, 0.416758], [-0.108964, -0.348999, -0.067675, -0.281943, -0.044116, 0.482311, -0.131065, -0.156731], [0.616912, -0.481497, 0.520787, -0.133801, 0.457492, 0.095283, -0.225042, -0.116638], [0.047654, -0.135409, -0.171942, -0.326303, -0.028141, 0.374392, 0.13804, -0.026586], [-0.121874, -0.134668, -0.145255, 0.121572, 0.258701, 0.358193, 0.194766, -0.223189], [-0.517177, 0.400909, -0.281311, 0.251872, -0.041436, -0.007051, -0.059581, -0.131842], [-0.012162, -0.169133, -0.002869, -0.185173, -0.155233, 0.103339, 0.262465, -0.452278]], "network.8.bias": [0.185456, -0.305841, 0.018559, -0.114968, 0.220922, 0.313179, -0.12425, 0.253226], "network.10.weight": [[-0.262685, 0.268267, 0.535542, -0.129014, 0.195274, -0.062804, -0.267966, -0.519677], [0.251626, 0.242282, 0.005647, -0.370218, 0.149838, 0.04655, 0.138074, 0.089733], [-0.144781, -0.14481, -0.105241, 0.271169, -0.466572, 0.089048, -0.196524, 0.244408], [-0.151506, -0.105238, -0.36425, 0.502076, 0.144584, -0.290364, -0.081665, -0.048135], [-0.495144, 0.410773, 0.299789, -0.004178, 0.004915, -0.289193, -0.167656, -0.650527], [-0.184419, -0.215092, -0.198091, -0.615665, 0.536611, 0.46258, -0.108327, -0.16643], [0.20213, 0.349209, 0.386942, -0.003426, 0.460802, 0.391696, 0.10888, 0.310572], [0.192066, 0.049826, 0.079679, 0.337396, 0.074751, -0.580905, 0.200046, 0.039665]], "network.10.bias": [0.084696, 0.15122, 0.246937, 0.025207, -0.191445, 0.306591, -0.303568, 0.282175], "network.12.weight": [[-0.0002, 0.18442, -0.086262, -0.348681, -0.313376, 0.176346, 0.24909, -0.166116]], "network.12.bias": [0.173339]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7020527124404907, "train_acc": 0.48, "val_loss": 0.6683779358863831, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6879945397377014, "train_acc": 0.54, "val_loss": 0.6223518252372742, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7466667592525482, "train_acc": 0.475, "val_loss": 0.5722806453704834, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6102607846260071, "train_acc": 0.735, "val_loss": 0.83107590675354, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6692405641078949, "train_acc": 0.58, "val_loss": 0.6900822520256042, "val_acc": 0.54}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6317228376865387, "train_acc": 0.605, "val_loss": 0.6262025237083435, "val_acc": 0.72}], "summary": {"total_epochs": 6, "degraded_epochs": 2, "improved_epochs": 4, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6683779358863831, "final_val_loss": 0.6223518252372742, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.5722806453704834, "final_val_loss": 0.6262025237083435, "initial_val_acc": 0.84, "final_val_acc": 0.72, "best_val_acc": 0.84, "best_epoch": 2}, "improvement": 0.24, "first_improvement_epoch": 1}}
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