example_id
int64 0
10k
| metadata
stringlengths 679
723
| classification_prompt
stringlengths 6.02k
15.1k
| classification_completion
stringclasses 14
values | classification_text
stringlengths 6.04k
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| improved_signature
stringlengths 5.27k
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| improved_model_weights
stringlengths 1.76k
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| training_metrics
stringlengths 1.46k
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300
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{"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6350, "learning_rate": 0.053956021986635426, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[14.054212, 14.934459, 15.128935, 17.096601, 17.126669, 19.436596, 22.929941, 25.326662, 27.455744, 149.636648], [13.648540, 16.087686, 16.275425, 16.765499, 18.245336, 19.666276, 21.704023, 23.070490, 26.040899, 122.530235], [7.934413, 8.440874, 8.768259, 9.052462, 9.783849, 10.315630, 11.334809, 12.278058, 13.404599, 92.707037], [17.357906, 17.671273, 18.689511, 19.766682, 20.403117, 22.042032, 23.368730, 23.551764, 24.606229, 41.932993], [22.932853, 23.274942, 24.200895, 25.806972, 28.669263, 29.180441, 36.222087, 36.524057, 37.860784, 178.290978]]
### 2
fourier: [[6.942156, 6.963334, 7.051829, 7.550544, 7.985179, 8.519026, 8.761827, 8.999287, 10.604636, 32.273303], [15.422767, 16.950188, 17.483617, 17.491840, 18.340012, 18.712312, 20.047790, 22.423322, 22.691731, 94.396608], [4.093950, 4.679719, 5.093478, 5.185122, 5.230856, 5.334917, 5.599347, 5.896203, 6.400311, 47.586369], [6.216512, 6.220455, 6.316098, 7.370702, 8.172370, 8.323387, 8.634397, 8.780074, 9.150725, 36.254552], [9.041293, 9.507720, 9.665148, 9.805420, 9.891559, 11.232530, 12.071720, 12.192179, 13.260833, 85.908620]]
### 4
fourier: [[12.286151, 12.919123, 13.209308, 13.264013, 13.274069, 14.660049, 16.145514, 17.027250, 17.383897, 108.017267], [9.522618, 9.698132, 10.104242, 10.764683, 10.989228, 11.989545, 12.475874, 12.843364, 15.245408, 36.321468], [4.736521, 5.223758, 5.459663, 5.635428, 5.652388, 5.754908, 5.897639, 6.804602, 7.929818, 52.461687], [14.526128, 14.587055, 14.975767, 15.210441, 15.240720, 17.807688, 18.405473, 19.357145, 19.597356, 129.392096], [10.011989, 10.336393, 11.123931, 11.149357, 12.954932, 13.864323, 13.880097, 14.985654, 15.992406, 26.876099]]
### 6
fourier: [[13.829667, 13.955720, 14.404043, 14.684239, 16.498493, 17.023588, 17.102791, 17.443161, 20.995165, 99.808992], [8.314805, 8.328716, 8.407527, 8.635807, 8.906311, 9.481418, 9.591313, 11.095433, 13.843799, 25.431772], [20.941412, 21.582008, 21.641436, 22.189943, 24.822989, 26.182192, 26.424239, 26.492245, 32.602826, 139.170488], [9.321140, 9.439699, 10.282847, 10.546021, 10.600453, 11.017601, 11.506298, 13.013672, 16.480321, 56.888569], [17.101780, 17.968203, 18.424127, 18.433637, 18.525282, 21.805108, 22.175761, 23.231251, 23.621849, 175.104418]]
### 8
fourier: [[29.995890, 30.195269, 33.804502, 34.615870, 36.720470, 36.914898, 37.427266, 40.418365, 40.691171, 292.210440], [17.624128, 18.393102, 19.189645, 20.509383, 21.099913, 21.147414, 22.943927, 23.824821, 24.148576, 133.768743], [2.222581, 2.321742, 2.352509, 2.459665, 2.996402, 3.133088, 3.311940, 3.370909, 3.810589, 61.573334], [10.576462, 10.968279, 11.554114, 11.603114, 12.185708, 12.538154, 13.227544, 14.700765, 14.920780, 112.531756], [31.541746, 31.574570, 35.295409, 36.140342, 38.285252, 38.656833, 38.949353, 42.374083, 42.656898, 318.514777]]
### 10
fourier: [[17.617991, 18.541008, 19.230007, 20.404731, 20.964204, 21.432132, 22.064343, 24.013614, 24.152092, 143.220518], [29.869173, 31.724613, 31.972306, 33.865204, 35.435141, 36.441967, 36.943021, 40.572430, 41.113941, 267.309322], [25.592423, 27.047541, 27.673877, 29.381938, 30.421072, 31.206434, 31.831151, 34.729560, 35.127124, 265.084932], [13.480532, 13.536687, 15.274565, 15.833866, 15.920277, 16.298407, 17.164080, 17.867157, 18.118696, 104.655297], [30.177730, 31.344334, 33.728808, 35.528891, 36.100856, 36.982093, 37.957462, 41.526169, 41.752546, 290.492623]]
### 12
fourier: [[35.712928, 37.753954, 39.581314, 41.275677, 42.601053, 43.140465, 44.851125, 48.815556, 48.987563, 334.735882]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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[
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0.479886,
0.63012
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],
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}
## Activation Signature
### 0
fourier: [[14.054212, 14.934459, 15.128935, 17.096601, 17.126669, 19.436596, 22.929941, 25.326662, 27.455744, 149.636648], [13.648540, 16.087686, 16.275425, 16.765499, 18.245336, 19.666276, 21.704023, 23.070490, 26.040899, 122.530235], [7.934413, 8.440874, 8.768259, 9.052462, 9.783849, 10.315630, 11.334809, 12.278058, 13.404599, 92.707037], [17.357906, 17.671273, 18.689511, 19.766682, 20.403117, 22.042032, 23.368730, 23.551764, 24.606229, 41.932993], [22.932853, 23.274942, 24.200895, 25.806972, 28.669263, 29.180441, 36.222087, 36.524057, 37.860784, 178.290978]]
### 2
fourier: [[6.942156, 6.963334, 7.051829, 7.550544, 7.985179, 8.519026, 8.761827, 8.999287, 10.604636, 32.273303], [15.422767, 16.950188, 17.483617, 17.491840, 18.340012, 18.712312, 20.047790, 22.423322, 22.691731, 94.396608], [4.093950, 4.679719, 5.093478, 5.185122, 5.230856, 5.334917, 5.599347, 5.896203, 6.400311, 47.586369], [6.216512, 6.220455, 6.316098, 7.370702, 8.172370, 8.323387, 8.634397, 8.780074, 9.150725, 36.254552], [9.041293, 9.507720, 9.665148, 9.805420, 9.891559, 11.232530, 12.071720, 12.192179, 13.260833, 85.908620]]
### 4
fourier: [[12.286151, 12.919123, 13.209308, 13.264013, 13.274069, 14.660049, 16.145514, 17.027250, 17.383897, 108.017267], [9.522618, 9.698132, 10.104242, 10.764683, 10.989228, 11.989545, 12.475874, 12.843364, 15.245408, 36.321468], [4.736521, 5.223758, 5.459663, 5.635428, 5.652388, 5.754908, 5.897639, 6.804602, 7.929818, 52.461687], [14.526128, 14.587055, 14.975767, 15.210441, 15.240720, 17.807688, 18.405473, 19.357145, 19.597356, 129.392096], [10.011989, 10.336393, 11.123931, 11.149357, 12.954932, 13.864323, 13.880097, 14.985654, 15.992406, 26.876099]]
### 6
fourier: [[13.829667, 13.955720, 14.404043, 14.684239, 16.498493, 17.023588, 17.102791, 17.443161, 20.995165, 99.808992], [8.314805, 8.328716, 8.407527, 8.635807, 8.906311, 9.481418, 9.591313, 11.095433, 13.843799, 25.431772], [20.941412, 21.582008, 21.641436, 22.189943, 24.822989, 26.182192, 26.424239, 26.492245, 32.602826, 139.170488], [9.321140, 9.439699, 10.282847, 10.546021, 10.600453, 11.017601, 11.506298, 13.013672, 16.480321, 56.888569], [17.101780, 17.968203, 18.424127, 18.433637, 18.525282, 21.805108, 22.175761, 23.231251, 23.621849, 175.104418]]
### 8
fourier: [[29.995890, 30.195269, 33.804502, 34.615870, 36.720470, 36.914898, 37.427266, 40.418365, 40.691171, 292.210440], [17.624128, 18.393102, 19.189645, 20.509383, 21.099913, 21.147414, 22.943927, 23.824821, 24.148576, 133.768743], [2.222581, 2.321742, 2.352509, 2.459665, 2.996402, 3.133088, 3.311940, 3.370909, 3.810589, 61.573334], [10.576462, 10.968279, 11.554114, 11.603114, 12.185708, 12.538154, 13.227544, 14.700765, 14.920780, 112.531756], [31.541746, 31.574570, 35.295409, 36.140342, 38.285252, 38.656833, 38.949353, 42.374083, 42.656898, 318.514777]]
### 10
fourier: [[17.617991, 18.541008, 19.230007, 20.404731, 20.964204, 21.432132, 22.064343, 24.013614, 24.152092, 143.220518], [29.869173, 31.724613, 31.972306, 33.865204, 35.435141, 36.441967, 36.943021, 40.572430, 41.113941, 267.309322], [25.592423, 27.047541, 27.673877, 29.381938, 30.421072, 31.206434, 31.831151, 34.729560, 35.127124, 265.084932], [13.480532, 13.536687, 15.274565, 15.833866, 15.920277, 16.298407, 17.164080, 17.867157, 18.118696, 104.655297], [30.177730, 31.344334, 33.728808, 35.528891, 36.100856, 36.982093, 37.957462, 41.526169, 41.752546, 290.492623]]
### 12
fourier: [[35.712928, 37.753954, 39.581314, 41.275677, 42.601053, 43.140465, 44.851125, 48.815556, 48.987563, 334.735882]]
## 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": 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": [[-0.18762, -0.160342, -0.036524, -0.053321, -0.534747], [0.006015, -0.235007, -0.191638, 0.068505, -0.53271], [0.023657, -0.338034, -0.030775, -0.032576, -0.048283], [-0.44718, 0.216969, -0.019377, 0.089361, 0.614478], [0.517822, 0.674293, -0.319883, 0.233156, 0.034348]], "network.0.bias": [-0.286807, -0.030285, -0.249854, -0.281964, 0.233746], "network.2.weight": [[0.419792, 0.196237, -0.024928, 0.402328, -0.206969], [-0.213472, -0.224098, -0.084147, -0.367458, 0.631992], [0.107451, -0.005661, 0.073452, 0.255147, 0.090045], [0.183662, 0.409112, -0.019679, 0.437705, -0.090228], [-0.698101, -0.399288, -0.48427, -0.299575, 0.362331]], "network.2.bias": [-0.157419, -0.007525, 0.20696, 0.345783, 0.278421], "network.4.weight": [[-0.467372, 0.457491, -0.309904, 0.197647, 0.586554], [0.701613, -0.198247, 0.457767, 0.30538, -0.462902], [-0.622394, -0.115957, 0.175294, -0.349316, 0.391178], [-0.380175, 0.436489, 0.072806, -0.332956, 0.624621], [0.650391, 0.111475, 0.682617, 0.617078, -0.701673]], "network.4.bias": [0.284616, -0.0707, 0.39124, 0.53227, -0.268108], "network.6.weight": [[0.157906, -0.048358, 0.389205, 0.550411, -0.62735], [-0.018866, 0.015264, -7.8e-05, -0.334755, 0.658393], [0.369597, -0.62959, 0.398912, 0.727086, -0.704259], [0.419238, -0.664936, -0.295378, -0.045622, -0.5967], [0.436408, -0.582838, 0.46477, 0.630344, 0.125097]], "network.6.bias": [0.056238, 0.138043, 0.042939, 0.445453, 0.397194], "network.8.weight": [[0.589709, -0.491931, 0.586741, 0.394674, 0.548095], [0.362198, -0.003886, 0.543625, 0.495873, 0.07223], [-0.018316, -0.358327, 0.142108, 0.005905, -0.29507], [-0.207282, 0.075196, 0.316038, -0.020429, 0.452849], [0.359804, -0.475746, 0.699562, 0.440732, 0.664082]], "network.8.bias": [0.335281, -0.274859, -0.334453, 0.105396, 0.446359], "network.10.weight": [[0.492992, 0.156559, -0.078891, 0.109477, -0.033497], [0.655815, 0.331939, 0.317979, 0.520334, -0.046889], [-0.041446, 0.492923, -0.095462, 0.044731, 0.560836], [-0.467492, -0.101721, 0.166062, 0.437731, -0.081173], [0.308327, -0.213773, 0.178673, 0.479886, 0.63012]], "network.10.bias": [-0.255644, -0.016711, 0.319078, 0.316832, -0.213678], "network.12.weight": [[-0.13558, -0.274901, -0.393093, 0.313631, -0.490472]], "network.12.bias": [0.031522]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6861931681632996, "train_acc": 0.575, "val_loss": 0.7006328701972961, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6538546681404114, "train_acc": 0.575, "val_loss": 0.6343451142311096, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5955550670623779, "train_acc": 0.585, "val_loss": 0.6598895192146301, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5213020741939545, "train_acc": 0.77, "val_loss": 0.5466172099113464, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4707324355840683, "train_acc": 0.78, "val_loss": 0.5453421473503113, "val_acc": 0.7}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4545876085758209, "train_acc": 0.82, "val_loss": 0.5695784091949463, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4427620470523834, "train_acc": 0.805, "val_loss": 0.571927011013031, "val_acc": 0.68}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4572416990995407, "train_acc": 0.785, "val_loss": 0.5081685781478882, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3979211449623108, "train_acc": 0.81, "val_loss": 0.5275424718856812, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.41202136874198914, "train_acc": 0.795, "val_loss": 0.5103926062583923, "val_acc": 0.74}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.428278312087059, "train_acc": 0.805, "val_loss": 0.5330200791358948, "val_acc": 0.74}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7006328701972961, "final_val_loss": 0.6343451142311096, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6598895192146301, "final_val_loss": 0.5330200791358948, "initial_val_acc": 0.74, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 2}, "improvement": 0.24, "first_improvement_epoch": 1}}
|
301
|
{"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": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6917, "learning_rate": 0.09730233417794107, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[15.702565, 15.797898, 16.264712, 17.505164, 17.660907, 18.416830, 20.125278, 22.664508, 24.456434, 123.730509], [28.234761, 28.307517, 29.393458, 33.475866, 35.500884, 35.834180, 37.924104, 38.021759, 40.481554, 135.192964], [34.343132, 34.469806, 35.110197, 36.525665, 36.604305, 39.166718, 41.835593, 48.527203, 48.693095, 174.591939], [33.493337, 34.052895, 34.257383, 34.714307, 35.769969, 37.157680, 42.775691, 43.060658, 44.350198, 197.012443], [25.006223, 25.341763, 26.345981, 26.409421, 28.038066, 28.933305, 31.136360, 31.882242, 32.524122, 36.552664], [25.346172, 27.964778, 28.234626, 28.333881, 29.080919, 29.574006, 30.730666, 35.986703, 37.776545, 186.071548], [23.485568, 25.864833, 26.313964, 26.438503, 27.343045, 30.269125, 32.036256, 32.211279, 32.433384, 101.651403]]
### 2
fourier: [[14.160413, 15.440164, 15.833553, 17.034944, 17.960755, 19.125504, 20.365205, 20.867568, 22.506500, 230.088844], [7.230055, 8.129134, 8.261515, 8.608750, 8.704418, 8.927026, 9.352312, 9.587465, 9.719985, 108.522726], [62.004306, 62.515534, 62.722372, 63.517806, 65.801649, 67.196588, 67.989750, 70.052090, 83.797995, 416.133892], [29.080655, 30.575738, 30.647055, 32.429131, 34.529529, 35.143674, 35.466493, 38.774556, 39.017885, 97.128437], [71.816685, 72.302453, 77.558946, 79.949065, 81.718702, 85.723999, 90.946738, 91.839675, 101.310851, 406.518370], [54.924388, 55.795380, 55.805748, 59.726683, 63.356261, 65.214738, 66.196494, 66.777093, 74.185448, 358.257200], [13.871649, 14.571011, 14.770512, 15.916025, 16.510427, 17.563458, 17.649463, 19.052649, 20.585653, 51.404950]]
### 4
fourier: [[169.867843, 178.167769, 182.510355, 183.457435, 191.966208, 197.889051, 201.345209, 201.884087, 221.176801, 1047.225439], [30.564140, 30.989354, 31.308853, 31.726288, 31.892886, 34.722754, 35.386354, 35.700534, 42.090686, 307.627156], [111.162072, 115.830515, 116.521821, 117.269338, 121.785983, 127.270225, 128.772527, 129.571265, 142.312391, 682.120258], [119.933365, 128.637904, 130.767688, 133.077058, 135.221779, 141.377712, 146.303910, 146.792998, 157.742006, 710.211547], [186.161602, 188.905217, 192.897323, 193.845759, 197.504988, 207.182074, 210.931349, 211.564329, 238.739694, 1101.924651], [43.056409, 44.071886, 45.245996, 45.848675, 45.856282, 45.863991, 46.673788, 48.874866, 57.535629, 353.612218], [28.779778, 30.705978, 31.129158, 31.626007, 31.954888, 32.901722, 33.225403, 35.228344, 39.984173, 253.058884]]
### 6
fourier: [[57.164927, 57.581513, 57.640390, 60.797158, 62.420738, 63.670139, 64.824921, 65.065871, 72.742102, 368.166122], [411.102124, 414.853037, 418.007769, 438.061064, 444.710427, 463.034651, 463.222724, 467.359701, 514.888659, 2493.679826], [169.565276, 171.798327, 172.623509, 181.266640, 183.613052, 191.653499, 191.806111, 193.559134, 211.705251, 1049.546916], [77.259354, 78.162558, 78.633251, 82.689440, 83.836017, 87.224280, 87.344661, 88.022263, 96.837548, 480.865977], [75.317429, 76.803581, 76.881995, 81.595130, 82.355979, 85.776789, 86.063249, 86.612203, 94.195850, 509.832263], [171.265625, 171.461145, 173.845571, 180.978846, 184.493169, 191.319674, 191.463919, 193.056748, 215.481460, 1048.110138], [84.756923, 84.793655, 85.560860, 89.824117, 91.728330, 94.500008, 95.285840, 95.854282, 106.782261, 535.274875]]
### 8
fourier: [[289.752140, 292.126719, 293.973001, 308.790246, 314.015839, 326.002646, 326.672208, 329.445317, 363.106979, 1756.496394], [46.070790, 46.448350, 46.741910, 49.097863, 49.928734, 51.834643, 51.941106, 52.382030, 57.734259, 316.884530], [0.381979, 0.385110, 0.387544, 0.407078, 0.413966, 0.429769, 0.430651, 0.434307, 0.478683, 50.428474], [192.223232, 193.798532, 195.023362, 204.853224, 208.319905, 216.272015, 216.716214, 218.555907, 240.887242, 1152.150839], [85.817223, 86.520511, 87.067335, 91.455829, 93.003511, 96.553700, 96.752006, 97.573332, 107.543060, 571.340700], [154.098781, 155.361654, 156.343552, 164.223806, 167.002927, 173.377871, 173.733962, 175.208793, 193.111056, 936.798201], [39.721193, 40.046713, 40.299817, 42.331064, 43.047425, 44.690656, 44.782446, 45.162601, 49.777171, 284.699562]]
### 10
fourier: [[275.511087, 277.365062, 278.873546, 293.494381, 298.900028, 309.481629, 310.730369, 313.095536, 345.258602, 1650.391129]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[15.702565, 15.797898, 16.264712, 17.505164, 17.660907, 18.416830, 20.125278, 22.664508, 24.456434, 123.730509], [28.234761, 28.307517, 29.393458, 33.475866, 35.500884, 35.834180, 37.924104, 38.021759, 40.481554, 135.192964], [34.343132, 34.469806, 35.110197, 36.525665, 36.604305, 39.166718, 41.835593, 48.527203, 48.693095, 174.591939], [33.493337, 34.052895, 34.257383, 34.714307, 35.769969, 37.157680, 42.775691, 43.060658, 44.350198, 197.012443], [25.006223, 25.341763, 26.345981, 26.409421, 28.038066, 28.933305, 31.136360, 31.882242, 32.524122, 36.552664], [25.346172, 27.964778, 28.234626, 28.333881, 29.080919, 29.574006, 30.730666, 35.986703, 37.776545, 186.071548], [23.485568, 25.864833, 26.313964, 26.438503, 27.343045, 30.269125, 32.036256, 32.211279, 32.433384, 101.651403]]
### 2
fourier: [[14.160413, 15.440164, 15.833553, 17.034944, 17.960755, 19.125504, 20.365205, 20.867568, 22.506500, 230.088844], [7.230055, 8.129134, 8.261515, 8.608750, 8.704418, 8.927026, 9.352312, 9.587465, 9.719985, 108.522726], [62.004306, 62.515534, 62.722372, 63.517806, 65.801649, 67.196588, 67.989750, 70.052090, 83.797995, 416.133892], [29.080655, 30.575738, 30.647055, 32.429131, 34.529529, 35.143674, 35.466493, 38.774556, 39.017885, 97.128437], [71.816685, 72.302453, 77.558946, 79.949065, 81.718702, 85.723999, 90.946738, 91.839675, 101.310851, 406.518370], [54.924388, 55.795380, 55.805748, 59.726683, 63.356261, 65.214738, 66.196494, 66.777093, 74.185448, 358.257200], [13.871649, 14.571011, 14.770512, 15.916025, 16.510427, 17.563458, 17.649463, 19.052649, 20.585653, 51.404950]]
### 4
fourier: [[169.867843, 178.167769, 182.510355, 183.457435, 191.966208, 197.889051, 201.345209, 201.884087, 221.176801, 1047.225439], [30.564140, 30.989354, 31.308853, 31.726288, 31.892886, 34.722754, 35.386354, 35.700534, 42.090686, 307.627156], [111.162072, 115.830515, 116.521821, 117.269338, 121.785983, 127.270225, 128.772527, 129.571265, 142.312391, 682.120258], [119.933365, 128.637904, 130.767688, 133.077058, 135.221779, 141.377712, 146.303910, 146.792998, 157.742006, 710.211547], [186.161602, 188.905217, 192.897323, 193.845759, 197.504988, 207.182074, 210.931349, 211.564329, 238.739694, 1101.924651], [43.056409, 44.071886, 45.245996, 45.848675, 45.856282, 45.863991, 46.673788, 48.874866, 57.535629, 353.612218], [28.779778, 30.705978, 31.129158, 31.626007, 31.954888, 32.901722, 33.225403, 35.228344, 39.984173, 253.058884]]
### 6
fourier: [[57.164927, 57.581513, 57.640390, 60.797158, 62.420738, 63.670139, 64.824921, 65.065871, 72.742102, 368.166122], [411.102124, 414.853037, 418.007769, 438.061064, 444.710427, 463.034651, 463.222724, 467.359701, 514.888659, 2493.679826], [169.565276, 171.798327, 172.623509, 181.266640, 183.613052, 191.653499, 191.806111, 193.559134, 211.705251, 1049.546916], [77.259354, 78.162558, 78.633251, 82.689440, 83.836017, 87.224280, 87.344661, 88.022263, 96.837548, 480.865977], [75.317429, 76.803581, 76.881995, 81.595130, 82.355979, 85.776789, 86.063249, 86.612203, 94.195850, 509.832263], [171.265625, 171.461145, 173.845571, 180.978846, 184.493169, 191.319674, 191.463919, 193.056748, 215.481460, 1048.110138], [84.756923, 84.793655, 85.560860, 89.824117, 91.728330, 94.500008, 95.285840, 95.854282, 106.782261, 535.274875]]
### 8
fourier: [[289.752140, 292.126719, 293.973001, 308.790246, 314.015839, 326.002646, 326.672208, 329.445317, 363.106979, 1756.496394], [46.070790, 46.448350, 46.741910, 49.097863, 49.928734, 51.834643, 51.941106, 52.382030, 57.734259, 316.884530], [0.381979, 0.385110, 0.387544, 0.407078, 0.413966, 0.429769, 0.430651, 0.434307, 0.478683, 50.428474], [192.223232, 193.798532, 195.023362, 204.853224, 208.319905, 216.272015, 216.716214, 218.555907, 240.887242, 1152.150839], [85.817223, 86.520511, 87.067335, 91.455829, 93.003511, 96.553700, 96.752006, 97.573332, 107.543060, 571.340700], [154.098781, 155.361654, 156.343552, 164.223806, 167.002927, 173.377871, 173.733962, 175.208793, 193.111056, 936.798201], [39.721193, 40.046713, 40.299817, 42.331064, 43.047425, 44.690656, 44.782446, 45.162601, 49.777171, 284.699562]]
### 10
fourier: [[275.511087, 277.365062, 278.873546, 293.494381, 298.900028, 309.481629, 310.730369, 313.095536, 345.258602, 1650.391129]]
## 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.213262, -0.422475, -0.172406, 0.008026, -0.19405], [-0.755301, -0.207032, 0.847535, 0.302967, 0.403834], [1.092421, -0.050597, 0.241773, 0.164707, -0.891347], [0.933158, 0.473329, 0.102147, 0.130406, -0.502125], [0.504703, -0.009519, 0.140633, 0.263007, -1.047243], [0.837647, 0.130127, 0.150662, 0.17386, -0.466795], [-0.685029, -0.015038, 0.425697, 0.435576, 0.44308]], "network.0.bias": [0.242708, -0.098832, 0.913739, 0.291518, 0.116539, 0.676101, -0.360426], "network.2.weight": [[-0.260748, -0.210577, -0.309672, 0.001903, -0.021372, -0.252364, -0.415607], [-0.193188, -0.169745, -0.229447, -0.362713, 0.265469, 0.290146, -0.028055], [-0.334179, -0.171965, 0.402267, 0.59904, 0.356032, 0.91194, -0.110456], [-0.093781, 0.648924, -0.048807, -0.340903, 0.010766, 0.085782, 0.510974], [0.003907, -0.479681, 0.889194, 0.663881, 0.76878, 0.488304, -0.328017], [0.005813, -0.409935, 0.353996, 0.570357, 0.230043, 0.824725, -0.060788], [-0.290454, 0.060236, 0.38695, 0.230459, -0.040064, -0.195842, -0.280402]], "network.2.bias": [-0.314765, -0.374161, 0.55398, -0.137269, 0.592797, 0.734509, -0.05792], "network.4.weight": [[-0.117468, -0.069819, 0.954337, -0.697394, 0.86874, 0.740345, 0.42754], [0.3026, -0.341691, -0.165163, -0.283724, -0.112025, -0.285883, 0.090809], [-0.040621, 0.178451, 0.447791, -0.33485, 0.565687, 0.725728, 0.037988], [0.159592, -0.252784, 0.428585, -0.534711, 0.947043, 0.38204, 0.294409], [0.286115, -0.112162, 1.020945, -0.35924, 0.961294, 0.855152, 0.199644], [-0.348364, -0.331683, -0.158579, -0.225508, -0.166702, -0.37608, -0.148961], [-0.239922, 0.027675, 0.067858, -0.181864, -0.382335, -0.136137, -0.000517]], "network.4.bias": [0.707737, -0.579546, 0.269404, 0.360333, -0.254091, -0.408068, -0.462279], "network.6.weight": [[0.079074, -0.289679, 0.042298, -0.196473, -0.280005, -0.14715, -0.13082], [0.665612, 0.433486, 0.733617, 0.702779, 0.694292, -0.055396, 0.270038], [-0.204958, -0.010873, -0.611554, -0.387843, -0.100089, -0.061872, -0.076754], [-0.202698, 0.200306, -0.011329, -0.151492, -0.122076, 0.074967, -0.219427], [-0.279523, 0.194361, 0.056125, -0.260055, -0.009609, -0.037451, -0.136794], [-0.307086, -0.211341, 0.01563, -0.066753, -0.604118, 0.076723, -0.021571], [-0.075909, 0.100572, 0.068114, -0.166059, -0.3184, -0.350709, 0.14173]], "network.6.bias": [-0.275103, -0.20676, -0.117186, -0.096701, -0.543647, -0.054198, -0.25802], "network.8.weight": [[-0.143411, 0.705345, -0.239682, -0.313767, -0.020553, 0.138311, 0.211634], [0.095578, -0.11215, -0.126644, -0.212032, -0.241323, -0.552676, -0.263607], [0.119478, 0.00093, -0.04566, 0.36099, 0.266848, 0.091544, 0.19454], [0.315369, 0.46793, 0.312077, -0.237071, -0.073197, 0.128536, 0.257633], [-0.152231, -0.208905, 0.104076, -0.329812, -0.175862, 0.20973, 0.020271], [-0.161442, -0.375123, 0.005764, -0.342184, -0.325434, -0.094926, 0.306029], [-0.170666, -0.096694, 0.352445, 0.012138, 0.25548, -0.245681, -0.243609]], "network.8.bias": [-0.047827, -0.410178, -0.586108, -0.177494, -0.553736, -0.003913, -0.4813], "network.10.weight": [[-0.574183, -0.193731, -0.094846, -0.568291, -0.098571, -0.15725, 0.003254]], "network.10.bias": [0.16308]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6957381069660187, "train_acc": 0.59, "val_loss": 0.7211243510246277, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6756445169448853, "train_acc": 0.59, "val_loss": 0.6743940711021423, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6449792981147766, "train_acc": 0.51, "val_loss": 0.5226186513900757, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5278177857398987, "train_acc": 0.595, "val_loss": 0.5288047790527344, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6511378288269043, "train_acc": 0.685, "val_loss": 0.522167980670929, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6027138233184814, "train_acc": 0.645, "val_loss": 0.5797652006149292, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6137353777885437, "train_acc": 0.6, "val_loss": 0.5871130228042603, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6332486271858215, "train_acc": 0.59, "val_loss": 0.5871310234069824, "val_acc": 0.66}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7211243510246277, "final_val_loss": 0.6743940711021423, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5226186513900757, "final_val_loss": 0.5871310234069824, "initial_val_acc": 0.46, "final_val_acc": 0.66, "best_val_acc": 0.8, "best_epoch": 3}, "improvement": 0.34, "first_improvement_epoch": 1}}
|
302
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.92, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3942, "learning_rate": 0.03811205008517233, "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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## Activation Signature
### 0
fourier: [[15.850055, 16.351519, 17.047385, 17.102213, 17.175965, 17.728308, 19.207574, 19.547301, 21.633467, 27.380239], [7.064305, 7.537294, 8.005657, 8.455955, 9.227682, 9.992842, 10.380611, 10.980333, 11.877230, 21.877861], [9.184612, 9.570792, 10.228513, 10.508267, 10.823765, 11.329993, 12.285000, 13.589840, 16.057041, 29.621488], [28.354549, 28.984919, 29.631167, 30.325095, 30.437929, 32.387497, 32.559289, 32.863299, 38.607205, 136.223709], [20.825279, 22.070725, 23.323230, 25.377107, 26.362759, 27.011905, 27.147075, 27.562874, 29.806449, 174.008495], [16.439563, 16.470553, 17.362665, 17.755977, 17.938588, 19.550252, 19.767882, 20.478933, 22.330527, 64.127123], [14.003518, 15.830877, 16.128490, 16.839746, 17.381103, 18.139497, 19.339085, 20.117038, 20.688733, 70.606652], [18.691690, 21.183920, 21.922037, 22.066508, 22.560173, 23.049174, 23.773877, 27.226621, 32.293258, 75.644712]]
### 2
fourier: [[19.674883, 20.185755, 21.015644, 21.280227, 21.537139, 23.514994, 24.385513, 25.731349, 34.154744, 35.314741], [4.567879, 4.775904, 5.014087, 5.216064, 5.312420, 5.519481, 7.024921, 8.929786, 9.649850, 35.137655], [8.366618, 8.736079, 9.311316, 10.274570, 10.317645, 10.387021, 10.775677, 14.689843, 15.610372, 43.857156], [5.097710, 5.331075, 5.354809, 5.456007, 7.121491, 7.177911, 8.050642, 8.140892, 9.343899, 78.837732], [5.436913, 5.485701, 6.421581, 6.753280, 7.342295, 8.374910, 8.462628, 8.731945, 9.406683, 11.952067], [5.514869, 5.787453, 5.970174, 6.068898, 6.071362, 7.113671, 7.304449, 7.549443, 9.956412, 29.416912], [13.565175, 15.018623, 18.373146, 18.712827, 18.900228, 19.201899, 19.272914, 19.402544, 22.483625, 139.553579], [11.313310, 11.358415, 11.926526, 12.705672, 12.914227, 13.309813, 15.021778, 18.176067, 24.030665, 31.652263]]
### 4
fourier: [[2.668418, 2.706832, 3.009161, 3.062415, 3.070232, 3.294317, 4.120520, 4.257110, 6.516796, 26.356415], [7.446375, 8.454319, 8.618488, 10.186515, 10.381821, 10.529870, 11.008159, 11.622300, 12.059610, 16.434145], [5.196586, 5.396515, 5.458043, 5.945487, 6.174718, 6.189005, 6.570959, 7.731444, 10.877500, 58.602843], [6.077305, 6.146802, 6.374746, 6.558366, 6.666363, 6.913423, 7.735610, 8.158839, 12.733491, 48.929794], [9.952045, 10.046042, 10.534625, 10.851391, 11.284512, 11.900697, 12.098921, 14.058685, 20.519414, 61.063477], [4.777808, 4.874369, 6.251201, 7.006347, 7.328943, 7.368983, 8.194616, 8.427093, 8.449102, 57.286839], [3.701969, 3.703519, 4.150063, 4.161102, 4.341939, 4.426841, 4.638930, 5.064932, 6.580993, 38.301961], [5.300243, 5.574592, 5.884660, 5.951935, 5.955119, 6.030490, 6.071366, 7.648848, 11.090127, 39.951625]]
### 6
fourier: [[0.246424, 0.263709, 0.265158, 0.266169, 0.278641, 0.279033, 0.300171, 0.337698, 0.359932, 35.581575], [12.169401, 12.482935, 12.528293, 13.734474, 14.401682, 14.538368, 14.549418, 17.786564, 25.628936, 108.868544], [5.231957, 5.559265, 6.070796, 6.323774, 6.341721, 6.400703, 7.922440, 7.984488, 11.971289, 40.372474], [7.479930, 7.511668, 7.571864, 8.163975, 8.708434, 8.797252, 8.897716, 10.606526, 15.587476, 60.124928], [3.716976, 4.001457, 4.057570, 4.427660, 4.565514, 4.580183, 5.547976, 5.654076, 6.629010, 8.462031], [7.245699, 7.277407, 7.557591, 8.022679, 8.157074, 8.226102, 8.988166, 10.422138, 15.148521, 40.718950], [2.343681, 2.893133, 3.276843, 3.485216, 3.504004, 3.832394, 3.863509, 4.071781, 4.470822, 16.210962], [5.123723, 5.284714, 5.382819, 5.974028, 6.183698, 6.211180, 6.401121, 7.833738, 10.981199, 45.878323]]
### 8
fourier: [[7.423349, 7.539458, 7.556417, 7.914142, 8.405053, 8.473285, 10.065171, 10.529235, 15.658093, 50.013767], [8.988573, 9.154030, 9.599099, 9.633567, 10.348709, 10.459623, 11.792340, 13.244651, 19.285618, 116.760133], [3.735933, 3.920247, 4.095479, 4.144446, 4.525648, 4.563053, 4.944271, 5.809791, 8.238962, 51.450903], [15.225312, 15.550027, 15.717232, 16.189510, 16.698229, 17.336632, 20.238062, 21.684025, 32.154836, 160.567486], [2.077803, 2.095660, 2.257013, 2.471824, 2.613527, 2.628773, 2.889263, 3.392798, 4.688519, 6.842908], [6.532912, 6.787695, 7.309168, 7.712571, 7.744223, 8.099269, 9.671647, 9.691330, 14.411466, 80.299351], [1.867987, 1.873823, 1.896926, 2.031291, 2.132691, 2.135364, 2.514098, 2.655895, 3.874639, 41.399282], [6.969489, 7.113197, 7.204857, 7.389369, 7.648517, 7.933284, 9.265401, 9.907629, 14.705066, 62.762403]]
### 10
fourier: [[12.419707, 12.490830, 12.689609, 13.422070, 13.439028, 14.139267, 16.238871, 17.722899, 26.052824, 101.136464]]
## 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: [[15.850055, 16.351519, 17.047385, 17.102213, 17.175965, 17.728308, 19.207574, 19.547301, 21.633467, 27.380239], [7.064305, 7.537294, 8.005657, 8.455955, 9.227682, 9.992842, 10.380611, 10.980333, 11.877230, 21.877861], [9.184612, 9.570792, 10.228513, 10.508267, 10.823765, 11.329993, 12.285000, 13.589840, 16.057041, 29.621488], [28.354549, 28.984919, 29.631167, 30.325095, 30.437929, 32.387497, 32.559289, 32.863299, 38.607205, 136.223709], [20.825279, 22.070725, 23.323230, 25.377107, 26.362759, 27.011905, 27.147075, 27.562874, 29.806449, 174.008495], [16.439563, 16.470553, 17.362665, 17.755977, 17.938588, 19.550252, 19.767882, 20.478933, 22.330527, 64.127123], [14.003518, 15.830877, 16.128490, 16.839746, 17.381103, 18.139497, 19.339085, 20.117038, 20.688733, 70.606652], [18.691690, 21.183920, 21.922037, 22.066508, 22.560173, 23.049174, 23.773877, 27.226621, 32.293258, 75.644712]]
### 2
fourier: [[19.674883, 20.185755, 21.015644, 21.280227, 21.537139, 23.514994, 24.385513, 25.731349, 34.154744, 35.314741], [4.567879, 4.775904, 5.014087, 5.216064, 5.312420, 5.519481, 7.024921, 8.929786, 9.649850, 35.137655], [8.366618, 8.736079, 9.311316, 10.274570, 10.317645, 10.387021, 10.775677, 14.689843, 15.610372, 43.857156], [5.097710, 5.331075, 5.354809, 5.456007, 7.121491, 7.177911, 8.050642, 8.140892, 9.343899, 78.837732], [5.436913, 5.485701, 6.421581, 6.753280, 7.342295, 8.374910, 8.462628, 8.731945, 9.406683, 11.952067], [5.514869, 5.787453, 5.970174, 6.068898, 6.071362, 7.113671, 7.304449, 7.549443, 9.956412, 29.416912], [13.565175, 15.018623, 18.373146, 18.712827, 18.900228, 19.201899, 19.272914, 19.402544, 22.483625, 139.553579], [11.313310, 11.358415, 11.926526, 12.705672, 12.914227, 13.309813, 15.021778, 18.176067, 24.030665, 31.652263]]
### 4
fourier: [[2.668418, 2.706832, 3.009161, 3.062415, 3.070232, 3.294317, 4.120520, 4.257110, 6.516796, 26.356415], [7.446375, 8.454319, 8.618488, 10.186515, 10.381821, 10.529870, 11.008159, 11.622300, 12.059610, 16.434145], [5.196586, 5.396515, 5.458043, 5.945487, 6.174718, 6.189005, 6.570959, 7.731444, 10.877500, 58.602843], [6.077305, 6.146802, 6.374746, 6.558366, 6.666363, 6.913423, 7.735610, 8.158839, 12.733491, 48.929794], [9.952045, 10.046042, 10.534625, 10.851391, 11.284512, 11.900697, 12.098921, 14.058685, 20.519414, 61.063477], [4.777808, 4.874369, 6.251201, 7.006347, 7.328943, 7.368983, 8.194616, 8.427093, 8.449102, 57.286839], [3.701969, 3.703519, 4.150063, 4.161102, 4.341939, 4.426841, 4.638930, 5.064932, 6.580993, 38.301961], [5.300243, 5.574592, 5.884660, 5.951935, 5.955119, 6.030490, 6.071366, 7.648848, 11.090127, 39.951625]]
### 6
fourier: [[0.246424, 0.263709, 0.265158, 0.266169, 0.278641, 0.279033, 0.300171, 0.337698, 0.359932, 35.581575], [12.169401, 12.482935, 12.528293, 13.734474, 14.401682, 14.538368, 14.549418, 17.786564, 25.628936, 108.868544], [5.231957, 5.559265, 6.070796, 6.323774, 6.341721, 6.400703, 7.922440, 7.984488, 11.971289, 40.372474], [7.479930, 7.511668, 7.571864, 8.163975, 8.708434, 8.797252, 8.897716, 10.606526, 15.587476, 60.124928], [3.716976, 4.001457, 4.057570, 4.427660, 4.565514, 4.580183, 5.547976, 5.654076, 6.629010, 8.462031], [7.245699, 7.277407, 7.557591, 8.022679, 8.157074, 8.226102, 8.988166, 10.422138, 15.148521, 40.718950], [2.343681, 2.893133, 3.276843, 3.485216, 3.504004, 3.832394, 3.863509, 4.071781, 4.470822, 16.210962], [5.123723, 5.284714, 5.382819, 5.974028, 6.183698, 6.211180, 6.401121, 7.833738, 10.981199, 45.878323]]
### 8
fourier: [[7.423349, 7.539458, 7.556417, 7.914142, 8.405053, 8.473285, 10.065171, 10.529235, 15.658093, 50.013767], [8.988573, 9.154030, 9.599099, 9.633567, 10.348709, 10.459623, 11.792340, 13.244651, 19.285618, 116.760133], [3.735933, 3.920247, 4.095479, 4.144446, 4.525648, 4.563053, 4.944271, 5.809791, 8.238962, 51.450903], [15.225312, 15.550027, 15.717232, 16.189510, 16.698229, 17.336632, 20.238062, 21.684025, 32.154836, 160.567486], [2.077803, 2.095660, 2.257013, 2.471824, 2.613527, 2.628773, 2.889263, 3.392798, 4.688519, 6.842908], [6.532912, 6.787695, 7.309168, 7.712571, 7.744223, 8.099269, 9.671647, 9.691330, 14.411466, 80.299351], [1.867987, 1.873823, 1.896926, 2.031291, 2.132691, 2.135364, 2.514098, 2.655895, 3.874639, 41.399282], [6.969489, 7.113197, 7.204857, 7.389369, 7.648517, 7.933284, 9.265401, 9.907629, 14.705066, 62.762403]]
### 10
fourier: [[12.419707, 12.490830, 12.689609, 13.422070, 13.439028, 14.139267, 16.238871, 17.722899, 26.052824, 101.136464]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.023068, -0.36275, -0.266908, 0.370521, 0.27472], [-0.244003, 0.234238, -0.110748, -0.03855, 0.159752], [-0.110903, 0.079469, -0.160821, -0.036046, 0.419431], [0.661857, 0.446578, 0.253632, -0.251165, -0.075863], [-0.370879, -0.299467, -0.442525, -0.13212, 0.049448], [0.375831, -0.408721, -0.445584, 0.293411, 0.193515], [-0.19782, 0.347774, 0.474242, -0.04399, -0.192644], [0.619766, -0.081544, 0.122929, -0.208184, 0.079803]], "network.0.bias": [0.360688, 0.236883, 0.218266, -0.021446, 0.22053, -0.37254, -0.261737, 0.309053], "network.2.weight": [[-0.409788, -0.369054, -0.180817, 0.396213, -0.00398, 0.1922, 0.063341, 0.380558], [-0.328671, -0.033617, -0.110116, -0.121963, 0.080483, 0.042373, -0.160863, 0.31398], [0.21592, 0.234026, 0.12759, -0.094453, 0.065652, 0.109903, 0.383977, -0.26627], [-0.27032, -0.223082, -0.164245, -0.076708, 0.287898, -0.332841, -0.32027, 0.092355], [0.437791, 0.10189, 0.239387, 0.111918, 0.2257, 0.081699, -0.021453, -0.186506], [-0.158026, 0.114798, -0.349207, 0.177301, -0.239324, 0.058068, -0.081237, -0.010844], [-0.137908, -0.161074, 0.092442, -0.344964, -0.311963, -0.199385, 0.00181, -0.416003], [0.441637, 0.448599, 0.423987, 0.067227, 0.172009, 0.211491, -0.226347, -0.320881]], "network.2.bias": [-0.231189, -0.095192, 0.246997, -0.169504, -0.386426, 0.335943, -0.441004, 0.079892], "network.4.weight": [[0.16039, 0.024114, -0.120076, -0.034001, -0.31829, -0.417606, -0.091866, -0.068643], [0.427228, -0.194646, -0.334097, 0.007733, 0.005871, 0.140649, -0.349992, 0.100172], [-0.176735, -0.337287, 0.285678, -0.272131, 0.044393, 0.074846, -0.12091, 0.181463], [-0.073215, 0.137631, 0.393473, -0.013468, -0.014513, -0.155798, 0.196588, 0.340041], [-0.309115, -0.210001, 0.543231, 0.237512, 0.327036, -0.02797, 0.211512, 0.232906], [-0.348316, -0.271071, -0.195624, -0.21264, -0.043939, -0.247869, -0.344193, -0.157549], [-0.236633, -0.178503, -0.003841, -0.278537, -0.152568, 0.182631, 0.007031, -0.283094], [-0.105346, 0.327213, 0.454326, 0.026733, -0.236733, -0.076755, -0.146388, 0.334339]], "network.4.bias": [-0.087687, -0.04429, 0.493624, 0.233475, 0.418949, -0.045229, -0.121828, 0.127124], "network.6.weight": [[0.253819, -0.05982, -0.188181, 0.19341, -0.229415, -0.190539, 0.022624, 0.267011], [0.061027, -0.469395, 0.456157, 0.522466, 0.363764, 0.018051, 0.003817, 0.39775], [-0.136324, 0.141668, 0.099844, 0.268042, 0.462096, -0.125293, 0.177631, 0.155651], [-0.094425, -0.268828, 0.40645, 0.514452, 0.192364, -0.317417, 0.152389, -0.078272], [-0.281728, 0.009363, -0.267695, 0.301055, 0.285486, -0.289595, 0.070986, 0.301551], [-0.073019, -0.136416, 0.293019, -0.037566, 0.464831, 0.348117, 0.088823, 0.361271], [0.208777, -0.412193, 0.103758, -0.381463, 0.058402, 0.187453, 0.191089, 0.174394], [-0.110265, -0.152003, 0.381405, -0.132478, 0.215953, -0.139069, 0.318496, 0.359298]], "network.6.bias": [-0.310587, 0.272793, -0.249608, 0.073731, -0.289903, -0.220082, -0.041763, 0.033931], "network.8.weight": [[0.240555, 0.342013, 0.302591, -0.003392, 0.247701, 0.177657, -0.3137, 0.077637], [0.000958, 0.436863, -0.070157, 0.339762, -0.095789, 0.373228, -0.074849, 0.133516], [0.230796, -0.32007, -0.233391, 0.307675, 0.261473, -0.165302, 0.175254, -0.188353], [-0.319888, 0.424185, 0.464646, 0.508388, 0.195711, 0.283935, -0.08175, 0.561829], [-0.247202, -0.287934, 0.284102, -0.246718, 0.013296, 0.026321, -0.118734, 0.182879], [-0.240732, 0.021849, 0.453379, 0.252808, 0.41706, 0.154822, 0.21361, 0.109934], [-0.212592, -0.076579, 0.172872, 0.11122, -0.324425, -0.043838, -0.468805, -0.324011], [0.22015, 0.266163, 0.15279, 0.206495, 0.126537, 0.164384, -0.412473, 0.127194]], "network.8.bias": [-0.192082, 0.273327, -0.12856, 0.178574, 0.374282, 0.266671, -0.273649, -0.036525], "network.10.weight": [[-0.321588, -0.361879, -0.173385, -0.314556, 0.420687, -0.051898, -0.003307, -0.162267]], "network.10.bias": [0.213732]}}
|
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|
303
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.38, "improved_accuracy": 0.96, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7781, "learning_rate": 0.050197625159672424, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[19.010857, 19.586675, 20.619787, 21.990883, 22.901160, 24.076696, 25.505691, 25.653848, 29.727622, 63.105040], [15.811811, 15.862749, 16.034932, 16.599221, 16.796239, 17.060003, 17.195760, 19.367124, 20.521289, 83.906435], [8.130976, 8.330284, 8.529660, 8.543295, 8.763426, 9.142993, 9.495667, 10.093167, 11.418902, 19.332871], [16.897832, 17.221257, 18.012484, 18.092475, 18.414609, 21.434225, 21.966674, 22.995428, 23.249946, 24.367331], [17.293229, 17.529877, 17.933527, 18.268976, 19.353367, 20.835074, 20.849952, 22.083757, 22.317931, 45.174996], [21.468901, 21.585311, 21.600736, 21.881452, 24.296673, 25.100414, 29.007832, 31.714654, 31.829821, 127.461205], [18.548304, 19.211551, 21.997724, 22.027552, 23.997309, 24.228615, 24.322615, 24.855576, 30.233037, 87.077535]]
### 2
fourier: [[20.244902, 22.103865, 23.467066, 23.771420, 24.137642, 25.964396, 26.077018, 26.126932, 27.139810, 131.476079], [5.879181, 6.080145, 6.566745, 6.694705, 7.299664, 7.628002, 9.103768, 9.292831, 9.351365, 9.421050], [7.390333, 8.553436, 10.059891, 10.083885, 10.277953, 10.800380, 10.903396, 11.106318, 12.566148, 22.763620], [19.292055, 20.373690, 21.260826, 23.157308, 23.731580, 24.937655, 25.569241, 30.639629, 32.145844, 159.906988], [16.436829, 16.736266, 16.993017, 19.108520, 19.425417, 19.617550, 20.704420, 23.374359, 24.303544, 99.342784], [10.275568, 10.307322, 10.358631, 11.033094, 11.752466, 12.807368, 14.026881, 15.247840, 15.773110, 19.764288], [4.574942, 4.771950, 4.875059, 4.930389, 5.032770, 5.115212, 5.552361, 6.218692, 7.311520, 108.757301]]
### 4
fourier: [[30.572400, 30.809803, 35.162090, 38.721036, 39.121723, 39.580592, 41.795043, 47.298126, 47.898577, 259.953990], [4.520116, 4.558976, 4.568243, 4.629142, 4.634911, 4.670237, 5.368984, 7.048355, 7.591076, 35.194824], [9.538693, 10.491736, 11.666934, 11.905942, 12.279993, 12.780842, 13.396603, 13.956904, 14.019713, 168.055456], [10.994606, 11.638119, 12.153624, 12.843754, 13.378182, 13.773194, 15.566838, 16.829041, 17.691302, 18.185616], [7.204426, 8.341582, 9.173238, 9.494205, 9.627007, 9.669154, 11.084530, 13.047547, 13.443704, 54.024342], [2.880787, 2.912767, 3.071439, 3.108085, 3.178993, 3.597796, 4.970574, 5.845802, 5.977176, 25.031451], [8.428288, 8.816623, 9.629771, 10.425084, 10.538472, 11.333848, 12.268781, 14.047395, 14.152588, 15.162831]]
### 6
fourier: [[19.562405, 19.929447, 25.362542, 26.040414, 26.982309, 28.065068, 28.722992, 33.198160, 34.373022, 186.797850], [3.157719, 3.172133, 3.186118, 3.514711, 4.557194, 4.719543, 4.924930, 5.066796, 5.220874, 8.695303], [24.858251, 25.577333, 31.788717, 34.212153, 34.460097, 35.862747, 36.770622, 42.258431, 44.114680, 235.739915], [13.375974, 13.698613, 14.877230, 16.445181, 18.120386, 18.581626, 18.758342, 20.738557, 21.326194, 23.113393], [13.397359, 14.425574, 15.211985, 17.372845, 18.164106, 18.378969, 18.943427, 22.092082, 22.486070, 124.470777], [8.910790, 9.554627, 9.767596, 11.046324, 11.221000, 11.562558, 12.225117, 13.473769, 13.736009, 97.017474], [9.063139, 9.096193, 10.574332, 11.012802, 11.102394, 11.303245, 11.350178, 12.454459, 12.755023, 140.516093]]
### 8
fourier: [[35.959658, 36.665585, 44.872341, 48.734173, 50.803121, 53.611626, 53.902586, 60.784198, 65.462216, 291.596366]]
## 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: 7
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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## Activation Signature
### 0
fourier: [[19.010857, 19.586675, 20.619787, 21.990883, 22.901160, 24.076696, 25.505691, 25.653848, 29.727622, 63.105040], [15.811811, 15.862749, 16.034932, 16.599221, 16.796239, 17.060003, 17.195760, 19.367124, 20.521289, 83.906435], [8.130976, 8.330284, 8.529660, 8.543295, 8.763426, 9.142993, 9.495667, 10.093167, 11.418902, 19.332871], [16.897832, 17.221257, 18.012484, 18.092475, 18.414609, 21.434225, 21.966674, 22.995428, 23.249946, 24.367331], [17.293229, 17.529877, 17.933527, 18.268976, 19.353367, 20.835074, 20.849952, 22.083757, 22.317931, 45.174996], [21.468901, 21.585311, 21.600736, 21.881452, 24.296673, 25.100414, 29.007832, 31.714654, 31.829821, 127.461205], [18.548304, 19.211551, 21.997724, 22.027552, 23.997309, 24.228615, 24.322615, 24.855576, 30.233037, 87.077535]]
### 2
fourier: [[20.244902, 22.103865, 23.467066, 23.771420, 24.137642, 25.964396, 26.077018, 26.126932, 27.139810, 131.476079], [5.879181, 6.080145, 6.566745, 6.694705, 7.299664, 7.628002, 9.103768, 9.292831, 9.351365, 9.421050], [7.390333, 8.553436, 10.059891, 10.083885, 10.277953, 10.800380, 10.903396, 11.106318, 12.566148, 22.763620], [19.292055, 20.373690, 21.260826, 23.157308, 23.731580, 24.937655, 25.569241, 30.639629, 32.145844, 159.906988], [16.436829, 16.736266, 16.993017, 19.108520, 19.425417, 19.617550, 20.704420, 23.374359, 24.303544, 99.342784], [10.275568, 10.307322, 10.358631, 11.033094, 11.752466, 12.807368, 14.026881, 15.247840, 15.773110, 19.764288], [4.574942, 4.771950, 4.875059, 4.930389, 5.032770, 5.115212, 5.552361, 6.218692, 7.311520, 108.757301]]
### 4
fourier: [[30.572400, 30.809803, 35.162090, 38.721036, 39.121723, 39.580592, 41.795043, 47.298126, 47.898577, 259.953990], [4.520116, 4.558976, 4.568243, 4.629142, 4.634911, 4.670237, 5.368984, 7.048355, 7.591076, 35.194824], [9.538693, 10.491736, 11.666934, 11.905942, 12.279993, 12.780842, 13.396603, 13.956904, 14.019713, 168.055456], [10.994606, 11.638119, 12.153624, 12.843754, 13.378182, 13.773194, 15.566838, 16.829041, 17.691302, 18.185616], [7.204426, 8.341582, 9.173238, 9.494205, 9.627007, 9.669154, 11.084530, 13.047547, 13.443704, 54.024342], [2.880787, 2.912767, 3.071439, 3.108085, 3.178993, 3.597796, 4.970574, 5.845802, 5.977176, 25.031451], [8.428288, 8.816623, 9.629771, 10.425084, 10.538472, 11.333848, 12.268781, 14.047395, 14.152588, 15.162831]]
### 6
fourier: [[19.562405, 19.929447, 25.362542, 26.040414, 26.982309, 28.065068, 28.722992, 33.198160, 34.373022, 186.797850], [3.157719, 3.172133, 3.186118, 3.514711, 4.557194, 4.719543, 4.924930, 5.066796, 5.220874, 8.695303], [24.858251, 25.577333, 31.788717, 34.212153, 34.460097, 35.862747, 36.770622, 42.258431, 44.114680, 235.739915], [13.375974, 13.698613, 14.877230, 16.445181, 18.120386, 18.581626, 18.758342, 20.738557, 21.326194, 23.113393], [13.397359, 14.425574, 15.211985, 17.372845, 18.164106, 18.378969, 18.943427, 22.092082, 22.486070, 124.470777], [8.910790, 9.554627, 9.767596, 11.046324, 11.221000, 11.562558, 12.225117, 13.473769, 13.736009, 97.017474], [9.063139, 9.096193, 10.574332, 11.012802, 11.102394, 11.303245, 11.350178, 12.454459, 12.755023, 140.516093]]
### 8
fourier: [[35.959658, 36.665585, 44.872341, 48.734173, 50.803121, 53.611626, 53.902586, 60.784198, 65.462216, 291.596366]]
## 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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"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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.036002, 0.164796, 0.507617, -0.244367, -0.598925], [-0.318166, -0.104612, -0.018192, 0.492341, 0.009422], [0.040264, -0.15115, 0.260478, -0.088569, -0.129232], [0.496664, -0.190213, 0.181464, 0.219459, -0.567073], [0.009261, 0.008631, 0.083627, -0.42665, 0.548351], [-0.517801, 0.245049, 0.182002, 0.260672, 0.668443], [0.638393, 0.011707, 0.073688, 0.020026, 0.084035]], "network.0.bias": [0.558421, 0.489444, -0.18428, -0.16624, -0.465258, -0.149515, -0.148764], "network.2.weight": [[-0.228341, 0.636325, 0.386098, -0.318746, 0.522818, 0.555912, -0.059578], [-0.186584, 0.299022, 0.224283, 0.309045, -0.294655, 0.074705, -0.090411], [-0.302657, 0.371958, -0.078622, 0.016589, 0.293697, -0.095997, -0.165508], [0.304292, 0.586668, 0.254679, 0.099475, 0.155509, 0.682102, -0.448062], [-0.026894, 0.509052, -0.24291, -0.238531, 0.232211, 0.463661, -0.182181], [0.030276, -0.325393, -0.034709, 0.137336, -0.217947, -0.142873, 0.299005], [-0.472574, -0.308878, 0.194334, 0.19393, -0.040595, 0.032016, -0.133137]], "network.2.bias": [0.181158, -0.406772, -0.129387, 0.077039, 0.148193, 0.014404, -0.454351], "network.4.weight": [[0.611425, 0.438587, 0.336835, 0.744939, 0.402228, -0.460183, 0.045248], [-0.328366, 0.014252, 0.278648, 0.336797, 0.268981, 0.296175, -0.061039], [0.170686, 0.424414, 0.459864, 0.287986, 0.079628, 0.395421, 0.219605], [0.07249, 0.031002, -0.053047, -0.491277, -0.092747, 0.538646, 0.03107], [0.006318, 0.215837, -0.311134, -0.315255, -0.190275, 0.026853, -0.218317], [0.178708, 0.368112, 0.241078, -0.332231, 0.169023, -0.025602, -0.477469], [0.001, 0.289475, 0.344488, -0.452531, -0.005238, 0.521671, 0.145861]], "network.4.bias": [-0.001217, -0.150289, 0.72719, 0.602984, 0.210493, -0.254238, 0.615913], "network.6.weight": [[0.52325, 0.215905, 0.210252, -0.548814, -0.459624, 0.364842, -0.156414], [0.238174, -0.288048, -0.491363, 0.366015, 0.031903, -0.587331, 0.447116], [0.655899, 0.2059, 0.245205, -0.488594, -0.59799, 0.056253, -0.593232], [-0.426653, 0.02882, 0.321416, 0.588873, 0.091681, 0.054866, 0.366583], [0.375222, 0.391941, 0.130224, -0.11948, -0.239526, -0.132943, 0.015646], [-0.220177, 0.204113, -0.256528, 0.070979, -0.109148, -0.002592, 0.120839], [-0.238848, -0.231543, -0.203665, -0.187786, 0.00555, -0.316828, -0.164665]], "network.6.bias": [0.259105, -0.001028, 0.472368, 0.575916, -0.096622, -0.081926, -0.265785], "network.8.weight": [[-0.703815, 0.129716, -0.524034, 0.739847, -0.427776, 0.27605, -0.336766]], "network.8.bias": [-0.146798]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6485382616519928, "train_acc": 0.6, "val_loss": 0.6976492404937744, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5865680575370789, "train_acc": 0.6, "val_loss": 0.5896133780479431, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.45179176330566406, "train_acc": 0.645, "val_loss": 0.4151162803173065, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.29976776242256165, "train_acc": 0.93, "val_loss": 0.2622512876987457, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.22830218821763992, "train_acc": 0.935, "val_loss": 0.17833483219146729, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.15942852199077606, "train_acc": 0.955, "val_loss": 0.16656307876110077, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.18067146837711334, "train_acc": 0.96, "val_loss": 0.4613041579723358, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.24289646744728088, "train_acc": 0.905, "val_loss": 0.13237011432647705, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1798660345375538, "train_acc": 0.945, "val_loss": 0.12049075961112976, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.20530657470226288, "train_acc": 0.94, "val_loss": 0.1261727511882782, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.1799137331545353, "train_acc": 0.95, "val_loss": 0.1864737719297409, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1643911749124527, "train_acc": 0.955, "val_loss": 0.29207953810691833, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6976492404937744, "final_val_loss": 0.5896133780479431, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.4151162803173065, "final_val_loss": 0.29207953810691833, "initial_val_acc": 0.92, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 3}, "improvement": 0.58, "first_improvement_epoch": 1}}
|
304
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4483, "learning_rate": 0.06152409843159069, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.10.weight": [
[
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0.237168,
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]
],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[7.207847, 7.523342, 7.706051, 9.105890, 9.253734, 9.366719, 9.836182, 10.220966, 11.373171, 73.381338], [17.667421, 17.811963, 19.138146, 19.259577, 20.109832, 22.356610, 23.418286, 23.567204, 25.325703, 80.437858], [19.716516, 20.021618, 22.197125, 24.615165, 24.990123, 25.673889, 26.212450, 26.741657, 34.201605, 108.672830], [19.959675, 20.606714, 21.595226, 23.752800, 24.468071, 24.554664, 25.333197, 26.701691, 28.665701, 132.923719], [21.037123, 21.062587, 22.063668, 22.683276, 23.984792, 24.252319, 27.315216, 29.533048, 30.547872, 49.859230], [8.462300, 8.542490, 8.936197, 8.973118, 9.903582, 10.039052, 10.122160, 10.884639, 11.665849, 74.615117], [21.181841, 22.519729, 23.248558, 24.313008, 24.659011, 25.701784, 29.025286, 29.532194, 41.580198, 59.298015], [14.640214, 16.131188, 16.508049, 16.812648, 19.848685, 21.918172, 22.237548, 22.587313, 22.776760, 44.983061]]
### 2
fourier: [[12.231583, 12.907483, 13.184493, 13.443535, 13.574943, 14.151423, 17.697598, 17.718628, 18.685965, 80.003588], [26.939684, 27.069889, 28.535719, 29.385960, 30.186801, 32.466799, 32.810079, 36.144843, 38.150587, 185.536704], [21.105694, 21.300762, 21.899229, 22.297771, 23.864086, 23.897068, 25.041373, 28.500304, 30.247456, 160.570071], [12.604283, 13.198262, 13.390457, 13.676313, 13.769154, 13.921992, 14.711143, 16.613919, 16.810882, 38.603645], [20.832353, 21.726128, 22.886258, 22.987849, 24.232298, 26.263047, 28.858472, 29.988167, 30.195871, 157.964107], [28.260507, 28.500495, 28.938208, 29.546316, 31.626224, 31.928923, 38.001115, 41.112555, 43.983166, 159.239050], [18.801801, 19.475890, 19.698140, 21.037408, 21.203284, 22.378187, 22.514351, 23.633602, 28.663179, 143.775284], [22.477507, 22.855054, 23.482745, 23.629622, 24.924525, 26.317515, 31.234188, 32.049847, 36.598334, 191.441341]]
### 4
fourier: [[6.462551, 6.882301, 7.160331, 7.175800, 7.852659, 7.893562, 8.412227, 8.771443, 11.266807, 29.226659], [17.057888, 17.277442, 17.832073, 17.894502, 19.816093, 22.546600, 23.483739, 25.013443, 25.373769, 152.749321], [42.650743, 44.533609, 44.749491, 48.245992, 53.083512, 57.824645, 60.034201, 63.728079, 65.811301, 357.898412], [29.091116, 29.206929, 29.327431, 31.750161, 34.728488, 37.708392, 39.369300, 41.525245, 43.930928, 193.222378], [51.962476, 52.620523, 53.084439, 57.711748, 64.682562, 69.404348, 70.181524, 75.703387, 78.069668, 388.124157], [4.577245, 4.674919, 4.713166, 5.115536, 5.182626, 5.407191, 6.093104, 6.314654, 7.311773, 23.684266], [24.257372, 25.598010, 25.676255, 27.761359, 30.660693, 32.204690, 34.885454, 36.773692, 37.239347, 277.124607], [27.178514, 28.997556, 29.008505, 30.994735, 34.644282, 35.596567, 38.377889, 41.201740, 41.896162, 252.190301]]
### 6
fourier: [[9.818408, 10.046410, 10.787939, 10.818519, 11.893205, 12.461875, 13.224257, 13.503777, 15.577852, 96.165218], [56.101465, 58.223185, 58.865397, 62.891708, 69.014444, 78.282939, 79.320869, 83.609324, 86.882566, 402.607430], [53.746498, 54.354144, 55.962623, 59.975522, 64.818310, 71.250770, 74.230583, 78.097531, 82.632045, 381.030435], [61.945707, 63.595792, 64.698289, 69.816705, 75.940211, 85.043896, 85.948144, 91.042948, 95.581194, 437.646351], [50.678707, 52.751871, 53.253375, 56.827267, 64.338334, 68.195432, 70.813834, 76.268496, 77.130536, 431.941179], [37.216911, 38.859264, 39.153452, 42.101522, 45.841649, 52.006534, 52.192944, 55.495843, 57.754565, 296.276889], [48.478735, 49.970744, 50.454260, 54.234619, 59.551333, 64.645877, 66.277170, 71.472385, 73.762970, 370.863079], [45.032980, 47.300318, 47.841546, 51.558744, 56.828236, 62.399630, 64.391537, 68.039032, 70.381495, 375.508175]]
### 8
fourier: [[16.115228, 16.302239, 16.534936, 17.601622, 20.133355, 21.610853, 22.810283, 23.630409, 24.250116, 193.994120], [20.499318, 20.671201, 20.903787, 21.471731, 23.574332, 23.968121, 24.589401, 28.055986, 28.347158, 116.307281], [33.464184, 34.502213, 34.634208, 36.482396, 40.992955, 41.585267, 42.524878, 48.626578, 48.656318, 225.980165], [29.300083, 29.604882, 30.841384, 30.843666, 33.769233, 34.417694, 34.942759, 39.888596, 41.337511, 186.701492], [34.668434, 35.719694, 37.359379, 38.713154, 39.097976, 41.812994, 42.356606, 48.973759, 50.081386, 232.093422], [67.949914, 69.294036, 69.357814, 73.984608, 82.741137, 86.144515, 87.245065, 97.670153, 100.610064, 502.383371], [51.988264, 53.950772, 55.157606, 56.727755, 63.281069, 63.734851, 65.728437, 75.235475, 75.912647, 334.623500], [50.328228, 52.166802, 53.022988, 55.154032, 62.083334, 62.118543, 63.641291, 73.010250, 74.079995, 361.969122]]
### 10
fourier: [[54.124903, 56.123907, 57.435589, 59.725189, 66.639500, 67.546078, 69.517367, 78.478638, 80.690621, 377.643120]]
## 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: gelu
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: [[7.207847, 7.523342, 7.706051, 9.105890, 9.253734, 9.366719, 9.836182, 10.220966, 11.373171, 73.381338], [17.667421, 17.811963, 19.138146, 19.259577, 20.109832, 22.356610, 23.418286, 23.567204, 25.325703, 80.437858], [19.716516, 20.021618, 22.197125, 24.615165, 24.990123, 25.673889, 26.212450, 26.741657, 34.201605, 108.672830], [19.959675, 20.606714, 21.595226, 23.752800, 24.468071, 24.554664, 25.333197, 26.701691, 28.665701, 132.923719], [21.037123, 21.062587, 22.063668, 22.683276, 23.984792, 24.252319, 27.315216, 29.533048, 30.547872, 49.859230], [8.462300, 8.542490, 8.936197, 8.973118, 9.903582, 10.039052, 10.122160, 10.884639, 11.665849, 74.615117], [21.181841, 22.519729, 23.248558, 24.313008, 24.659011, 25.701784, 29.025286, 29.532194, 41.580198, 59.298015], [14.640214, 16.131188, 16.508049, 16.812648, 19.848685, 21.918172, 22.237548, 22.587313, 22.776760, 44.983061]]
### 2
fourier: [[12.231583, 12.907483, 13.184493, 13.443535, 13.574943, 14.151423, 17.697598, 17.718628, 18.685965, 80.003588], [26.939684, 27.069889, 28.535719, 29.385960, 30.186801, 32.466799, 32.810079, 36.144843, 38.150587, 185.536704], [21.105694, 21.300762, 21.899229, 22.297771, 23.864086, 23.897068, 25.041373, 28.500304, 30.247456, 160.570071], [12.604283, 13.198262, 13.390457, 13.676313, 13.769154, 13.921992, 14.711143, 16.613919, 16.810882, 38.603645], [20.832353, 21.726128, 22.886258, 22.987849, 24.232298, 26.263047, 28.858472, 29.988167, 30.195871, 157.964107], [28.260507, 28.500495, 28.938208, 29.546316, 31.626224, 31.928923, 38.001115, 41.112555, 43.983166, 159.239050], [18.801801, 19.475890, 19.698140, 21.037408, 21.203284, 22.378187, 22.514351, 23.633602, 28.663179, 143.775284], [22.477507, 22.855054, 23.482745, 23.629622, 24.924525, 26.317515, 31.234188, 32.049847, 36.598334, 191.441341]]
### 4
fourier: [[6.462551, 6.882301, 7.160331, 7.175800, 7.852659, 7.893562, 8.412227, 8.771443, 11.266807, 29.226659], [17.057888, 17.277442, 17.832073, 17.894502, 19.816093, 22.546600, 23.483739, 25.013443, 25.373769, 152.749321], [42.650743, 44.533609, 44.749491, 48.245992, 53.083512, 57.824645, 60.034201, 63.728079, 65.811301, 357.898412], [29.091116, 29.206929, 29.327431, 31.750161, 34.728488, 37.708392, 39.369300, 41.525245, 43.930928, 193.222378], [51.962476, 52.620523, 53.084439, 57.711748, 64.682562, 69.404348, 70.181524, 75.703387, 78.069668, 388.124157], [4.577245, 4.674919, 4.713166, 5.115536, 5.182626, 5.407191, 6.093104, 6.314654, 7.311773, 23.684266], [24.257372, 25.598010, 25.676255, 27.761359, 30.660693, 32.204690, 34.885454, 36.773692, 37.239347, 277.124607], [27.178514, 28.997556, 29.008505, 30.994735, 34.644282, 35.596567, 38.377889, 41.201740, 41.896162, 252.190301]]
### 6
fourier: [[9.818408, 10.046410, 10.787939, 10.818519, 11.893205, 12.461875, 13.224257, 13.503777, 15.577852, 96.165218], [56.101465, 58.223185, 58.865397, 62.891708, 69.014444, 78.282939, 79.320869, 83.609324, 86.882566, 402.607430], [53.746498, 54.354144, 55.962623, 59.975522, 64.818310, 71.250770, 74.230583, 78.097531, 82.632045, 381.030435], [61.945707, 63.595792, 64.698289, 69.816705, 75.940211, 85.043896, 85.948144, 91.042948, 95.581194, 437.646351], [50.678707, 52.751871, 53.253375, 56.827267, 64.338334, 68.195432, 70.813834, 76.268496, 77.130536, 431.941179], [37.216911, 38.859264, 39.153452, 42.101522, 45.841649, 52.006534, 52.192944, 55.495843, 57.754565, 296.276889], [48.478735, 49.970744, 50.454260, 54.234619, 59.551333, 64.645877, 66.277170, 71.472385, 73.762970, 370.863079], [45.032980, 47.300318, 47.841546, 51.558744, 56.828236, 62.399630, 64.391537, 68.039032, 70.381495, 375.508175]]
### 8
fourier: [[16.115228, 16.302239, 16.534936, 17.601622, 20.133355, 21.610853, 22.810283, 23.630409, 24.250116, 193.994120], [20.499318, 20.671201, 20.903787, 21.471731, 23.574332, 23.968121, 24.589401, 28.055986, 28.347158, 116.307281], [33.464184, 34.502213, 34.634208, 36.482396, 40.992955, 41.585267, 42.524878, 48.626578, 48.656318, 225.980165], [29.300083, 29.604882, 30.841384, 30.843666, 33.769233, 34.417694, 34.942759, 39.888596, 41.337511, 186.701492], [34.668434, 35.719694, 37.359379, 38.713154, 39.097976, 41.812994, 42.356606, 48.973759, 50.081386, 232.093422], [67.949914, 69.294036, 69.357814, 73.984608, 82.741137, 86.144515, 87.245065, 97.670153, 100.610064, 502.383371], [51.988264, 53.950772, 55.157606, 56.727755, 63.281069, 63.734851, 65.728437, 75.235475, 75.912647, 334.623500], [50.328228, 52.166802, 53.022988, 55.154032, 62.083334, 62.118543, 63.641291, 73.010250, 74.079995, 361.969122]]
### 10
fourier: [[54.124903, 56.123907, 57.435589, 59.725189, 66.639500, 67.546078, 69.517367, 78.478638, 80.690621, 377.643120]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6949752867221832, "train_acc": 0.515, "val_loss": 0.6388298869132996, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6475103199481964, "train_acc": 0.565, "val_loss": 0.4958343505859375, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6576725840568542, "train_acc": 0.58, "val_loss": 0.38686326146125793, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4538038522005081, "train_acc": 0.835, "val_loss": 0.504324734210968, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5267665982246399, "train_acc": 0.775, "val_loss": 0.40772005915641785, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4252616614103317, "train_acc": 0.805, "val_loss": 0.17490194737911224, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2720302641391754, "train_acc": 0.91, "val_loss": 0.07774516195058823, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.25011662393808365, "train_acc": 0.91, "val_loss": 0.06379389017820358, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1936349794268608, "train_acc": 0.925, "val_loss": 0.04960848018527031, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.19587191939353943, "train_acc": 0.925, "val_loss": 0.048112716525793076, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.17887381464242935, "train_acc": 0.935, "val_loss": 0.08103521168231964, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.16448526084423065, "train_acc": 0.935, "val_loss": 0.03211488574743271, "val_acc": 1.0}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6388298869132996, "final_val_loss": 0.4958343505859375, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.38686326146125793, "final_val_loss": 0.03211488574743271, "initial_val_acc": 0.94, "final_val_acc": 1.0, "best_val_acc": 1.0, "best_epoch": 6}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
305
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3441, "learning_rate": 0.09665494271929598, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.682676,
-0.906955,
0.250967,
0.683608,
-0.266487
],
[
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## Activation Signature
### 0
fourier: [[54.788520, 56.892945, 58.466892, 58.520452, 68.919690, 71.639371, 73.145595, 74.540723, 76.123427, 157.414197], [23.699568, 25.686733, 25.846142, 26.924005, 29.112678, 30.075108, 33.539093, 35.825918, 38.231788, 260.717101], [67.613818, 69.068153, 70.451237, 71.312104, 72.449331, 78.631565, 80.420675, 81.777752, 89.657017, 289.919943], [39.564545, 40.262066, 44.459275, 51.067127, 51.744584, 57.239864, 61.525157, 62.826960, 66.619413, 69.902673], [17.247226, 17.498145, 17.809700, 18.328585, 24.134082, 24.437945, 25.852405, 26.964432, 28.703107, 179.151602], [50.910145, 51.135795, 53.224955, 56.512044, 60.936766, 61.658527, 62.518109, 68.646206, 75.703379, 235.385033], [29.489999, 29.690761, 31.739432, 31.816418, 33.214500, 34.277534, 34.739562, 37.054587, 39.920681, 311.378487]]
### 2
fourier: [[25.919148, 29.530818, 33.424828, 33.985380, 34.249139, 37.719174, 38.150041, 39.066224, 39.147999, 161.771932], [39.924771, 40.718729, 50.608719, 50.959932, 53.512437, 54.156353, 54.303184, 55.510406, 58.628764, 347.464916], [23.512238, 24.110884, 27.091536, 28.244951, 28.406253, 29.032084, 30.460228, 33.390170, 36.513182, 44.443398], [11.260343, 12.853525, 13.466514, 14.220161, 14.640663, 15.582601, 16.182470, 16.408181, 16.607241, 115.301828], [67.280473, 67.612700, 75.647945, 78.320625, 79.953498, 83.398871, 83.891033, 84.801723, 87.345978, 245.122335], [84.933813, 86.402863, 88.930350, 89.954377, 91.467698, 96.070920, 100.750708, 101.268825, 101.991101, 384.562085], [124.035612, 137.770663, 144.901061, 148.563739, 150.530463, 159.843657, 160.367553, 161.580876, 161.989190, 635.500796]]
### 4
fourier: [[106.998620, 115.687067, 122.634734, 123.682052, 125.435670, 132.485215, 133.704977, 134.053896, 137.761699, 553.161487], [20.515492, 22.847965, 24.429961, 25.742293, 25.828397, 26.341713, 28.252003, 28.596902, 29.912315, 178.736194], [160.186260, 174.944658, 178.514694, 186.361000, 187.407910, 199.496078, 201.551631, 201.993393, 204.480038, 799.537728], [41.246434, 43.136836, 46.777791, 47.709079, 48.500885, 51.044374, 51.369457, 52.747726, 53.361219, 240.018038], [82.422518, 90.004319, 96.604922, 98.912261, 99.104697, 106.283373, 107.602132, 108.084621, 108.478718, 496.060261], [80.098096, 84.231501, 86.829571, 88.867188, 88.896807, 94.486508, 96.508021, 96.625124, 98.966210, 387.183894], [27.625934, 30.524388, 31.769771, 31.928227, 32.119707, 32.467807, 34.369321, 34.813766, 36.112827, 188.755614]]
### 6
fourier: [[104.446991, 117.447359, 121.882169, 126.772917, 128.337970, 136.664214, 137.719181, 137.919457, 138.550317, 558.599044], [85.150253, 96.254478, 99.269092, 103.545704, 104.967515, 111.684049, 112.403525, 112.754096, 113.053675, 472.243665], [265.363581, 301.481619, 309.824775, 323.259804, 327.786290, 348.141091, 350.357989, 352.842995, 352.937380, 1414.605515], [164.063842, 186.248716, 191.224014, 199.810433, 202.727954, 215.506609, 216.728883, 217.814112, 218.028843, 898.083657], [137.853959, 157.416630, 160.892834, 168.238858, 170.775365, 181.192346, 182.170810, 183.546369, 183.859914, 807.186830], [89.009610, 100.724077, 103.839133, 108.278175, 109.753972, 116.715506, 117.485948, 117.993628, 118.237268, 495.389695], [34.286642, 37.599401, 40.074358, 41.257180, 41.539915, 44.465850, 44.597918, 45.016767, 45.244076, 214.588051]]
### 8
fourier: [[94.225218, 105.517936, 106.937916, 113.169769, 114.427540, 121.416150, 122.209945, 122.562753, 124.109312, 494.329286], [72.019451, 80.191892, 84.282412, 86.721812, 87.928450, 93.817667, 93.828457, 94.565261, 95.344491, 438.198955], [27.773417, 31.476382, 31.663567, 33.574923, 34.053524, 36.087035, 36.239196, 36.363448, 36.864474, 183.100339], [17.940639, 19.329280, 19.661371, 20.957415, 20.991440, 22.297354, 22.545250, 22.562981, 23.043332, 126.107790], [325.311405, 368.784040, 378.444935, 396.071160, 401.420767, 426.717969, 429.384090, 431.684828, 432.116840, 1700.103492], [119.766280, 135.246987, 137.612808, 144.959623, 146.836244, 155.887364, 156.801167, 157.451082, 158.642502, 631.464508], [285.013813, 323.175160, 331.731810, 347.101520, 351.804475, 373.990119, 376.326423, 378.361526, 378.649162, 1534.577461]]
### 10
fourier: [[78.233801, 82.576730, 85.170540, 90.540030, 91.313142, 96.246292, 96.258405, 96.646346, 101.123740, 347.525229]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[54.788520, 56.892945, 58.466892, 58.520452, 68.919690, 71.639371, 73.145595, 74.540723, 76.123427, 157.414197], [23.699568, 25.686733, 25.846142, 26.924005, 29.112678, 30.075108, 33.539093, 35.825918, 38.231788, 260.717101], [67.613818, 69.068153, 70.451237, 71.312104, 72.449331, 78.631565, 80.420675, 81.777752, 89.657017, 289.919943], [39.564545, 40.262066, 44.459275, 51.067127, 51.744584, 57.239864, 61.525157, 62.826960, 66.619413, 69.902673], [17.247226, 17.498145, 17.809700, 18.328585, 24.134082, 24.437945, 25.852405, 26.964432, 28.703107, 179.151602], [50.910145, 51.135795, 53.224955, 56.512044, 60.936766, 61.658527, 62.518109, 68.646206, 75.703379, 235.385033], [29.489999, 29.690761, 31.739432, 31.816418, 33.214500, 34.277534, 34.739562, 37.054587, 39.920681, 311.378487]]
### 2
fourier: [[25.919148, 29.530818, 33.424828, 33.985380, 34.249139, 37.719174, 38.150041, 39.066224, 39.147999, 161.771932], [39.924771, 40.718729, 50.608719, 50.959932, 53.512437, 54.156353, 54.303184, 55.510406, 58.628764, 347.464916], [23.512238, 24.110884, 27.091536, 28.244951, 28.406253, 29.032084, 30.460228, 33.390170, 36.513182, 44.443398], [11.260343, 12.853525, 13.466514, 14.220161, 14.640663, 15.582601, 16.182470, 16.408181, 16.607241, 115.301828], [67.280473, 67.612700, 75.647945, 78.320625, 79.953498, 83.398871, 83.891033, 84.801723, 87.345978, 245.122335], [84.933813, 86.402863, 88.930350, 89.954377, 91.467698, 96.070920, 100.750708, 101.268825, 101.991101, 384.562085], [124.035612, 137.770663, 144.901061, 148.563739, 150.530463, 159.843657, 160.367553, 161.580876, 161.989190, 635.500796]]
### 4
fourier: [[106.998620, 115.687067, 122.634734, 123.682052, 125.435670, 132.485215, 133.704977, 134.053896, 137.761699, 553.161487], [20.515492, 22.847965, 24.429961, 25.742293, 25.828397, 26.341713, 28.252003, 28.596902, 29.912315, 178.736194], [160.186260, 174.944658, 178.514694, 186.361000, 187.407910, 199.496078, 201.551631, 201.993393, 204.480038, 799.537728], [41.246434, 43.136836, 46.777791, 47.709079, 48.500885, 51.044374, 51.369457, 52.747726, 53.361219, 240.018038], [82.422518, 90.004319, 96.604922, 98.912261, 99.104697, 106.283373, 107.602132, 108.084621, 108.478718, 496.060261], [80.098096, 84.231501, 86.829571, 88.867188, 88.896807, 94.486508, 96.508021, 96.625124, 98.966210, 387.183894], [27.625934, 30.524388, 31.769771, 31.928227, 32.119707, 32.467807, 34.369321, 34.813766, 36.112827, 188.755614]]
### 6
fourier: [[104.446991, 117.447359, 121.882169, 126.772917, 128.337970, 136.664214, 137.719181, 137.919457, 138.550317, 558.599044], [85.150253, 96.254478, 99.269092, 103.545704, 104.967515, 111.684049, 112.403525, 112.754096, 113.053675, 472.243665], [265.363581, 301.481619, 309.824775, 323.259804, 327.786290, 348.141091, 350.357989, 352.842995, 352.937380, 1414.605515], [164.063842, 186.248716, 191.224014, 199.810433, 202.727954, 215.506609, 216.728883, 217.814112, 218.028843, 898.083657], [137.853959, 157.416630, 160.892834, 168.238858, 170.775365, 181.192346, 182.170810, 183.546369, 183.859914, 807.186830], [89.009610, 100.724077, 103.839133, 108.278175, 109.753972, 116.715506, 117.485948, 117.993628, 118.237268, 495.389695], [34.286642, 37.599401, 40.074358, 41.257180, 41.539915, 44.465850, 44.597918, 45.016767, 45.244076, 214.588051]]
### 8
fourier: [[94.225218, 105.517936, 106.937916, 113.169769, 114.427540, 121.416150, 122.209945, 122.562753, 124.109312, 494.329286], [72.019451, 80.191892, 84.282412, 86.721812, 87.928450, 93.817667, 93.828457, 94.565261, 95.344491, 438.198955], [27.773417, 31.476382, 31.663567, 33.574923, 34.053524, 36.087035, 36.239196, 36.363448, 36.864474, 183.100339], [17.940639, 19.329280, 19.661371, 20.957415, 20.991440, 22.297354, 22.545250, 22.562981, 23.043332, 126.107790], [325.311405, 368.784040, 378.444935, 396.071160, 401.420767, 426.717969, 429.384090, 431.684828, 432.116840, 1700.103492], [119.766280, 135.246987, 137.612808, 144.959623, 146.836244, 155.887364, 156.801167, 157.451082, 158.642502, 631.464508], [285.013813, 323.175160, 331.731810, 347.101520, 351.804475, 373.990119, 376.326423, 378.361526, 378.649162, 1534.577461]]
### 10
fourier: [[78.233801, 82.576730, 85.170540, 90.540030, 91.313142, 96.246292, 96.258405, 96.646346, 101.123740, 347.525229]]
## 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": 0.6765612959861755, "train_acc": 0.585, "val_loss": 0.719839334487915, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6720554828643799, "train_acc": 0.585, "val_loss": 0.6401498317718506, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5828962922096252, "train_acc": 0.63, "val_loss": 1.1641517877578735, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7234302163124084, "train_acc": 0.68, "val_loss": 0.4649094343185425, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5422302782535553, "train_acc": 0.725, "val_loss": 0.5418815016746521, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6066933870315552, "train_acc": 0.685, "val_loss": 0.4907226264476776, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.571559727191925, "train_acc": 0.695, "val_loss": 0.45370304584503174, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.5027658641338348, "train_acc": 0.775, "val_loss": 0.4614105224609375, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.4912085235118866, "train_acc": 0.8, "val_loss": 0.5361731052398682, "val_acc": 0.76}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.46756649017333984, "train_acc": 0.805, "val_loss": 0.43867871165275574, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.4041893631219864, "train_acc": 0.85, "val_loss": 0.39469483494758606, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.3880038559436798, "train_acc": 0.875, "val_loss": 0.3462582528591156, "val_acc": 0.86}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.719839334487915, "final_val_loss": 0.6401498317718506, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 1.1641517877578735, "final_val_loss": 0.3462582528591156, "initial_val_acc": 0.48, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 11}, "improvement": 0.38, "first_improvement_epoch": 1}}
|
306
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8240, "learning_rate": 0.029472819912117143, "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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}
## Activation Signature
### 0
fourier: [[32.360799, 33.576881, 33.685572, 33.900154, 36.959342, 39.749593, 42.136790, 43.449943, 49.172360, 272.364385], [32.326852, 32.598324, 33.564852, 33.739210, 35.183008, 38.719915, 39.249674, 40.428225, 44.953647, 115.098524], [33.375683, 34.171505, 34.392429, 35.366377, 37.158947, 38.917241, 44.037429, 46.254963, 47.835390, 319.130743], [18.362170, 20.579170, 24.924059, 25.315707, 25.991406, 29.055841, 30.319099, 33.398120, 35.563510, 114.150948], [24.295532, 26.024922, 26.222349, 27.325391, 31.157835, 33.329583, 36.236544, 37.082694, 47.612360, 310.778602], [21.183799, 21.797480, 22.497398, 23.100814, 23.255168, 25.091563, 25.573552, 26.715590, 30.476845, 136.214230], [22.998724, 23.847198, 25.092351, 25.550243, 26.692854, 27.115899, 28.672040, 33.226993, 35.270274, 175.445017], [28.786038, 29.418340, 31.567301, 33.421630, 34.809325, 35.021765, 35.679061, 39.167668, 41.989346, 82.331840]]
### 2
fourier: [[12.223208, 13.158605, 13.176383, 13.761982, 14.374341, 15.751925, 15.789795, 15.867367, 20.290415, 122.706068], [12.452425, 12.951458, 13.142179, 14.142003, 14.415543, 14.419039, 15.940549, 16.206381, 20.228746, 147.228942], [11.467047, 13.970244, 14.062091, 14.091718, 14.918274, 15.531456, 15.635342, 17.350643, 21.077604, 115.066154], [14.723202, 15.128015, 15.668837, 16.196360, 16.397598, 16.934789, 18.689052, 19.056315, 19.126688, 22.046989], [23.941724, 24.162806, 26.655922, 28.225576, 28.378474, 28.642312, 29.538951, 31.828591, 33.952653, 187.029958], [46.428532, 46.966521, 48.530098, 52.881113, 53.929209, 57.818728, 60.128797, 63.890356, 68.627401, 415.295039], [35.061998, 35.828433, 36.696483, 38.403352, 40.675859, 43.662830, 45.959728, 49.148049, 52.641072, 312.701400], [30.887026, 31.205364, 33.288957, 34.508813, 36.204712, 37.722166, 39.450617, 40.627849, 43.934363, 265.259765]]
### 4
fourier: [[11.663288, 11.970742, 12.030613, 12.700137, 13.509939, 13.690962, 14.661818, 15.363185, 15.586836, 80.713189], [56.755890, 59.520970, 61.412747, 66.507666, 66.702959, 74.795354, 74.844038, 80.738606, 85.134700, 534.232305], [18.703657, 18.905583, 19.803696, 21.082385, 21.556179, 23.665965, 24.318959, 26.014983, 27.515108, 213.812733], [54.396728, 57.779319, 58.911167, 64.417231, 64.480986, 71.876172, 72.484879, 77.917359, 81.967832, 468.568671], [26.810449, 27.864979, 28.564939, 31.093580, 31.103509, 34.901789, 34.967710, 37.936654, 39.533486, 206.499676], [51.786104, 55.258204, 56.571183, 61.254958, 61.447134, 68.814707, 69.343119, 74.047339, 78.056505, 456.285626], [60.929657, 62.535604, 64.561529, 68.994046, 70.727795, 77.983890, 79.742901, 85.886969, 90.440257, 571.085446], [69.609059, 72.458303, 74.730058, 80.232340, 81.438497, 90.511311, 91.890679, 98.507169, 103.323715, 639.856336]]
### 6
fourier: [[59.147644, 62.620243, 63.606282, 68.752245, 69.448462, 77.749104, 79.063874, 84.861085, 88.555064, 492.815041], [143.268048, 149.746842, 152.681493, 163.492020, 166.791338, 187.504679, 187.576985, 203.247080, 212.615255, 1256.638933], [41.038254, 43.065057, 43.463818, 46.952677, 47.576684, 53.441321, 53.872853, 58.116862, 60.718540, 299.531413], [147.558162, 154.926867, 158.044755, 169.579943, 172.414523, 193.797556, 194.576410, 210.145778, 219.573017, 1312.738566], [30.764510, 32.142193, 32.537770, 34.969792, 35.990829, 39.890046, 40.587726, 43.954432, 45.836298, 245.589059], [120.202197, 126.173254, 128.587546, 138.157462, 140.334128, 157.553108, 158.534872, 171.046099, 178.730864, 1084.887064], [55.510312, 59.133361, 59.676008, 64.776315, 65.162044, 73.319048, 74.427652, 79.822460, 83.176407, 398.784141], [86.634615, 90.741662, 92.740612, 99.617756, 100.950270, 113.136659, 114.276114, 122.931691, 128.687084, 810.871176]]
### 8
fourier: [[49.157016, 49.167149, 49.275684, 51.551918, 54.168161, 59.861559, 60.812296, 65.503116, 69.138200, 347.619694], [49.609923, 52.555692, 53.238873, 57.505406, 58.180733, 65.520479, 66.513041, 71.554961, 74.295086, 414.559792], [176.617796, 181.487266, 183.560407, 194.667280, 201.067881, 224.452913, 226.460162, 244.460273, 255.631647, 1509.099874], [88.560993, 91.357340, 92.546994, 98.259263, 101.390355, 113.517658, 113.978885, 123.353901, 128.753582, 772.758141], [2.754583, 2.847384, 3.240515, 3.327221, 3.418278, 3.710589, 3.810711, 4.019461, 4.031403, 34.537270], [107.797750, 110.955497, 111.809524, 118.440331, 122.701520, 136.570450, 138.749591, 149.386694, 155.868889, 814.646316], [174.355108, 179.629372, 181.833253, 193.062840, 198.938547, 221.890486, 224.620928, 241.877727, 252.924741, 1493.994541], [119.738848, 123.679433, 124.902235, 132.671744, 136.921961, 152.798243, 154.702555, 166.746197, 173.931627, 991.161941]]
### 10
fourier: [[225.271856, 230.973347, 231.252583, 243.724250, 254.816960, 283.695132, 288.245917, 310.624483, 321.852163, 1888.717831], [4.556798, 4.669387, 4.817452, 5.017747, 5.074930, 5.266069, 5.279146, 5.785521, 6.132721, 16.322633], [188.533866, 194.077193, 194.202036, 204.963054, 213.954608, 238.396714, 242.673342, 261.284678, 270.370206, 1560.831936], [59.002131, 59.048502, 59.209255, 61.301365, 64.879022, 71.627370, 72.900387, 78.208900, 81.742470, 427.088594], [113.718056, 114.387692, 114.596807, 119.630379, 125.849830, 139.152110, 141.955229, 152.212024, 158.799877, 856.874061], [119.739045, 122.514501, 122.879875, 129.192159, 135.005290, 150.183989, 152.901008, 164.373944, 170.634357, 954.529989], [133.068981, 134.120978, 134.290211, 140.360101, 147.679043, 163.477534, 166.388251, 178.753753, 186.279368, 1041.857767], [17.381676, 18.023135, 18.031517, 19.685808, 20.099667, 22.575868, 23.109893, 25.030515, 25.454109, 168.076104]]
### 12
fourier: [[175.583532, 176.329655, 176.461520, 183.547814, 194.070151, 214.645617, 219.052140, 235.028851, 244.467488, 1346.801123]]
## 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: [[32.360799, 33.576881, 33.685572, 33.900154, 36.959342, 39.749593, 42.136790, 43.449943, 49.172360, 272.364385], [32.326852, 32.598324, 33.564852, 33.739210, 35.183008, 38.719915, 39.249674, 40.428225, 44.953647, 115.098524], [33.375683, 34.171505, 34.392429, 35.366377, 37.158947, 38.917241, 44.037429, 46.254963, 47.835390, 319.130743], [18.362170, 20.579170, 24.924059, 25.315707, 25.991406, 29.055841, 30.319099, 33.398120, 35.563510, 114.150948], [24.295532, 26.024922, 26.222349, 27.325391, 31.157835, 33.329583, 36.236544, 37.082694, 47.612360, 310.778602], [21.183799, 21.797480, 22.497398, 23.100814, 23.255168, 25.091563, 25.573552, 26.715590, 30.476845, 136.214230], [22.998724, 23.847198, 25.092351, 25.550243, 26.692854, 27.115899, 28.672040, 33.226993, 35.270274, 175.445017], [28.786038, 29.418340, 31.567301, 33.421630, 34.809325, 35.021765, 35.679061, 39.167668, 41.989346, 82.331840]]
### 2
fourier: [[12.223208, 13.158605, 13.176383, 13.761982, 14.374341, 15.751925, 15.789795, 15.867367, 20.290415, 122.706068], [12.452425, 12.951458, 13.142179, 14.142003, 14.415543, 14.419039, 15.940549, 16.206381, 20.228746, 147.228942], [11.467047, 13.970244, 14.062091, 14.091718, 14.918274, 15.531456, 15.635342, 17.350643, 21.077604, 115.066154], [14.723202, 15.128015, 15.668837, 16.196360, 16.397598, 16.934789, 18.689052, 19.056315, 19.126688, 22.046989], [23.941724, 24.162806, 26.655922, 28.225576, 28.378474, 28.642312, 29.538951, 31.828591, 33.952653, 187.029958], [46.428532, 46.966521, 48.530098, 52.881113, 53.929209, 57.818728, 60.128797, 63.890356, 68.627401, 415.295039], [35.061998, 35.828433, 36.696483, 38.403352, 40.675859, 43.662830, 45.959728, 49.148049, 52.641072, 312.701400], [30.887026, 31.205364, 33.288957, 34.508813, 36.204712, 37.722166, 39.450617, 40.627849, 43.934363, 265.259765]]
### 4
fourier: [[11.663288, 11.970742, 12.030613, 12.700137, 13.509939, 13.690962, 14.661818, 15.363185, 15.586836, 80.713189], [56.755890, 59.520970, 61.412747, 66.507666, 66.702959, 74.795354, 74.844038, 80.738606, 85.134700, 534.232305], [18.703657, 18.905583, 19.803696, 21.082385, 21.556179, 23.665965, 24.318959, 26.014983, 27.515108, 213.812733], [54.396728, 57.779319, 58.911167, 64.417231, 64.480986, 71.876172, 72.484879, 77.917359, 81.967832, 468.568671], [26.810449, 27.864979, 28.564939, 31.093580, 31.103509, 34.901789, 34.967710, 37.936654, 39.533486, 206.499676], [51.786104, 55.258204, 56.571183, 61.254958, 61.447134, 68.814707, 69.343119, 74.047339, 78.056505, 456.285626], [60.929657, 62.535604, 64.561529, 68.994046, 70.727795, 77.983890, 79.742901, 85.886969, 90.440257, 571.085446], [69.609059, 72.458303, 74.730058, 80.232340, 81.438497, 90.511311, 91.890679, 98.507169, 103.323715, 639.856336]]
### 6
fourier: [[59.147644, 62.620243, 63.606282, 68.752245, 69.448462, 77.749104, 79.063874, 84.861085, 88.555064, 492.815041], [143.268048, 149.746842, 152.681493, 163.492020, 166.791338, 187.504679, 187.576985, 203.247080, 212.615255, 1256.638933], [41.038254, 43.065057, 43.463818, 46.952677, 47.576684, 53.441321, 53.872853, 58.116862, 60.718540, 299.531413], [147.558162, 154.926867, 158.044755, 169.579943, 172.414523, 193.797556, 194.576410, 210.145778, 219.573017, 1312.738566], [30.764510, 32.142193, 32.537770, 34.969792, 35.990829, 39.890046, 40.587726, 43.954432, 45.836298, 245.589059], [120.202197, 126.173254, 128.587546, 138.157462, 140.334128, 157.553108, 158.534872, 171.046099, 178.730864, 1084.887064], [55.510312, 59.133361, 59.676008, 64.776315, 65.162044, 73.319048, 74.427652, 79.822460, 83.176407, 398.784141], [86.634615, 90.741662, 92.740612, 99.617756, 100.950270, 113.136659, 114.276114, 122.931691, 128.687084, 810.871176]]
### 8
fourier: [[49.157016, 49.167149, 49.275684, 51.551918, 54.168161, 59.861559, 60.812296, 65.503116, 69.138200, 347.619694], [49.609923, 52.555692, 53.238873, 57.505406, 58.180733, 65.520479, 66.513041, 71.554961, 74.295086, 414.559792], [176.617796, 181.487266, 183.560407, 194.667280, 201.067881, 224.452913, 226.460162, 244.460273, 255.631647, 1509.099874], [88.560993, 91.357340, 92.546994, 98.259263, 101.390355, 113.517658, 113.978885, 123.353901, 128.753582, 772.758141], [2.754583, 2.847384, 3.240515, 3.327221, 3.418278, 3.710589, 3.810711, 4.019461, 4.031403, 34.537270], [107.797750, 110.955497, 111.809524, 118.440331, 122.701520, 136.570450, 138.749591, 149.386694, 155.868889, 814.646316], [174.355108, 179.629372, 181.833253, 193.062840, 198.938547, 221.890486, 224.620928, 241.877727, 252.924741, 1493.994541], [119.738848, 123.679433, 124.902235, 132.671744, 136.921961, 152.798243, 154.702555, 166.746197, 173.931627, 991.161941]]
### 10
fourier: [[225.271856, 230.973347, 231.252583, 243.724250, 254.816960, 283.695132, 288.245917, 310.624483, 321.852163, 1888.717831], [4.556798, 4.669387, 4.817452, 5.017747, 5.074930, 5.266069, 5.279146, 5.785521, 6.132721, 16.322633], [188.533866, 194.077193, 194.202036, 204.963054, 213.954608, 238.396714, 242.673342, 261.284678, 270.370206, 1560.831936], [59.002131, 59.048502, 59.209255, 61.301365, 64.879022, 71.627370, 72.900387, 78.208900, 81.742470, 427.088594], [113.718056, 114.387692, 114.596807, 119.630379, 125.849830, 139.152110, 141.955229, 152.212024, 158.799877, 856.874061], [119.739045, 122.514501, 122.879875, 129.192159, 135.005290, 150.183989, 152.901008, 164.373944, 170.634357, 954.529989], [133.068981, 134.120978, 134.290211, 140.360101, 147.679043, 163.477534, 166.388251, 178.753753, 186.279368, 1041.857767], [17.381676, 18.023135, 18.031517, 19.685808, 20.099667, 22.575868, 23.109893, 25.030515, 25.454109, 168.076104]]
### 12
fourier: [[175.583532, 176.329655, 176.461520, 183.547814, 194.070151, 214.645617, 219.052140, 235.028851, 244.467488, 1346.801123]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [175.58353189888803, 176.32965462445287, 176.461520480977, 183.54781362359535, 194.07015056061292, 214.64561683992244, 219.05214012609088, 235.02885112196373, 244.46748835769395, 1346.801123380661]}}, "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": [[0.511931, 0.764949, 0.342951, 0.251922, -0.301354], [-0.78468, -0.772104, -0.06967, 0.307855, 0.261499], [0.756613, 0.44867, 0.424801, 0.35096, -0.109233], [-0.342778, -0.694209, 0.093038, -0.094314, 0.296768], [0.025974, -0.485438, -0.611827, 0.115417, -0.667927], [0.469513, 0.589461, -0.178177, -0.028559, 0.240089], [0.113275, 0.580181, 0.435238, 0.180075, -0.432481], [-0.891247, -0.456928, 0.008539, 0.062596, 0.49994]], "network.0.bias": [0.110347, 0.267405, 0.281504, 0.06512, -0.746534, -0.007594, -0.010727, 0.258272], "network.2.weight": [[-0.189825, -0.670693, -0.140779, -0.721284, 0.460672, 0.083515, 0.123489, -0.685696], [-0.062215, -0.73197, -0.081829, -0.33753, 0.357582, -0.150573, 0.088908, -0.666537], [0.206161, -0.619284, -0.444483, -0.488963, 0.143021, -0.083137, 0.313017, -0.355059], [0.127316, -0.551979, -0.220335, -0.423145, 0.657561, 0.086291, 0.481403, -0.280425], [0.082412, -0.066867, 0.123772, -0.31885, -0.160582, 0.170745, 0.531664, -0.468974], [0.487654, -0.361179, 0.275966, -0.174075, -0.501015, 0.595023, 0.43271, -0.225592], [0.590767, -0.353774, 0.122438, -0.219343, -0.096021, 0.416962, 0.173185, 0.050571], [0.138897, -0.557766, 0.346626, 0.040951, -0.214609, 0.312077, 0.325138, -0.098376]], "network.2.bias": [-0.290336, -0.744633, -0.570804, -0.367089, 0.248806, 0.577538, 0.382742, 0.35314], "network.4.weight": [[0.107591, 0.297512, -0.264284, -0.287674, -0.363734, -0.116857, 0.188571, -0.066142], [-0.314828, -0.408611, 0.064744, -0.250304, 0.052839, 0.500148, 0.483741, 0.599645], [-0.186361, -0.33584, -0.129996, -0.009172, -0.040031, 0.20681, 0.227142, 0.067677], [-0.136416, -0.161062, 0.371317, -0.285792, 0.098815, 0.637335, 0.209388, 0.612214], [-0.033359, 0.204844, -0.418616, 0.093684, 0.011317, -0.188455, -0.199008, -0.40002], [0.063403, -0.240245, -0.148514, -0.324185, 0.27023, 0.289167, 0.395141, 0.725593], [0.066549, -0.367217, -0.302469, -0.035261, -0.123157, 0.700993, 0.611346, 0.33321], [-0.139761, -0.566887, -0.071562, -0.123158, 0.114766, 0.54884, 0.632705, 0.692316]], "network.4.bias": [0.059365, 0.140829, 0.464006, -0.313252, 0.33218, -0.206108, 0.261853, 0.122732], "network.6.weight": [[-0.262136, 0.006624, 0.128274, 0.52751, -0.055544, 0.251333, 0.22022, 0.012633], [0.0467, 0.068103, 0.026859, 0.507931, -0.637767, 0.398642, 0.675673, 0.688132], [0.011877, -0.024874, 0.249738, -0.475679, 0.405843, 0.106199, 0.046982, -0.37652], [0.006444, 0.30386, 0.046683, 0.314268, -0.315475, 0.75624, 0.534255, 0.564647], [-0.268383, 0.052453, 0.376871, -0.368026, 0.19027, 0.254617, -0.293866, -0.232299], [-0.047252, 0.228915, 0.182182, 0.566122, -0.399687, 0.394296, 0.290187, 0.482936], [-0.139307, -0.169238, 0.45543, -0.352236, 0.228856, -0.482885, -0.073985, -0.079637], [-0.124283, 0.607118, 0.306054, 0.222236, -0.201788, 0.336675, 0.163105, 0.081318]], "network.6.bias": [-0.36776, -0.310006, 0.558213, -0.149154, 0.203258, 0.082634, 0.808434, 0.241172], "network.8.weight": [[-0.34391, -0.35633, 0.668973, 0.027411, 0.557871, 0.196574, 0.255478, -0.015913], [-0.378608, 0.018933, -0.194017, -0.117127, 0.328638, -0.078394, -0.052173, -0.042884], [-0.054571, 0.618106, -0.440366, 0.010582, -0.749373, 0.344536, -0.503388, 0.485133], [-0.307183, 0.364953, -0.511762, 0.172599, -0.07592, 0.034378, 0.070304, 0.260812], [0.088098, -0.339858, 0.387403, 0.079479, 0.175368, 0.050227, -0.22791, 0.324919], [-0.722068, -0.378699, 0.493364, -0.22529, -0.003559, -0.015448, 0.709889, 0.337104], [0.309207, 0.15461, -0.630634, 0.478535, -0.371764, 0.21554, -0.565922, 0.357174], [0.395767, 0.23991, -0.143646, 0.240512, -0.243168, 0.358415, -0.64265, -0.241219]], "network.8.bias": [0.345896, 0.254415, -0.189761, -0.092818, -0.026457, 0.551852, 0.02447, -0.103019], "network.10.weight": [[-0.174688, -0.138994, 0.448566, 0.292024, -0.171987, -0.459652, 0.562143, 0.157694], [-0.098919, -0.423522, 0.160638, -0.338737, -0.495384, 0.488053, 0.187999, -0.271846], [0.092778, 0.233523, 0.378562, -0.068175, -0.146631, -0.52352, 0.409169, 0.456343], [0.172533, 0.173156, -0.195325, 0.210005, 0.09157, 0.444249, -0.051014, -0.256056], [0.559987, -0.031791, -0.055348, 0.217916, -0.311736, 0.560308, -0.288455, -0.551465], [0.063824, -0.367117, 0.181707, -0.34718, 8.5e-05, 0.532569, -0.163383, -0.745079], [0.496183, 0.211738, -0.320756, 0.172639, -0.329859, 0.648972, -0.074622, -0.596593], [-0.333301, 0.212323, -0.194491, 0.073195, 0.057071, 0.415627, 0.281782, -0.027015]], "network.10.bias": [-0.003729, 0.334265, -0.150296, 0.313285, 0.387209, 0.177221, 0.121401, 0.077829], "network.12.weight": [[-0.494052, 0.124546, -0.311097, 0.237451, 0.455605, 0.224811, 0.246939, 0.098384]], "network.12.bias": [0.500034]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7197960913181305, "train_acc": 0.42, "val_loss": 0.6891862750053406, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6981059908866882, "train_acc": 0.42, "val_loss": 0.689389705657959, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.663600742816925, "train_acc": 0.58, "val_loss": 0.674893319606781, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6088370382785797, "train_acc": 0.58, "val_loss": 0.6112295985221863, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5556011497974396, "train_acc": 0.51, "val_loss": 0.48959219455718994, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.447261244058609, "train_acc": 0.65, "val_loss": 0.40299785137176514, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.36100509762763977, "train_acc": 0.925, "val_loss": 0.3506934344768524, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3455294072628021, "train_acc": 0.88, "val_loss": 0.32663628458976746, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3318512737751007, "train_acc": 0.91, "val_loss": 0.2967049777507782, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.30855220556259155, "train_acc": 0.895, "val_loss": 0.2582758665084839, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.23023302108049393, "train_acc": 0.92, "val_loss": 0.19634966552257538, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2311442419886589, "train_acc": 0.93, "val_loss": 0.14865098893642426, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23562389612197876, "train_acc": 0.925, "val_loss": 0.20184463262557983, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.23989077657461166, "train_acc": 0.925, "val_loss": 0.19670461118221283, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6891862750053406, "final_val_loss": 0.6112295985221863, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.48959219455718994, "final_val_loss": 0.19670461118221283, "initial_val_acc": 0.46, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.49999999999999994, "first_improvement_epoch": 3}}
|
307
|
{"target_pattern": "sorted_ascending", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3317, "learning_rate": 0.09100539521971976, "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: 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: [[32.218496, 32.304566, 32.844125, 33.167868, 35.383271, 40.660179, 40.681756, 47.649247, 49.525365, 216.779967], [31.428892, 31.438639, 32.773792, 33.572026, 33.947672, 36.504864, 39.715536, 43.779220, 49.621129, 418.562878], [55.562311, 57.507881, 58.365037, 58.936193, 59.022988, 67.204418, 68.445048, 74.450264, 79.185677, 455.383756], [24.756263, 25.031038, 25.322113, 28.412047, 31.197317, 34.185442, 34.379297, 35.700938, 41.601944, 324.712167], [21.784706, 22.748737, 23.470295, 23.981917, 25.815584, 27.871421, 27.949343, 34.648879, 36.761123, 250.440084], [31.436835, 31.769618, 35.114605, 36.101630, 37.131458, 39.705399, 40.263137, 41.090275, 41.724009, 91.769277], [31.212282, 32.404700, 33.042974, 35.177576, 35.287753, 37.760963, 38.910808, 47.314357, 51.497267, 383.074790], [36.587543, 36.932247, 40.255307, 40.669289, 41.130092, 51.656978, 53.029890, 63.246874, 67.542478, 462.364888]]
### 2
fourier: [[51.762482, 52.067077, 52.521863, 59.617266, 63.589649, 66.455407, 69.682354, 70.283089, 71.752497, 424.967534], [15.795311, 16.804551, 17.470930, 18.761395, 20.093275, 20.853801, 21.327890, 21.441469, 23.812696, 153.996133], [17.161637, 17.427340, 18.042628, 18.248560, 19.198860, 19.707755, 20.081333, 25.565313, 26.595371, 107.861139], [8.401103, 8.905280, 9.057989, 9.919332, 10.174465, 10.595673, 11.022792, 11.156400, 14.792390, 69.627872], [66.446373, 68.208515, 70.382121, 81.260269, 81.837050, 89.296931, 89.472492, 91.009175, 96.620528, 552.245351], [17.679628, 18.179644, 18.376893, 18.498995, 19.290598, 20.265182, 21.922830, 23.229867, 25.257245, 145.438596], [13.726723, 14.250956, 14.554375, 14.748605, 15.808860, 17.189084, 17.751967, 18.778634, 20.246727, 26.052871], [29.548517, 30.094849, 31.117412, 34.385477, 35.215132, 36.843690, 40.575536, 41.118571, 43.259805, 285.834745]]
### 4
fourier: [[27.114450, 30.123140, 31.923943, 32.096526, 33.796638, 34.453086, 37.120001, 40.240940, 40.286926, 259.728374], [17.324507, 18.341841, 19.327269, 20.622180, 20.982250, 21.390977, 22.714762, 24.912295, 25.344498, 195.946919], [38.154042, 42.524866, 45.148093, 45.430487, 47.497289, 48.868888, 52.091585, 56.681394, 57.016673, 405.633182], [2.527306, 2.679057, 2.703346, 2.809522, 2.938306, 3.231924, 3.281078, 3.715021, 4.187184, 57.567887], [14.916831, 17.357648, 17.799782, 18.577231, 18.835992, 19.762819, 20.763957, 22.691448, 22.704106, 187.339231], [83.150362, 83.399245, 83.703682, 99.495014, 103.380490, 111.020699, 111.179013, 115.027357, 121.474452, 657.792863], [35.161690, 36.871530, 37.601358, 43.016871, 43.177418, 43.707515, 46.862945, 49.648703, 51.492289, 383.799843], [112.109320, 112.236040, 112.803605, 134.077493, 139.433350, 149.001812, 149.906177, 155.837198, 163.320941, 852.888169]]
### 6
fourier: [[28.813968, 29.117342, 29.730872, 34.888805, 35.722671, 38.344382, 39.107947, 40.335633, 43.054232, 243.620574], [140.992409, 142.516819, 144.798274, 170.253465, 174.745735, 187.537497, 191.566716, 196.947090, 210.340624, 1092.678179], [4.132534, 4.339999, 4.405808, 5.019100, 5.358011, 5.730711, 5.864855, 5.996120, 6.316197, 23.718177], [8.853590, 8.956727, 8.966032, 10.604701, 10.963770, 11.759859, 12.067494, 12.288987, 13.146539, 90.627467], [84.775391, 85.679803, 87.271367, 102.510973, 105.086349, 112.789016, 115.122314, 118.548568, 126.574140, 645.619466], [87.207530, 88.144139, 89.668598, 105.379276, 108.093018, 116.010889, 118.456978, 121.883440, 130.153470, 710.076087], [33.011111, 33.372677, 33.822933, 39.808054, 40.907910, 43.898533, 44.876058, 46.062833, 49.209206, 272.880678], [71.223196, 72.005700, 72.933560, 85.859856, 88.257843, 94.707988, 96.834798, 99.357429, 106.151329, 580.166639]]
### 8
fourier: [[44.741517, 45.022013, 45.152761, 53.339834, 54.537810, 58.558839, 59.776820, 61.638661, 66.410973, 293.817022], [60.918492, 61.560035, 62.543000, 73.413542, 75.008202, 80.486139, 81.927995, 84.933325, 90.894501, 519.595544], [180.744542, 182.611909, 184.951820, 217.496572, 222.320972, 238.611656, 242.983801, 251.623469, 269.445505, 1348.157326], [6.624957, 6.707041, 6.943432, 7.459329, 7.689239, 8.282208, 8.521211, 8.693120, 9.822645, 49.442109], [190.933185, 193.064352, 196.167850, 230.301589, 235.349955, 252.548378, 257.015379, 266.493656, 284.973926, 1437.065838], [52.999386, 53.403726, 54.657002, 63.942945, 65.322866, 70.069953, 71.192327, 74.043483, 78.863833, 381.462304], [39.299467, 39.680074, 40.130905, 47.222873, 48.271365, 51.811571, 52.780533, 54.622470, 58.547379, 269.666545], [1.403955, 1.467811, 1.542120, 1.620274, 1.782733, 1.900259, 2.036433, 2.169134, 2.282225, 81.011969]]
### 10
fourier: [[89.556929, 91.649589, 94.573944, 108.131623, 110.629626, 118.226376, 120.747623, 125.063220, 133.228526, 710.788690], [208.788446, 209.541724, 215.298263, 249.780657, 255.462528, 273.564386, 279.274784, 288.794443, 309.537103, 1480.534299], [210.586196, 212.923987, 219.233899, 252.767450, 258.615312, 276.694806, 282.754570, 292.209346, 312.697798, 1584.449347], [10.672033, 11.151992, 11.513709, 12.977804, 13.272989, 14.152618, 14.452691, 15.017310, 15.927079, 109.714851], [317.904042, 321.044139, 330.390813, 381.502833, 390.234707, 417.618411, 426.367060, 441.156797, 471.807563, 2334.610691], [265.528873, 267.709410, 275.357218, 318.538027, 325.751022, 348.711380, 355.659017, 368.461319, 393.825836, 1958.009289], [11.504150, 12.184206, 12.693651, 13.828362, 14.213355, 15.066481, 15.734656, 15.880149, 17.119669, 89.739258], [128.802224, 129.579774, 133.284512, 154.573318, 158.029105, 169.241073, 172.256167, 178.936090, 190.815653, 1035.692694]]
### 12
fourier: [[443.217283, 454.657508, 469.752834, 534.854515, 547.728285, 584.902483, 599.770654, 617.777032, 660.578494, 3263.431062]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[32.218496, 32.304566, 32.844125, 33.167868, 35.383271, 40.660179, 40.681756, 47.649247, 49.525365, 216.779967], [31.428892, 31.438639, 32.773792, 33.572026, 33.947672, 36.504864, 39.715536, 43.779220, 49.621129, 418.562878], [55.562311, 57.507881, 58.365037, 58.936193, 59.022988, 67.204418, 68.445048, 74.450264, 79.185677, 455.383756], [24.756263, 25.031038, 25.322113, 28.412047, 31.197317, 34.185442, 34.379297, 35.700938, 41.601944, 324.712167], [21.784706, 22.748737, 23.470295, 23.981917, 25.815584, 27.871421, 27.949343, 34.648879, 36.761123, 250.440084], [31.436835, 31.769618, 35.114605, 36.101630, 37.131458, 39.705399, 40.263137, 41.090275, 41.724009, 91.769277], [31.212282, 32.404700, 33.042974, 35.177576, 35.287753, 37.760963, 38.910808, 47.314357, 51.497267, 383.074790], [36.587543, 36.932247, 40.255307, 40.669289, 41.130092, 51.656978, 53.029890, 63.246874, 67.542478, 462.364888]]
### 2
fourier: [[51.762482, 52.067077, 52.521863, 59.617266, 63.589649, 66.455407, 69.682354, 70.283089, 71.752497, 424.967534], [15.795311, 16.804551, 17.470930, 18.761395, 20.093275, 20.853801, 21.327890, 21.441469, 23.812696, 153.996133], [17.161637, 17.427340, 18.042628, 18.248560, 19.198860, 19.707755, 20.081333, 25.565313, 26.595371, 107.861139], [8.401103, 8.905280, 9.057989, 9.919332, 10.174465, 10.595673, 11.022792, 11.156400, 14.792390, 69.627872], [66.446373, 68.208515, 70.382121, 81.260269, 81.837050, 89.296931, 89.472492, 91.009175, 96.620528, 552.245351], [17.679628, 18.179644, 18.376893, 18.498995, 19.290598, 20.265182, 21.922830, 23.229867, 25.257245, 145.438596], [13.726723, 14.250956, 14.554375, 14.748605, 15.808860, 17.189084, 17.751967, 18.778634, 20.246727, 26.052871], [29.548517, 30.094849, 31.117412, 34.385477, 35.215132, 36.843690, 40.575536, 41.118571, 43.259805, 285.834745]]
### 4
fourier: [[27.114450, 30.123140, 31.923943, 32.096526, 33.796638, 34.453086, 37.120001, 40.240940, 40.286926, 259.728374], [17.324507, 18.341841, 19.327269, 20.622180, 20.982250, 21.390977, 22.714762, 24.912295, 25.344498, 195.946919], [38.154042, 42.524866, 45.148093, 45.430487, 47.497289, 48.868888, 52.091585, 56.681394, 57.016673, 405.633182], [2.527306, 2.679057, 2.703346, 2.809522, 2.938306, 3.231924, 3.281078, 3.715021, 4.187184, 57.567887], [14.916831, 17.357648, 17.799782, 18.577231, 18.835992, 19.762819, 20.763957, 22.691448, 22.704106, 187.339231], [83.150362, 83.399245, 83.703682, 99.495014, 103.380490, 111.020699, 111.179013, 115.027357, 121.474452, 657.792863], [35.161690, 36.871530, 37.601358, 43.016871, 43.177418, 43.707515, 46.862945, 49.648703, 51.492289, 383.799843], [112.109320, 112.236040, 112.803605, 134.077493, 139.433350, 149.001812, 149.906177, 155.837198, 163.320941, 852.888169]]
### 6
fourier: [[28.813968, 29.117342, 29.730872, 34.888805, 35.722671, 38.344382, 39.107947, 40.335633, 43.054232, 243.620574], [140.992409, 142.516819, 144.798274, 170.253465, 174.745735, 187.537497, 191.566716, 196.947090, 210.340624, 1092.678179], [4.132534, 4.339999, 4.405808, 5.019100, 5.358011, 5.730711, 5.864855, 5.996120, 6.316197, 23.718177], [8.853590, 8.956727, 8.966032, 10.604701, 10.963770, 11.759859, 12.067494, 12.288987, 13.146539, 90.627467], [84.775391, 85.679803, 87.271367, 102.510973, 105.086349, 112.789016, 115.122314, 118.548568, 126.574140, 645.619466], [87.207530, 88.144139, 89.668598, 105.379276, 108.093018, 116.010889, 118.456978, 121.883440, 130.153470, 710.076087], [33.011111, 33.372677, 33.822933, 39.808054, 40.907910, 43.898533, 44.876058, 46.062833, 49.209206, 272.880678], [71.223196, 72.005700, 72.933560, 85.859856, 88.257843, 94.707988, 96.834798, 99.357429, 106.151329, 580.166639]]
### 8
fourier: [[44.741517, 45.022013, 45.152761, 53.339834, 54.537810, 58.558839, 59.776820, 61.638661, 66.410973, 293.817022], [60.918492, 61.560035, 62.543000, 73.413542, 75.008202, 80.486139, 81.927995, 84.933325, 90.894501, 519.595544], [180.744542, 182.611909, 184.951820, 217.496572, 222.320972, 238.611656, 242.983801, 251.623469, 269.445505, 1348.157326], [6.624957, 6.707041, 6.943432, 7.459329, 7.689239, 8.282208, 8.521211, 8.693120, 9.822645, 49.442109], [190.933185, 193.064352, 196.167850, 230.301589, 235.349955, 252.548378, 257.015379, 266.493656, 284.973926, 1437.065838], [52.999386, 53.403726, 54.657002, 63.942945, 65.322866, 70.069953, 71.192327, 74.043483, 78.863833, 381.462304], [39.299467, 39.680074, 40.130905, 47.222873, 48.271365, 51.811571, 52.780533, 54.622470, 58.547379, 269.666545], [1.403955, 1.467811, 1.542120, 1.620274, 1.782733, 1.900259, 2.036433, 2.169134, 2.282225, 81.011969]]
### 10
fourier: [[89.556929, 91.649589, 94.573944, 108.131623, 110.629626, 118.226376, 120.747623, 125.063220, 133.228526, 710.788690], [208.788446, 209.541724, 215.298263, 249.780657, 255.462528, 273.564386, 279.274784, 288.794443, 309.537103, 1480.534299], [210.586196, 212.923987, 219.233899, 252.767450, 258.615312, 276.694806, 282.754570, 292.209346, 312.697798, 1584.449347], [10.672033, 11.151992, 11.513709, 12.977804, 13.272989, 14.152618, 14.452691, 15.017310, 15.927079, 109.714851], [317.904042, 321.044139, 330.390813, 381.502833, 390.234707, 417.618411, 426.367060, 441.156797, 471.807563, 2334.610691], [265.528873, 267.709410, 275.357218, 318.538027, 325.751022, 348.711380, 355.659017, 368.461319, 393.825836, 1958.009289], [11.504150, 12.184206, 12.693651, 13.828362, 14.213355, 15.066481, 15.734656, 15.880149, 17.119669, 89.739258], [128.802224, 129.579774, 133.284512, 154.573318, 158.029105, 169.241073, 172.256167, 178.936090, 190.815653, 1035.692694]]
### 12
fourier: [[443.217283, 454.657508, 469.752834, 534.854515, 547.728285, 584.902483, 599.770654, 617.777032, 660.578494, 3263.431062]]
## 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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{"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [443.2172832774506, 454.65750800180655, 469.752834390761, 534.8545153127557, 547.7282854052, 584.9024827569949, 599.7706538996518, 617.7770323237748, 660.5784943911059, 3263.4310619831085]}}, "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": "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.904757, 0.258587, 0.461002, 0.06489, -0.60604], [-0.357981, -0.255923, -0.73752, -0.31981, -0.399759], [0.915181, 1.257323, 0.649505, 0.279601, -0.296337], [-0.24884, -0.319897, -0.30081, -0.504811, -0.439967], [-0.540818, -0.254192, -0.041607, -0.518461, -0.01225], [-0.69531, -0.832471, 0.024582, 0.267484, 0.511709], [-0.125103, -0.272367, -0.906322, -0.16813, -0.53747], [-0.468913, -0.729917, -0.159572, -0.961312, -0.255641]], "network.0.bias": [0.456858, -1.019414, 0.038956, -0.461798, -0.432624, 0.1065, -0.687761, -0.513681], "network.2.weight": [[0.650542, 0.134756, 0.579039, -0.058602, -0.377712, -0.543049, 0.396966, 0.278083], [-0.324939, -0.198167, -0.128122, 0.007111, 0.01383, 0.017626, -0.037994, 0.055642], [-0.514337, 0.167579, -0.002367, 0.026552, -0.082062, 0.292816, 0.547706, -0.550214], [0.180147, -0.017938, -0.237961, -0.393094, -0.286702, -0.607418, 0.545444, 0.015625], [1.028598, 0.646323, 0.700798, 0.332679, 0.107434, -0.356474, 0.384764, 0.025074], [0.070731, -0.163851, -0.343501, -0.079785, 0.098935, 0.091994, -0.486198, -0.58722], [-0.352795, -0.422468, -0.010195, 0.210955, -0.263342, 0.64536, -0.103456, -0.025327], [-0.278748, -0.007738, -0.445296, 0.088298, 0.045109, -0.47422, -0.465986, 0.057119]], "network.2.bias": [0.337764, -0.242099, 0.010475, 0.204339, 0.103014, -0.089181, 0.84501, -0.030537], "network.4.weight": [[-0.175021, -0.078021, -0.304519, -0.042183, -0.326066, 0.424536, -0.409779, -0.137321], [-0.185592, -0.314733, -0.540995, -0.081379, -0.135727, 0.005032, -0.087598, -0.129263], [-0.109326, 0.066604, -0.433249, -0.049928, -0.560271, 0.092624, -0.536608, 0.111757], [0.058683, -0.536991, -0.122698, -0.468656, -0.093289, -0.028449, -0.197768, -0.214215], [0.10044, -0.015273, -0.061336, -0.078707, -0.335771, -0.100395, -0.26957, -0.130759], [0.798528, 0.053402, 0.149419, 0.070579, 0.609006, 0.111016, -0.483175, 0.350153], [-0.299708, -0.3491, -0.466327, 0.09117, -0.325759, 0.249045, -0.17913, 0.104883], [0.85805, -0.035973, -0.245424, 0.317412, 0.983955, -0.040791, -0.599607, -0.060149]], "network.4.bias": [0.192461, -0.370713, -0.220861, -0.22083, -0.342691, -0.009081, -0.705634, -0.352495], "network.6.weight": [[-0.28077, 0.064119, -0.589763, 0.344068, 0.1148, -0.016085, 0.253801, -0.252725], [0.31582, 0.111408, 0.046086, -0.214759, -0.346824, 0.722463, 0.332157, 0.754352], [0.374926, -0.121144, -0.000324, 0.538306, 0.24126, -0.329236, 0.343442, 0.206772], [-0.302178, -0.115861, 0.295127, 0.055974, 0.152966, -0.165042, -0.328602, 0.042287], [-0.537931, -0.060952, -0.107662, -0.185043, 0.213428, 0.238077, 0.360109, 0.600651], [-0.076109, 0.047283, -0.459281, 0.112552, 0.193474, -0.345632, -0.233408, -0.542424], [-0.241259, 0.223854, 0.067336, -0.086383, -0.133857, -0.244109, -0.344626, -0.120465], [-0.181673, 0.026924, 0.032947, 0.096148, -0.169857, -0.56562, -0.259348, -0.230736]], "network.6.bias": [-0.159437, -0.436582, 0.704202, -0.196309, -0.354745, -0.127898, -0.074131, -0.057734], "network.8.weight": [[-0.514785, 0.248629, -0.47382, -0.160078, 0.094284, 0.231629, 0.200782, 0.172902], [-0.093449, -0.219553, 0.232136, -0.193349, -0.346699, -0.344796, 0.106944, -0.040861], [-0.221423, 1.066136, -0.777193, -0.342102, 0.332391, -0.030417, 0.309809, 0.068777], [0.344945, -0.092031, 0.517097, 0.20698, 0.09585, 0.101577, -0.277925, 0.083645], [0.072148, 0.933048, -0.559578, -0.038237, 0.68602, 0.274486, -0.138707, 0.030495], [0.081619, 0.215415, 0.060035, -0.301688, 0.269673, 0.074027, 0.014193, -0.049015], [0.062252, 0.225646, -0.208001, -0.310225, 0.080688, -0.066949, 0.086242, -0.571348], [0.465842, 0.033168, 0.725724, -0.320077, -0.044534, -0.225426, 0.215403, -0.516878]], "network.8.bias": [-0.292697, -0.673594, -0.154414, -0.28368, -0.164194, -0.348265, -0.267499, 0.586874], "network.10.weight": [[-0.309331, 0.297073, -0.003644, -0.350417, -0.386084, -0.13262, 0.095911, -0.436087], [-0.114053, 0.412647, 0.698267, -0.029852, 0.441415, 0.02168, 0.046823, -0.773745], [0.162465, 0.239975, 0.701228, -0.226832, 0.374104, 0.017472, 0.148308, -0.167109], [-0.024505, 0.166415, -0.23132, -0.239611, 0.171218, -0.072194, 0.071079, -0.15385], [-0.005238, 0.153521, 0.764628, 0.195462, 0.82612, 0.279753, 0.231436, -0.28208], [-0.134222, 0.501047, 0.666141, 0.448976, 0.684667, 0.456531, -0.071259, -0.162922], [-0.184688, -0.292754, 0.156798, -0.178129, -0.109136, -0.184442, -0.033208, 0.174367], [0.024906, -0.080688, -0.533749, 0.038334, -0.207109, -0.214957, 0.425763, -0.400331]], "network.10.bias": [0.072355, -0.328993, 0.088918, -0.161683, -0.505508, -0.435609, -0.247848, -0.23657], "network.12.weight": [[-0.212172, 0.067887, -0.384695, -0.135433, -0.880403, -0.385273, 0.10286, -0.12005]], "network.12.bias": [0.792683]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6859901547431946, "train_acc": 0.575, "val_loss": 0.7586897015571594, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6794060468673706, "train_acc": 0.575, "val_loss": 0.6889616250991821, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5937184393405914, "train_acc": 0.515, "val_loss": 0.4694500267505646, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43266524374485016, "train_acc": 0.85, "val_loss": 0.5649001002311707, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.43247033655643463, "train_acc": 0.85, "val_loss": 0.5855039954185486, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.40347445011138916, "train_acc": 0.855, "val_loss": 0.44259917736053467, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.363837867975235, "train_acc": 0.86, "val_loss": 0.416410356760025, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.343146950006485, "train_acc": 0.875, "val_loss": 0.8733152747154236, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.7949835956096649, "train_acc": 0.835, "val_loss": 0.2541497051715851, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3395237326622009, "train_acc": 0.855, "val_loss": 0.36305609345436096, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.44835974276065826, "train_acc": 0.79, "val_loss": 0.4064835011959076, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.4955265074968338, "train_acc": 0.75, "val_loss": 0.38410407304763794, "val_acc": 0.84}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7586897015571594, "final_val_loss": 0.6889616250991821, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4694500267505646, "final_val_loss": 0.38410407304763794, "initial_val_acc": 0.88, "final_val_acc": 0.84, "best_val_acc": 0.94, "best_epoch": 6}, "improvement": 0.49999999999999994, "first_improvement_epoch": 1}}
|
308
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3099, "learning_rate": 0.032429238220224046, "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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[
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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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[
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.449106, 24.717308, 24.997381, 25.387381, 26.152117, 26.446735, 27.775950, 28.107551, 31.671429, 104.952315], [15.395968, 15.897648, 16.138004, 17.826924, 19.602090, 20.888120, 20.965325, 23.010620, 26.111490, 30.274886], [34.451537, 35.452459, 37.207414, 37.294518, 39.810993, 40.079947, 41.097581, 50.690384, 54.937774, 402.845686], [12.522335, 12.768956, 12.928388, 13.064403, 13.272173, 14.003727, 16.820320, 20.545615, 21.968482, 22.221450], [18.696670, 19.796231, 21.867553, 22.088703, 23.186463, 25.566173, 29.141797, 33.175444, 33.428239, 135.385471], [32.209474, 32.751072, 34.362283, 35.412313, 38.926026, 45.046317, 48.634660, 54.480270, 57.207459, 440.421840]]
### 2
fourier: [[24.171069, 27.828039, 29.571348, 29.895101, 30.777794, 31.941821, 32.981344, 34.452950, 39.606325, 292.122486], [14.234186, 14.722249, 16.473160, 17.463310, 19.383534, 24.913197, 25.517903, 26.000887, 31.429743, 88.411545], [17.682680, 17.785701, 19.461193, 19.592332, 21.540089, 26.152018, 30.577318, 31.322438, 35.201335, 99.795122], [15.587576, 15.926774, 16.508577, 17.632021, 19.226926, 21.067568, 21.271195, 21.361251, 24.496227, 220.954368], [17.275471, 18.279116, 18.414780, 20.290288, 22.891078, 28.471219, 29.272053, 30.864492, 36.628972, 82.567164], [24.477035, 28.176871, 31.044326, 32.359742, 32.694717, 34.059230, 34.269311, 37.546089, 40.691968, 399.479335]]
### 4
fourier: [[11.029354, 11.977382, 12.825456, 13.464164, 15.757474, 15.917778, 16.288030, 18.964123, 19.537006, 22.338860], [13.432143, 14.208085, 15.544924, 15.726486, 16.382245, 18.469626, 18.512670, 21.469150, 25.997429, 26.367384], [33.270633, 33.432969, 33.510050, 33.893540, 48.749601, 54.594985, 55.573924, 56.957122, 67.226685, 161.754728], [11.267137, 11.859853, 11.881762, 12.452856, 16.837480, 17.818874, 18.573905, 19.267189, 22.757518, 62.717418], [14.790013, 15.658888, 16.214447, 16.980919, 18.013531, 19.285540, 21.639842, 26.643794, 26.890475, 58.627397], [2.789627, 2.937285, 3.007071, 3.441662, 3.711902, 3.814937, 4.324155, 4.927799, 5.097589, 32.984805]]
### 6
fourier: [[24.609265, 24.755117, 25.193986, 28.863799, 38.433596, 41.429316, 42.098912, 42.718652, 49.662995, 66.977943], [22.995148, 24.740190, 25.378854, 26.220837, 33.651384, 37.549860, 38.619204, 40.700874, 46.372632, 48.308378], [17.886841, 18.557930, 19.697833, 21.482091, 29.486653, 31.147616, 31.268348, 32.383573, 32.632973, 37.791431], [8.472110, 8.695387, 8.789437, 10.518450, 10.754372, 12.629808, 14.602039, 14.651920, 14.882698, 48.361508], [27.190293, 27.982724, 30.048220, 31.034859, 44.548388, 46.584194, 47.192487, 51.508245, 57.181133, 89.489820], [27.688072, 27.803442, 29.226897, 31.508887, 44.451357, 47.062187, 47.626983, 49.401690, 57.327073, 73.783184]]
### 8
fourier: [[38.969507, 40.151611, 40.964584, 53.109959, 66.782328, 67.342375, 69.483563, 74.946053, 78.693469, 153.532468]]
## 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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0.01399,
-0.024108,
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],
[
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0.609577,
0.901741,
0.157403,
0.2496
],
[
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-0.042374,
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],
[
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0.169574,
0.618704
],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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## Activation Signature
### 0
fourier: [[24.449106, 24.717308, 24.997381, 25.387381, 26.152117, 26.446735, 27.775950, 28.107551, 31.671429, 104.952315], [15.395968, 15.897648, 16.138004, 17.826924, 19.602090, 20.888120, 20.965325, 23.010620, 26.111490, 30.274886], [34.451537, 35.452459, 37.207414, 37.294518, 39.810993, 40.079947, 41.097581, 50.690384, 54.937774, 402.845686], [12.522335, 12.768956, 12.928388, 13.064403, 13.272173, 14.003727, 16.820320, 20.545615, 21.968482, 22.221450], [18.696670, 19.796231, 21.867553, 22.088703, 23.186463, 25.566173, 29.141797, 33.175444, 33.428239, 135.385471], [32.209474, 32.751072, 34.362283, 35.412313, 38.926026, 45.046317, 48.634660, 54.480270, 57.207459, 440.421840]]
### 2
fourier: [[24.171069, 27.828039, 29.571348, 29.895101, 30.777794, 31.941821, 32.981344, 34.452950, 39.606325, 292.122486], [14.234186, 14.722249, 16.473160, 17.463310, 19.383534, 24.913197, 25.517903, 26.000887, 31.429743, 88.411545], [17.682680, 17.785701, 19.461193, 19.592332, 21.540089, 26.152018, 30.577318, 31.322438, 35.201335, 99.795122], [15.587576, 15.926774, 16.508577, 17.632021, 19.226926, 21.067568, 21.271195, 21.361251, 24.496227, 220.954368], [17.275471, 18.279116, 18.414780, 20.290288, 22.891078, 28.471219, 29.272053, 30.864492, 36.628972, 82.567164], [24.477035, 28.176871, 31.044326, 32.359742, 32.694717, 34.059230, 34.269311, 37.546089, 40.691968, 399.479335]]
### 4
fourier: [[11.029354, 11.977382, 12.825456, 13.464164, 15.757474, 15.917778, 16.288030, 18.964123, 19.537006, 22.338860], [13.432143, 14.208085, 15.544924, 15.726486, 16.382245, 18.469626, 18.512670, 21.469150, 25.997429, 26.367384], [33.270633, 33.432969, 33.510050, 33.893540, 48.749601, 54.594985, 55.573924, 56.957122, 67.226685, 161.754728], [11.267137, 11.859853, 11.881762, 12.452856, 16.837480, 17.818874, 18.573905, 19.267189, 22.757518, 62.717418], [14.790013, 15.658888, 16.214447, 16.980919, 18.013531, 19.285540, 21.639842, 26.643794, 26.890475, 58.627397], [2.789627, 2.937285, 3.007071, 3.441662, 3.711902, 3.814937, 4.324155, 4.927799, 5.097589, 32.984805]]
### 6
fourier: [[24.609265, 24.755117, 25.193986, 28.863799, 38.433596, 41.429316, 42.098912, 42.718652, 49.662995, 66.977943], [22.995148, 24.740190, 25.378854, 26.220837, 33.651384, 37.549860, 38.619204, 40.700874, 46.372632, 48.308378], [17.886841, 18.557930, 19.697833, 21.482091, 29.486653, 31.147616, 31.268348, 32.383573, 32.632973, 37.791431], [8.472110, 8.695387, 8.789437, 10.518450, 10.754372, 12.629808, 14.602039, 14.651920, 14.882698, 48.361508], [27.190293, 27.982724, 30.048220, 31.034859, 44.548388, 46.584194, 47.192487, 51.508245, 57.181133, 89.489820], [27.688072, 27.803442, 29.226897, 31.508887, 44.451357, 47.062187, 47.626983, 49.401690, 57.327073, 73.783184]]
### 8
fourier: [[38.969507, 40.151611, 40.964584, 53.109959, 66.782328, 67.342375, 69.483563, 74.946053, 78.693469, 153.532468]]
## 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": 0.7200322449207306, "train_acc": 0.415, "val_loss": 0.6854488849639893, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6990164220333099, "train_acc": 0.415, "val_loss": 0.6944647431373596, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6824927628040314, "train_acc": 0.585, "val_loss": 0.7020208239555359, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.638592928647995, "train_acc": 0.585, "val_loss": 0.6834622025489807, "val_acc": 0.42}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.585576981306076, "train_acc": 0.585, "val_loss": 0.6294489502906799, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5264902710914612, "train_acc": 0.625, "val_loss": 0.5114477276802063, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.46107496321201324, "train_acc": 0.81, "val_loss": 0.4708625078201294, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.3976922333240509, "train_acc": 0.825, "val_loss": 0.4138059914112091, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.35078264772892, "train_acc": 0.83, "val_loss": 0.41118183732032776, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.38693763315677643, "train_acc": 0.835, "val_loss": 0.4520234763622284, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.37048299610614777, "train_acc": 0.835, "val_loss": 0.4043048024177551, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.37124772369861603, "train_acc": 0.84, "val_loss": 0.4011944532394409, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3417029082775116, "train_acc": 0.85, "val_loss": 0.3811141848564148, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.32289639115333557, "train_acc": 0.865, "val_loss": 0.38945648074150085, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3186744749546051, "train_acc": 0.87, "val_loss": 0.37105897068977356, "val_acc": 0.86}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6854488849639893, "final_val_loss": 0.6294489502906799, "initial_val_acc": 0.58, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5114477276802063, "final_val_loss": 0.37105897068977356, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 12}, "improvement": 0.39999999999999997, "first_improvement_epoch": 4}}
|
309
|
{"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 1.0, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8766, "learning_rate": 0.05764998212128188, "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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## Activation Signature
### 0
fourier: [[8.527690, 10.458009, 11.384258, 11.747588, 12.566976, 12.915695, 14.133457, 14.151488, 15.666192, 93.565494], [44.296504, 51.821666, 52.496616, 53.743106, 54.458605, 55.241360, 55.936967, 57.954562, 63.405865, 289.447614], [22.014773, 23.959678, 24.238237, 26.637928, 26.820709, 28.383521, 32.904941, 33.996246, 34.580256, 146.446402], [25.105815, 25.574425, 26.021070, 26.873781, 28.921432, 29.103434, 29.123149, 29.869768, 30.515733, 35.499169], [22.174769, 23.057965, 23.470959, 23.780099, 25.750236, 27.045641, 27.332025, 27.871272, 30.829736, 36.513746], [39.499778, 43.715514, 44.011521, 45.852841, 50.728863, 52.159749, 56.903976, 57.894748, 64.375876, 232.483318], [14.387434, 14.772249, 16.896767, 17.099497, 20.937601, 23.102118, 24.034673, 27.737737, 30.002816, 105.034944]]
### 2
fourier: [[12.624924, 12.736355, 13.449419, 13.669881, 14.300161, 14.328319, 14.979088, 15.179604, 16.826133, 85.604249], [18.006957, 18.393733, 18.472305, 20.204808, 20.452495, 23.454857, 23.892492, 26.178061, 27.280612, 27.763883], [7.785007, 8.025779, 9.198533, 9.440091, 9.453231, 12.666712, 12.686098, 13.072323, 13.790711, 57.745178], [7.932611, 8.059395, 8.169052, 10.336884, 11.952189, 12.204071, 12.375716, 12.376974, 14.547078, 92.593712], [18.229288, 18.419296, 21.054911, 21.230602, 22.088808, 22.100753, 22.827069, 23.960374, 25.353542, 93.363708], [18.290710, 20.466021, 23.186977, 23.761669, 24.078634, 24.262500, 27.858601, 28.823503, 37.547150, 143.460271], [14.089076, 14.580368, 15.203061, 16.141560, 17.184204, 21.351548, 22.428439, 22.888011, 23.447594, 130.222030]]
### 4
fourier: [[13.695906, 15.097458, 17.541984, 19.663097, 19.909503, 20.097570, 20.271715, 22.019149, 28.656606, 71.289668], [16.594031, 16.845788, 16.900790, 17.590426, 18.000721, 18.859431, 18.897684, 18.958299, 21.404006, 36.046503], [11.340202, 11.590283, 11.730408, 11.829112, 12.211701, 13.622096, 14.396902, 14.643332, 16.235541, 73.372427], [9.653569, 10.731139, 11.140407, 11.666897, 13.608153, 14.052479, 14.936074, 15.303963, 18.344356, 29.277456], [20.957281, 22.449594, 23.118159, 23.218243, 25.253509, 25.915721, 26.347831, 27.175886, 28.053690, 33.271444], [15.201652, 15.399311, 15.848804, 16.037574, 16.734227, 17.139478, 18.431998, 19.779266, 20.551824, 50.214543], [29.101644, 29.940301, 30.666040, 32.884261, 33.412804, 34.122033, 34.425499, 35.418742, 44.804116, 216.175925]]
### 6
fourier: [[3.221776, 3.283365, 3.329589, 3.387641, 3.505723, 3.542718, 4.021451, 4.204136, 6.152646, 38.647285], [19.558550, 19.575565, 21.900300, 22.062685, 25.378525, 25.408271, 26.668976, 27.999826, 28.428557, 31.848559], [19.563757, 21.297673, 21.323286, 21.555970, 25.520217, 25.700971, 26.924226, 26.928255, 30.755125, 109.289729], [18.563780, 19.472358, 19.637270, 19.732356, 23.265255, 23.460395, 24.221093, 24.932270, 27.658655, 42.472659], [21.464315, 21.654989, 21.810428, 24.773489, 26.263920, 26.690981, 28.148903, 29.668672, 31.923123, 131.418019], [19.625765, 19.963415, 20.045686, 20.827859, 22.793629, 23.407159, 23.930778, 26.370129, 26.934710, 96.022352], [10.545284, 10.597215, 10.606386, 10.661777, 10.805824, 11.306007, 11.584651, 12.893339, 14.544468, 16.012937]]
### 8
fourier: [[36.947730, 37.094273, 38.314070, 41.269097, 44.792115, 45.358396, 45.448907, 50.868368, 51.959321, 222.701076]]
## 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: [[8.527690, 10.458009, 11.384258, 11.747588, 12.566976, 12.915695, 14.133457, 14.151488, 15.666192, 93.565494], [44.296504, 51.821666, 52.496616, 53.743106, 54.458605, 55.241360, 55.936967, 57.954562, 63.405865, 289.447614], [22.014773, 23.959678, 24.238237, 26.637928, 26.820709, 28.383521, 32.904941, 33.996246, 34.580256, 146.446402], [25.105815, 25.574425, 26.021070, 26.873781, 28.921432, 29.103434, 29.123149, 29.869768, 30.515733, 35.499169], [22.174769, 23.057965, 23.470959, 23.780099, 25.750236, 27.045641, 27.332025, 27.871272, 30.829736, 36.513746], [39.499778, 43.715514, 44.011521, 45.852841, 50.728863, 52.159749, 56.903976, 57.894748, 64.375876, 232.483318], [14.387434, 14.772249, 16.896767, 17.099497, 20.937601, 23.102118, 24.034673, 27.737737, 30.002816, 105.034944]]
### 2
fourier: [[12.624924, 12.736355, 13.449419, 13.669881, 14.300161, 14.328319, 14.979088, 15.179604, 16.826133, 85.604249], [18.006957, 18.393733, 18.472305, 20.204808, 20.452495, 23.454857, 23.892492, 26.178061, 27.280612, 27.763883], [7.785007, 8.025779, 9.198533, 9.440091, 9.453231, 12.666712, 12.686098, 13.072323, 13.790711, 57.745178], [7.932611, 8.059395, 8.169052, 10.336884, 11.952189, 12.204071, 12.375716, 12.376974, 14.547078, 92.593712], [18.229288, 18.419296, 21.054911, 21.230602, 22.088808, 22.100753, 22.827069, 23.960374, 25.353542, 93.363708], [18.290710, 20.466021, 23.186977, 23.761669, 24.078634, 24.262500, 27.858601, 28.823503, 37.547150, 143.460271], [14.089076, 14.580368, 15.203061, 16.141560, 17.184204, 21.351548, 22.428439, 22.888011, 23.447594, 130.222030]]
### 4
fourier: [[13.695906, 15.097458, 17.541984, 19.663097, 19.909503, 20.097570, 20.271715, 22.019149, 28.656606, 71.289668], [16.594031, 16.845788, 16.900790, 17.590426, 18.000721, 18.859431, 18.897684, 18.958299, 21.404006, 36.046503], [11.340202, 11.590283, 11.730408, 11.829112, 12.211701, 13.622096, 14.396902, 14.643332, 16.235541, 73.372427], [9.653569, 10.731139, 11.140407, 11.666897, 13.608153, 14.052479, 14.936074, 15.303963, 18.344356, 29.277456], [20.957281, 22.449594, 23.118159, 23.218243, 25.253509, 25.915721, 26.347831, 27.175886, 28.053690, 33.271444], [15.201652, 15.399311, 15.848804, 16.037574, 16.734227, 17.139478, 18.431998, 19.779266, 20.551824, 50.214543], [29.101644, 29.940301, 30.666040, 32.884261, 33.412804, 34.122033, 34.425499, 35.418742, 44.804116, 216.175925]]
### 6
fourier: [[3.221776, 3.283365, 3.329589, 3.387641, 3.505723, 3.542718, 4.021451, 4.204136, 6.152646, 38.647285], [19.558550, 19.575565, 21.900300, 22.062685, 25.378525, 25.408271, 26.668976, 27.999826, 28.428557, 31.848559], [19.563757, 21.297673, 21.323286, 21.555970, 25.520217, 25.700971, 26.924226, 26.928255, 30.755125, 109.289729], [18.563780, 19.472358, 19.637270, 19.732356, 23.265255, 23.460395, 24.221093, 24.932270, 27.658655, 42.472659], [21.464315, 21.654989, 21.810428, 24.773489, 26.263920, 26.690981, 28.148903, 29.668672, 31.923123, 131.418019], [19.625765, 19.963415, 20.045686, 20.827859, 22.793629, 23.407159, 23.930778, 26.370129, 26.934710, 96.022352], [10.545284, 10.597215, 10.606386, 10.661777, 10.805824, 11.306007, 11.584651, 12.893339, 14.544468, 16.012937]]
### 8
fourier: [[36.947730, 37.094273, 38.314070, 41.269097, 44.792115, 45.358396, 45.448907, 50.868368, 51.959321, 222.701076]]
## 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": 0.6763530969619751, "train_acc": 0.605, "val_loss": 0.7150076031684875, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6086917221546173, "train_acc": 0.705, "val_loss": 0.735656201839447, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6168871819972992, "train_acc": 0.675, "val_loss": 0.7210336923599243, "val_acc": 0.54}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5957363843917847, "train_acc": 0.75, "val_loss": 0.6346094012260437, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5492303669452667, "train_acc": 0.735, "val_loss": 0.5322363376617432, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4786831736564636, "train_acc": 0.78, "val_loss": 0.41607561707496643, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.38061176240444183, "train_acc": 0.9, "val_loss": 0.3492845892906189, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.25393254309892654, "train_acc": 0.905, "val_loss": 0.3312135934829712, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.2281055822968483, "train_acc": 0.955, "val_loss": 0.17913253605365753, "val_acc": 1.0}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.15271177142858505, "train_acc": 0.955, "val_loss": 0.10537943243980408, "val_acc": 1.0}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.12722744792699814, "train_acc": 0.96, "val_loss": 0.17712129652500153, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.1174170970916748, "train_acc": 0.975, "val_loss": 0.05462595075368881, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.07782994210720062, "train_acc": 0.97, "val_loss": 0.39522024989128113, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3003835855051875, "train_acc": 0.885, "val_loss": 0.02088288776576519, "val_acc": 0.98}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7150076031684875, "final_val_loss": 0.6346094012260437, "initial_val_acc": 0.46, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.5322363376617432, "final_val_loss": 0.02088288776576519, "initial_val_acc": 0.58, "final_val_acc": 0.98, "best_val_acc": 1.0, "best_epoch": 8}, "improvement": 0.42000000000000004, "first_improvement_epoch": 3}}
|
310
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.4, "improved_accuracy": 0.98, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7231, "learning_rate": 0.09381510023772158, "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: 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: [[24.026502, 25.356029, 26.845390, 28.001038, 29.222279, 31.985241, 32.629580, 33.845357, 39.772382, 45.295994], [28.705885, 29.766986, 32.361536, 34.716158, 35.362728, 38.347612, 39.307166, 42.648055, 47.579247, 47.676918], [31.356447, 31.686358, 32.008267, 35.038792, 37.295965, 38.311967, 41.205459, 45.956071, 57.748005, 120.105617], [30.314699, 32.423732, 32.749037, 37.548185, 37.704015, 40.327742, 40.467920, 40.811865, 41.899745, 170.528158], [40.712117, 40.769215, 41.220135, 42.494069, 49.614389, 53.555062, 54.293759, 54.564272, 61.647770, 70.732510], [21.472288, 22.152772, 22.408576, 23.458374, 24.692207, 24.733875, 25.876321, 26.241408, 27.063855, 100.473059]]
### 2
fourier: [[8.525013, 8.558217, 8.751105, 9.493383, 9.630836, 9.948858, 10.417931, 10.425527, 10.427875, 16.287789], [23.543936, 24.633946, 24.978465, 25.464869, 26.453284, 26.734155, 28.086553, 28.495539, 33.770227, 40.048523], [47.415904, 57.992718, 63.972725, 65.559291, 66.132870, 68.459973, 73.880221, 74.160466, 74.745968, 248.647435], [40.607135, 52.143323, 56.059085, 57.237124, 57.555759, 60.382699, 64.210136, 66.264625, 66.367494, 219.100877], [22.701868, 29.135380, 30.317195, 32.239241, 32.960497, 33.178458, 37.175141, 37.922264, 38.811777, 104.045156], [51.722745, 55.684007, 57.551370, 63.531877, 63.797272, 65.111672, 67.777015, 71.470032, 71.663691, 238.269432]]
### 4
fourier: [[13.152013, 13.175403, 13.308917, 13.555159, 14.053732, 15.610515, 15.925189, 19.290170, 19.354405, 53.283608], [39.796968, 45.053949, 51.902711, 54.660494, 55.161040, 57.826016, 58.639526, 60.045838, 60.238968, 207.224933], [56.544972, 65.113047, 68.742914, 75.246581, 75.721774, 79.577392, 88.563110, 89.555386, 92.327873, 245.703577], [55.802944, 63.406159, 71.636298, 75.873324, 76.687490, 80.722230, 84.533993, 85.549241, 86.991795, 278.121909], [9.782695, 9.960053, 11.265049, 11.722948, 12.510901, 12.517237, 14.545626, 16.583023, 17.662834, 49.145046], [80.307505, 95.096310, 98.709696, 108.426699, 109.215896, 112.089292, 124.545799, 124.715224, 126.931604, 361.062165]]
### 6
fourier: [[7.238839, 8.588845, 8.846883, 9.686503, 10.086245, 10.199969, 11.761219, 11.996577, 12.200594, 12.486152], [77.364681, 86.626535, 92.378613, 102.338566, 106.743352, 109.292546, 120.031399, 120.765481, 123.438669, 331.631032], [141.410822, 154.309114, 169.099182, 187.839432, 192.775654, 199.865183, 213.938096, 215.336345, 218.100007, 653.806530], [78.162211, 87.367054, 92.505453, 103.633435, 106.548084, 109.355261, 120.227347, 120.476219, 123.308035, 333.071579], [107.289910, 117.974633, 127.247058, 142.854577, 145.567664, 150.804355, 162.296321, 163.557795, 166.010306, 509.008861], [20.734986, 24.842177, 25.448240, 27.678093, 28.965014, 29.071443, 32.083039, 32.257194, 32.286171, 85.997216]]
### 8
fourier: [[99.319694, 110.122696, 119.406545, 133.087360, 135.192236, 140.042641, 151.126337, 152.009446, 153.955554, 480.689378]]
## 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: 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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0.225408,
-1.00623
],
[
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0.229363,
-0.339524,
0.279515
],
[
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],
[
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]
],
"network.0.bias": [
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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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[
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[
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],
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[24.026502, 25.356029, 26.845390, 28.001038, 29.222279, 31.985241, 32.629580, 33.845357, 39.772382, 45.295994], [28.705885, 29.766986, 32.361536, 34.716158, 35.362728, 38.347612, 39.307166, 42.648055, 47.579247, 47.676918], [31.356447, 31.686358, 32.008267, 35.038792, 37.295965, 38.311967, 41.205459, 45.956071, 57.748005, 120.105617], [30.314699, 32.423732, 32.749037, 37.548185, 37.704015, 40.327742, 40.467920, 40.811865, 41.899745, 170.528158], [40.712117, 40.769215, 41.220135, 42.494069, 49.614389, 53.555062, 54.293759, 54.564272, 61.647770, 70.732510], [21.472288, 22.152772, 22.408576, 23.458374, 24.692207, 24.733875, 25.876321, 26.241408, 27.063855, 100.473059]]
### 2
fourier: [[8.525013, 8.558217, 8.751105, 9.493383, 9.630836, 9.948858, 10.417931, 10.425527, 10.427875, 16.287789], [23.543936, 24.633946, 24.978465, 25.464869, 26.453284, 26.734155, 28.086553, 28.495539, 33.770227, 40.048523], [47.415904, 57.992718, 63.972725, 65.559291, 66.132870, 68.459973, 73.880221, 74.160466, 74.745968, 248.647435], [40.607135, 52.143323, 56.059085, 57.237124, 57.555759, 60.382699, 64.210136, 66.264625, 66.367494, 219.100877], [22.701868, 29.135380, 30.317195, 32.239241, 32.960497, 33.178458, 37.175141, 37.922264, 38.811777, 104.045156], [51.722745, 55.684007, 57.551370, 63.531877, 63.797272, 65.111672, 67.777015, 71.470032, 71.663691, 238.269432]]
### 4
fourier: [[13.152013, 13.175403, 13.308917, 13.555159, 14.053732, 15.610515, 15.925189, 19.290170, 19.354405, 53.283608], [39.796968, 45.053949, 51.902711, 54.660494, 55.161040, 57.826016, 58.639526, 60.045838, 60.238968, 207.224933], [56.544972, 65.113047, 68.742914, 75.246581, 75.721774, 79.577392, 88.563110, 89.555386, 92.327873, 245.703577], [55.802944, 63.406159, 71.636298, 75.873324, 76.687490, 80.722230, 84.533993, 85.549241, 86.991795, 278.121909], [9.782695, 9.960053, 11.265049, 11.722948, 12.510901, 12.517237, 14.545626, 16.583023, 17.662834, 49.145046], [80.307505, 95.096310, 98.709696, 108.426699, 109.215896, 112.089292, 124.545799, 124.715224, 126.931604, 361.062165]]
### 6
fourier: [[7.238839, 8.588845, 8.846883, 9.686503, 10.086245, 10.199969, 11.761219, 11.996577, 12.200594, 12.486152], [77.364681, 86.626535, 92.378613, 102.338566, 106.743352, 109.292546, 120.031399, 120.765481, 123.438669, 331.631032], [141.410822, 154.309114, 169.099182, 187.839432, 192.775654, 199.865183, 213.938096, 215.336345, 218.100007, 653.806530], [78.162211, 87.367054, 92.505453, 103.633435, 106.548084, 109.355261, 120.227347, 120.476219, 123.308035, 333.071579], [107.289910, 117.974633, 127.247058, 142.854577, 145.567664, 150.804355, 162.296321, 163.557795, 166.010306, 509.008861], [20.734986, 24.842177, 25.448240, 27.678093, 28.965014, 29.071443, 32.083039, 32.257194, 32.286171, 85.997216]]
### 8
fourier: [[99.319694, 110.122696, 119.406545, 133.087360, 135.192236, 140.042641, 151.126337, 152.009446, 153.955554, 480.689378]]
## 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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.834656, -0.151328, -0.198887, -0.183121, 0.466624], [-1.215392, -0.116131, 0.488785, 0.242168, 0.096877], [0.793249, 0.593217, -0.12374, 0.225408, -1.00623], [0.74068, 0.493766, 0.229363, -0.339524, 0.279515], [1.356369, 0.023986, 0.087322, -0.756402, 0.223547], [-0.660609, -0.361982, 0.33969, 0.115508, 0.039979]], "network.0.bias": [-0.088371, -0.093102, 0.2825, -0.022488, -0.177155, -0.641246], "network.2.weight": [[0.338312, 0.145117, -0.300196, -0.089418, -0.006665, 0.149115], [0.509477, -0.336901, -0.380586, -0.189207, 0.629301, 0.132831], [0.60223, -0.215905, 0.632773, 0.298814, 0.633139, -0.39944], [-0.635223, 0.440818, -0.482471, -0.557017, -0.244473, 0.075598], [-0.454462, 0.25309, -0.140364, -0.343077, -0.131605, 0.388268], [-0.124811, -0.435333, 0.667819, 0.383462, 0.835464, -0.267643]], "network.2.bias": [0.200735, -0.229835, -0.132737, 0.017932, 0.113423, 0.040862], "network.4.weight": [[-0.546295, -0.508462, -0.185983, 0.531917, 0.415222, 0.139431], [-0.280321, 0.22791, -0.767446, 0.141682, 0.330657, -0.111851], [0.35481, 0.741219, 0.421955, -0.371811, 0.452543, 0.571925], [0.698672, -0.046516, 0.79259, 0.07026, -0.765224, 0.381621], [0.780136, 0.555768, -0.43878, -0.343262, -0.55374, 0.161328], [0.073667, 0.558472, 0.684835, -0.596231, -0.135774, 0.8603]], "network.4.bias": [-0.159825, 0.011589, -0.378442, -0.12987, -0.10659, -0.443035], "network.6.weight": [[-0.178541, -0.180822, 0.142356, -0.104092, 0.071986, 0.065604], [0.472275, 0.065139, -0.74666, -0.166893, -0.242512, -0.319777], [-0.190824, 0.60312, 0.578601, 0.908084, -0.125511, 0.699984], [0.162356, 0.424642, -0.505863, -0.008199, -0.139638, -0.607321], [-0.323333, 0.222406, 0.433994, 0.370622, -0.286418, 0.761779], [0.518114, 0.647884, -0.065056, 0.016351, 0.484487, -0.237176]], "network.6.bias": [-0.498121, 0.266776, -0.042722, 0.278504, 0.128409, 0.222642], "network.8.weight": [[0.265799, 0.522491, -0.398545, -0.238646, -0.415526, 0.451078]], "network.8.bias": [-0.153931]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6798986196517944, "train_acc": 0.6, "val_loss": 0.7612367272377014, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6318745613098145, "train_acc": 0.605, "val_loss": 0.6583418846130371, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5567299723625183, "train_acc": 0.57, "val_loss": 0.2164553850889206, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3158024102449417, "train_acc": 0.85, "val_loss": 0.10403528064489365, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.4623821824789047, "train_acc": 0.855, "val_loss": 0.21845942735671997, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.38140836358070374, "train_acc": 0.83, "val_loss": 0.40396612882614136, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.40436847507953644, "train_acc": 0.875, "val_loss": 0.3160330057144165, "val_acc": 0.98}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7612367272377014, "final_val_loss": 0.6583418846130371, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.2164553850889206, "final_val_loss": 0.3160330057144165, "initial_val_acc": 0.94, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.58, "first_improvement_epoch": 1}}
|
311
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3012, "learning_rate": 0.056944167448804636, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[21.664525, 22.418857, 22.931043, 25.337730, 26.928064, 27.039335, 30.464045, 33.583441, 35.689301, 70.676839], [14.791044, 15.938912, 16.727700, 16.905885, 16.947901, 17.446381, 19.089630, 19.353082, 20.314904, 68.203985], [16.728657, 16.752361, 16.854778, 16.874786, 18.392879, 18.874556, 19.558527, 20.135467, 20.258843, 40.628308], [15.484585, 16.512000, 17.030622, 18.318227, 18.507953, 18.531042, 19.382148, 23.931656, 24.300296, 81.049937], [15.749791, 16.493280, 16.883695, 17.502946, 17.651041, 19.107530, 19.323941, 20.469767, 20.551435, 21.631629], [18.810902, 19.086441, 20.670738, 21.293417, 21.476472, 23.217519, 25.331068, 27.259556, 28.810857, 28.856672], [18.639597, 19.006854, 19.105771, 19.949712, 22.033186, 23.526596, 23.695675, 26.080246, 26.259632, 54.260917]]
### 2
fourier: [[11.777277, 13.677001, 15.507621, 15.965065, 16.419380, 16.581714, 16.890828, 17.882340, 18.331041, 139.475685], [31.666327, 31.716522, 32.531318, 32.961074, 35.068817, 36.039889, 38.692978, 44.829537, 51.775572, 259.831934], [3.856767, 4.416104, 4.602568, 4.607295, 4.716284, 4.721737, 5.711608, 5.894342, 7.344374, 62.488979], [7.345884, 7.389107, 7.927220, 8.334143, 9.457832, 9.828250, 9.842197, 9.942870, 10.778052, 27.266116], [6.760524, 7.686717, 7.690133, 7.715095, 9.546441, 9.785024, 9.981617, 10.714882, 12.513486, 96.087414], [23.879217, 26.438684, 31.235185, 31.926922, 32.397902, 32.898136, 34.381836, 35.723291, 39.755975, 207.656412], [9.260411, 9.306197, 10.148185, 10.576485, 10.788564, 11.476256, 12.089796, 14.757114, 17.475682, 114.921283]]
### 4
fourier: [[13.698385, 14.309350, 15.256355, 15.719930, 16.437895, 16.685390, 18.071952, 20.346922, 22.999621, 149.132780], [8.230043, 8.859888, 10.130062, 10.601830, 10.662676, 10.760794, 11.698527, 12.530489, 13.790948, 96.554167], [37.000243, 39.905742, 42.823574, 45.370482, 46.250717, 46.941758, 50.232292, 55.599641, 62.873031, 304.379433], [4.279834, 4.435681, 5.375671, 5.431475, 5.506226, 5.686721, 6.337859, 6.685022, 7.047887, 51.484024], [1.981483, 1.984501, 2.171647, 2.179389, 2.351805, 2.652612, 2.677833, 2.678749, 3.779401, 37.829158], [38.693216, 41.805067, 45.466645, 48.189621, 48.951326, 49.444712, 53.105610, 58.287881, 65.566475, 354.765030], [12.367431, 13.258438, 14.561034, 15.213301, 15.608925, 15.689583, 17.026076, 18.706684, 20.923266, 122.300954]]
### 6
fourier: [[13.623893, 14.732814, 15.916309, 16.989530, 17.212130, 17.417202, 18.662050, 20.511144, 23.117041, 122.701120], [17.701426, 19.167311, 20.501385, 22.116178, 22.317613, 22.644413, 24.176793, 26.626825, 30.094979, 176.051146], [2.293449, 2.488363, 2.619616, 2.873830, 2.882001, 2.936663, 3.117828, 3.445124, 3.911077, 30.260660], [6.306434, 6.786934, 7.589819, 7.810442, 8.023486, 8.042757, 8.725459, 9.523566, 10.624461, 58.850977], [8.838264, 9.620510, 9.855324, 11.042730, 11.127997, 11.333591, 11.918498, 13.245761, 15.147359, 22.368614], [2.550689, 2.759103, 2.974232, 3.182139, 3.221035, 3.261340, 3.491711, 3.839398, 4.329895, 47.060430], [43.895792, 47.601482, 50.323687, 54.962031, 55.208952, 56.192953, 59.748148, 65.962307, 74.797073, 365.342626]]
### 8
fourier: [[37.830501, 40.784876, 42.763980, 46.678491, 46.997181, 48.025298, 51.958114, 56.716198, 63.976044, 253.547702]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[21.664525, 22.418857, 22.931043, 25.337730, 26.928064, 27.039335, 30.464045, 33.583441, 35.689301, 70.676839], [14.791044, 15.938912, 16.727700, 16.905885, 16.947901, 17.446381, 19.089630, 19.353082, 20.314904, 68.203985], [16.728657, 16.752361, 16.854778, 16.874786, 18.392879, 18.874556, 19.558527, 20.135467, 20.258843, 40.628308], [15.484585, 16.512000, 17.030622, 18.318227, 18.507953, 18.531042, 19.382148, 23.931656, 24.300296, 81.049937], [15.749791, 16.493280, 16.883695, 17.502946, 17.651041, 19.107530, 19.323941, 20.469767, 20.551435, 21.631629], [18.810902, 19.086441, 20.670738, 21.293417, 21.476472, 23.217519, 25.331068, 27.259556, 28.810857, 28.856672], [18.639597, 19.006854, 19.105771, 19.949712, 22.033186, 23.526596, 23.695675, 26.080246, 26.259632, 54.260917]]
### 2
fourier: [[11.777277, 13.677001, 15.507621, 15.965065, 16.419380, 16.581714, 16.890828, 17.882340, 18.331041, 139.475685], [31.666327, 31.716522, 32.531318, 32.961074, 35.068817, 36.039889, 38.692978, 44.829537, 51.775572, 259.831934], [3.856767, 4.416104, 4.602568, 4.607295, 4.716284, 4.721737, 5.711608, 5.894342, 7.344374, 62.488979], [7.345884, 7.389107, 7.927220, 8.334143, 9.457832, 9.828250, 9.842197, 9.942870, 10.778052, 27.266116], [6.760524, 7.686717, 7.690133, 7.715095, 9.546441, 9.785024, 9.981617, 10.714882, 12.513486, 96.087414], [23.879217, 26.438684, 31.235185, 31.926922, 32.397902, 32.898136, 34.381836, 35.723291, 39.755975, 207.656412], [9.260411, 9.306197, 10.148185, 10.576485, 10.788564, 11.476256, 12.089796, 14.757114, 17.475682, 114.921283]]
### 4
fourier: [[13.698385, 14.309350, 15.256355, 15.719930, 16.437895, 16.685390, 18.071952, 20.346922, 22.999621, 149.132780], [8.230043, 8.859888, 10.130062, 10.601830, 10.662676, 10.760794, 11.698527, 12.530489, 13.790948, 96.554167], [37.000243, 39.905742, 42.823574, 45.370482, 46.250717, 46.941758, 50.232292, 55.599641, 62.873031, 304.379433], [4.279834, 4.435681, 5.375671, 5.431475, 5.506226, 5.686721, 6.337859, 6.685022, 7.047887, 51.484024], [1.981483, 1.984501, 2.171647, 2.179389, 2.351805, 2.652612, 2.677833, 2.678749, 3.779401, 37.829158], [38.693216, 41.805067, 45.466645, 48.189621, 48.951326, 49.444712, 53.105610, 58.287881, 65.566475, 354.765030], [12.367431, 13.258438, 14.561034, 15.213301, 15.608925, 15.689583, 17.026076, 18.706684, 20.923266, 122.300954]]
### 6
fourier: [[13.623893, 14.732814, 15.916309, 16.989530, 17.212130, 17.417202, 18.662050, 20.511144, 23.117041, 122.701120], [17.701426, 19.167311, 20.501385, 22.116178, 22.317613, 22.644413, 24.176793, 26.626825, 30.094979, 176.051146], [2.293449, 2.488363, 2.619616, 2.873830, 2.882001, 2.936663, 3.117828, 3.445124, 3.911077, 30.260660], [6.306434, 6.786934, 7.589819, 7.810442, 8.023486, 8.042757, 8.725459, 9.523566, 10.624461, 58.850977], [8.838264, 9.620510, 9.855324, 11.042730, 11.127997, 11.333591, 11.918498, 13.245761, 15.147359, 22.368614], [2.550689, 2.759103, 2.974232, 3.182139, 3.221035, 3.261340, 3.491711, 3.839398, 4.329895, 47.060430], [43.895792, 47.601482, 50.323687, 54.962031, 55.208952, 56.192953, 59.748148, 65.962307, 74.797073, 365.342626]]
### 8
fourier: [[37.830501, 40.784876, 42.763980, 46.678491, 46.997181, 48.025298, 51.958114, 56.716198, 63.976044, 253.547702]]
## 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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5.431475433356892, 5.5062263966873415, 5.686720933397386, 6.337858838383852, 6.685021638298108, 7.047887300164652, 51.48402410000563]}, "4": {"fourier": [1.9814828491174956, 1.9845011529744736, 2.171646574993449, 2.179389006548933, 2.35180531834309, 2.6526124847170434, 2.677832615463838, 2.6787490650543364, 3.779401045002688, 37.82915845513344]}, "5": {"fourier": [38.69321606765611, 41.80506746007585, 45.4666451119618, 48.18962095795063, 48.95132553885806, 49.44471186548334, 53.10561004435992, 58.28788149655875, 65.56647541183068, 354.76503049582243]}, "6": {"fourier": [12.367431098425781, 13.258437973740747, 14.561033548605982, 15.213300861061192, 15.60892533792044, 15.689583101110465, 17.026076380303696, 18.706684068603792, 20.923265988785754, 122.30095438659191]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [13.62389294204619, 14.732813509401732, 15.916308592483325, 16.989529886965173, 17.212130468407903, 17.41720231207704, 18.6620499178201, 20.51114429870981, 23.11704115275047, 122.70111996214837]}, "1": {"fourier": [17.70142633343157, 19.16731137917851, 20.501385051417426, 22.116177767706187, 22.31761324953199, 22.644412767031593, 24.17679331888443, 26.626824776200806, 30.094979119470437, 176.0511464625597]}, "2": {"fourier": [2.2934485433539247, 2.4883629770717275, 2.619615829229291, 2.8738297180324905, 2.8820007121038134, 2.9366628656144815, 3.1178276385726282, 3.44512376501328, 3.9110766358118, 30.260659784078598]}, "3": {"fourier": [6.306433707400174, 6.786933806750137, 7.589818614486681, 7.81044153095683, 8.023485567739309, 8.042756694566474, 8.725459489196199, 9.523566074967071, 10.624460941597961, 58.85097730811685]}, "4": {"fourier": [8.838264407655533, 9.62051023895527, 9.85532383417157, 11.042729630694456, 11.127997242210672, 11.333590774064918, 11.918498208734883, 13.24576085098701, 15.1473589534501, 22.368613690137863]}, "5": {"fourier": [2.5506886717794304, 2.7591026774400738, 2.974231910806963, 3.1821390969238936, 3.2210354839091933, 3.2613402534364306, 3.4917109676180647, 3.8393983476590967, 4.329894928228899, 47.060429871082306]}, "6": {"fourier": [43.895792266727405, 47.601481945535056, 50.32368668257998, 54.96203068736398, 55.20895195531829, 56.19295335701543, 59.74814766819714, 65.96230736706475, 74.79707345038774, 365.34262596070766]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [37.83050121807635, 40.78487646015823, 42.763980199159974, 46.678490664940824, 46.99718102672313, 48.02529804382811, 51.958113556457086, 56.716198479567254, 63.97604366358471, 253.54770202934742]}}, "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": "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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.835918, 0.020838, 0.315992, 0.319829, 0.113966], [-0.076543, -0.259681, -0.201309, 0.040888, 0.543338], [0.126398, -0.087722, 0.122176, -0.380628, 0.398758], [-0.60544, 0.062034, 0.352594, 0.106953, -0.013776], [-0.164994, -0.41545, -0.067373, 0.16733, 0.476836], [-0.27612, -0.381924, -0.206366, 0.466759, 0.458648], [-0.696098, 0.170753, 0.359889, -0.133296, 0.377063]], "network.0.bias": [0.301095, -0.526657, -0.379648, 0.592056, 0.339434, -0.198251, 0.227037], "network.2.weight": [[-0.477, -0.063502, -0.17331, -0.212211, -0.476415, 0.221758, -0.327099], [0.694856, -0.024271, 0.100535, 0.826086, 0.815544, 0.56164, 0.490887], [-0.263822, 0.045623, 0.038273, -0.237481, -0.286124, 0.317938, 0.157598], [-0.252781, 0.055017, -0.101566, 0.131506, -0.18349, 0.004632, -0.417127], [-0.123372, -0.353043, 0.025582, -0.086631, -0.192953, 0.01559, -0.257851], [0.476856, 0.219527, 0.360318, 0.776996, 0.558856, 0.117706, 0.73602], [-0.192941, -0.207434, -0.068812, -0.05774, 0.024632, -0.351935, -0.315263]], "network.2.bias": [-0.234321, -0.109886, -0.284019, 0.352158, -0.422956, -0.313651, -0.454929], "network.4.weight": [[0.036592, -0.349696, 0.047484, 0.192996, -0.078991, -0.124139, -0.128913], [-0.087793, -0.093443, 0.003209, 0.24532, -0.018929, -0.224011, -0.10235], [0.185063, 0.743129, -0.24257, -0.226906, -0.372485, 0.633156, 0.001474], [-0.033674, -0.042853, 0.174752, 0.350131, -0.28778, -0.112988, 0.056593], [0.034255, -0.195283, -0.285152, -0.244732, -0.255394, 0.156201, 0.310032], [-0.084838, 0.686317, 0.263503, -0.381981, 0.039488, 0.772639, 0.19735], [0.144614, -0.230515, 0.420211, 0.223381, -0.122163, -0.227688, 0.366073]], "network.4.bias": [-0.368222, -0.29736, -0.23995, -0.213123, -0.199228, 0.170773, -0.175324], "network.6.weight": [[-0.012674, 0.199881, -0.053018, -0.231069, -0.374989, -0.302543, -0.027352], [-0.342289, 0.034779, -0.170986, -0.284999, -0.077021, -0.297648, -0.113743], [-0.073734, 0.119794, -0.04301, 0.103507, 0.342701, -0.019064, -0.416476], [-0.309456, -0.039789, 0.103325, -0.334354, 0.077269, -0.259543, -0.200256], [0.110958, -0.017017, -0.30166, 0.2031, 0.304076, 0.053645, -0.119132], [-0.356375, 0.099294, -0.013158, 0.068001, 0.362146, -0.053621, 0.024246], [0.015778, -0.08992, 0.717855, -0.295298, 0.244165, 0.463371, -0.364255]], "network.6.bias": [0.010993, -0.196652, 0.558827, 0.014943, 0.574188, -0.266416, -0.228207], "network.8.weight": [[0.0034, 0.192483, 0.713697, -0.138847, 0.404747, 0.111507, -0.811602]], "network.8.bias": [0.183387]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6799786984920502, "train_acc": 0.545, "val_loss": 0.5911630392074585, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6306121647357941, "train_acc": 0.545, "val_loss": 0.4943571388721466, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5369154512882233, "train_acc": 0.63, "val_loss": 0.3865553140640259, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.38344836235046387, "train_acc": 0.95, "val_loss": 0.30178993940353394, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32723432779312134, "train_acc": 0.91, "val_loss": 0.24744299054145813, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2476125732064247, "train_acc": 0.95, "val_loss": 0.21791233122348785, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.1924714297056198, "train_acc": 0.955, "val_loss": 0.19732150435447693, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.16013546288013458, "train_acc": 0.955, "val_loss": 0.18751853704452515, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.13286453485488892, "train_acc": 0.96, "val_loss": 0.19097837805747986, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1412236988544464, "train_acc": 0.96, "val_loss": 0.20497453212738037, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.13994066417217255, "train_acc": 0.965, "val_loss": 0.2190064787864685, "val_acc": 0.94}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.5911630392074585, "final_val_loss": 0.4943571388721466, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.3865553140640259, "final_val_loss": 0.2190064787864685, "initial_val_acc": 0.92, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
312
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6281, "learning_rate": 0.04997683736267366, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.784444,
-0.13042,
0.074042,
-0.01016,
0.749875
],
[
0.108479,
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0.318411,
0.291399,
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],
[
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0.282106,
0.614167
],
[
0.437404,
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-0.063483,
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0.713047
],
[
-1.186885,
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0.738391
],
[
-0.461085,
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0.294271,
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],
[
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-0.702378
]
],
"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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0.407818,
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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.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: [[25.277085, 25.637843, 27.433334, 27.582624, 29.531554, 30.572140, 31.141201, 31.415915, 32.780091, 33.748986], [24.219108, 24.326120, 25.461155, 25.716990, 26.799743, 28.870358, 31.906294, 32.121913, 34.435404, 126.454146], [20.386641, 22.327259, 22.492347, 23.286579, 24.042346, 27.636660, 29.858579, 31.839630, 33.149014, 104.639423], [18.950223, 19.359796, 20.423461, 21.154957, 27.605372, 27.606524, 29.170711, 34.970609, 36.636946, 109.602936], [31.485752, 32.779160, 36.331591, 37.174701, 40.442848, 41.547226, 42.038235, 43.504953, 48.620232, 48.977907], [22.490551, 23.506518, 24.414409, 25.397907, 25.723175, 26.437040, 26.880403, 28.496963, 30.277333, 36.094531], [17.708764, 18.754960, 19.706178, 20.997078, 21.341739, 24.760841, 26.097717, 26.513965, 31.275632, 52.362262]]
### 2
fourier: [[40.131872, 40.874543, 41.848742, 43.398386, 44.576109, 50.551197, 53.002442, 58.138201, 65.841714, 230.864871], [27.643226, 27.791455, 28.000604, 30.768448, 31.020926, 32.065756, 38.089998, 38.829330, 46.451948, 128.226759], [26.132563, 26.351733, 27.601271, 29.102905, 30.150682, 33.556678, 35.991625, 38.573850, 39.057505, 46.459122], [32.636076, 35.588638, 36.664070, 38.869970, 40.048969, 48.479230, 50.037850, 55.376058, 63.399033, 90.687450], [14.361666, 14.852830, 16.438125, 16.725000, 18.080143, 18.547909, 20.033230, 20.586369, 21.361512, 71.985984], [16.856824, 17.132776, 18.606311, 19.358258, 19.373186, 19.758798, 23.488925, 24.137321, 27.994369, 42.956452], [27.204683, 28.314961, 29.759426, 30.654764, 31.827269, 32.908135, 37.365330, 42.482700, 48.115987, 70.782067]]
### 4
fourier: [[21.884144, 22.189246, 22.440051, 23.181306, 25.281052, 25.621006, 29.166412, 31.334735, 34.826250, 90.886550], [38.721571, 39.467972, 40.147097, 41.662194, 47.313646, 47.768022, 55.755719, 59.261908, 71.155697, 251.334632], [12.101278, 12.673575, 12.692497, 14.325433, 17.678864, 18.318872, 18.338204, 19.975835, 21.331604, 49.550224], [15.571263, 16.057222, 16.154757, 16.912522, 18.288569, 22.166033, 23.315049, 23.845927, 27.501362, 73.081091], [19.554096, 20.815814, 20.952641, 21.690730, 23.302826, 24.005502, 28.169215, 29.404251, 34.618163, 130.276313], [53.215169, 53.533345, 53.766807, 56.036384, 62.888397, 65.369221, 73.590055, 78.876462, 94.492789, 325.438400], [7.908121, 8.304494, 8.679721, 9.661816, 10.382868, 10.728880, 11.552679, 13.659100, 14.805057, 45.697580]]
### 6
fourier: [[70.451681, 71.124812, 71.860620, 75.676902, 87.169648, 88.287529, 100.535117, 108.068731, 127.023551, 476.784096], [71.020102, 71.033692, 72.034475, 75.406284, 86.270704, 89.573267, 100.948289, 108.726635, 127.606345, 494.393094], [69.285269, 69.668069, 70.475145, 73.950691, 84.446183, 87.785244, 98.543408, 106.291199, 124.763765, 477.226875], [20.209134, 21.207334, 21.870875, 21.997123, 24.301760, 27.068382, 29.175627, 31.912178, 37.224080, 137.969048], [34.877926, 37.298758, 37.310461, 38.805578, 41.890405, 48.544958, 50.554052, 56.183387, 64.730055, 187.604154], [25.933584, 27.583505, 28.017627, 28.515343, 31.595806, 35.877404, 37.337484, 41.428443, 47.466888, 150.882594], [45.484843, 47.433344, 48.460130, 49.104558, 54.434334, 61.065677, 65.480602, 71.875637, 83.584622, 247.150702]]
### 8
fourier: [[163.988095, 164.352652, 165.861028, 178.258432, 203.808160, 205.128421, 234.885050, 250.339716, 292.542039, 1175.307138]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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0.074042,
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0.749875
],
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0.318411,
0.291399,
-0.771094
],
[
0.382808,
0.218497,
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0.282106,
0.614167
],
[
0.437404,
-0.039393,
-0.063483,
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0.713047
],
[
-1.186885,
0.167366,
0.056037,
0.192295,
0.738391
],
[
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0.432443,
0.078193,
0.294271,
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],
[
0.123318,
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0.349572,
-0.702378
]
],
"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.4.weight": [
[
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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: [[25.277085, 25.637843, 27.433334, 27.582624, 29.531554, 30.572140, 31.141201, 31.415915, 32.780091, 33.748986], [24.219108, 24.326120, 25.461155, 25.716990, 26.799743, 28.870358, 31.906294, 32.121913, 34.435404, 126.454146], [20.386641, 22.327259, 22.492347, 23.286579, 24.042346, 27.636660, 29.858579, 31.839630, 33.149014, 104.639423], [18.950223, 19.359796, 20.423461, 21.154957, 27.605372, 27.606524, 29.170711, 34.970609, 36.636946, 109.602936], [31.485752, 32.779160, 36.331591, 37.174701, 40.442848, 41.547226, 42.038235, 43.504953, 48.620232, 48.977907], [22.490551, 23.506518, 24.414409, 25.397907, 25.723175, 26.437040, 26.880403, 28.496963, 30.277333, 36.094531], [17.708764, 18.754960, 19.706178, 20.997078, 21.341739, 24.760841, 26.097717, 26.513965, 31.275632, 52.362262]]
### 2
fourier: [[40.131872, 40.874543, 41.848742, 43.398386, 44.576109, 50.551197, 53.002442, 58.138201, 65.841714, 230.864871], [27.643226, 27.791455, 28.000604, 30.768448, 31.020926, 32.065756, 38.089998, 38.829330, 46.451948, 128.226759], [26.132563, 26.351733, 27.601271, 29.102905, 30.150682, 33.556678, 35.991625, 38.573850, 39.057505, 46.459122], [32.636076, 35.588638, 36.664070, 38.869970, 40.048969, 48.479230, 50.037850, 55.376058, 63.399033, 90.687450], [14.361666, 14.852830, 16.438125, 16.725000, 18.080143, 18.547909, 20.033230, 20.586369, 21.361512, 71.985984], [16.856824, 17.132776, 18.606311, 19.358258, 19.373186, 19.758798, 23.488925, 24.137321, 27.994369, 42.956452], [27.204683, 28.314961, 29.759426, 30.654764, 31.827269, 32.908135, 37.365330, 42.482700, 48.115987, 70.782067]]
### 4
fourier: [[21.884144, 22.189246, 22.440051, 23.181306, 25.281052, 25.621006, 29.166412, 31.334735, 34.826250, 90.886550], [38.721571, 39.467972, 40.147097, 41.662194, 47.313646, 47.768022, 55.755719, 59.261908, 71.155697, 251.334632], [12.101278, 12.673575, 12.692497, 14.325433, 17.678864, 18.318872, 18.338204, 19.975835, 21.331604, 49.550224], [15.571263, 16.057222, 16.154757, 16.912522, 18.288569, 22.166033, 23.315049, 23.845927, 27.501362, 73.081091], [19.554096, 20.815814, 20.952641, 21.690730, 23.302826, 24.005502, 28.169215, 29.404251, 34.618163, 130.276313], [53.215169, 53.533345, 53.766807, 56.036384, 62.888397, 65.369221, 73.590055, 78.876462, 94.492789, 325.438400], [7.908121, 8.304494, 8.679721, 9.661816, 10.382868, 10.728880, 11.552679, 13.659100, 14.805057, 45.697580]]
### 6
fourier: [[70.451681, 71.124812, 71.860620, 75.676902, 87.169648, 88.287529, 100.535117, 108.068731, 127.023551, 476.784096], [71.020102, 71.033692, 72.034475, 75.406284, 86.270704, 89.573267, 100.948289, 108.726635, 127.606345, 494.393094], [69.285269, 69.668069, 70.475145, 73.950691, 84.446183, 87.785244, 98.543408, 106.291199, 124.763765, 477.226875], [20.209134, 21.207334, 21.870875, 21.997123, 24.301760, 27.068382, 29.175627, 31.912178, 37.224080, 137.969048], [34.877926, 37.298758, 37.310461, 38.805578, 41.890405, 48.544958, 50.554052, 56.183387, 64.730055, 187.604154], [25.933584, 27.583505, 28.017627, 28.515343, 31.595806, 35.877404, 37.337484, 41.428443, 47.466888, 150.882594], [45.484843, 47.433344, 48.460130, 49.104558, 54.434334, 61.065677, 65.480602, 71.875637, 83.584622, 247.150702]]
### 8
fourier: [[163.988095, 164.352652, 165.861028, 178.258432, 203.808160, 205.128421, 234.885050, 250.339716, 292.542039, 1175.307138]]
## 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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16.057222009814854, 16.154757123434955, 16.912522357063303, 18.28856906098095, 22.16603307748615, 23.315049453103363, 23.84592728461217, 27.50136231088522, 73.08109060674906]}, "4": {"fourier": [19.554096032972605, 20.815814013668284, 20.952640677041046, 21.69073010422993, 23.302826193591788, 24.00550212831732, 28.169214512387253, 29.40425050579477, 34.61816337114015, 130.27631324529648]}, "5": {"fourier": [53.215169359101964, 53.53334451709621, 53.7668073272441, 56.036383863817164, 62.88839683759261, 65.36922056749725, 73.59005544370034, 78.87646165681564, 94.4927893090848, 325.43839994072914]}, "6": {"fourier": [7.908121160146495, 8.304494153707191, 8.679720624318188, 9.661816453622459, 10.382867809148863, 10.728880397583715, 11.55267861586608, 13.659099837656044, 14.80505710433943, 45.697580486536026]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [70.45168086560963, 71.12481153340374, 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187.60415425151587]}, "5": {"fourier": [25.933584268255807, 27.583504822189454, 28.0176266710984, 28.51534335041291, 31.595805952496082, 35.877404005429874, 37.33748374818438, 41.428442609224554, 47.466888044100806, 150.88259414210916]}, "6": {"fourier": [45.48484334574598, 47.433343818956985, 48.46013015602395, 49.104557752029145, 54.43433440002185, 61.06567725035421, 65.4806023212913, 71.87563728404724, 83.58462203396424, 247.15070198476315]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [163.9880952551323, 164.35265184377025, 165.86102751675833, 178.25843162516722, 203.80815990059634, 205.1284207013625, 234.88505004912366, 250.33971553039353, 292.54203933203206, 1175.3071382045746]}}, "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": [[-0.784444, -0.13042, 0.074042, -0.01016, 0.749875], [0.108479, 0.46817, 0.318411, 0.291399, -0.771094], [0.382808, 0.218497, -0.245739, 0.282106, 0.614167], [0.437404, -0.039393, -0.063483, -0.12803, 0.713047], [-1.186885, 0.167366, 0.056037, 0.192295, 0.738391], [-0.461085, 0.432443, 0.078193, 0.294271, -0.616078], [0.123318, -0.546477, 0.017336, 0.349572, -0.702378]], "network.0.bias": [0.49582, 0.077942, -0.560987, 0.273006, 0.199022, -0.049666, 0.340952], "network.2.weight": [[0.99137, 0.10582, 0.185697, 0.763812, 0.540499, -0.504042, -0.414881], [0.570093, -0.056003, 0.124209, 0.489211, 0.589529, -0.121048, -0.256171], [-0.307914, 0.409834, -0.098007, -0.094404, -0.798354, 0.192304, 0.507857], [0.042345, -0.605872, 0.497788, 0.696861, 0.407818, -0.358264, -0.61057], [-0.223093, -0.535088, 0.072414, 0.138474, 0.38095, -0.175257, -0.250469], [0.166495, -0.197528, -0.196047, -0.0631, 0.637011, -0.422079, -0.459208], [-0.096387, 0.419842, -0.215607, -0.384252, -0.835335, 0.219855, 0.308456]], "network.2.bias": [0.265108, -0.216777, -0.039845, 0.380195, -0.283192, -0.296194, 0.081865], "network.4.weight": [[-0.245657, -0.430577, 0.480327, 0.157584, -0.04982, -0.222138, 0.186006], [0.591934, 0.461914, -0.345234, 0.318347, -0.652521, -0.355755, -0.156666], [-0.383621, 0.116489, 0.494831, 0.121405, -0.202167, 0.128476, 0.622225], [-0.325231, -0.147405, 0.322231, 0.039815, -0.046767, 0.227465, 0.370547], [-0.374966, -0.129625, 0.233153, -0.029252, -0.119751, 0.030743, 0.053524], [0.822979, 0.173638, -0.0562, 0.562824, -0.460987, 0.109828, -0.469075], [0.100484, -0.3854, -0.241285, 0.275595, 0.141645, 0.379889, -0.412066]], "network.4.bias": [-0.169227, 0.450739, -0.286552, -0.107787, -0.356991, 0.568012, -0.5615], "network.6.weight": [[-0.278226, 0.591866, -0.299435, -0.359987, -0.837867, 0.922882, -0.781439], [-0.45645, 0.91412, -0.36425, -0.418215, -0.685102, 0.662294, -0.502268], [-0.3827, 0.691472, -0.662315, -0.040066, -0.606367, 0.80497, -0.664952], [-0.082276, -0.265841, 0.486948, -0.072584, 0.537859, -0.182637, 0.029838], [0.477836, -0.245898, 0.335572, 0.561472, 0.450776, -0.457752, -0.150653], [0.25666, 0.147813, 0.270213, 0.470409, 0.111949, -0.612724, 0.485247], [0.497448, -0.53225, 0.626231, 0.343109, -0.194017, -0.42913, -0.167139]], "network.6.bias": [0.328092, 0.6028, 0.524475, -0.143252, 0.188367, 0.076947, 0.149191], "network.8.weight": [[-0.645554, -0.750846, -0.945129, 0.318848, 0.258993, 0.238052, 0.403871]], "network.8.bias": [-0.504323]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6678782403469086, "train_acc": 0.62, "val_loss": 0.633683979511261, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6025249361991882, "train_acc": 0.72, "val_loss": 0.604206919670105, "val_acc": 0.66}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5839661657810211, "train_acc": 0.76, "val_loss": 0.5510507225990295, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5895261466503143, "train_acc": 0.745, "val_loss": 0.5268746018409729, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3708786070346832, "train_acc": 0.85, "val_loss": 0.44273072481155396, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.37079913914203644, "train_acc": 0.85, "val_loss": 0.35663479566574097, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2756185382604599, "train_acc": 0.89, "val_loss": 0.405293345451355, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.26279401034116745, "train_acc": 0.875, "val_loss": 0.33272290229797363, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.18213608115911484, "train_acc": 0.93, "val_loss": 0.1523304581642151, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.16335442662239075, "train_acc": 0.945, "val_loss": 0.10529658943414688, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.09243421629071236, "train_acc": 0.955, "val_loss": 0.08807317912578583, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.0569626335054636, "train_acc": 0.98, "val_loss": 0.5812341570854187, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3859281688928604, "train_acc": 0.92, "val_loss": 0.5232737064361572, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.633683979511261, "final_val_loss": 0.5510507225990295, "initial_val_acc": 0.7, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5268746018409729, "final_val_loss": 0.5232737064361572, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
313
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1946, "learning_rate": 0.022028841712545065, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.516824,
0.670521,
-0.14661,
-0.266789,
-0.040294
],
[
-0.299368,
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-0.241804,
-0.318527,
0.216238
],
[
0.097023,
-0.304618,
-0.436112,
0.10887,
0.073383
],
[
0.815136,
0.680674,
0.593986,
0.453738,
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],
[
0.360651,
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0.450437,
0.342623,
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]
],
"network.0.bias": [
0.43452,
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0.234361,
-0.2382,
0.021739
],
"network.2.weight": [
[
-0.143159,
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-0.053944,
0.031568
],
[
-0.280432,
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-0.401378,
-0.314733,
0.502733
],
[
-0.423374,
0.158589,
-0.714693,
0.055201,
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],
[
0.416062,
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0.017256,
0.632107,
0.483574
],
[
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]
],
"network.2.bias": [
0.149014,
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],
"network.4.weight": [
[
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],
[
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0.724467,
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],
[
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0.345415,
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],
[
0.085199,
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0.410437,
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],
[
-0.023753,
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]
],
"network.4.bias": [
-0.020447,
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0.673744,
0.27257,
-0.201799
],
"network.6.weight": [
[
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],
[
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0.074252,
0.129063,
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],
[
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0.16902,
1.003934,
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],
[
0.493968,
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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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[
0.559035,
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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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[
0.014993,
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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": [
0.180785
]
}
## Activation Signature
### 0
fourier: [[23.740739, 24.244733, 25.373240, 25.482460, 25.543442, 25.682515, 27.489337, 28.733688, 31.106513, 123.430922], [12.688576, 13.072922, 13.317299, 13.684976, 14.828633, 15.459840, 16.307947, 16.999267, 19.441521, 81.721877], [14.238268, 14.614905, 14.855775, 15.223264, 15.348477, 15.536388, 15.894661, 17.032546, 21.970126, 70.829895], [43.443025, 43.498383, 43.907887, 45.597924, 47.049112, 48.432096, 53.065640, 60.140367, 62.335222, 374.536764], [31.175835, 31.688969, 31.826673, 32.757134, 32.800887, 33.733022, 35.177388, 42.984703, 43.144352, 290.177615]]
### 2
fourier: [[4.201287, 4.503462, 5.152649, 5.200317, 5.253309, 5.320401, 5.759490, 6.103693, 6.298523, 14.144288], [5.650145, 6.591717, 6.820400, 7.337852, 7.476313, 8.539887, 8.939685, 9.030224, 9.464458, 10.833411], [8.030022, 8.035065, 8.324179, 9.143339, 9.457622, 10.071598, 10.141720, 10.403714, 10.413910, 12.535867], [48.881674, 49.888124, 50.173273, 51.681204, 52.897796, 55.871662, 59.749970, 69.894709, 70.304444, 399.671245], [7.528927, 7.576245, 7.650378, 7.814500, 8.447563, 9.849822, 10.037493, 10.148093, 11.888250, 11.914330]]
### 4
fourier: [[24.084008, 25.486805, 25.812660, 25.817672, 25.961884, 27.728497, 29.253604, 34.477966, 34.728304, 194.739847], [37.773791, 39.443540, 40.298020, 40.935820, 41.208950, 41.736787, 45.457992, 51.793094, 54.749513, 241.336215], [1.504971, 1.544103, 1.589705, 1.604187, 1.608280, 1.677689, 1.690480, 2.070563, 2.953251, 67.217432], [21.251554, 21.577176, 22.449688, 22.948514, 23.053670, 23.068042, 25.789497, 29.879281, 30.959549, 177.087556], [20.049125, 20.615782, 20.803317, 21.132325, 21.410136, 22.162090, 24.022825, 28.199303, 28.599467, 135.664012]]
### 6
fourier: [[20.885532, 21.331358, 21.916273, 22.008586, 22.304744, 23.141698, 24.611643, 29.080645, 29.147820, 208.522721], [8.077811, 8.226420, 8.396300, 8.593990, 8.623046, 8.801167, 9.297706, 11.052951, 11.147823, 121.644465], [2.278196, 2.297053, 2.428115, 2.511806, 2.534639, 2.607538, 2.810801, 3.222745, 3.445263, 58.966072], [57.396829, 63.037183, 64.047966, 64.410428, 65.031893, 67.353829, 68.226651, 80.212843, 82.720802, 328.702389], [34.832919, 38.335034, 39.127625, 39.490101, 39.683910, 41.211363, 41.610933, 48.834869, 50.585827, 176.434067]]
### 8
fourier: [[64.130305, 70.966162, 72.623844, 73.088002, 73.489099, 75.809398, 78.168897, 88.198876, 88.918772, 378.059726], [59.725052, 66.169870, 67.823737, 69.053348, 70.105514, 73.687741, 75.205884, 82.279774, 83.411977, 320.373113], [11.322619, 11.869288, 11.978292, 12.550044, 12.582324, 12.717781, 13.171938, 14.105770, 14.975065, 72.335602], [42.864013, 47.388537, 48.052688, 48.454638, 48.634325, 50.074976, 51.722902, 58.772288, 58.974507, 316.081240], [11.924779, 12.094306, 13.193651, 13.767688, 13.904932, 14.272827, 14.581765, 15.255659, 16.733159, 17.408905]]
### 10
fourier: [[124.691832, 136.762654, 141.944938, 144.950417, 150.058246, 152.396975, 155.887846, 169.477027, 170.835643, 648.968606], [25.804431, 26.473469, 29.244879, 29.720893, 30.151596, 31.476247, 32.412830, 33.620091, 34.272892, 61.121911], [96.618737, 104.907079, 109.616559, 112.093581, 116.700442, 117.547587, 120.333455, 130.225789, 131.482568, 481.113551], [18.305902, 19.130360, 19.745983, 20.985539, 21.103351, 21.256367, 21.467007, 21.550668, 24.607327, 39.758976], [15.825493, 16.903842, 17.510385, 17.538082, 19.078206, 19.513346, 20.695586, 21.006644, 21.074676, 21.305425]]
### 12
fourier: [[132.881324, 139.648763, 145.173780, 153.665245, 160.985194, 162.095162, 162.813715, 169.010196, 171.273923, 608.789979]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.670521,
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],
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[
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0.10887,
0.073383
],
[
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0.593986,
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[
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"network.2.weight": [
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],
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0.502733
],
[
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0.055201,
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],
[
0.416062,
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0.632107,
0.483574
],
[
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],
"network.4.weight": [
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[
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],
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],
"network.6.weight": [
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],
[
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[
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0.16902,
1.003934,
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[
0.493968,
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[
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]
],
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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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"network.12.weight": [
[
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"network.12.bias": [
0.180785
]
}
## Activation Signature
### 0
fourier: [[23.740739, 24.244733, 25.373240, 25.482460, 25.543442, 25.682515, 27.489337, 28.733688, 31.106513, 123.430922], [12.688576, 13.072922, 13.317299, 13.684976, 14.828633, 15.459840, 16.307947, 16.999267, 19.441521, 81.721877], [14.238268, 14.614905, 14.855775, 15.223264, 15.348477, 15.536388, 15.894661, 17.032546, 21.970126, 70.829895], [43.443025, 43.498383, 43.907887, 45.597924, 47.049112, 48.432096, 53.065640, 60.140367, 62.335222, 374.536764], [31.175835, 31.688969, 31.826673, 32.757134, 32.800887, 33.733022, 35.177388, 42.984703, 43.144352, 290.177615]]
### 2
fourier: [[4.201287, 4.503462, 5.152649, 5.200317, 5.253309, 5.320401, 5.759490, 6.103693, 6.298523, 14.144288], [5.650145, 6.591717, 6.820400, 7.337852, 7.476313, 8.539887, 8.939685, 9.030224, 9.464458, 10.833411], [8.030022, 8.035065, 8.324179, 9.143339, 9.457622, 10.071598, 10.141720, 10.403714, 10.413910, 12.535867], [48.881674, 49.888124, 50.173273, 51.681204, 52.897796, 55.871662, 59.749970, 69.894709, 70.304444, 399.671245], [7.528927, 7.576245, 7.650378, 7.814500, 8.447563, 9.849822, 10.037493, 10.148093, 11.888250, 11.914330]]
### 4
fourier: [[24.084008, 25.486805, 25.812660, 25.817672, 25.961884, 27.728497, 29.253604, 34.477966, 34.728304, 194.739847], [37.773791, 39.443540, 40.298020, 40.935820, 41.208950, 41.736787, 45.457992, 51.793094, 54.749513, 241.336215], [1.504971, 1.544103, 1.589705, 1.604187, 1.608280, 1.677689, 1.690480, 2.070563, 2.953251, 67.217432], [21.251554, 21.577176, 22.449688, 22.948514, 23.053670, 23.068042, 25.789497, 29.879281, 30.959549, 177.087556], [20.049125, 20.615782, 20.803317, 21.132325, 21.410136, 22.162090, 24.022825, 28.199303, 28.599467, 135.664012]]
### 6
fourier: [[20.885532, 21.331358, 21.916273, 22.008586, 22.304744, 23.141698, 24.611643, 29.080645, 29.147820, 208.522721], [8.077811, 8.226420, 8.396300, 8.593990, 8.623046, 8.801167, 9.297706, 11.052951, 11.147823, 121.644465], [2.278196, 2.297053, 2.428115, 2.511806, 2.534639, 2.607538, 2.810801, 3.222745, 3.445263, 58.966072], [57.396829, 63.037183, 64.047966, 64.410428, 65.031893, 67.353829, 68.226651, 80.212843, 82.720802, 328.702389], [34.832919, 38.335034, 39.127625, 39.490101, 39.683910, 41.211363, 41.610933, 48.834869, 50.585827, 176.434067]]
### 8
fourier: [[64.130305, 70.966162, 72.623844, 73.088002, 73.489099, 75.809398, 78.168897, 88.198876, 88.918772, 378.059726], [59.725052, 66.169870, 67.823737, 69.053348, 70.105514, 73.687741, 75.205884, 82.279774, 83.411977, 320.373113], [11.322619, 11.869288, 11.978292, 12.550044, 12.582324, 12.717781, 13.171938, 14.105770, 14.975065, 72.335602], [42.864013, 47.388537, 48.052688, 48.454638, 48.634325, 50.074976, 51.722902, 58.772288, 58.974507, 316.081240], [11.924779, 12.094306, 13.193651, 13.767688, 13.904932, 14.272827, 14.581765, 15.255659, 16.733159, 17.408905]]
### 10
fourier: [[124.691832, 136.762654, 141.944938, 144.950417, 150.058246, 152.396975, 155.887846, 169.477027, 170.835643, 648.968606], [25.804431, 26.473469, 29.244879, 29.720893, 30.151596, 31.476247, 32.412830, 33.620091, 34.272892, 61.121911], [96.618737, 104.907079, 109.616559, 112.093581, 116.700442, 117.547587, 120.333455, 130.225789, 131.482568, 481.113551], [18.305902, 19.130360, 19.745983, 20.985539, 21.103351, 21.256367, 21.467007, 21.550668, 24.607327, 39.758976], [15.825493, 16.903842, 17.510385, 17.538082, 19.078206, 19.513346, 20.695586, 21.006644, 21.074676, 21.305425]]
### 12
fourier: [[132.881324, 139.648763, 145.173780, 153.665245, 160.985194, 162.095162, 162.813715, 169.010196, 171.273923, 608.789979]]
## 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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32.757133838946956, 32.800887071532024, 33.7330217668605, 35.17738768964769, 42.98470280252208, 43.144352325712774, 290.17761537991464]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [4.201287043565761, 4.50346243457283, 5.152648517104412, 5.200316786075773, 5.253309478222038, 5.320401419091067, 5.759490296349586, 6.103693130170976, 6.298522532458547, 14.144287541508675]}, "1": {"fourier": [5.650144513117725, 6.591717317314631, 6.8203998751906125, 7.33785186590585, 7.476313429479573, 8.539886573665799, 8.939684988645261, 9.03022369016602, 9.464458105368575, 10.833410839371396]}, "2": {"fourier": [8.030022056312845, 8.035065493973653, 8.324179462550772, 9.14333910455649, 9.457621833734445, 10.071598466787254, 10.141720168380143, 10.403713598657323, 10.413909787202236, 12.535866836224432]}, "3": {"fourier": [48.88167370959827, 49.88812408977527, 50.17327324332513, 51.68120418683939, 52.897795646033785, 55.871662281212785, 59.74997023681663, 69.89470904514485, 70.30444449564283, 399.671245098114]}, "4": {"fourier": [7.528927150931356, 7.576244860180683, 7.650378481212426, 7.814499753574033, 8.447562820977394, 9.849821729223327, 10.03749328603879, 10.148093035822253, 11.888250395229518, 11.914330298047092]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [24.084008044825485, 25.486805225751233, 25.812660458227164, 25.817671854736677, 25.961883969885154, 27.728497091853143, 29.25360387527089, 34.477966097601474, 34.72830445712397, 194.7398465294391]}, "1": {"fourier": [37.77379060091753, 39.4435402138894, 40.298020199538335, 40.93581995937209, 41.20895039191371, 41.73678677503375, 45.45799157369388, 51.793093987612565, 54.74951255796942, 241.3362153917551]}, "2": {"fourier": [1.5049714539010517, 1.5441032463212736, 1.5897046518585722, 1.6041869773133202, 1.6082804571028078, 1.67768929474523, 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11.052951304328507, 11.147823060798359, 121.64446491003036]}, "2": {"fourier": [2.27819573466545, 2.297052874773779, 2.4281152330963893, 2.511805877265607, 2.53463899347451, 2.6075380694884354, 2.8108011055292828, 3.222745116117002, 3.445262519220818, 58.96607227623463]}, "3": {"fourier": [57.39682924990815, 63.03718281108643, 64.04796570520583, 64.41042788231599, 65.031892744837, 67.353829141918, 68.22665094449557, 80.21284290493304, 82.72080229433567, 328.70238903164864]}, "4": {"fourier": [34.83291864138252, 38.335033658555716, 39.12762497188491, 39.49010055180385, 39.683910002508966, 41.211363059422595, 41.61093262676839, 48.83486886653799, 50.58582673920357, 176.43406687676907]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [64.13030466642796, 70.96616230951199, 72.62384411829464, 73.08800216211371, 73.48909933281523, 75.8093979903839, 78.16889704552447, 88.19887558255634, 88.9187719033039, 378.0597262531519]}, "1": {"fourier": [59.72505226295177, 66.16987000868205, 67.82373728087593, 69.05334762714286, 70.10551360732963, 73.68774101350373, 75.20588396052096, 82.27977367840886, 83.41197701312826, 320.3731125742197]}, "2": {"fourier": [11.322618670216265, 11.869287627024178, 11.978292293021415, 12.550043714150577, 12.582323562125586, 12.717781051226048, 13.171938075099629, 14.105770212499193, 14.975065019725225, 72.3356024324894]}, "3": {"fourier": [42.8640131750554, 47.38853748874758, 48.05268757277283, 48.45463780293937, 48.6343250687203, 50.07497583397037, 51.72290186011344, 58.772287650971236, 58.97450743281848, 316.08124017715454]}, "4": {"fourier": [11.924779249349735, 12.09430608092202, 13.193650904637874, 13.767687659825816, 13.904932296271383, 14.272827029189594, 14.581765088863904, 15.255659433800492, 16.733159395435525, 17.40890454472207]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [124.69183153876776, 136.7626538321684, 141.94493846684207, 144.95041720389855, 150.05824577818333, 152.39697523803196, 155.8878457270229, 169.4770267767901, 170.83564317918035, 648.9686056673527]}, "1": {"fourier": [25.80443125774014, 26.473469089749145, 29.24487923039465, 29.72089344943869, 30.15159636965338, 31.47624700392326, 32.41283001646788, 33.620090617645666, 34.27289180082214, 61.12191125750542]}, "2": {"fourier": [96.6187371693791, 104.9070790472717, 109.61655935692943, 112.0935811176614, 116.7004416798046, 117.54758698491685, 120.33345531608543, 130.2257892187941, 131.48256760475041, 481.1135505884886]}, "3": {"fourier": [18.305901876854893, 19.130360243044503, 19.74598259215132, 20.985539042612547, 21.103351409508477, 21.256367193288618, 21.4670068524075, 21.550667997270807, 24.607327274033917, 39.758975595235825]}, "4": {"fourier": [15.825492590894758, 16.90384168054926, 17.510385076018522, 17.53808193455574, 19.078206107524327, 19.513345783863677, 20.69558550391504, 21.00664415562781, 21.074675688275256, 21.305425440650115]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [132.8813241830396, 139.6487633233717, 145.1737796244216, 153.66524548426386, 160.9851940802982, 162.0951619876163, 162.81371547388613, 169.01019639008885, 171.27392337081733, 608.7899794876575]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.516824, 0.670521, -0.14661, -0.266789, -0.040294], [-0.299368, 0.068434, -0.241804, -0.318527, 0.216238], [0.097023, -0.304618, -0.436112, 0.10887, 0.073383], [0.815136, 0.680674, 0.593986, 0.453738, -0.055782], [0.360651, 0.602852, 0.450437, 0.342623, -0.016649]], "network.0.bias": [0.43452, 0.261295, 0.234361, -0.2382, 0.021739], "network.2.weight": [[-0.143159, -0.796269, -0.134144, -0.053944, 0.031568], [-0.280432, -0.611235, -0.401378, -0.314733, 0.502733], [-0.423374, 0.158589, -0.714693, 0.055201, -0.046985], [0.416062, -0.109395, 0.017256, 0.632107, 0.483574], [-0.403477, -0.069928, -0.694045, -0.150887, 0.290341]], "network.2.bias": [0.149014, 0.093853, 0.544064, -0.313807, 0.264504], "network.4.weight": [[0.771417, 0.143845, -0.027609, -0.483201, 0.09349], [-0.370494, -0.813449, -0.599302, 0.724467, -0.326727], [-0.284368, -0.054167, 0.345415, -0.004591, 0.287351], [0.085199, -0.075541, -0.507132, 0.410437, -0.287046], [-0.023753, 0.02967, 0.004231, 0.397775, -0.463672]], "network.4.bias": [-0.020447, -0.322892, 0.673744, 0.27257, -0.201799], "network.6.weight": [[-0.676013, 0.133712, 0.817435, 0.595149, 0.181647], [-0.199321, -0.047022, 0.074252, 0.129063, 0.350188], [-0.055297, 0.16902, 1.003934, -0.116485, -0.243445], [0.493968, 0.903766, -0.508585, 0.747206, 0.3967], [0.225185, 0.583265, -0.52029, 0.370242, 0.268295]], "network.6.bias": [0.054945, 0.669098, 0.19207, -0.431155, -0.374783], "network.8.weight": [[0.474295, -0.377136, 0.290976, 0.714226, 0.533915], [-0.191275, -0.176897, -0.174427, 0.827868, 0.57445], [0.559035, -0.10159, 0.467056, 0.105437, -0.774014], [0.126073, 0.346222, 0.51333, 0.593303, 0.140961], [-0.15134, 0.672736, 0.279577, -0.364854, 0.182975]], "network.8.bias": [-0.29778, 0.03338, 0.62406, 0.045318, 0.416378], "network.10.weight": [[0.587014, 0.787483, -0.580233, 0.836419, -0.417378], [-0.22116, -0.163201, 0.198738, 0.044893, 0.583598], [0.38375, 0.784246, -0.424195, 0.480066, -0.621857], [0.014993, -0.222838, 0.79162, 0.052693, 0.424485], [-0.51309, -0.153787, 0.102826, 0.612163, 0.030409]], "network.10.bias": [-0.412671, 0.359176, -0.248688, 0.241509, 0.522599], "network.12.weight": [[-0.405136, 0.279067, -0.795403, 0.387703, 0.549241]], "network.12.bias": [0.180785]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6866634786128998, "train_acc": 0.56, "val_loss": 0.6980730295181274, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.685688704252243, "train_acc": 0.56, "val_loss": 0.6995489597320557, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.683341383934021, "train_acc": 0.56, "val_loss": 0.6965233087539673, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6695781350135803, "train_acc": 0.56, "val_loss": 0.6820804476737976, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.642846941947937, "train_acc": 0.56, "val_loss": 0.6528131365776062, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.622971922159195, "train_acc": 0.505, "val_loss": 0.596815288066864, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5625632405281067, "train_acc": 0.505, "val_loss": 0.5511325597763062, "val_acc": 0.48}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.49887584149837494, "train_acc": 0.555, "val_loss": 0.5129435062408447, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.46139761805534363, "train_acc": 0.785, "val_loss": 0.4763442873954773, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4154810160398483, "train_acc": 0.865, "val_loss": 0.441252201795578, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3774445503950119, "train_acc": 0.89, "val_loss": 0.40716874599456787, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3414411097764969, "train_acc": 0.885, "val_loss": 0.3703768849372864, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2899397164583206, "train_acc": 0.92, "val_loss": 0.3433501422405243, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2368859276175499, "train_acc": 0.93, "val_loss": 0.321580171585083, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.16425557062029839, "train_acc": 0.94, "val_loss": 0.35900765657424927, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6980730295181274, "final_val_loss": 0.6528131365776062, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.596815288066864, "final_val_loss": 0.35900765657424927, "initial_val_acc": 0.48, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 13}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
314
|
{"target_pattern": "no_repeats", "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": 3854, "learning_rate": 0.06505178922409441, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.149208,
-0.123013,
-0.25905,
-0.015417,
-0.234216
],
[
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-0.163591,
-0.430446,
-0.334385
],
[
-1.563506,
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0.221871,
0.49249,
0.052417
],
[
1.105378,
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0.11984,
0.051508
],
[
-0.936948,
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0.005574,
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0.622594
]
],
"network.0.bias": [
-0.362615,
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-0.48707,
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],
"network.2.weight": [
[
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],
[
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-0.141524,
-0.299164,
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],
[
0.318268,
0.391029,
-0.166198,
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],
[
0.275893,
0.422355,
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-0.615862
],
[
0.19639,
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1.034371,
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]
],
"network.2.bias": [
-0.369699,
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-0.171089,
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1.118841
],
"network.4.weight": [
[
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],
[
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-0.290724,
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],
[
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0.710472
],
[
-0.174767,
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-0.04885,
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],
[
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1.178659
]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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],
[
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],
[
0.194247,
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1.151998
],
[
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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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[
-0.170084,
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[
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[
0.206995,
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[
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],
"network.10.bias": [
0.03554,
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],
"network.12.weight": [
[
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[11.181208, 11.779054, 12.235423, 12.624256, 14.536244, 15.366367, 17.144392, 19.104417, 19.531560, 147.195594], [19.300112, 19.915890, 20.063210, 23.692958, 23.992322, 26.103833, 27.295739, 30.484020, 32.606479, 244.973264], [35.476130, 38.468930, 40.130585, 43.649099, 44.730391, 46.143017, 49.417859, 57.263238, 59.265392, 72.925100], [23.838778, 31.314112, 32.748115, 33.216571, 34.515984, 34.690744, 37.416122, 38.620491, 49.344508, 160.839237], [22.687447, 22.997708, 26.332476, 26.828461, 29.328899, 33.006878, 33.109936, 34.330291, 36.363515, 38.449931]]
### 2
fourier: [[7.604328, 8.264584, 8.462433, 8.477409, 8.680866, 9.728947, 9.890319, 11.035130, 12.084416, 13.135114], [6.546629, 6.924388, 7.084051, 7.325191, 8.149458, 10.090679, 10.263822, 12.098425, 12.633757, 119.984522], [9.337691, 9.468957, 9.785919, 9.979672, 11.165437, 11.467758, 12.639241, 14.015798, 15.759075, 99.403400], [10.179791, 10.533009, 10.673754, 11.856505, 13.353894, 13.789397, 16.176902, 16.552096, 18.419060, 137.447300], [27.706307, 34.478565, 35.770201, 38.332414, 40.409567, 43.097066, 44.082026, 44.147677, 57.276290, 230.252645]]
### 4
fourier: [[3.929934, 5.095241, 5.101774, 5.497187, 5.882116, 6.240221, 6.412588, 6.483310, 8.235098, 76.858218], [3.649827, 4.720897, 4.746886, 5.028393, 5.353107, 5.669712, 5.875868, 5.920469, 7.574304, 110.290515], [20.237493, 23.646111, 24.130094, 27.588176, 30.250687, 31.950244, 32.256416, 32.792976, 40.336789, 187.896085], [24.291543, 29.508112, 29.869536, 33.459970, 36.365867, 38.723218, 38.845178, 39.661269, 49.337304, 208.138420], [33.515770, 39.265884, 40.046604, 45.721653, 50.103405, 52.959545, 53.421054, 54.337002, 66.888352, 316.885472]]
### 6
fourier: [[16.122889, 19.189833, 19.373655, 22.049047, 24.187585, 25.735116, 25.743049, 26.349219, 32.341447, 170.080733], [1.133312, 1.186861, 1.218771, 1.530871, 1.709529, 1.739601, 1.801715, 1.854613, 2.131866, 44.092854], [77.030744, 92.124063, 92.805409, 105.451335, 115.651803, 123.054459, 123.245626, 126.115932, 154.820205, 711.709907], [2.651637, 2.929258, 3.011650, 3.555365, 3.959729, 4.135899, 4.213065, 4.268203, 5.130378, 40.332101], [1.418644, 1.835569, 1.900152, 1.952776, 2.047003, 2.143777, 2.318114, 2.324543, 2.925881, 6.798811]]
### 8
fourier: [[27.172216, 32.502799, 32.743317, 37.205062, 40.797301, 43.410912, 43.478343, 44.487340, 54.613943, 278.987233], [14.892246, 17.931997, 18.067457, 20.529760, 22.390235, 23.865814, 23.902906, 24.392220, 29.965888, 214.461561], [15.721033, 18.873945, 19.015106, 21.606515, 23.621953, 25.159180, 25.198222, 25.744967, 31.617722, 157.361626], [13.310205, 15.868144, 15.984618, 18.162266, 19.970405, 21.231336, 21.264436, 21.787285, 26.736944, 162.540404], [84.189402, 100.619406, 101.362323, 115.173734, 126.382339, 134.448952, 134.657934, 137.830448, 169.188923, 790.830098]]
### 10
fourier: [[29.340229, 35.066131, 35.325039, 40.138354, 44.044581, 46.855817, 46.928650, 48.034276, 58.962790, 272.407757], [7.123325, 8.513479, 8.576338, 9.744931, 10.693299, 11.375821, 11.393503, 11.661932, 14.315195, 116.428311], [68.850940, 82.287567, 82.895126, 94.190239, 103.356754, 109.953709, 110.124618, 112.719133, 138.364410, 636.790285], [5.052639, 6.038688, 6.083274, 6.912169, 7.584855, 8.068974, 8.081515, 8.271914, 10.153898, 56.084023], [69.029298, 82.500728, 83.109864, 94.434238, 103.624492, 110.238540, 110.409887, 113.011126, 138.722839, 635.434045]]
### 12
fourier: [[104.930381, 125.448261, 126.336865, 143.551520, 157.534806, 167.579252, 167.879117, 171.826102, 210.884173, 927.327215]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-1.563506,
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0.49249,
0.052417
],
[
1.105378,
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],
[
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"network.2.weight": [
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],
[
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],
[
0.275893,
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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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"network.4.bias": [
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"network.6.weight": [
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[
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0.845934,
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1.151998
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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.12.weight": [
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]
],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[11.181208, 11.779054, 12.235423, 12.624256, 14.536244, 15.366367, 17.144392, 19.104417, 19.531560, 147.195594], [19.300112, 19.915890, 20.063210, 23.692958, 23.992322, 26.103833, 27.295739, 30.484020, 32.606479, 244.973264], [35.476130, 38.468930, 40.130585, 43.649099, 44.730391, 46.143017, 49.417859, 57.263238, 59.265392, 72.925100], [23.838778, 31.314112, 32.748115, 33.216571, 34.515984, 34.690744, 37.416122, 38.620491, 49.344508, 160.839237], [22.687447, 22.997708, 26.332476, 26.828461, 29.328899, 33.006878, 33.109936, 34.330291, 36.363515, 38.449931]]
### 2
fourier: [[7.604328, 8.264584, 8.462433, 8.477409, 8.680866, 9.728947, 9.890319, 11.035130, 12.084416, 13.135114], [6.546629, 6.924388, 7.084051, 7.325191, 8.149458, 10.090679, 10.263822, 12.098425, 12.633757, 119.984522], [9.337691, 9.468957, 9.785919, 9.979672, 11.165437, 11.467758, 12.639241, 14.015798, 15.759075, 99.403400], [10.179791, 10.533009, 10.673754, 11.856505, 13.353894, 13.789397, 16.176902, 16.552096, 18.419060, 137.447300], [27.706307, 34.478565, 35.770201, 38.332414, 40.409567, 43.097066, 44.082026, 44.147677, 57.276290, 230.252645]]
### 4
fourier: [[3.929934, 5.095241, 5.101774, 5.497187, 5.882116, 6.240221, 6.412588, 6.483310, 8.235098, 76.858218], [3.649827, 4.720897, 4.746886, 5.028393, 5.353107, 5.669712, 5.875868, 5.920469, 7.574304, 110.290515], [20.237493, 23.646111, 24.130094, 27.588176, 30.250687, 31.950244, 32.256416, 32.792976, 40.336789, 187.896085], [24.291543, 29.508112, 29.869536, 33.459970, 36.365867, 38.723218, 38.845178, 39.661269, 49.337304, 208.138420], [33.515770, 39.265884, 40.046604, 45.721653, 50.103405, 52.959545, 53.421054, 54.337002, 66.888352, 316.885472]]
### 6
fourier: [[16.122889, 19.189833, 19.373655, 22.049047, 24.187585, 25.735116, 25.743049, 26.349219, 32.341447, 170.080733], [1.133312, 1.186861, 1.218771, 1.530871, 1.709529, 1.739601, 1.801715, 1.854613, 2.131866, 44.092854], [77.030744, 92.124063, 92.805409, 105.451335, 115.651803, 123.054459, 123.245626, 126.115932, 154.820205, 711.709907], [2.651637, 2.929258, 3.011650, 3.555365, 3.959729, 4.135899, 4.213065, 4.268203, 5.130378, 40.332101], [1.418644, 1.835569, 1.900152, 1.952776, 2.047003, 2.143777, 2.318114, 2.324543, 2.925881, 6.798811]]
### 8
fourier: [[27.172216, 32.502799, 32.743317, 37.205062, 40.797301, 43.410912, 43.478343, 44.487340, 54.613943, 278.987233], [14.892246, 17.931997, 18.067457, 20.529760, 22.390235, 23.865814, 23.902906, 24.392220, 29.965888, 214.461561], [15.721033, 18.873945, 19.015106, 21.606515, 23.621953, 25.159180, 25.198222, 25.744967, 31.617722, 157.361626], [13.310205, 15.868144, 15.984618, 18.162266, 19.970405, 21.231336, 21.264436, 21.787285, 26.736944, 162.540404], [84.189402, 100.619406, 101.362323, 115.173734, 126.382339, 134.448952, 134.657934, 137.830448, 169.188923, 790.830098]]
### 10
fourier: [[29.340229, 35.066131, 35.325039, 40.138354, 44.044581, 46.855817, 46.928650, 48.034276, 58.962790, 272.407757], [7.123325, 8.513479, 8.576338, 9.744931, 10.693299, 11.375821, 11.393503, 11.661932, 14.315195, 116.428311], [68.850940, 82.287567, 82.895126, 94.190239, 103.356754, 109.953709, 110.124618, 112.719133, 138.364410, 636.790285], [5.052639, 6.038688, 6.083274, 6.912169, 7.584855, 8.068974, 8.081515, 8.271914, 10.153898, 56.084023], [69.029298, 82.500728, 83.109864, 94.434238, 103.624492, 110.238540, 110.409887, 113.011126, 138.722839, 635.434045]]
### 12
fourier: [[104.930381, 125.448261, 126.336865, 143.551520, 157.534806, 167.579252, 167.879117, 171.826102, 210.884173, 927.327215]]
## 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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{"neuron_profiles": {"0": {"fourier": [29.340228788344916, 35.0661306506669, 35.325039287054096, 40.138354103898, 44.0445812139067, 46.85581681504635, 46.92864950105676, 48.03427626892938, 58.962789664393, 272.4077573157847]}, "1": {"fourier": [7.123325124184264, 8.513479152914611, 8.576338117565394, 9.74493114053421, 10.693299303352074, 11.375820803269702, 11.393502788769142, 11.661932187773568, 14.315194745999097, 116.42831087112427]}, "2": {"fourier": [68.8509404706738, 82.28756685044588, 82.89512562029971, 94.19023881395262, 103.35675439705838, 109.95370879792526, 110.12461828179106, 112.71913310237983, 138.36441012537375, 636.7902846336365]}, "3": {"fourier": [5.052639065416072, 6.038688189732543, 6.083274430399852, 6.912168736525983, 7.5848546208845855, 8.068973713704418, 8.081515467035391, 8.271914146070719, 10.153897820880324, 56.08402253687382]}, "4": {"fourier": [69.02929787042835, 82.5007280022586, 83.10986430674987, 94.43423755853637, 103.62449215750578, 110.2385404455768, 110.40988721793121, 113.01112595798276, 138.722838981078, 635.4340454936028]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [104.9303810873228, 125.4482607330108, 126.33686471134405, 143.55151990708245, 157.53480595465157, 167.57925234627572, 167.87911694031587, 171.82610191698893, 210.88417322021155, 927.3272145986557]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.149208, -0.123013, -0.25905, -0.015417, -0.234216], [-0.173036, -0.314833, -0.163591, -0.430446, -0.334385], [-1.563506, 0.327444, 0.221871, 0.49249, 0.052417], [1.105378, -0.287709, -0.057515, 0.11984, 0.051508], [-0.936948, 0.265679, 0.005574, 0.032743, 0.622594]], "network.0.bias": [-0.362615, -0.255696, -0.48707, 0.735415, -0.374807], "network.2.weight": [[0.425796, -0.120599, 0.124481, -0.073045, 0.444062], [0.00857, 0.091826, -0.141524, -0.299164, -0.321032], [0.318268, 0.391029, -0.166198, -0.394432, -0.064531], [0.275893, 0.422355, -0.286416, -0.388886, -0.615862], [0.19639, -0.209423, -0.314556, 1.034371, -0.156629]], "network.2.bias": [-0.369699, -0.451422, -0.171089, -0.154532, 1.118841], "network.4.weight": [[-0.011181, -0.012387, 0.284281, 0.246127, -0.147594], [-0.022801, 0.24211, -0.079244, -0.290724, -0.136242], [-0.251864, 0.061492, 0.095981, 0.105823, 0.710472], [-0.174767, -0.283247, -0.04885, 0.306474, 0.874525], [-0.405202, -0.030827, 0.147435, -0.039185, 1.178659]], "network.4.bias": [-0.470256, -0.868647, 0.304132, 0.089096, 0.559364], "network.6.weight": [[-0.192382, 0.257541, 0.025902, -0.115962, -0.415042], [0.030572, -0.05871, 0.23522, 0.264731, -0.368322], [0.194247, 0.235519, 0.845934, 0.89576, 1.151998], [-0.400691, -0.258702, -0.301504, 0.175703, -0.024523], [0.012662, 0.231412, 0.349538, 0.323518, -0.404742]], "network.6.bias": [-0.213095, -0.297222, 0.006622, -0.138881, -0.129606], "network.8.weight": [[0.026763, 0.050177, -0.352591, -0.102819, -0.020979], [-0.241111, -0.360085, -0.190415, -0.180153, -0.394962], [-0.187076, 0.133517, -0.202356, -0.275998, -0.234954], [-0.346584, -0.138633, -0.17398, -0.211648, 0.161524], [-0.350574, -0.126721, 1.094502, 0.091262, -0.213177]], "network.8.bias": [-0.310951, -0.864699, -0.140864, -0.435275, 0.138506], "network.10.weight": [[-0.38096, 0.244422, -0.285026, -0.42119, -0.348503], [-0.170084, 0.003915, 0.349428, 0.432972, -0.084611], [0.120235, 0.349706, -0.365641, 0.435692, 0.81781], [0.206995, 0.234951, -0.258423, -0.054774, -0.060015], [0.035535, 0.245733, -0.304117, 0.214495, 0.819929]], "network.10.bias": [0.03554, -0.550174, -0.110651, -0.095803, -0.144335], "network.12.weight": [[-0.266085, -0.102297, -0.702242, 0.31014, -0.819902]], "network.12.bias": [0.454085]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6825006902217865, "train_acc": 0.6, "val_loss": 0.7678753137588501, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6733320951461792, "train_acc": 0.6, "val_loss": 0.7975073456764221, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6759188175201416, "train_acc": 0.6, "val_loss": 0.76202392578125, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6754213571548462, "train_acc": 0.6, "val_loss": 0.7374091148376465, "val_acc": 0.4}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.669957846403122, "train_acc": 0.6, "val_loss": 0.7252244353294373, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6860562264919281, "train_acc": 0.525, "val_loss": 0.6590029001235962, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.66143399477005, "train_acc": 0.525, "val_loss": 0.5935072302818298, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6078676283359528, "train_acc": 0.75, "val_loss": 0.526648223400116, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5725886821746826, "train_acc": 0.725, "val_loss": 0.4851889908313751, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5072994232177734, "train_acc": 0.775, "val_loss": 0.4197632670402527, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.4660174548625946, "train_acc": 0.78, "val_loss": 0.3883356750011444, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.4590342938899994, "train_acc": 0.81, "val_loss": 0.37581539154052734, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.41965992748737335, "train_acc": 0.825, "val_loss": 0.49295029044151306, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.5159600675106049, "train_acc": 0.765, "val_loss": 0.389912873506546, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.5494558215141296, "train_acc": 0.685, "val_loss": 0.40392887592315674, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7678753137588501, "final_val_loss": 0.7252244353294373, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.6590029001235962, "final_val_loss": 0.40392887592315674, "initial_val_acc": 0.4, "final_val_acc": 0.84, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.52, "first_improvement_epoch": 4}}
|
315
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1056, "learning_rate": 0.02939302537326799, "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: 7
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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],
[
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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.4.weight": [
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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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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.154940, 17.528173, 17.630458, 18.202076, 20.062459, 20.861391, 23.105329, 23.212331, 24.234047, 58.921168], [20.463002, 22.461568, 22.862426, 23.883658, 26.177566, 26.351068, 29.204276, 31.464505, 40.345265, 160.404918], [17.961476, 18.791161, 19.788624, 19.971917, 20.264538, 20.488371, 20.522012, 21.040636, 21.123270, 25.261884], [21.987951, 23.060709, 23.153915, 24.082548, 25.654262, 25.882582, 26.365222, 26.984713, 29.206182, 133.714469], [14.429438, 15.912137, 18.303771, 18.735609, 19.350252, 19.738604, 22.136169, 26.458140, 29.205304, 71.524796], [21.103997, 24.417933, 25.278712, 25.460905, 26.951050, 28.557717, 30.296267, 30.465212, 35.016807, 193.748625], [16.021321, 18.022171, 18.163410, 20.149868, 20.719586, 21.444295, 24.285947, 24.769671, 28.923350, 73.244763]]
### 2
fourier: [[31.690625, 31.869861, 34.106516, 36.227031, 36.630369, 37.167391, 40.182674, 43.182213, 47.037011, 58.043192], [26.952674, 28.571286, 32.265109, 35.075083, 36.373699, 36.763192, 37.683615, 37.823910, 43.575381, 53.427267], [13.886698, 13.946988, 14.276392, 16.470665, 17.568045, 17.614460, 18.916575, 18.968887, 26.427017, 179.838998], [22.621330, 24.268998, 25.234364, 27.265269, 28.112798, 30.499366, 30.861085, 31.485720, 43.714441, 67.642187], [24.540342, 27.006309, 27.550607, 28.099686, 30.037753, 31.111915, 31.771151, 33.750851, 34.208450, 88.438521], [18.898337, 19.272246, 20.047072, 20.382852, 20.917793, 21.106617, 23.939961, 24.566582, 27.625153, 34.425852], [12.712048, 13.312209, 13.345106, 14.437552, 15.129510, 15.636097, 16.965627, 18.836255, 22.214993, 22.763491]]
### 4
fourier: [[54.441460, 55.040431, 59.250116, 59.508363, 60.226373, 60.876462, 67.614465, 76.303233, 103.414818, 263.768195], [7.765425, 7.794789, 8.145587, 8.471516, 8.473608, 8.579024, 9.277067, 10.824311, 14.841294, 52.061383], [7.528169, 8.028781, 9.657336, 10.126509, 10.626823, 10.895480, 11.983180, 12.330049, 14.522087, 82.422269], [1.841860, 1.903416, 1.921838, 1.938973, 2.291663, 2.442247, 2.532444, 2.800186, 2.991526, 15.111698], [39.746966, 41.279570, 45.000639, 45.850432, 47.222038, 49.080116, 56.648466, 59.967038, 77.481822, 217.538504], [55.610297, 56.793116, 57.271406, 57.917444, 61.762348, 62.978961, 65.007458, 70.725269, 104.524047, 183.847154], [13.621210, 14.012067, 14.038166, 14.794330, 15.435931, 15.527121, 15.955089, 18.226587, 26.117243, 74.174449]]
### 6
fourier: [[13.282311, 13.295851, 13.332893, 13.542853, 14.759323, 14.766896, 14.962441, 17.836297, 24.547136, 65.147893], [113.257879, 113.346714, 117.760275, 118.485081, 123.968657, 124.566777, 134.632619, 155.087657, 210.532297, 539.713004], [17.590729, 17.807513, 18.434213, 18.590845, 19.255657, 19.775751, 19.828943, 23.756948, 33.409354, 84.342019], [32.551660, 32.793996, 32.856285, 32.908928, 35.468915, 35.469190, 36.575374, 43.551207, 60.270397, 154.270531], [103.067475, 103.161172, 107.181578, 107.609974, 112.732955, 113.221128, 122.524559, 141.040200, 191.292139, 475.656378], [13.250941, 13.468667, 14.514032, 14.548125, 14.670866, 14.908693, 16.686600, 18.797172, 25.391865, 114.099875], [10.957684, 11.378000, 12.199945, 12.289032, 12.858618, 13.180115, 15.466041, 16.426566, 21.088710, 65.457653]]
### 8
fourier: [[50.098642, 50.199956, 52.038169, 52.596158, 54.669630, 54.967354, 59.628274, 68.674303, 93.279722, 253.643670], [99.477560, 99.615079, 103.382253, 104.246400, 108.725121, 109.282373, 118.323254, 136.287482, 185.062718, 454.569507], [154.383968, 154.674836, 160.378761, 162.016457, 168.527341, 169.433465, 183.724779, 211.601727, 287.398238, 702.260655], [10.836926, 10.875777, 11.236935, 11.347543, 12.031637, 12.063013, 12.871218, 14.837100, 20.100474, 81.280147], [65.249942, 65.355451, 67.798272, 68.423694, 71.274481, 71.648171, 77.629766, 89.412458, 121.425156, 309.614734], [36.164025, 36.267533, 37.538498, 38.057808, 39.381895, 39.612865, 43.079628, 49.608557, 67.409367, 211.025903], [6.591312, 6.609464, 6.845109, 6.891653, 7.297248, 7.319371, 7.828721, 9.023238, 12.228894, 49.143627]]
### 10
fourier: [[143.790112, 143.943564, 149.006413, 151.844752, 155.816967, 156.972323, 170.956007, 196.870199, 268.205047, 608.291793]]
## 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: 7
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: [[16.154940, 17.528173, 17.630458, 18.202076, 20.062459, 20.861391, 23.105329, 23.212331, 24.234047, 58.921168], [20.463002, 22.461568, 22.862426, 23.883658, 26.177566, 26.351068, 29.204276, 31.464505, 40.345265, 160.404918], [17.961476, 18.791161, 19.788624, 19.971917, 20.264538, 20.488371, 20.522012, 21.040636, 21.123270, 25.261884], [21.987951, 23.060709, 23.153915, 24.082548, 25.654262, 25.882582, 26.365222, 26.984713, 29.206182, 133.714469], [14.429438, 15.912137, 18.303771, 18.735609, 19.350252, 19.738604, 22.136169, 26.458140, 29.205304, 71.524796], [21.103997, 24.417933, 25.278712, 25.460905, 26.951050, 28.557717, 30.296267, 30.465212, 35.016807, 193.748625], [16.021321, 18.022171, 18.163410, 20.149868, 20.719586, 21.444295, 24.285947, 24.769671, 28.923350, 73.244763]]
### 2
fourier: [[31.690625, 31.869861, 34.106516, 36.227031, 36.630369, 37.167391, 40.182674, 43.182213, 47.037011, 58.043192], [26.952674, 28.571286, 32.265109, 35.075083, 36.373699, 36.763192, 37.683615, 37.823910, 43.575381, 53.427267], [13.886698, 13.946988, 14.276392, 16.470665, 17.568045, 17.614460, 18.916575, 18.968887, 26.427017, 179.838998], [22.621330, 24.268998, 25.234364, 27.265269, 28.112798, 30.499366, 30.861085, 31.485720, 43.714441, 67.642187], [24.540342, 27.006309, 27.550607, 28.099686, 30.037753, 31.111915, 31.771151, 33.750851, 34.208450, 88.438521], [18.898337, 19.272246, 20.047072, 20.382852, 20.917793, 21.106617, 23.939961, 24.566582, 27.625153, 34.425852], [12.712048, 13.312209, 13.345106, 14.437552, 15.129510, 15.636097, 16.965627, 18.836255, 22.214993, 22.763491]]
### 4
fourier: [[54.441460, 55.040431, 59.250116, 59.508363, 60.226373, 60.876462, 67.614465, 76.303233, 103.414818, 263.768195], [7.765425, 7.794789, 8.145587, 8.471516, 8.473608, 8.579024, 9.277067, 10.824311, 14.841294, 52.061383], [7.528169, 8.028781, 9.657336, 10.126509, 10.626823, 10.895480, 11.983180, 12.330049, 14.522087, 82.422269], [1.841860, 1.903416, 1.921838, 1.938973, 2.291663, 2.442247, 2.532444, 2.800186, 2.991526, 15.111698], [39.746966, 41.279570, 45.000639, 45.850432, 47.222038, 49.080116, 56.648466, 59.967038, 77.481822, 217.538504], [55.610297, 56.793116, 57.271406, 57.917444, 61.762348, 62.978961, 65.007458, 70.725269, 104.524047, 183.847154], [13.621210, 14.012067, 14.038166, 14.794330, 15.435931, 15.527121, 15.955089, 18.226587, 26.117243, 74.174449]]
### 6
fourier: [[13.282311, 13.295851, 13.332893, 13.542853, 14.759323, 14.766896, 14.962441, 17.836297, 24.547136, 65.147893], [113.257879, 113.346714, 117.760275, 118.485081, 123.968657, 124.566777, 134.632619, 155.087657, 210.532297, 539.713004], [17.590729, 17.807513, 18.434213, 18.590845, 19.255657, 19.775751, 19.828943, 23.756948, 33.409354, 84.342019], [32.551660, 32.793996, 32.856285, 32.908928, 35.468915, 35.469190, 36.575374, 43.551207, 60.270397, 154.270531], [103.067475, 103.161172, 107.181578, 107.609974, 112.732955, 113.221128, 122.524559, 141.040200, 191.292139, 475.656378], [13.250941, 13.468667, 14.514032, 14.548125, 14.670866, 14.908693, 16.686600, 18.797172, 25.391865, 114.099875], [10.957684, 11.378000, 12.199945, 12.289032, 12.858618, 13.180115, 15.466041, 16.426566, 21.088710, 65.457653]]
### 8
fourier: [[50.098642, 50.199956, 52.038169, 52.596158, 54.669630, 54.967354, 59.628274, 68.674303, 93.279722, 253.643670], [99.477560, 99.615079, 103.382253, 104.246400, 108.725121, 109.282373, 118.323254, 136.287482, 185.062718, 454.569507], [154.383968, 154.674836, 160.378761, 162.016457, 168.527341, 169.433465, 183.724779, 211.601727, 287.398238, 702.260655], [10.836926, 10.875777, 11.236935, 11.347543, 12.031637, 12.063013, 12.871218, 14.837100, 20.100474, 81.280147], [65.249942, 65.355451, 67.798272, 68.423694, 71.274481, 71.648171, 77.629766, 89.412458, 121.425156, 309.614734], [36.164025, 36.267533, 37.538498, 38.057808, 39.381895, 39.612865, 43.079628, 49.608557, 67.409367, 211.025903], [6.591312, 6.609464, 6.845109, 6.891653, 7.297248, 7.319371, 7.828721, 9.023238, 12.228894, 49.143627]]
### 10
fourier: [[143.790112, 143.943564, 149.006413, 151.844752, 155.816967, 156.972323, 170.956007, 196.870199, 268.205047, 608.291793]]
## 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.618117, 0.118619, -0.214088, -0.119331, -0.125312], [-0.095429, 0.380672, -0.15816, 0.0501, 0.907823], [0.051301, 0.538683, -0.008031, -0.235157, -0.502628], [0.172796, 0.33372, 0.50805, 0.045285, -0.551607], [-0.154974, -0.161007, 0.281758, -0.059059, 0.61998], [0.504504, 0.419454, 0.139921, 0.247057, -0.438661], [0.419709, 0.075905, -0.0201, -0.191475, 0.447051]], "network.0.bias": [0.526975, 0.310658, 0.191606, 0.184512, 0.054414, 0.479533, 0.05444], "network.2.weight": [[0.033514, 0.833734, -0.352299, -0.286699, 0.387113, -0.595857, 0.381878], [0.167069, 0.673072, -0.142373, -0.404025, 0.284671, -0.489403, 0.548475], [0.119092, -0.368754, 0.240366, -0.30324, 0.042737, -0.236775, -0.432367], [0.461351, 0.674753, -0.20357, -0.196481, 0.328933, -0.384107, 0.160162], [0.829166, -0.37517, 0.076808, 0.059527, -0.222952, 0.376227, 0.294468], [-0.27576, 0.426797, -0.135757, -0.200307, 0.091844, -0.322072, 0.517009], [-0.492472, -0.386936, 0.126987, 0.153093, 0.317425, 0.311894, -0.39089]], "network.2.bias": [-0.146145, 0.150777, -0.183646, -0.028743, -0.051224, 0.163809, 0.382924], "network.4.weight": [[0.651734, 0.740985, 0.18199, 0.48322, 0.416396, 0.814073, -0.095886], [-0.088399, 0.041863, -0.326275, -0.219948, -0.048302, -0.16875, -0.071028], [-0.031684, -0.200723, 0.221065, 0.153025, -0.415606, -0.036994, 0.073792], [-0.283954, -0.049077, 0.074984, 0.349893, 0.077644, 0.134322, 0.167129], [0.661245, 0.43634, -0.189913, 0.327091, 0.516836, 0.46038, -0.439399], [0.710651, 0.556444, -0.054226, 0.806827, -0.230252, 0.366117, -0.413182], [-0.193604, -0.24191, -0.082031, -0.047199, 0.015628, -0.196459, -0.084696]], "network.4.bias": [-0.217448, -0.071715, -0.306094, -0.444916, 0.082373, -0.00556, -0.112086], "network.6.weight": [[0.01196, 0.16735, -0.326869, 0.228381, -0.109442, -0.180203, -0.339176], [0.796728, 0.06214, -0.126256, 0.018554, 0.679436, 0.79349, -0.002424], [-0.333073, 0.115631, -0.069068, 0.208521, 0.185097, -0.135475, 0.015252], [-0.346472, -0.038352, 0.159403, -0.362832, 0.029038, -0.273417, -0.433503], [0.489236, 0.27582, -0.00294, 0.356578, 0.798582, 0.826044, -0.360874], [-0.370057, 0.260876, 0.094682, -0.187547, 0.091214, 0.059093, -0.253573], [-0.056079, -0.07401, -0.357251, -0.234517, -0.212326, 0.007854, -0.234223]], "network.6.bias": [-0.048259, 0.006991, -0.079019, -0.082337, -0.175249, -0.541759, -0.052686], "network.8.weight": [[-0.228028, -0.161241, -0.32475, 0.004366, -0.311119, 0.035157, 0.113429], [-0.306843, 0.608852, -0.098475, 0.313676, 0.298253, -0.18106, 0.002565], [-0.002836, 0.593719, -0.163323, -0.220475, 0.851564, -0.17927, 0.003453], [0.189049, -0.309644, 0.252055, 0.360158, 0.236432, 0.137895, 0.257372], [0.199164, -0.329967, 0.023028, 0.179451, -0.272438, -0.093928, 0.169953], [-0.081609, -0.021542, -0.353826, -0.133, 0.377247, 0.045975, -0.016727], [0.279969, -0.163654, -0.109133, 0.016028, 0.116542, 0.169773, 0.337107]], "network.8.bias": [-0.193885, -0.189306, -0.294124, -0.305798, -0.010035, 0.464178, -0.185501], "network.10.weight": [[-0.328241, -0.45496, -0.733442, -0.025496, 0.144809, 0.379064, 0.195876]], "network.10.bias": [0.452341]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7058942317962646, "train_acc": 0.43, "val_loss": 0.6921989917755127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6929499208927155, "train_acc": 0.5, "val_loss": 0.6833150386810303, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6775227785110474, "train_acc": 0.57, "val_loss": 0.6658065915107727, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6562391519546509, "train_acc": 0.57, "val_loss": 0.6281144022941589, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6098178029060364, "train_acc": 0.5, "val_loss": 0.5519349575042725, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5392991006374359, "train_acc": 0.5, "val_loss": 0.5039103031158447, "val_acc": 0.5}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.500430166721344, "train_acc": 0.595, "val_loss": 0.47098055481910706, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4655115455389023, "train_acc": 0.82, "val_loss": 0.4531233310699463, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.44806502759456635, "train_acc": 0.82, "val_loss": 0.43359142541885376, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.42815209925174713, "train_acc": 0.87, "val_loss": 0.42155343294143677, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3973020613193512, "train_acc": 0.87, "val_loss": 0.39470764994621277, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.36660146713256836, "train_acc": 0.9, "val_loss": 0.3708859980106354, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.3682626187801361, "train_acc": 0.89, "val_loss": 0.35646864771842957, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.32530200481414795, "train_acc": 0.91, "val_loss": 0.362252801656723, "val_acc": 0.86}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6921989917755127, "final_val_loss": 0.6281144022941589, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5519349575042725, "final_val_loss": 0.362252801656723, "initial_val_acc": 0.5, "final_val_acc": 0.86, "best_val_acc": 0.88, "best_epoch": 12}, "improvement": 0.38, "first_improvement_epoch": 3}}
|
316
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6857, "learning_rate": 0.06591753801813727, "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: 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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"network.0.bias": [
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"network.2.weight": [
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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: [[21.426186, 21.907170, 22.506570, 24.031877, 24.300991, 25.171304, 25.658717, 25.939701, 26.103782, 32.006458], [17.871257, 17.878722, 18.049155, 18.536361, 19.061013, 19.430164, 19.647004, 20.090441, 21.212612, 118.243883], [10.456404, 11.199385, 12.213701, 12.323411, 12.983154, 12.998166, 13.244343, 13.309619, 13.391181, 15.729100], [25.296587, 25.504323, 27.222919, 28.884371, 29.954321, 31.637786, 33.128534, 38.937011, 40.028284, 270.005002], [18.875019, 19.270535, 20.632808, 21.092595, 21.271127, 21.345982, 21.796709, 23.074257, 37.894308, 105.172186], [16.431985, 17.107286, 17.816682, 20.393707, 21.155494, 23.103885, 23.218146, 23.791805, 26.471521, 31.448926]]
### 2
fourier: [[13.413642, 13.465083, 13.573965, 13.790870, 13.994371, 14.558983, 14.768140, 17.022640, 17.289384, 17.574246], [12.041410, 12.572833, 13.058984, 13.322143, 14.124933, 16.448375, 17.278008, 17.743554, 23.216633, 63.460703], [9.207595, 9.224989, 9.298991, 9.931156, 10.003846, 10.535575, 11.676692, 11.682220, 16.783414, 50.639067], [11.850242, 11.890857, 12.441599, 13.780017, 14.146479, 14.207530, 14.596432, 17.801160, 19.235447, 151.354299], [9.154333, 9.192967, 9.553846, 9.836204, 10.573729, 11.270624, 11.712992, 12.388279, 14.267069, 38.795136], [6.942542, 7.189853, 7.359388, 7.932264, 8.058476, 8.480995, 8.710760, 9.356059, 9.456569, 92.414200]]
### 4
fourier: [[7.854237, 8.264960, 8.458661, 8.952098, 9.117626, 9.299330, 10.611287, 12.072546, 12.218782, 15.473949], [5.564246, 5.930913, 6.180815, 6.182958, 6.754152, 7.042534, 7.170425, 7.499939, 7.825296, 46.343212], [11.144170, 11.199764, 11.217180, 11.261566, 11.329416, 13.842451, 14.603792, 17.288422, 19.408979, 28.487659], [6.412845, 6.610098, 7.104490, 7.339403, 7.351564, 7.428515, 8.739139, 9.661836, 10.137944, 17.264593], [6.724722, 6.982183, 7.025153, 7.408794, 8.054295, 8.128746, 8.324162, 8.499998, 10.642718, 10.985724], [5.440926, 5.780389, 5.909059, 5.924265, 6.277760, 6.299547, 6.836309, 7.681302, 8.504518, 13.963023]]
### 6
fourier: [[5.074127, 5.098789, 5.190768, 5.321660, 5.401363, 5.631489, 6.107618, 7.846178, 7.942239, 8.617870], [8.770371, 8.793179, 8.808690, 9.136341, 9.275186, 9.532471, 10.886148, 13.809937, 15.066302, 37.094770], [11.562858, 11.814101, 11.961599, 12.284678, 12.973527, 13.368253, 14.082576, 18.919054, 19.934337, 56.483311], [5.440825, 5.510301, 5.683853, 5.772721, 6.002480, 6.023969, 6.989657, 8.643131, 9.583913, 41.327889], [4.153221, 4.312510, 4.495987, 4.509285, 4.539528, 5.127322, 5.428196, 5.957436, 6.135919, 33.485839], [8.702507, 8.779491, 8.871872, 9.314128, 9.373742, 9.663637, 10.765602, 13.836927, 14.905281, 39.892070]]
### 8
fourier: [[0.737672, 0.759670, 0.819016, 0.825411, 0.849859, 0.858587, 0.973061, 0.988913, 1.074638, 13.774366], [9.416887, 9.519352, 9.860380, 10.312794, 10.592178, 10.975007, 11.106955, 15.355598, 16.018432, 71.398329], [7.730575, 7.925953, 8.117478, 8.173908, 8.277976, 8.798621, 8.926421, 11.005573, 12.554723, 12.984524], [3.545450, 3.550059, 3.661035, 3.909765, 4.063202, 4.074821, 4.181534, 5.648534, 5.860390, 44.300647], [1.285766, 1.313106, 1.397786, 1.419364, 1.435514, 1.488446, 1.624621, 2.108414, 2.136823, 37.589469], [9.321516, 9.655215, 9.731888, 9.943397, 9.977575, 10.571326, 10.871813, 15.065509, 15.963883, 37.967733]]
### 10
fourier: [[7.583105, 7.744722, 7.808368, 7.917742, 8.329651, 8.445987, 8.821150, 12.172032, 12.683819, 26.592184]]
## 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: 5
Neurons per Layer: 6
Activation Function: gelu
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: [[21.426186, 21.907170, 22.506570, 24.031877, 24.300991, 25.171304, 25.658717, 25.939701, 26.103782, 32.006458], [17.871257, 17.878722, 18.049155, 18.536361, 19.061013, 19.430164, 19.647004, 20.090441, 21.212612, 118.243883], [10.456404, 11.199385, 12.213701, 12.323411, 12.983154, 12.998166, 13.244343, 13.309619, 13.391181, 15.729100], [25.296587, 25.504323, 27.222919, 28.884371, 29.954321, 31.637786, 33.128534, 38.937011, 40.028284, 270.005002], [18.875019, 19.270535, 20.632808, 21.092595, 21.271127, 21.345982, 21.796709, 23.074257, 37.894308, 105.172186], [16.431985, 17.107286, 17.816682, 20.393707, 21.155494, 23.103885, 23.218146, 23.791805, 26.471521, 31.448926]]
### 2
fourier: [[13.413642, 13.465083, 13.573965, 13.790870, 13.994371, 14.558983, 14.768140, 17.022640, 17.289384, 17.574246], [12.041410, 12.572833, 13.058984, 13.322143, 14.124933, 16.448375, 17.278008, 17.743554, 23.216633, 63.460703], [9.207595, 9.224989, 9.298991, 9.931156, 10.003846, 10.535575, 11.676692, 11.682220, 16.783414, 50.639067], [11.850242, 11.890857, 12.441599, 13.780017, 14.146479, 14.207530, 14.596432, 17.801160, 19.235447, 151.354299], [9.154333, 9.192967, 9.553846, 9.836204, 10.573729, 11.270624, 11.712992, 12.388279, 14.267069, 38.795136], [6.942542, 7.189853, 7.359388, 7.932264, 8.058476, 8.480995, 8.710760, 9.356059, 9.456569, 92.414200]]
### 4
fourier: [[7.854237, 8.264960, 8.458661, 8.952098, 9.117626, 9.299330, 10.611287, 12.072546, 12.218782, 15.473949], [5.564246, 5.930913, 6.180815, 6.182958, 6.754152, 7.042534, 7.170425, 7.499939, 7.825296, 46.343212], [11.144170, 11.199764, 11.217180, 11.261566, 11.329416, 13.842451, 14.603792, 17.288422, 19.408979, 28.487659], [6.412845, 6.610098, 7.104490, 7.339403, 7.351564, 7.428515, 8.739139, 9.661836, 10.137944, 17.264593], [6.724722, 6.982183, 7.025153, 7.408794, 8.054295, 8.128746, 8.324162, 8.499998, 10.642718, 10.985724], [5.440926, 5.780389, 5.909059, 5.924265, 6.277760, 6.299547, 6.836309, 7.681302, 8.504518, 13.963023]]
### 6
fourier: [[5.074127, 5.098789, 5.190768, 5.321660, 5.401363, 5.631489, 6.107618, 7.846178, 7.942239, 8.617870], [8.770371, 8.793179, 8.808690, 9.136341, 9.275186, 9.532471, 10.886148, 13.809937, 15.066302, 37.094770], [11.562858, 11.814101, 11.961599, 12.284678, 12.973527, 13.368253, 14.082576, 18.919054, 19.934337, 56.483311], [5.440825, 5.510301, 5.683853, 5.772721, 6.002480, 6.023969, 6.989657, 8.643131, 9.583913, 41.327889], [4.153221, 4.312510, 4.495987, 4.509285, 4.539528, 5.127322, 5.428196, 5.957436, 6.135919, 33.485839], [8.702507, 8.779491, 8.871872, 9.314128, 9.373742, 9.663637, 10.765602, 13.836927, 14.905281, 39.892070]]
### 8
fourier: [[0.737672, 0.759670, 0.819016, 0.825411, 0.849859, 0.858587, 0.973061, 0.988913, 1.074638, 13.774366], [9.416887, 9.519352, 9.860380, 10.312794, 10.592178, 10.975007, 11.106955, 15.355598, 16.018432, 71.398329], [7.730575, 7.925953, 8.117478, 8.173908, 8.277976, 8.798621, 8.926421, 11.005573, 12.554723, 12.984524], [3.545450, 3.550059, 3.661035, 3.909765, 4.063202, 4.074821, 4.181534, 5.648534, 5.860390, 44.300647], [1.285766, 1.313106, 1.397786, 1.419364, 1.435514, 1.488446, 1.624621, 2.108414, 2.136823, 37.589469], [9.321516, 9.655215, 9.731888, 9.943397, 9.977575, 10.571326, 10.871813, 15.065509, 15.963883, 37.967733]]
### 10
fourier: [[7.583105, 7.744722, 7.808368, 7.917742, 8.329651, 8.445987, 8.821150, 12.172032, 12.683819, 26.592184]]
## 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": 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": [[0.203354, 0.2543, 0.238524, -0.742072, 0.140646], [-0.418763, -0.055349, 0.637504, -0.055573, 0.000806], [-0.045773, -0.17254, -0.176963, 0.347372, 0.024913], [0.203295, 0.499782, 0.400057, 0.451546, 0.136709], [0.280532, -0.388387, -0.559357, 0.334198, -0.437662], [0.49436, -0.515915, -0.132374, 0.490536, -0.461129]], "network.0.bias": [0.470184, 0.722311, 0.102305, -0.136246, 0.181591, -0.231212], "network.2.weight": [[0.600058, 0.219293, -0.294991, -0.301047, -0.328305, -0.203719], [-0.453525, 0.269809, -0.385551, 0.40774, -0.464022, -0.347395], [0.688886, 0.277255, 0.23983, -0.154037, 0.172625, 0.537659], [-0.034176, -0.477522, 0.028957, -0.332247, 0.028945, 0.220339], [-0.232444, 0.065203, 0.023303, 0.30367, -0.189598, -0.556636], [-0.020688, -0.206915, -0.059272, -0.216163, 0.130855, -0.027965]], "network.2.bias": [0.163576, -0.245963, -0.111472, -0.125567, -0.209439, -0.088206], "network.4.weight": [[-0.464984, 0.369534, -0.303193, -0.299146, 0.107276, 0.367566], [0.171213, 0.131564, 0.284403, -0.126419, 0.572893, 0.85099], [-0.217652, 0.500017, -0.340093, 0.089504, 0.499152, 0.137646], [-0.337481, 0.425402, -0.312606, -0.030316, -0.136424, -0.125843], [-0.436821, 0.426357, -0.165477, -0.390084, -0.006808, 0.395028], [-0.062143, 0.173523, -0.370768, 0.348949, 0.165355, -0.07455]], "network.4.bias": [0.160151, 0.074525, 0.007149, 0.17917, 0.005194, -0.115329], "network.6.weight": [[-0.371297, 0.351065, -0.161819, 0.071256, -0.59583, 0.027411], [0.549395, 0.516614, 0.001436, -0.007504, 0.711928, 0.077043], [0.377126, -0.033305, 0.595682, 0.495894, 0.202474, 0.301427], [-0.308005, -0.459866, 0.099824, -0.21007, -0.242642, -0.300541], [-0.60484, 0.357405, 0.148805, -0.507476, 0.008978, -0.250834], [0.230699, 0.232955, 0.533712, 0.156785, 0.009268, 0.240728]], "network.6.bias": [-0.014219, -0.03577, 0.189798, -0.157668, -0.335178, 0.05233], "network.8.weight": [[0.483626, 0.27115, 0.088159, -0.006759, -0.337825, -0.269381], [-0.593976, 0.011728, 0.4804, -0.315437, -0.364624, 0.356897], [-0.128115, 0.373522, 0.288275, 0.215634, -0.107197, 0.143964], [-0.6219, -0.082056, 0.121233, -0.238378, -0.054738, 0.237612], [-0.106654, 0.033684, -0.045237, 0.247591, 0.300426, 0.191144], [0.054034, 0.336877, 0.569331, -0.214375, -0.19462, -0.000771]], "network.8.bias": [-0.237472, 0.311035, -0.223652, 0.336815, -0.422236, -0.072496], "network.10.weight": [[0.047674, -0.52929, -0.168351, 0.088484, 0.088961, -0.173671]], "network.10.bias": [0.144204]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7037739157676697, "train_acc": 0.465, "val_loss": 0.697388768196106, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.668351799249649, "train_acc": 0.59, "val_loss": 0.6980103850364685, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6332976520061493, "train_acc": 0.59, "val_loss": 0.6235603094100952, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7830924391746521, "train_acc": 0.505, "val_loss": 0.5656098127365112, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5921153724193573, "train_acc": 0.755, "val_loss": 0.6599864363670349, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6740706264972687, "train_acc": 0.595, "val_loss": 0.6651952862739563, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6689981520175934, "train_acc": 0.58, "val_loss": 0.6495077013969421, "val_acc": 0.64}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.697388768196106, "final_val_loss": 0.6235603094100952, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5656098127365112, "final_val_loss": 0.6495077013969421, "initial_val_acc": 0.86, "final_val_acc": 0.64, "best_val_acc": 0.86, "best_epoch": 3}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
317
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{"target_pattern": "first_last_match", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4058, "learning_rate": 0.048455558632156455, "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: gelu
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: [[20.487690, 21.891517, 21.976599, 23.022485, 23.217728, 23.409466, 23.423349, 23.795791, 30.404832, 35.199325], [14.869652, 16.486122, 16.790492, 17.112223, 17.831797, 18.555385, 18.738007, 19.160443, 21.208112, 21.280503], [19.410111, 19.545199, 20.085662, 20.358084, 20.812728, 22.459439, 22.694230, 23.536272, 25.750675, 30.448894], [14.250525, 14.308761, 14.784049, 15.399900, 15.526311, 16.260816, 18.358648, 18.576969, 19.543106, 82.121368], [17.516648, 18.527854, 18.654859, 18.675452, 20.088518, 22.228431, 23.464454, 26.019356, 33.464946, 103.279314], [33.925350, 34.444497, 35.247130, 35.336727, 35.643141, 36.421898, 42.547473, 46.745054, 47.732132, 238.658586], [25.037055, 25.203496, 26.379908, 27.648190, 31.873331, 31.891223, 33.883225, 36.151895, 39.489761, 315.661400], [16.436578, 16.477731, 16.634397, 16.674214, 17.456751, 17.819346, 18.897887, 19.059968, 21.001319, 25.525953]]
### 2
fourier: [[8.852042, 9.185327, 9.829132, 10.202120, 10.368046, 10.556714, 12.391929, 13.013808, 13.672696, 19.260164], [8.613523, 8.920711, 9.134796, 9.511904, 10.762913, 10.998487, 11.132702, 11.522386, 11.892772, 46.968330], [14.245789, 14.837798, 15.217327, 15.319043, 15.486415, 15.497834, 15.745885, 17.024057, 18.004857, 20.604326], [8.368519, 8.750630, 9.244555, 9.642733, 9.669540, 10.275250, 10.956719, 12.390500, 12.610961, 16.328245], [8.995248, 9.132805, 9.243600, 9.683136, 10.880268, 11.450315, 12.848464, 13.131894, 13.688062, 26.095769], [8.784504, 8.979473, 10.564724, 10.813294, 11.212545, 12.459487, 12.916490, 15.350666, 15.545419, 20.903090], [4.333278, 4.523618, 4.736243, 5.119278, 5.231054, 5.522755, 6.251957, 6.795049, 7.286513, 31.381626], [3.514370, 3.559463, 3.590678, 3.606345, 3.640752, 3.734650, 4.789914, 5.083934, 5.864882, 39.256949]]
### 4
fourier: [[13.684148, 14.553221, 15.140392, 15.476034, 17.238416, 17.501095, 18.064587, 18.403516, 21.459575, 23.089036], [9.249519, 9.263154, 9.486668, 9.562584, 9.667507, 9.834363, 10.060707, 10.395300, 12.156313, 13.842566], [7.515909, 8.388808, 8.506410, 8.821632, 9.366598, 9.458939, 10.014700, 11.719397, 12.125701, 36.014136], [8.348486, 8.723520, 8.855282, 9.220406, 10.285692, 10.510706, 11.146806, 12.445529, 14.409105, 32.294637], [10.293128, 10.574810, 10.864288, 10.865106, 11.742975, 12.013117, 13.846141, 15.305589, 16.000825, 37.214906], [12.286307, 12.519209, 13.155220, 14.034610, 14.737287, 16.207324, 16.283855, 16.808674, 19.833194, 21.027260], [5.850206, 6.000906, 6.122876, 6.175950, 6.737991, 6.925570, 8.668946, 8.989063, 9.353481, 29.649544], [6.104604, 6.175043, 6.436601, 6.905789, 7.464356, 7.781998, 7.963032, 7.982370, 9.512425, 11.111902]]
### 6
fourier: [[3.834595, 3.883124, 3.934155, 4.007864, 4.149245, 4.862684, 5.501837, 5.717221, 6.529222, 30.490787], [8.543535, 9.558814, 9.747079, 10.214095, 10.225701, 11.281110, 11.728090, 13.820200, 13.901528, 14.197081], [4.773746, 4.920741, 5.905042, 5.975767, 6.047897, 6.192961, 6.845742, 7.804553, 8.527789, 8.765118], [8.257240, 8.623846, 9.666610, 9.870830, 10.219194, 10.831110, 11.287731, 12.649861, 13.305184, 14.707674], [2.135412, 2.233075, 2.398622, 2.613198, 2.688399, 2.760731, 3.190891, 3.471936, 3.909186, 17.831020], [4.171445, 4.295156, 4.439455, 4.538587, 4.651414, 5.568505, 6.343063, 6.471260, 7.395273, 11.836920], [4.458734, 4.665971, 5.216128, 5.319460, 5.663731, 6.181861, 6.654982, 7.058057, 8.042232, 16.089994], [2.344134, 2.663378, 2.674717, 2.699347, 3.213821, 3.251966, 3.317544, 4.039506, 4.195729, 43.893107]]
### 8
fourier: [[5.752915, 6.470150, 6.506496, 6.602218, 6.665478, 7.691766, 7.954707, 8.217731, 8.994415, 9.264378]]
## 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: gelu
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: [[20.487690, 21.891517, 21.976599, 23.022485, 23.217728, 23.409466, 23.423349, 23.795791, 30.404832, 35.199325], [14.869652, 16.486122, 16.790492, 17.112223, 17.831797, 18.555385, 18.738007, 19.160443, 21.208112, 21.280503], [19.410111, 19.545199, 20.085662, 20.358084, 20.812728, 22.459439, 22.694230, 23.536272, 25.750675, 30.448894], [14.250525, 14.308761, 14.784049, 15.399900, 15.526311, 16.260816, 18.358648, 18.576969, 19.543106, 82.121368], [17.516648, 18.527854, 18.654859, 18.675452, 20.088518, 22.228431, 23.464454, 26.019356, 33.464946, 103.279314], [33.925350, 34.444497, 35.247130, 35.336727, 35.643141, 36.421898, 42.547473, 46.745054, 47.732132, 238.658586], [25.037055, 25.203496, 26.379908, 27.648190, 31.873331, 31.891223, 33.883225, 36.151895, 39.489761, 315.661400], [16.436578, 16.477731, 16.634397, 16.674214, 17.456751, 17.819346, 18.897887, 19.059968, 21.001319, 25.525953]]
### 2
fourier: [[8.852042, 9.185327, 9.829132, 10.202120, 10.368046, 10.556714, 12.391929, 13.013808, 13.672696, 19.260164], [8.613523, 8.920711, 9.134796, 9.511904, 10.762913, 10.998487, 11.132702, 11.522386, 11.892772, 46.968330], [14.245789, 14.837798, 15.217327, 15.319043, 15.486415, 15.497834, 15.745885, 17.024057, 18.004857, 20.604326], [8.368519, 8.750630, 9.244555, 9.642733, 9.669540, 10.275250, 10.956719, 12.390500, 12.610961, 16.328245], [8.995248, 9.132805, 9.243600, 9.683136, 10.880268, 11.450315, 12.848464, 13.131894, 13.688062, 26.095769], [8.784504, 8.979473, 10.564724, 10.813294, 11.212545, 12.459487, 12.916490, 15.350666, 15.545419, 20.903090], [4.333278, 4.523618, 4.736243, 5.119278, 5.231054, 5.522755, 6.251957, 6.795049, 7.286513, 31.381626], [3.514370, 3.559463, 3.590678, 3.606345, 3.640752, 3.734650, 4.789914, 5.083934, 5.864882, 39.256949]]
### 4
fourier: [[13.684148, 14.553221, 15.140392, 15.476034, 17.238416, 17.501095, 18.064587, 18.403516, 21.459575, 23.089036], [9.249519, 9.263154, 9.486668, 9.562584, 9.667507, 9.834363, 10.060707, 10.395300, 12.156313, 13.842566], [7.515909, 8.388808, 8.506410, 8.821632, 9.366598, 9.458939, 10.014700, 11.719397, 12.125701, 36.014136], [8.348486, 8.723520, 8.855282, 9.220406, 10.285692, 10.510706, 11.146806, 12.445529, 14.409105, 32.294637], [10.293128, 10.574810, 10.864288, 10.865106, 11.742975, 12.013117, 13.846141, 15.305589, 16.000825, 37.214906], [12.286307, 12.519209, 13.155220, 14.034610, 14.737287, 16.207324, 16.283855, 16.808674, 19.833194, 21.027260], [5.850206, 6.000906, 6.122876, 6.175950, 6.737991, 6.925570, 8.668946, 8.989063, 9.353481, 29.649544], [6.104604, 6.175043, 6.436601, 6.905789, 7.464356, 7.781998, 7.963032, 7.982370, 9.512425, 11.111902]]
### 6
fourier: [[3.834595, 3.883124, 3.934155, 4.007864, 4.149245, 4.862684, 5.501837, 5.717221, 6.529222, 30.490787], [8.543535, 9.558814, 9.747079, 10.214095, 10.225701, 11.281110, 11.728090, 13.820200, 13.901528, 14.197081], [4.773746, 4.920741, 5.905042, 5.975767, 6.047897, 6.192961, 6.845742, 7.804553, 8.527789, 8.765118], [8.257240, 8.623846, 9.666610, 9.870830, 10.219194, 10.831110, 11.287731, 12.649861, 13.305184, 14.707674], [2.135412, 2.233075, 2.398622, 2.613198, 2.688399, 2.760731, 3.190891, 3.471936, 3.909186, 17.831020], [4.171445, 4.295156, 4.439455, 4.538587, 4.651414, 5.568505, 6.343063, 6.471260, 7.395273, 11.836920], [4.458734, 4.665971, 5.216128, 5.319460, 5.663731, 6.181861, 6.654982, 7.058057, 8.042232, 16.089994], [2.344134, 2.663378, 2.674717, 2.699347, 3.213821, 3.251966, 3.317544, 4.039506, 4.195729, 43.893107]]
### 8
fourier: [[5.752915, 6.470150, 6.506496, 6.602218, 6.665478, 7.691766, 7.954707, 8.217731, 8.994415, 9.264378]]
## 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": 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": [[0.409665, -0.34616, 0.02846, -0.464471, 0.309593], [0.533318, 0.128761, -0.184799, -0.097193, -0.286747], [-0.531948, 0.059829, -0.195341, 0.202464, 0.54163], [-0.242409, -0.021011, 0.122673, 0.436277, -0.322035], [-0.181049, -0.126456, -0.480164, 0.400289, -0.127279], [-0.849613, -0.564533, -0.130137, -0.316837, 0.11193], [0.062847, -0.364978, -0.433274, -0.763864, 0.177199], [-0.400167, -0.127527, 0.090667, -0.040218, 0.59331]], "network.0.bias": [0.284623, 0.202426, 0.108372, 0.457764, -0.390224, 0.247472, -0.595908, -0.289355], "network.2.weight": [[0.031312, 0.240206, 0.323036, -0.220157, 0.177912, -0.007341, -0.627084, 0.41595], [-0.150044, 0.40867, -0.185912, -0.334686, -0.104199, -0.494213, -0.226937, -0.247224], [0.363842, -0.513467, 0.546862, -0.092818, -0.222325, 0.033021, -0.233523, 0.49833], [-0.080703, -0.638642, -0.290091, 0.104753, 0.423042, -0.090338, -0.226023, -0.158812], [-0.04093, -0.384823, 0.156462, 0.404932, 0.222284, 0.303587, 0.181128, -0.193787], [0.283024, 0.381426, 0.054853, -0.248859, 0.181775, 0.293477, -0.480052, 0.412904], [0.158194, 0.148634, 0.220089, -0.104842, -0.413429, -0.10888, 0.03292, 0.014478], [0.03288, -0.260642, 0.117632, -0.264574, 0.536596, -0.502974, 0.017516, -0.135007]], "network.2.bias": [-0.037266, -0.168399, -0.238222, 0.252203, 0.052414, 0.048782, -0.471992, -0.172654], "network.4.weight": [[-0.745076, -0.182085, -0.354189, -0.075535, 0.386562, -0.542807, -0.362385, -0.029351], [-0.304167, 0.205543, -0.410732, 0.410208, 0.079554, -0.172998, -0.109451, -0.139334], [-0.031669, -0.067612, -0.444401, 0.093189, 0.418246, -0.213167, 0.026333, 0.078974], [-0.465276, -0.427939, -0.226715, -0.057245, 0.28441, -0.138599, -0.487477, -0.086172], [0.315746, 0.171287, 0.574479, 0.353456, -0.2521, 0.287428, 0.134493, -0.647141], [-0.328389, -0.121176, -0.445932, 0.231839, 0.394486, -0.505707, -0.650423, -0.296478], [-0.403807, 0.125979, -0.071918, 0.112065, -0.169078, -0.39595, -0.164613, 0.458909], [-0.246099, -0.630001, -0.240285, 0.015539, -0.046352, -0.159604, -0.320714, -0.462954]], "network.4.bias": [0.107741, 0.245404, -0.331828, -0.278273, 0.056389, 0.021959, 0.002786, 0.021323], "network.6.weight": [[0.223764, 0.14033, -0.19847, 0.242156, 0.012594, 0.566733, 0.355978, 0.079018], [0.557226, 0.165118, 0.070789, 0.53611, -0.297977, 0.727517, -0.078176, 0.340339], [0.188756, 0.595253, -0.062216, 0.277171, -0.18775, 0.266306, 0.432486, 0.149329], [-0.182057, -0.129617, -0.383263, -0.304438, 0.536225, -0.486569, -0.129381, -0.498044], [0.321615, -0.12225, -0.145091, 0.249375, -0.102115, -0.02945, 0.172612, 0.310553], [0.159591, 0.354011, 0.195778, 0.431764, 0.043013, 0.350525, -0.017063, 0.511395], [0.174119, -0.24428, 0.495574, 0.099765, -0.323752, 0.24512, -0.11818, 0.369634], [0.306281, 0.16744, 0.151957, -0.089761, -0.045312, 0.044533, 0.34466, 0.138869]], "network.6.bias": [-0.51008, -0.015215, -0.151204, 0.056203, -0.192715, -0.316355, -0.088845, -0.543678], "network.8.weight": [[0.346505, 0.295047, 0.348857, -0.29934, 0.130777, 0.417881, 0.289164, 0.273106]], "network.8.bias": [-0.018292]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7283128499984741, "train_acc": 0.435, "val_loss": 0.6956478953361511, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7004715800285339, "train_acc": 0.435, "val_loss": 0.689860999584198, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6904030442237854, "train_acc": 0.565, "val_loss": 0.690457284450531, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6766566634178162, "train_acc": 0.565, "val_loss": 0.6435385346412659, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6846886873245239, "train_acc": 0.62, "val_loss": 0.5361461639404297, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.591145783662796, "train_acc": 0.765, "val_loss": 0.4320778548717499, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.50667704641819, "train_acc": 0.825, "val_loss": 0.33127158880233765, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4362940788269043, "train_acc": 0.845, "val_loss": 0.24818222224712372, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.37360940873622894, "train_acc": 0.855, "val_loss": 0.25096237659454346, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3462885171175003, "train_acc": 0.85, "val_loss": 0.24998250603675842, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.32436706125736237, "train_acc": 0.87, "val_loss": 0.2529052495956421, "val_acc": 0.9}], "summary": {"total_epochs": 11, "degraded_epochs": 4, "improved_epochs": 7, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6956478953361511, "final_val_loss": 0.6435385346412659, "initial_val_acc": 0.5, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5361461639404297, "final_val_loss": 0.2529052495956421, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.92, "best_epoch": 5}, "improvement": 0.28, "first_improvement_epoch": 3}}
|
318
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1614, "learning_rate": 0.0652782667195052, "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.0.bias": [
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"network.2.weight": [
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## Activation Signature
### 0
fourier: [[18.289263, 18.439778, 18.630291, 19.347298, 24.024873, 24.379870, 26.185092, 29.088067, 32.170146, 155.629373], [23.530942, 24.442947, 25.421699, 26.092843, 26.217973, 26.942416, 27.450121, 28.960696, 34.369474, 36.341332], [25.248118, 25.565972, 26.844107, 27.311746, 27.509426, 29.143499, 31.613791, 32.393532, 35.645364, 144.771666], [22.193773, 23.373996, 23.944390, 24.470735, 24.962650, 26.643838, 30.735866, 31.277601, 34.791755, 114.862129], [18.077181, 18.151065, 19.107057, 19.313457, 19.565516, 21.472105, 22.897856, 24.755169, 27.078856, 47.999434], [19.670237, 20.342913, 20.752282, 21.723402, 22.762451, 25.784319, 28.280077, 31.021802, 35.881653, 40.117555], [20.990135, 22.023600, 22.448160, 22.764851, 23.798591, 27.746460, 27.976964, 30.041264, 33.836778, 36.506644], [19.764622, 19.860648, 20.773182, 21.075677, 21.576838, 24.109390, 24.333046, 25.827502, 30.400888, 198.786307]]
### 2
fourier: [[32.800825, 37.153888, 38.283395, 39.038949, 39.936614, 40.539727, 42.628780, 44.383924, 44.910265, 50.056548], [31.752185, 33.023646, 34.007700, 36.859898, 39.018637, 40.225103, 40.682541, 43.216034, 43.637335, 177.682586], [11.368619, 11.944695, 13.166369, 13.617793, 14.118941, 15.024310, 15.907230, 18.795321, 19.674192, 184.275452], [7.242969, 7.511512, 7.827586, 7.951910, 8.278934, 9.920595, 10.697935, 11.054093, 14.086285, 113.050266], [27.780481, 28.818584, 30.551482, 31.666450, 32.232080, 36.096149, 36.454079, 38.526341, 46.557153, 297.972360], [14.944621, 15.738558, 15.882831, 16.394451, 16.975651, 18.192394, 19.728923, 20.213062, 21.264969, 193.346051], [19.241586, 22.624092, 22.729288, 22.743794, 24.259595, 25.672508, 26.357446, 30.045418, 33.601856, 140.282957], [24.112859, 26.220820, 28.218269, 28.318810, 29.764565, 30.582582, 32.223529, 35.602944, 36.476648, 122.295465]]
### 4
fourier: [[2.627757, 2.647743, 2.779479, 2.868291, 2.923176, 3.231298, 3.560866, 3.912084, 4.569181, 58.073785], [8.098342, 8.370476, 8.444546, 10.432090, 11.788571, 12.583174, 13.004370, 14.398587, 15.615002, 99.770862], [19.208021, 19.821825, 20.181380, 20.510638, 22.559688, 23.967500, 24.244168, 26.162748, 31.205631, 220.654513], [53.699249, 58.628227, 63.694046, 63.777637, 63.851399, 65.678116, 76.864151, 81.883146, 86.915202, 425.469916], [11.508251, 11.743421, 11.892990, 12.049483, 12.901015, 16.018867, 16.891667, 17.655456, 17.862963, 105.022507], [25.373204, 25.915913, 27.731015, 28.159499, 29.745413, 30.823623, 35.307549, 35.521284, 40.946411, 324.785643], [11.688790, 12.057682, 12.635700, 13.072530, 14.048621, 14.986360, 15.691525, 16.802666, 16.818826, 68.541887], [55.993719, 56.628774, 65.568075, 66.297170, 67.073267, 69.310422, 77.663457, 84.839685, 90.018659, 409.863828]]
### 6
fourier: [[1.959111, 2.168671, 2.209619, 2.273543, 2.289859, 2.392121, 2.736959, 3.192427, 3.552493, 29.787779], [23.797808, 25.905971, 27.194396, 27.758949, 28.814811, 28.837567, 34.801259, 35.899866, 39.264239, 242.579736], [67.935235, 73.612483, 77.776969, 79.171538, 81.739749, 82.763892, 98.954355, 102.630718, 112.226464, 592.249622], [9.443828, 9.745301, 10.618399, 10.807814, 10.925924, 11.650607, 13.055736, 14.088075, 15.062973, 123.424272], [2.552741, 2.801718, 2.948535, 3.289512, 3.439396, 3.570049, 4.113026, 4.542186, 5.085275, 54.696222], [18.605312, 20.916709, 21.521119, 22.312969, 22.787342, 23.903366, 28.735707, 29.072192, 32.356077, 192.868016], [66.671441, 73.824322, 75.889398, 78.843653, 80.572108, 82.083451, 99.331814, 101.217766, 111.627005, 573.998908], [73.782636, 81.462171, 84.077722, 87.188224, 89.444086, 90.489246, 109.647518, 112.083896, 123.589380, 658.062068]]
### 8
fourier: [[9.706911, 10.638630, 11.158482, 11.387164, 11.650024, 11.878337, 14.215645, 14.759267, 16.177154, 106.868086], [123.598997, 134.248815, 139.853538, 145.274207, 148.996742, 151.771606, 182.667619, 186.561205, 205.501965, 1063.299345], [78.970448, 85.272254, 89.528576, 92.436982, 95.396470, 96.287679, 115.950241, 119.042746, 130.791121, 708.921234], [17.016370, 18.781640, 19.064962, 20.262090, 20.314691, 21.455563, 25.706579, 25.753946, 28.615479, 166.839649], [20.245581, 22.307898, 23.120948, 23.892575, 24.606965, 24.677318, 29.978938, 30.775970, 33.894046, 216.956945], [86.745595, 94.108833, 98.158278, 101.888646, 104.580619, 106.431236, 128.077812, 130.887378, 144.124455, 783.302044], [21.111053, 22.708418, 23.978083, 24.637596, 25.552032, 25.592943, 30.844772, 31.802664, 34.871359, 192.260859], [19.552433, 20.772877, 22.358295, 22.589211, 23.223427, 23.836730, 28.086874, 29.405129, 32.013741, 192.458289]]
### 10
fourier: [[68.240298, 73.475067, 76.786658, 80.059517, 82.007884, 84.246923, 100.800394, 102.622534, 113.146454, 549.465925]]
## 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: [[18.289263, 18.439778, 18.630291, 19.347298, 24.024873, 24.379870, 26.185092, 29.088067, 32.170146, 155.629373], [23.530942, 24.442947, 25.421699, 26.092843, 26.217973, 26.942416, 27.450121, 28.960696, 34.369474, 36.341332], [25.248118, 25.565972, 26.844107, 27.311746, 27.509426, 29.143499, 31.613791, 32.393532, 35.645364, 144.771666], [22.193773, 23.373996, 23.944390, 24.470735, 24.962650, 26.643838, 30.735866, 31.277601, 34.791755, 114.862129], [18.077181, 18.151065, 19.107057, 19.313457, 19.565516, 21.472105, 22.897856, 24.755169, 27.078856, 47.999434], [19.670237, 20.342913, 20.752282, 21.723402, 22.762451, 25.784319, 28.280077, 31.021802, 35.881653, 40.117555], [20.990135, 22.023600, 22.448160, 22.764851, 23.798591, 27.746460, 27.976964, 30.041264, 33.836778, 36.506644], [19.764622, 19.860648, 20.773182, 21.075677, 21.576838, 24.109390, 24.333046, 25.827502, 30.400888, 198.786307]]
### 2
fourier: [[32.800825, 37.153888, 38.283395, 39.038949, 39.936614, 40.539727, 42.628780, 44.383924, 44.910265, 50.056548], [31.752185, 33.023646, 34.007700, 36.859898, 39.018637, 40.225103, 40.682541, 43.216034, 43.637335, 177.682586], [11.368619, 11.944695, 13.166369, 13.617793, 14.118941, 15.024310, 15.907230, 18.795321, 19.674192, 184.275452], [7.242969, 7.511512, 7.827586, 7.951910, 8.278934, 9.920595, 10.697935, 11.054093, 14.086285, 113.050266], [27.780481, 28.818584, 30.551482, 31.666450, 32.232080, 36.096149, 36.454079, 38.526341, 46.557153, 297.972360], [14.944621, 15.738558, 15.882831, 16.394451, 16.975651, 18.192394, 19.728923, 20.213062, 21.264969, 193.346051], [19.241586, 22.624092, 22.729288, 22.743794, 24.259595, 25.672508, 26.357446, 30.045418, 33.601856, 140.282957], [24.112859, 26.220820, 28.218269, 28.318810, 29.764565, 30.582582, 32.223529, 35.602944, 36.476648, 122.295465]]
### 4
fourier: [[2.627757, 2.647743, 2.779479, 2.868291, 2.923176, 3.231298, 3.560866, 3.912084, 4.569181, 58.073785], [8.098342, 8.370476, 8.444546, 10.432090, 11.788571, 12.583174, 13.004370, 14.398587, 15.615002, 99.770862], [19.208021, 19.821825, 20.181380, 20.510638, 22.559688, 23.967500, 24.244168, 26.162748, 31.205631, 220.654513], [53.699249, 58.628227, 63.694046, 63.777637, 63.851399, 65.678116, 76.864151, 81.883146, 86.915202, 425.469916], [11.508251, 11.743421, 11.892990, 12.049483, 12.901015, 16.018867, 16.891667, 17.655456, 17.862963, 105.022507], [25.373204, 25.915913, 27.731015, 28.159499, 29.745413, 30.823623, 35.307549, 35.521284, 40.946411, 324.785643], [11.688790, 12.057682, 12.635700, 13.072530, 14.048621, 14.986360, 15.691525, 16.802666, 16.818826, 68.541887], [55.993719, 56.628774, 65.568075, 66.297170, 67.073267, 69.310422, 77.663457, 84.839685, 90.018659, 409.863828]]
### 6
fourier: [[1.959111, 2.168671, 2.209619, 2.273543, 2.289859, 2.392121, 2.736959, 3.192427, 3.552493, 29.787779], [23.797808, 25.905971, 27.194396, 27.758949, 28.814811, 28.837567, 34.801259, 35.899866, 39.264239, 242.579736], [67.935235, 73.612483, 77.776969, 79.171538, 81.739749, 82.763892, 98.954355, 102.630718, 112.226464, 592.249622], [9.443828, 9.745301, 10.618399, 10.807814, 10.925924, 11.650607, 13.055736, 14.088075, 15.062973, 123.424272], [2.552741, 2.801718, 2.948535, 3.289512, 3.439396, 3.570049, 4.113026, 4.542186, 5.085275, 54.696222], [18.605312, 20.916709, 21.521119, 22.312969, 22.787342, 23.903366, 28.735707, 29.072192, 32.356077, 192.868016], [66.671441, 73.824322, 75.889398, 78.843653, 80.572108, 82.083451, 99.331814, 101.217766, 111.627005, 573.998908], [73.782636, 81.462171, 84.077722, 87.188224, 89.444086, 90.489246, 109.647518, 112.083896, 123.589380, 658.062068]]
### 8
fourier: [[9.706911, 10.638630, 11.158482, 11.387164, 11.650024, 11.878337, 14.215645, 14.759267, 16.177154, 106.868086], [123.598997, 134.248815, 139.853538, 145.274207, 148.996742, 151.771606, 182.667619, 186.561205, 205.501965, 1063.299345], [78.970448, 85.272254, 89.528576, 92.436982, 95.396470, 96.287679, 115.950241, 119.042746, 130.791121, 708.921234], [17.016370, 18.781640, 19.064962, 20.262090, 20.314691, 21.455563, 25.706579, 25.753946, 28.615479, 166.839649], [20.245581, 22.307898, 23.120948, 23.892575, 24.606965, 24.677318, 29.978938, 30.775970, 33.894046, 216.956945], [86.745595, 94.108833, 98.158278, 101.888646, 104.580619, 106.431236, 128.077812, 130.887378, 144.124455, 783.302044], [21.111053, 22.708418, 23.978083, 24.637596, 25.552032, 25.592943, 30.844772, 31.802664, 34.871359, 192.260859], [19.552433, 20.772877, 22.358295, 22.589211, 23.223427, 23.836730, 28.086874, 29.405129, 32.013741, 192.458289]]
### 10
fourier: [[68.240298, 73.475067, 76.786658, 80.059517, 82.007884, 84.246923, 100.800394, 102.622534, 113.146454, 549.465925]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.277098, 0.073432, 0.60659, -0.152148, 0.487853], [-0.40732, -0.336909, -0.279395, 0.673059, -0.065955], [0.536499, 0.73451, -0.281546, -0.041642, 0.278332], [0.773986, -0.04672, 0.026422, 0.247364, 0.092196], [-0.55168, -0.115402, 0.072572, 0.350828, 0.277785], [-0.242413, -0.726308, 0.526957, -0.035522, 0.147432], [-0.731715, 0.021203, 0.036439, 0.494424, 0.090525], [-0.436811, -0.414388, -0.071111, -0.077253, -0.197962]], "network.0.bias": [0.397728, 0.227608, -0.063369, -0.301161, 0.183624, 0.165835, -0.065234, -0.35168], "network.2.weight": [[-0.542885, -0.817091, 0.741224, 0.639938, 0.238202, -0.184991, -0.508352, 0.024409], [1.054597, 0.22068, -0.514498, -0.262784, 0.037196, 0.376418, 0.586798, 0.1694], [-0.111958, 0.041847, -0.148514, -0.389845, -0.380348, -0.300522, -0.166133, 0.011554], [-0.125241, -0.324289, -0.121373, -0.176283, -0.235931, 0.115698, 0.069976, -0.099499], [0.688789, 0.892867, 0.189058, -0.292875, 0.343893, 0.491556, 0.83701, -0.156793], [-0.230121, -0.066633, -0.229162, -0.259264, -0.451535, -0.146381, -0.424101, -0.317047], [0.345055, 0.752687, 0.026798, -0.51596, 0.134874, -0.037663, 0.502314, -0.147943], [0.708201, 0.437796, -0.244044, -0.3334, 0.11732, 0.097729, 0.730602, -0.197621]], "network.2.bias": [0.027071, 0.442722, -0.472883, -0.271265, 0.224122, -0.11305, 0.504089, -0.141339], "network.4.weight": [[-0.060797, 0.109558, 0.449922, -0.151006, -0.060473, 0.333801, -0.097776, 0.003253], [-0.359597, 0.125927, 0.12543, -0.287467, -0.268424, -0.126419, 0.065036, -0.170073], [0.006975, -0.262777, 0.050735, 0.137408, -0.461734, 0.335848, 0.135808, -0.09456], [-0.422978, 0.653461, 0.149933, -0.191651, 0.47556, 0.09444, 0.338313, 0.76406], [-0.021804, -0.317173, 0.235884, -0.145596, 0.02998, 0.266768, -0.118408, -0.163078], [-0.178018, -0.10518, 0.150375, 0.026413, -0.463666, -0.151195, -0.523127, -0.225862], [-0.068634, 0.572496, -0.006609, 0.313148, -0.353189, 0.069758, -0.364254, 0.131897], [-0.509348, 0.67225, -0.142253, -0.280333, 0.653733, 0.356985, 0.429775, 0.435151]], "network.4.bias": [-0.457236, 0.086522, -0.413866, 0.322949, -0.049634, -0.346446, -0.3913, 0.001896], "network.6.weight": [[-0.103469, 0.332192, 0.057994, 0.440316, 0.261284, 0.028259, -0.469918, -0.458527], [0.06405, 0.377596, -0.087795, -0.38323, 0.159739, 0.141495, 0.105261, -0.098083], [0.25681, 0.40097, -0.164335, 0.849645, 0.024655, -0.601021, -0.391491, 0.526938], [0.201788, 0.01069, -0.031362, -0.169563, 0.037177, 0.142671, 0.215233, -0.021858], [0.218826, -0.312224, 0.175162, 0.266225, -0.120527, 0.308656, -0.270317, -0.314002], [0.133199, 0.218595, -0.278437, -0.009971, -0.205736, 0.236667, -0.36835, -0.366145], [-0.309348, -0.173963, 0.155046, 0.799903, -0.23992, -0.147557, 0.137142, 0.548959], [0.067134, 0.037726, -0.075098, 0.737361, -0.034217, -0.238707, 0.087282, 0.756957]], "network.6.bias": [-0.222762, -0.315681, -0.199023, -0.441886, -0.363145, -0.256329, -0.317352, -0.088329], "network.8.weight": [[-0.194981, -0.137546, -0.082404, -0.041432, 0.276283, 0.125048, 0.185203, -0.222425], [-0.124225, 0.20554, 0.460787, 0.071883, 0.039569, 0.000743, 0.725372, 0.602361], [-0.288524, -0.361204, -0.64131, 0.034212, 0.289858, -0.440871, -0.226884, -0.27869], [-0.139, 0.162534, 0.189327, 0.128888, 0.013507, -0.238118, -0.353347, -0.087354], [0.167972, -0.060948, -0.029504, 0.157645, -0.136356, -0.313068, 0.174532, -0.404482], [-0.445805, -0.272203, -0.382082, 0.350177, -0.220461, -0.107008, -0.502978, -0.374326], [-0.297153, 0.137284, -0.239545, 0.321695, -0.163941, 0.136408, 0.001069, -0.067377], [-0.077957, -0.052137, -0.433991, 0.149974, -0.055817, -0.170836, 0.21349, -0.058368]], "network.8.bias": [-0.20407, -0.311956, -0.134287, -0.193167, -0.374657, -0.198664, -0.06518, -0.213689], "network.10.weight": [[-0.221502, -0.554643, -0.167499, 0.31369, 0.09942, 0.002914, 0.104774, 0.098582]], "network.10.bias": [0.478062]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926181316375732, "train_acc": 0.545, "val_loss": 0.7013546824455261, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796298921108246, "train_acc": 0.575, "val_loss": 0.7198925018310547, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6706772148609161, "train_acc": 0.575, "val_loss": 0.7108489871025085, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.622061163187027, "train_acc": 0.575, "val_loss": 0.6063201427459717, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5689502656459808, "train_acc": 0.51, "val_loss": 0.5023857951164246, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5529481321573257, "train_acc": 0.51, "val_loss": 0.44025078415870667, "val_acc": 0.46}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4097524881362915, "train_acc": 0.655, "val_loss": 0.430451363325119, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.42151492834091187, "train_acc": 0.9, "val_loss": 0.3932439386844635, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3579356223344803, "train_acc": 0.925, "val_loss": 0.39004772901535034, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.33810505270957947, "train_acc": 0.905, "val_loss": 0.33680835366249084, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2938876152038574, "train_acc": 0.94, "val_loss": 0.318976491689682, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.29591691493988037, "train_acc": 0.925, "val_loss": 0.30277112126350403, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2861328125, "train_acc": 0.91, "val_loss": 0.2832587957382202, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2902025580406189, "train_acc": 0.91, "val_loss": 0.26289504766464233, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7013546824455261, "final_val_loss": 0.6063201427459717, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5023857951164246, "final_val_loss": 0.26289504766464233, "initial_val_acc": 0.46, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.4799999999999999, "first_improvement_epoch": 3}}
|
319
|
{"target_pattern": "decreasing_pairs", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4093, "learning_rate": 0.04998820596311462, "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: 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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]
],
"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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}
## Activation Signature
### 0
fourier: [[16.792784, 17.297099, 18.762266, 18.787508, 18.904800, 20.534401, 23.118368, 25.131598, 28.945137, 111.496637], [12.401731, 12.773918, 12.931008, 14.931461, 15.041336, 15.071499, 18.902799, 19.560421, 20.932042, 54.981228], [10.137685, 10.373651, 10.453679, 10.956007, 11.856789, 12.055510, 12.661754, 14.185982, 14.542728, 17.465802], [19.239474, 20.413194, 20.791474, 21.185324, 21.354814, 22.267259, 24.140641, 24.905903, 29.324068, 95.985064], [20.132871, 23.493513, 23.555305, 23.606750, 24.679074, 26.087678, 28.931075, 30.059113, 33.946691, 49.657870], [31.864120, 33.270877, 33.573362, 33.631779, 37.292394, 39.710407, 40.561612, 41.589885, 41.959083, 321.062632]]
### 2
fourier: [[9.538570, 10.192055, 10.354405, 11.134219, 11.332865, 11.382354, 11.787428, 12.553316, 12.569267, 93.028530], [10.166929, 10.568947, 11.005196, 11.322575, 12.067302, 12.260113, 14.481150, 15.974234, 18.536363, 47.596231], [8.410060, 8.542526, 9.005979, 9.078958, 9.985291, 10.194590, 10.673897, 10.807829, 12.877925, 66.161757], [13.515675, 14.281745, 15.027555, 16.229899, 16.772174, 17.173348, 17.811903, 18.472394, 23.318926, 138.826989], [10.024406, 10.418953, 10.814832, 10.917406, 12.064064, 12.587046, 12.707638, 12.924236, 15.337999, 90.602869], [14.529660, 15.425196, 16.708018, 16.849074, 17.568750, 17.944692, 18.882992, 19.250344, 23.704451, 114.845031]]
### 4
fourier: [[12.611683, 13.829093, 13.924273, 14.675660, 15.723621, 15.785203, 16.085713, 16.157207, 17.657990, 86.543350], [12.120320, 13.310752, 13.635214, 14.057721, 14.830284, 14.897228, 15.436463, 16.652145, 16.703252, 124.295418], [6.698132, 6.737175, 6.834988, 7.292395, 7.306084, 8.025848, 9.180445, 10.191178, 10.209369, 10.692880], [31.936986, 33.067497, 33.474722, 35.484118, 37.398737, 37.659670, 39.221191, 39.973668, 45.758122, 276.869390], [14.510714, 14.546024, 14.574880, 15.481981, 16.816319, 17.160478, 20.638607, 20.820241, 25.101086, 82.847486], [25.047076, 27.983389, 28.055799, 28.834176, 30.927828, 30.940121, 32.127798, 32.264214, 33.607981, 189.613279]]
### 6
fourier: [[3.464647, 3.708444, 3.799508, 3.813068, 4.248817, 4.304849, 4.447939, 4.568278, 5.295418, 55.309755], [46.955900, 47.107601, 47.162893, 48.121580, 53.311076, 53.535535, 54.614590, 58.385382, 66.157513, 356.774955], [39.473714, 39.895736, 40.264274, 40.342620, 44.633934, 44.784085, 45.727119, 49.135002, 56.635444, 295.058515], [44.865219, 45.777319, 46.890248, 47.494335, 52.555827, 53.423620, 54.740296, 56.441999, 62.734290, 307.600132], [13.068388, 14.052869, 14.292389, 14.591847, 14.946258, 15.187019, 15.252525, 17.575010, 20.669057, 98.085615], [24.298585, 26.189569, 26.733155, 28.382660, 29.508528, 30.380410, 30.626891, 32.167107, 34.013031, 161.743014]]
### 8
fourier: [[59.900074, 61.072479, 62.678660, 63.572629, 69.584908, 72.149655, 73.498565, 76.144610, 83.413674, 398.912969]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
[
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-0.299575,
0.302192
],
[
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],
[
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],
[
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]
],
"network.0.bias": [
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],
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}
## Activation Signature
### 0
fourier: [[16.792784, 17.297099, 18.762266, 18.787508, 18.904800, 20.534401, 23.118368, 25.131598, 28.945137, 111.496637], [12.401731, 12.773918, 12.931008, 14.931461, 15.041336, 15.071499, 18.902799, 19.560421, 20.932042, 54.981228], [10.137685, 10.373651, 10.453679, 10.956007, 11.856789, 12.055510, 12.661754, 14.185982, 14.542728, 17.465802], [19.239474, 20.413194, 20.791474, 21.185324, 21.354814, 22.267259, 24.140641, 24.905903, 29.324068, 95.985064], [20.132871, 23.493513, 23.555305, 23.606750, 24.679074, 26.087678, 28.931075, 30.059113, 33.946691, 49.657870], [31.864120, 33.270877, 33.573362, 33.631779, 37.292394, 39.710407, 40.561612, 41.589885, 41.959083, 321.062632]]
### 2
fourier: [[9.538570, 10.192055, 10.354405, 11.134219, 11.332865, 11.382354, 11.787428, 12.553316, 12.569267, 93.028530], [10.166929, 10.568947, 11.005196, 11.322575, 12.067302, 12.260113, 14.481150, 15.974234, 18.536363, 47.596231], [8.410060, 8.542526, 9.005979, 9.078958, 9.985291, 10.194590, 10.673897, 10.807829, 12.877925, 66.161757], [13.515675, 14.281745, 15.027555, 16.229899, 16.772174, 17.173348, 17.811903, 18.472394, 23.318926, 138.826989], [10.024406, 10.418953, 10.814832, 10.917406, 12.064064, 12.587046, 12.707638, 12.924236, 15.337999, 90.602869], [14.529660, 15.425196, 16.708018, 16.849074, 17.568750, 17.944692, 18.882992, 19.250344, 23.704451, 114.845031]]
### 4
fourier: [[12.611683, 13.829093, 13.924273, 14.675660, 15.723621, 15.785203, 16.085713, 16.157207, 17.657990, 86.543350], [12.120320, 13.310752, 13.635214, 14.057721, 14.830284, 14.897228, 15.436463, 16.652145, 16.703252, 124.295418], [6.698132, 6.737175, 6.834988, 7.292395, 7.306084, 8.025848, 9.180445, 10.191178, 10.209369, 10.692880], [31.936986, 33.067497, 33.474722, 35.484118, 37.398737, 37.659670, 39.221191, 39.973668, 45.758122, 276.869390], [14.510714, 14.546024, 14.574880, 15.481981, 16.816319, 17.160478, 20.638607, 20.820241, 25.101086, 82.847486], [25.047076, 27.983389, 28.055799, 28.834176, 30.927828, 30.940121, 32.127798, 32.264214, 33.607981, 189.613279]]
### 6
fourier: [[3.464647, 3.708444, 3.799508, 3.813068, 4.248817, 4.304849, 4.447939, 4.568278, 5.295418, 55.309755], [46.955900, 47.107601, 47.162893, 48.121580, 53.311076, 53.535535, 54.614590, 58.385382, 66.157513, 356.774955], [39.473714, 39.895736, 40.264274, 40.342620, 44.633934, 44.784085, 45.727119, 49.135002, 56.635444, 295.058515], [44.865219, 45.777319, 46.890248, 47.494335, 52.555827, 53.423620, 54.740296, 56.441999, 62.734290, 307.600132], [13.068388, 14.052869, 14.292389, 14.591847, 14.946258, 15.187019, 15.252525, 17.575010, 20.669057, 98.085615], [24.298585, 26.189569, 26.733155, 28.382660, 29.508528, 30.380410, 30.626891, 32.167107, 34.013031, 161.743014]]
### 8
fourier: [[59.900074, 61.072479, 62.678660, 63.572629, 69.584908, 72.149655, 73.498565, 76.144610, 83.413674, 398.912969]]
## 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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"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": [[-0.546281, -0.014846, -0.044821, -0.060389, -0.220013], [-0.493656, 0.390732, 0.018247, -0.249466, 0.236809], [-0.222731, 0.269156, 0.010903, -0.299575, 0.302192], [-0.389734, -0.184969, -0.149967, 0.50501, 0.311448], [0.210555, -0.479499, 0.207453, -0.415809, 0.419688], [-0.073099, -0.022087, -0.342887, -0.808459, -0.642736]], "network.0.bias": [-0.037506, 0.718013, 0.227723, 0.734735, 0.000692, -0.193492], "network.2.weight": [[-0.372463, 0.658617, -0.04195, 0.32936, 0.524616, 0.059629], [0.33391, -0.559574, -0.528717, -0.322237, -0.048468, 0.00998], [-0.582487, 0.076884, -0.187669, 0.45742, 0.573571, -0.016232], [-0.857612, 0.330376, 0.194958, 0.804169, 0.465879, 0.328582], [-0.307581, 0.043487, -0.255227, 0.527051, 0.734039, 0.048484], [-0.653062, 0.811976, 0.290656, 0.611588, 0.567242, 0.152116]], "network.2.bias": [0.038488, 0.427889, -0.016752, 0.11048, 0.197505, -0.289661], "network.4.weight": [[0.561621, -0.110835, 0.495622, 0.235473, -0.022186, 0.067779], [-0.217875, -0.264653, 0.192417, -0.30009, -0.553473, -0.210982], [0.004259, 0.393269, 0.003596, -0.065889, 0.381334, -0.493437], [0.312356, -0.500058, 0.528476, 0.779989, 0.382457, 0.701307], [0.013443, -0.69056, -0.036268, 0.349544, -0.498597, 0.850311], [0.333341, -0.492283, 0.364917, 0.054418, 0.808351, 0.814719]], "network.4.bias": [-0.289936, -0.109449, 0.47446, 0.08541, -0.19081, -0.260404], "network.6.weight": [[-0.077162, 0.34031, -0.146993, -0.085949, 0.17629, -0.084292], [0.072705, 0.409212, -0.512029, 0.780711, 0.515524, 0.465243], [0.366014, 0.168509, -0.391233, 0.765096, 0.477412, 0.08866], [0.533145, -0.33866, -0.537709, 0.573595, 0.295362, 0.584761], [0.192681, 0.390382, 0.13297, -0.288094, -0.28165, -0.112875], [0.413587, 0.214427, 0.139014, 0.69477, -0.100608, -0.044012]], "network.6.bias": [-0.207268, 0.191659, 0.068836, -0.26274, 0.125949, -0.517691], "network.8.weight": [[-0.131723, -0.370048, -0.157235, -0.573815, 0.144198, -0.481608]], "network.8.bias": [0.388014]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.691844254732132, "train_acc": 0.53, "val_loss": 0.6515611410140991, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6581178903579712, "train_acc": 0.54, "val_loss": 0.5384635925292969, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5827266871929169, "train_acc": 0.47, "val_loss": 0.40526339411735535, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.43299081921577454, "train_acc": 0.84, "val_loss": 0.317680686712265, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32836881279945374, "train_acc": 0.95, "val_loss": 0.22343793511390686, "val_acc": 0.96}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.29412609338760376, "train_acc": 0.94, "val_loss": 0.19212302565574646, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24983930587768555, "train_acc": 0.955, "val_loss": 0.18768814206123352, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.22474507242441177, "train_acc": 0.945, "val_loss": 0.17767463624477386, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21335530281066895, "train_acc": 0.945, "val_loss": 0.14722628891468048, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.20184071362018585, "train_acc": 0.95, "val_loss": 0.13389381766319275, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.16827041655778885, "train_acc": 0.95, "val_loss": 0.1336672306060791, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.15660570561885834, "train_acc": 0.955, "val_loss": 0.1428472399711609, "val_acc": 0.96}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6515611410140991, "final_val_loss": 0.5384635925292969, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.40526339411735535, "final_val_loss": 0.1428472399711609, "initial_val_acc": 0.8, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 4}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
320
|
{"target_pattern": "has_majority", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2017, "learning_rate": 0.026973210347381947, "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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.013267,
-0.16368,
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## Activation Signature
### 0
fourier: [[13.625141, 14.737651, 15.092456, 16.969235, 17.334796, 17.438926, 19.244761, 19.604360, 21.411946, 23.387026], [18.274647, 19.788895, 20.023909, 20.303317, 20.500107, 20.715056, 25.062713, 25.134688, 25.457461, 69.348954], [16.326396, 17.631232, 18.274687, 18.579466, 19.017196, 19.498361, 20.042672, 22.489127, 24.681943, 79.055018], [18.251219, 18.801522, 19.821790, 20.943854, 22.632227, 26.432985, 28.229578, 31.064334, 34.393523, 189.445620], [18.483378, 19.125370, 19.424183, 20.333767, 21.492600, 22.308040, 22.665685, 24.388496, 25.639640, 47.459324], [23.528690, 24.276506, 24.278902, 26.963258, 27.660244, 28.266395, 29.697067, 30.169005, 36.202668, 256.887309], [21.265822, 21.429224, 21.754240, 22.835365, 22.876480, 22.897703, 23.877776, 27.648371, 36.812993, 171.699208], [20.414703, 20.763458, 22.000366, 23.877411, 24.748103, 25.000041, 26.297139, 26.733995, 29.048036, 66.856395]]
### 2
fourier: [[11.629154, 13.132743, 14.199912, 14.633243, 14.654139, 15.603955, 16.858794, 17.256809, 17.487024, 63.937297], [10.871156, 11.332095, 11.407798, 11.606430, 13.425668, 14.801853, 15.100288, 15.137355, 16.354048, 73.179872], [28.738269, 29.348257, 30.014913, 31.249332, 31.373476, 33.440010, 37.316085, 42.495674, 44.407190, 317.796502], [7.152228, 7.707186, 7.857207, 7.968789, 8.605324, 8.883114, 9.449590, 9.888763, 10.968637, 19.102508], [28.779471, 28.871721, 28.991276, 29.163668, 29.668630, 29.707747, 34.259364, 39.420966, 42.445465, 240.095231], [11.250154, 11.500280, 12.101290, 12.761031, 13.423578, 15.579630, 15.618912, 15.648014, 16.013847, 65.107809], [30.316604, 30.579765, 31.097985, 33.142677, 34.198822, 34.833689, 36.017831, 45.610607, 47.164471, 307.712582], [10.234119, 10.453732, 10.641961, 11.199133, 11.544009, 11.725018, 14.836268, 18.792923, 19.079960, 30.304604]]
### 4
fourier: [[10.692075, 11.031149, 11.989363, 13.841819, 15.032921, 15.079242, 15.434343, 16.013853, 17.077976, 66.488096], [8.800168, 8.874891, 9.003655, 9.094312, 9.379254, 10.670697, 10.889931, 11.909514, 12.390877, 40.248057], [12.805496, 13.674859, 14.089402, 16.355775, 17.103635, 18.784628, 18.931922, 19.441012, 19.782977, 76.131362], [12.604197, 12.782145, 13.156231, 14.932493, 15.979137, 16.525985, 16.814196, 16.970991, 18.903956, 55.040462], [14.589911, 15.127913, 15.836352, 18.339503, 18.870196, 19.873385, 21.030909, 21.117104, 21.327164, 110.837340], [5.363501, 5.528463, 5.706791, 5.853974, 6.352307, 6.748552, 6.770241, 7.146688, 7.360072, 41.722123], [4.804283, 4.844445, 4.849487, 4.927650, 4.935901, 6.180228, 6.191855, 6.403913, 6.561951, 33.096088], [7.409896, 7.732488, 9.015182, 9.406979, 9.536042, 10.494119, 10.786828, 11.498258, 12.123840, 30.875438]]
### 6
fourier: [[5.418172, 5.419768, 5.540655, 5.719368, 5.730558, 6.786629, 7.077116, 7.153813, 8.187237, 14.917729], [16.653521, 17.184030, 17.751044, 20.317837, 22.858604, 24.210510, 24.325721, 24.380759, 25.240912, 87.349217], [25.216200, 25.811579, 27.231933, 31.335072, 35.111256, 37.003387, 37.666757, 37.900468, 39.128736, 135.051224], [14.005384, 14.303940, 15.269480, 17.184886, 19.147616, 20.496511, 20.651636, 20.764041, 21.838510, 61.894319], [19.301248, 19.302519, 21.149825, 23.666330, 26.064955, 28.595276, 28.659200, 28.759599, 29.476245, 74.941431], [21.529303, 21.626812, 23.544792, 26.167726, 28.962678, 31.962276, 32.059524, 32.114840, 32.927398, 107.212548], [12.383479, 12.850926, 13.586695, 14.792093, 16.200772, 17.888914, 17.936940, 18.042345, 18.890579, 70.871371], [14.741146, 15.650874, 17.695212, 17.719995, 17.989827, 18.075634, 22.108424, 22.161539, 22.779117, 23.112492]]
### 8
fourier: [[19.529361, 20.645879, 21.655771, 23.608971, 26.981729, 29.415856, 29.496528, 29.632925, 30.585711, 64.561017], [19.467291, 19.892151, 21.878751, 22.291080, 22.666540, 23.400114, 28.316704, 28.705665, 29.483281, 29.693030], [20.522041, 21.151058, 22.589436, 24.701931, 28.541744, 30.704407, 30.795609, 31.068442, 32.114107, 59.868913], [15.371729, 15.670966, 17.039727, 17.970396, 20.569476, 22.561032, 22.810390, 23.136050, 23.581846, 50.925167], [37.858649, 39.124986, 41.974985, 45.350740, 51.399242, 56.699229, 56.722232, 57.471944, 59.105505, 181.911581], [21.355945, 21.511410, 23.343823, 24.944790, 28.030623, 31.241321, 31.296921, 31.941969, 32.526418, 50.224081], [31.579953, 33.333552, 34.930700, 38.415651, 43.561052, 47.557586, 47.861858, 47.911818, 49.615608, 153.081666], [19.754272, 20.555083, 21.999373, 23.736801, 27.132091, 29.670641, 29.710574, 30.150352, 30.844355, 60.748053]]
### 10
fourier: [[36.604330, 37.996644, 40.069554, 40.514198, 41.859837, 49.202132, 52.203966, 52.294475, 52.736566, 84.595277]]
## 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: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.175288,
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-0.046557,
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0.156626,
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0.137409
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0.187707,
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-0.143658,
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0.10576,
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-0.105874,
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0.257126,
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-0.010305,
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"network.10.weight": [
[
0.222894,
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],
"network.10.bias": [
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}
## Activation Signature
### 0
fourier: [[13.625141, 14.737651, 15.092456, 16.969235, 17.334796, 17.438926, 19.244761, 19.604360, 21.411946, 23.387026], [18.274647, 19.788895, 20.023909, 20.303317, 20.500107, 20.715056, 25.062713, 25.134688, 25.457461, 69.348954], [16.326396, 17.631232, 18.274687, 18.579466, 19.017196, 19.498361, 20.042672, 22.489127, 24.681943, 79.055018], [18.251219, 18.801522, 19.821790, 20.943854, 22.632227, 26.432985, 28.229578, 31.064334, 34.393523, 189.445620], [18.483378, 19.125370, 19.424183, 20.333767, 21.492600, 22.308040, 22.665685, 24.388496, 25.639640, 47.459324], [23.528690, 24.276506, 24.278902, 26.963258, 27.660244, 28.266395, 29.697067, 30.169005, 36.202668, 256.887309], [21.265822, 21.429224, 21.754240, 22.835365, 22.876480, 22.897703, 23.877776, 27.648371, 36.812993, 171.699208], [20.414703, 20.763458, 22.000366, 23.877411, 24.748103, 25.000041, 26.297139, 26.733995, 29.048036, 66.856395]]
### 2
fourier: [[11.629154, 13.132743, 14.199912, 14.633243, 14.654139, 15.603955, 16.858794, 17.256809, 17.487024, 63.937297], [10.871156, 11.332095, 11.407798, 11.606430, 13.425668, 14.801853, 15.100288, 15.137355, 16.354048, 73.179872], [28.738269, 29.348257, 30.014913, 31.249332, 31.373476, 33.440010, 37.316085, 42.495674, 44.407190, 317.796502], [7.152228, 7.707186, 7.857207, 7.968789, 8.605324, 8.883114, 9.449590, 9.888763, 10.968637, 19.102508], [28.779471, 28.871721, 28.991276, 29.163668, 29.668630, 29.707747, 34.259364, 39.420966, 42.445465, 240.095231], [11.250154, 11.500280, 12.101290, 12.761031, 13.423578, 15.579630, 15.618912, 15.648014, 16.013847, 65.107809], [30.316604, 30.579765, 31.097985, 33.142677, 34.198822, 34.833689, 36.017831, 45.610607, 47.164471, 307.712582], [10.234119, 10.453732, 10.641961, 11.199133, 11.544009, 11.725018, 14.836268, 18.792923, 19.079960, 30.304604]]
### 4
fourier: [[10.692075, 11.031149, 11.989363, 13.841819, 15.032921, 15.079242, 15.434343, 16.013853, 17.077976, 66.488096], [8.800168, 8.874891, 9.003655, 9.094312, 9.379254, 10.670697, 10.889931, 11.909514, 12.390877, 40.248057], [12.805496, 13.674859, 14.089402, 16.355775, 17.103635, 18.784628, 18.931922, 19.441012, 19.782977, 76.131362], [12.604197, 12.782145, 13.156231, 14.932493, 15.979137, 16.525985, 16.814196, 16.970991, 18.903956, 55.040462], [14.589911, 15.127913, 15.836352, 18.339503, 18.870196, 19.873385, 21.030909, 21.117104, 21.327164, 110.837340], [5.363501, 5.528463, 5.706791, 5.853974, 6.352307, 6.748552, 6.770241, 7.146688, 7.360072, 41.722123], [4.804283, 4.844445, 4.849487, 4.927650, 4.935901, 6.180228, 6.191855, 6.403913, 6.561951, 33.096088], [7.409896, 7.732488, 9.015182, 9.406979, 9.536042, 10.494119, 10.786828, 11.498258, 12.123840, 30.875438]]
### 6
fourier: [[5.418172, 5.419768, 5.540655, 5.719368, 5.730558, 6.786629, 7.077116, 7.153813, 8.187237, 14.917729], [16.653521, 17.184030, 17.751044, 20.317837, 22.858604, 24.210510, 24.325721, 24.380759, 25.240912, 87.349217], [25.216200, 25.811579, 27.231933, 31.335072, 35.111256, 37.003387, 37.666757, 37.900468, 39.128736, 135.051224], [14.005384, 14.303940, 15.269480, 17.184886, 19.147616, 20.496511, 20.651636, 20.764041, 21.838510, 61.894319], [19.301248, 19.302519, 21.149825, 23.666330, 26.064955, 28.595276, 28.659200, 28.759599, 29.476245, 74.941431], [21.529303, 21.626812, 23.544792, 26.167726, 28.962678, 31.962276, 32.059524, 32.114840, 32.927398, 107.212548], [12.383479, 12.850926, 13.586695, 14.792093, 16.200772, 17.888914, 17.936940, 18.042345, 18.890579, 70.871371], [14.741146, 15.650874, 17.695212, 17.719995, 17.989827, 18.075634, 22.108424, 22.161539, 22.779117, 23.112492]]
### 8
fourier: [[19.529361, 20.645879, 21.655771, 23.608971, 26.981729, 29.415856, 29.496528, 29.632925, 30.585711, 64.561017], [19.467291, 19.892151, 21.878751, 22.291080, 22.666540, 23.400114, 28.316704, 28.705665, 29.483281, 29.693030], [20.522041, 21.151058, 22.589436, 24.701931, 28.541744, 30.704407, 30.795609, 31.068442, 32.114107, 59.868913], [15.371729, 15.670966, 17.039727, 17.970396, 20.569476, 22.561032, 22.810390, 23.136050, 23.581846, 50.925167], [37.858649, 39.124986, 41.974985, 45.350740, 51.399242, 56.699229, 56.722232, 57.471944, 59.105505, 181.911581], [21.355945, 21.511410, 23.343823, 24.944790, 28.030623, 31.241321, 31.296921, 31.941969, 32.526418, 50.224081], [31.579953, 33.333552, 34.930700, 38.415651, 43.561052, 47.557586, 47.861858, 47.911818, 49.615608, 153.081666], [19.754272, 20.555083, 21.999373, 23.736801, 27.132091, 29.670641, 29.710574, 30.150352, 30.844355, 60.748053]]
### 10
fourier: [[36.604330, 37.996644, 40.069554, 40.514198, 41.859837, 49.202132, 52.203966, 52.294475, 52.736566, 84.595277]]
## 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": 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": [[-0.013267, -0.16368, -0.397892, 0.336343, 0.145116], [0.389428, 0.335787, -0.119274, -0.242899, 0.433283], [-0.091471, 0.330757, -0.214222, -0.669544, 0.180016], [0.398284, 0.472231, -0.108001, 0.353332, -0.026978], [0.247728, -0.697824, 0.103576, 0.246347, -0.547628], [0.104293, 0.542925, 0.292958, 0.208321, 0.420369], [0.087424, 0.479541, 0.529578, -0.093953, 0.18486], [-0.020162, 0.213215, 0.274518, -0.780657, 0.14145]], "network.0.bias": [0.505535, -0.090307, 0.293994, 0.249973, 0.366753, 0.158041, -0.207602, -0.180101], "network.2.weight": [[-0.633065, 0.040144, -0.355522, 0.201449, -0.495013, 0.121903, 0.126816, -0.436538], [-0.502003, -0.152289, -0.464928, 0.156411, -0.320949, 0.080326, 0.253634, -0.122259], [0.47679, -0.019966, 0.321213, -0.35228, -0.290121, -0.454967, -0.532473, -0.528949], [0.213958, 0.287624, 0.500706, 0.273762, 0.30732, -0.056156, -0.256255, 0.003099], [0.187601, -0.689141, 0.104164, -0.12195, -0.659414, -0.250434, -0.532764, -0.286996], [-0.12621, 0.007679, -0.24595, 0.066121, -0.445189, 0.184033, 0.264669, -0.72612], [0.169627, -0.560379, 0.314211, -0.101676, -0.189085, -0.500594, -0.490382, -0.331758], [0.069942, 0.196783, 0.594985, -0.365158, 0.186972, -0.096455, 0.4836, 0.386892]], "network.2.bias": [0.204738, 0.282324, -0.573987, -0.153441, -0.006778, -0.096827, -0.372859, 0.079292], "network.4.weight": [[0.313294, 0.306126, 0.336856, 0.045007, 0.077872, 0.450233, 0.258247, -0.116952], [-0.241628, 0.129525, 0.023135, 0.581532, 0.04987, -0.429563, 0.240201, 0.594277], [0.618729, 0.02774, 0.206438, -0.323148, 0.274349, 0.584552, 0.164787, -0.130266], [0.412368, 0.590288, 0.209521, 0.148759, -0.19635, 0.194961, 0.160374, -0.266263], [0.614224, 0.328363, 0.235922, -0.189881, -0.125803, 0.469652, -0.064806, 0.074851], [-0.090134, 0.271185, -0.106952, 0.01529, -0.141605, 0.339922, -0.699192, 0.182623], [0.046349, -0.003683, -0.019693, -0.13574, 0.069105, -0.373399, 0.029166, 0.261198], [0.296102, -0.174725, 0.333914, -0.361414, 0.237621, 0.555125, 0.242, -0.034651]], "network.4.bias": [0.045589, 0.438945, 0.156449, -0.178571, 0.254006, -0.026399, -0.211361, 0.028324], "network.6.weight": [[-0.134113, 0.248715, 0.051704, 0.093154, 0.012667, -0.138414, 0.407826, -0.537231], [0.30678, -0.148221, 0.66162, 0.005785, 0.226661, 0.402843, -0.416854, -0.13739], [0.368282, -0.254976, 0.498457, 0.386503, 0.453868, 0.027796, 0.042553, 0.492559], [-0.261778, 0.223618, -0.253187, -0.529427, 0.183656, -0.124013, -0.009014, -0.504387], [-0.113655, -0.371059, 0.392897, 0.380243, 0.441689, 0.276601, -0.165596, 0.362041], [0.235599, -0.30829, 0.565471, 0.205717, 0.367726, -0.114709, -0.148258, 0.526343], [-0.32003, 0.17155, -0.46144, -0.252543, 0.008275, 0.22737, -0.111644, -0.066675], [-0.048517, 0.6822, -0.167486, -0.41242, -0.222405, 0.268024, -0.023813, -0.457864]], "network.6.bias": [0.299214, -0.099728, 0.045795, -0.092549, -0.211605, 0.025651, -0.206407, 0.329666], "network.8.weight": [[0.330061, -0.409195, -0.44855, 0.067174, 0.001979, -0.033077, -0.234758, 0.135005], [0.335037, -0.523652, -0.055844, 0.244824, -0.183615, -0.139986, 0.175288, 0.65389], [-0.046557, 0.037159, -0.040223, 0.156626, -0.512934, -0.496646, 0.059959, 0.137409], [0.187707, -0.23954, -0.063051, -0.101507, -0.515118, 0.047711, -0.494064, 0.331074], [-0.143658, 0.088396, 0.314748, 0.106907, 0.625855, 0.731616, -0.231076, -0.497008], [0.10576, -0.065439, -0.046141, 0.117576, -0.642834, -0.270315, 0.158607, 0.342539], [-0.105874, 0.688783, 0.619807, -0.309513, 0.120633, 0.078994, 0.039533, -0.291741], [0.35045, 0.025855, -0.268637, 0.176626, -0.423559, -0.223382, -0.002451, 0.118116]], "network.8.bias": [0.257126, 0.509542, 0.380099, -0.010305, 0.209068, 0.355497, 0.045601, 0.252901], "network.10.weight": [[0.222894, 0.554473, 0.544638, 0.369333, -0.372685, 0.456914, -0.442833, 0.432731]], "network.10.bias": [0.03857]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6887824833393097, "train_acc": 0.585, "val_loss": 0.7175276875495911, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820639967918396, "train_acc": 0.585, "val_loss": 0.7291802763938904, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6778756976127625, "train_acc": 0.585, "val_loss": 0.7184677124023438, "val_acc": 0.42}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6550847589969635, "train_acc": 0.585, "val_loss": 0.6748518347740173, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6786066293716431, "train_acc": 0.52, "val_loss": 0.6309010982513428, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6047690510749817, "train_acc": 0.675, "val_loss": 0.5870270729064941, "val_acc": 0.6}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5457160770893097, "train_acc": 0.735, "val_loss": 0.5161332488059998, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.47779563069343567, "train_acc": 0.78, "val_loss": 0.4745083749294281, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.41324201226234436, "train_acc": 0.835, "val_loss": 0.45417454838752747, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.35302019119262695, "train_acc": 0.875, "val_loss": 0.5137566924095154, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3570774048566818, "train_acc": 0.82, "val_loss": 0.3738539516925812, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.30640363693237305, "train_acc": 0.875, "val_loss": 0.36703169345855713, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.27381403744220734, "train_acc": 0.9, "val_loss": 0.4817184805870056, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.28854337334632874, "train_acc": 0.88, "val_loss": 0.4436763525009155, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.7175276875495911, "final_val_loss": 0.6748518347740173, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.6309010982513428, "final_val_loss": 0.4436763525009155, "initial_val_acc": 0.64, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.46, "first_improvement_epoch": 3}}
|
321
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7680, "learning_rate": 0.05180566314758188, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[23.208651, 25.776634, 25.810311, 26.472967, 28.670692, 32.057918, 32.134382, 32.174723, 34.677497, 148.053256], [19.356527, 19.427611, 21.237582, 23.355193, 23.486137, 24.481455, 24.653011, 25.320949, 30.850092, 34.249704], [16.129512, 16.226607, 16.234174, 17.828344, 19.555077, 19.917141, 20.200437, 21.788309, 22.364430, 24.524581], [22.728682, 23.196224, 24.904238, 25.113225, 27.406175, 27.941812, 29.602260, 32.773710, 39.741283, 84.730858], [19.115759, 19.327332, 19.965189, 20.365504, 21.492192, 22.185102, 24.373653, 25.695113, 29.413227, 31.244292], [21.950169, 24.328295, 24.515911, 24.949465, 25.455557, 28.363615, 29.490403, 29.706422, 31.520621, 144.786418], [22.187669, 22.205276, 23.412411, 23.493138, 24.531550, 24.741608, 26.313357, 26.346848, 28.238942, 125.885587]]
### 2
fourier: [[27.074104, 27.373711, 29.668807, 30.272953, 30.826344, 32.011491, 32.736493, 33.905787, 36.577938, 53.295603], [32.441159, 37.962942, 38.644803, 38.662100, 39.077802, 39.979413, 42.171992, 48.874284, 49.970522, 73.313505], [33.572420, 37.273420, 38.442500, 39.721559, 40.101547, 49.254300, 50.961247, 57.648720, 61.546873, 353.309269], [11.220648, 12.119798, 12.359549, 13.364061, 14.123777, 16.016122, 18.301829, 20.759472, 23.802035, 128.785134], [8.448929, 8.497679, 8.554212, 8.597994, 8.818960, 11.207334, 11.357326, 11.948304, 12.124490, 115.452422], [31.727079, 32.926663, 33.944715, 35.973276, 38.903831, 42.738739, 45.329913, 46.301433, 52.237206, 283.462625], [15.038510, 15.769206, 16.607011, 17.068675, 18.438602, 18.749387, 21.770051, 24.279238, 26.778457, 113.637884]]
### 4
fourier: [[12.228788, 12.334820, 12.930764, 14.295619, 14.638684, 15.497127, 18.046561, 18.858488, 21.734979, 80.674294], [28.385540, 29.065890, 31.369482, 31.436860, 32.308959, 39.497692, 40.068944, 40.390763, 50.538514, 331.441974], [12.188661, 12.454436, 13.508713, 13.515392, 13.526138, 17.192382, 19.671166, 20.207587, 23.983311, 140.085525], [18.760568, 19.016082, 20.134172, 20.582734, 21.472466, 25.061512, 25.128219, 25.290577, 32.023399, 217.657496], [16.409010, 16.428332, 17.285124, 19.476208, 20.870295, 21.220001, 22.816977, 23.949899, 29.081892, 211.431767], [28.997354, 30.930999, 32.280334, 32.902238, 34.425251, 37.731555, 42.459771, 45.356403, 45.695459, 172.186652], [39.347894, 40.382896, 41.244948, 43.068292, 45.793283, 50.485714, 55.435952, 58.841370, 62.503856, 311.717868]]
### 6
fourier: [[12.465479, 12.894934, 12.966200, 13.850708, 14.665744, 15.635072, 17.570993, 18.496345, 20.123155, 97.437596], [24.817642, 26.224256, 28.925310, 29.958493, 30.725886, 34.134020, 41.226315, 44.470029, 50.101920, 293.348801], [26.284543, 26.422104, 28.278444, 31.446955, 32.574617, 32.591332, 38.784626, 40.002668, 48.893992, 224.439803], [12.240171, 13.546221, 14.481713, 14.683413, 15.376510, 15.396938, 19.444892, 19.850209, 24.414335, 86.463548], [12.571447, 13.547276, 14.876537, 15.492397, 15.626086, 18.048217, 20.687827, 22.900688, 25.412094, 205.448606], [3.585313, 3.823334, 3.930837, 3.943905, 4.212496, 4.596612, 4.922806, 4.953226, 5.578614, 27.729422], [29.042762, 29.506943, 29.536209, 29.938805, 33.635744, 34.047085, 38.271943, 40.694524, 42.375004, 67.380623]]
### 8
fourier: [[14.869360, 16.456918, 17.203815, 17.274195, 18.667852, 19.032954, 21.281085, 21.437028, 35.946078, 107.252499]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
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## Activation Signature
### 0
fourier: [[23.208651, 25.776634, 25.810311, 26.472967, 28.670692, 32.057918, 32.134382, 32.174723, 34.677497, 148.053256], [19.356527, 19.427611, 21.237582, 23.355193, 23.486137, 24.481455, 24.653011, 25.320949, 30.850092, 34.249704], [16.129512, 16.226607, 16.234174, 17.828344, 19.555077, 19.917141, 20.200437, 21.788309, 22.364430, 24.524581], [22.728682, 23.196224, 24.904238, 25.113225, 27.406175, 27.941812, 29.602260, 32.773710, 39.741283, 84.730858], [19.115759, 19.327332, 19.965189, 20.365504, 21.492192, 22.185102, 24.373653, 25.695113, 29.413227, 31.244292], [21.950169, 24.328295, 24.515911, 24.949465, 25.455557, 28.363615, 29.490403, 29.706422, 31.520621, 144.786418], [22.187669, 22.205276, 23.412411, 23.493138, 24.531550, 24.741608, 26.313357, 26.346848, 28.238942, 125.885587]]
### 2
fourier: [[27.074104, 27.373711, 29.668807, 30.272953, 30.826344, 32.011491, 32.736493, 33.905787, 36.577938, 53.295603], [32.441159, 37.962942, 38.644803, 38.662100, 39.077802, 39.979413, 42.171992, 48.874284, 49.970522, 73.313505], [33.572420, 37.273420, 38.442500, 39.721559, 40.101547, 49.254300, 50.961247, 57.648720, 61.546873, 353.309269], [11.220648, 12.119798, 12.359549, 13.364061, 14.123777, 16.016122, 18.301829, 20.759472, 23.802035, 128.785134], [8.448929, 8.497679, 8.554212, 8.597994, 8.818960, 11.207334, 11.357326, 11.948304, 12.124490, 115.452422], [31.727079, 32.926663, 33.944715, 35.973276, 38.903831, 42.738739, 45.329913, 46.301433, 52.237206, 283.462625], [15.038510, 15.769206, 16.607011, 17.068675, 18.438602, 18.749387, 21.770051, 24.279238, 26.778457, 113.637884]]
### 4
fourier: [[12.228788, 12.334820, 12.930764, 14.295619, 14.638684, 15.497127, 18.046561, 18.858488, 21.734979, 80.674294], [28.385540, 29.065890, 31.369482, 31.436860, 32.308959, 39.497692, 40.068944, 40.390763, 50.538514, 331.441974], [12.188661, 12.454436, 13.508713, 13.515392, 13.526138, 17.192382, 19.671166, 20.207587, 23.983311, 140.085525], [18.760568, 19.016082, 20.134172, 20.582734, 21.472466, 25.061512, 25.128219, 25.290577, 32.023399, 217.657496], [16.409010, 16.428332, 17.285124, 19.476208, 20.870295, 21.220001, 22.816977, 23.949899, 29.081892, 211.431767], [28.997354, 30.930999, 32.280334, 32.902238, 34.425251, 37.731555, 42.459771, 45.356403, 45.695459, 172.186652], [39.347894, 40.382896, 41.244948, 43.068292, 45.793283, 50.485714, 55.435952, 58.841370, 62.503856, 311.717868]]
### 6
fourier: [[12.465479, 12.894934, 12.966200, 13.850708, 14.665744, 15.635072, 17.570993, 18.496345, 20.123155, 97.437596], [24.817642, 26.224256, 28.925310, 29.958493, 30.725886, 34.134020, 41.226315, 44.470029, 50.101920, 293.348801], [26.284543, 26.422104, 28.278444, 31.446955, 32.574617, 32.591332, 38.784626, 40.002668, 48.893992, 224.439803], [12.240171, 13.546221, 14.481713, 14.683413, 15.376510, 15.396938, 19.444892, 19.850209, 24.414335, 86.463548], [12.571447, 13.547276, 14.876537, 15.492397, 15.626086, 18.048217, 20.687827, 22.900688, 25.412094, 205.448606], [3.585313, 3.823334, 3.930837, 3.943905, 4.212496, 4.596612, 4.922806, 4.953226, 5.578614, 27.729422], [29.042762, 29.506943, 29.536209, 29.938805, 33.635744, 34.047085, 38.271943, 40.694524, 42.375004, 67.380623]]
### 8
fourier: [[14.869360, 16.456918, 17.203815, 17.274195, 18.667852, 19.032954, 21.281085, 21.437028, 35.946078, 107.252499]]
## 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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"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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.736769, 0.048568, 0.289013, 0.174724, -0.113542], [-0.44826, -0.394459, -0.095753, 0.387631, 0.372066], [-0.223042, -0.245794, -0.212051, 0.180151, 0.571983], [0.804242, -0.301314, 0.189508, -0.099642, -0.049453], [-0.572051, -0.029225, -0.233582, 0.129419, 0.372899], [0.161342, -0.058975, -0.187687, 0.539396, 0.637844], [0.680438, 0.146866, -0.018206, 0.116423, 0.02115]], "network.0.bias": [-0.198701, -0.194042, 0.071593, 0.368489, 0.188813, -0.0359, 0.046622], "network.2.weight": [[-0.513406, 0.267931, 0.544588, -0.036588, 0.266988, 0.52799, -0.450305], [-0.486644, 0.630382, 0.614769, -0.600748, 0.43623, 0.504674, -0.161389], [0.645883, 0.388775, 0.071958, 0.34708, 0.196349, 0.410558, 0.697398], [-0.34169, 0.122915, -0.430393, -0.404718, -0.073023, -0.122599, 0.195643], [0.037962, 0.109409, 0.174607, 0.033243, -0.280165, -0.366476, -0.216733], [0.410151, -0.153465, -0.076375, 0.570183, -0.140945, 0.44258, 0.439351], [0.178208, -0.33049, 0.014813, 0.335721, -0.111478, 0.069878, 0.175111]], "network.2.bias": [0.24637, 0.15035, 0.515184, -0.293083, -0.48762, 0.62225, 0.402005], "network.4.weight": [[-0.25976, 0.074488, -0.029548, -0.197482, 0.190345, 0.381931, 0.01898], [0.509744, 0.461506, 0.213151, -0.038134, -0.182665, 0.521716, -0.153278], [-0.153211, -0.267322, -0.090031, -0.090054, -0.323098, -0.125058, -0.319653], [-0.198506, -0.353787, -0.212031, -0.18818, -0.307258, -0.290452, 0.236475], [-0.666506, -0.234542, 0.06165, 0.021846, -0.226335, -0.207885, -0.476304], [0.669387, 0.574702, 0.304961, 0.079592, 0.170116, 0.053344, -0.259112], [-0.204421, -0.233831, 0.383195, -0.157348, 0.460776, 0.539444, 0.339436]], "network.4.bias": [-0.077005, 0.49662, 0.003631, -0.441113, -0.532533, -0.272858, 0.239145], "network.6.weight": [[0.261469, 0.140016, -0.247422, 0.036318, 0.366669, -0.109318, -0.455149], [-0.361945, -0.401734, 0.232382, 0.088046, 0.156877, -0.305437, -0.299752], [0.298116, 0.044296, -0.168062, 0.278353, 0.393932, -0.152527, 0.583507], [-0.191233, -0.179853, -0.254416, -0.354468, 0.278973, -0.284275, 0.205737], [0.077134, -0.51006, -0.331327, 0.139037, 0.15582, 0.182889, -0.157849], [0.129462, 0.233269, -0.036076, 0.141283, 0.17303, -0.320137, -0.141929], [-0.010565, 0.162695, 0.375537, -0.239563, 0.090301, 0.634298, -0.576886]], "network.6.bias": [-0.051548, 0.173651, 0.329173, -0.292038, -0.27822, -0.181111, -0.230813], "network.8.weight": [[0.026481, 0.181033, -0.373307, -0.160963, 0.004274, 0.213644, 0.447548]], "network.8.bias": [-0.580553]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6776150166988373, "train_acc": 0.585, "val_loss": 0.7362362742424011, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750729084014893, "train_acc": 0.585, "val_loss": 0.6636921763420105, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6312209665775299, "train_acc": 0.75, "val_loss": 0.5085768103599548, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5235251188278198, "train_acc": 0.75, "val_loss": 0.48166945576667786, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3876759260892868, "train_acc": 0.87, "val_loss": 0.34353601932525635, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3537336587905884, "train_acc": 0.87, "val_loss": 0.46854346990585327, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3428116887807846, "train_acc": 0.84, "val_loss": 0.29282352328300476, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3161996006965637, "train_acc": 0.865, "val_loss": 0.2973741590976715, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.28364821523427963, "train_acc": 0.885, "val_loss": 0.3727818429470062, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.3129105716943741, "train_acc": 0.885, "val_loss": 0.31164172291755676, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7362362742424011, "final_val_loss": 0.6636921763420105, "initial_val_acc": 0.44, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.5085768103599548, "final_val_loss": 0.31164172291755676, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 4}, "improvement": 0.2799999999999999, "first_improvement_epoch": 1}}
|
322
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7407, "learning_rate": 0.024011833371925424, "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: [[22.609061, 22.720638, 23.336101, 25.396013, 26.271258, 29.096635, 31.523195, 34.177201, 37.188306, 195.736950], [33.614648, 34.605020, 35.070125, 39.686419, 40.388709, 41.117130, 41.277183, 43.545954, 44.407712, 202.007892], [18.375443, 18.815945, 19.139755, 19.529578, 21.793409, 23.904785, 24.215048, 24.564892, 26.695486, 84.341034], [33.069338, 36.835468, 39.260491, 39.606002, 41.844350, 42.020060, 42.382842, 45.703578, 45.732796, 162.155184], [13.135415, 14.378553, 15.620248, 15.626385, 16.164535, 16.232346, 16.580775, 16.945293, 18.196230, 93.425540], [24.189020, 25.024784, 26.728791, 27.811649, 28.257065, 28.315990, 30.358807, 31.092360, 34.497100, 153.536882]]
### 2
fourier: [[10.757812, 10.772812, 11.902631, 12.321096, 12.721448, 12.843942, 13.425903, 14.264316, 15.559528, 18.911643], [45.919035, 49.399751, 49.599057, 53.250948, 54.915519, 58.637370, 59.543073, 59.833522, 62.119642, 254.057981], [19.531808, 19.960155, 20.275554, 21.783126, 22.320547, 23.595828, 26.216929, 28.946368, 32.814561, 282.169961], [69.431831, 69.455222, 70.015748, 79.639254, 79.736190, 84.433085, 84.955017, 88.861351, 90.027493, 326.701186], [13.014044, 13.634040, 13.799155, 13.815803, 14.624253, 15.006636, 15.369414, 16.205433, 17.333041, 76.534650], [6.889988, 7.002880, 7.018521, 7.041003, 7.064270, 7.329984, 7.614210, 7.615705, 8.516572, 36.421265]]
### 4
fourier: [[62.436386, 62.729826, 64.380855, 73.803499, 74.163962, 74.342663, 74.716422, 81.387261, 83.285100, 293.747253], [9.191931, 9.671472, 9.671718, 9.895098, 11.321945, 11.572562, 11.732801, 12.313740, 12.489179, 12.643216], [12.147830, 12.618374, 12.830223, 13.496326, 13.638271, 14.571951, 14.695325, 15.707794, 17.231003, 27.895186], [72.748178, 73.323171, 75.688725, 85.868312, 86.764334, 86.905106, 87.152053, 95.104831, 98.376781, 362.561880], [51.690665, 51.776346, 55.037024, 61.358241, 62.584868, 63.267449, 64.430047, 67.930277, 68.337540, 282.162976], [5.457879, 5.486554, 5.642688, 6.215573, 6.489063, 6.859080, 6.863612, 7.047419, 7.086038, 28.088875]]
### 6
fourier: [[66.837866, 68.594634, 69.760418, 78.862430, 79.027377, 79.963091, 80.787605, 86.940568, 90.133095, 287.539621], [49.277547, 50.236050, 51.978841, 58.076716, 58.538869, 59.373922, 59.547709, 63.810774, 66.592171, 239.895640], [68.776536, 70.394003, 72.104160, 81.058997, 81.455734, 82.707880, 83.036950, 89.244145, 92.827571, 296.829801], [67.398524, 68.750421, 70.785889, 79.390926, 79.994914, 81.160469, 81.168751, 87.334168, 90.942069, 327.541941], [11.219601, 11.410017, 11.454983, 13.014543, 13.134849, 13.193690, 13.253015, 14.536687, 15.232903, 16.535761], [76.693112, 78.687641, 80.285722, 90.165647, 90.199243, 91.870926, 92.272054, 99.357706, 104.078153, 371.482110]]
### 8
fourier: [[125.413258, 131.974422, 136.119822, 147.917888, 148.624707, 153.627737, 153.681886, 161.549474, 171.566755, 583.321176], [100.477983, 105.928988, 109.252268, 118.525403, 119.047533, 123.182051, 123.245933, 129.378118, 137.577900, 443.406090], [8.221074, 8.804047, 10.095893, 10.674605, 10.961911, 11.025631, 11.334219, 11.451501, 12.131122, 12.948819], [171.608025, 180.626420, 185.349284, 202.407496, 202.867294, 209.482749, 210.313640, 221.291042, 234.332561, 815.147534], [10.098082, 11.007697, 11.440692, 12.082432, 12.118106, 12.601976, 12.744851, 13.034828, 13.934904, 64.451624], [12.320551, 12.796123, 12.800638, 14.328811, 14.343062, 14.728949, 14.928002, 15.884133, 16.639402, 55.476671]]
### 10
fourier: [[28.585059, 30.263871, 32.797542, 33.697719, 34.490934, 35.213511, 36.323097, 36.516813, 39.838814, 120.750630], [9.723277, 9.760923, 10.241970, 11.113892, 11.221659, 11.495622, 11.933740, 12.699079, 12.964778, 99.800382], [254.468077, 269.805258, 278.188290, 299.631820, 300.291573, 312.435450, 312.798915, 326.266707, 348.421118, 1156.121354], [162.010668, 172.081814, 176.500020, 190.839575, 191.046954, 198.243809, 199.395119, 208.077582, 221.577508, 725.481465], [17.363512, 17.699780, 18.445429, 19.915836, 20.695430, 21.345956, 21.645118, 22.483660, 22.540337, 24.584297], [48.675653, 51.816018, 55.220800, 57.443537, 58.254263, 60.010378, 61.401836, 61.986872, 67.469956, 159.675369]]
### 12
fourier: [[204.212922, 217.549493, 223.186034, 238.767481, 239.820518, 249.278479, 251.091941, 260.589153, 278.513974, 851.483025]]
## 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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[
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## Activation Signature
### 0
fourier: [[22.609061, 22.720638, 23.336101, 25.396013, 26.271258, 29.096635, 31.523195, 34.177201, 37.188306, 195.736950], [33.614648, 34.605020, 35.070125, 39.686419, 40.388709, 41.117130, 41.277183, 43.545954, 44.407712, 202.007892], [18.375443, 18.815945, 19.139755, 19.529578, 21.793409, 23.904785, 24.215048, 24.564892, 26.695486, 84.341034], [33.069338, 36.835468, 39.260491, 39.606002, 41.844350, 42.020060, 42.382842, 45.703578, 45.732796, 162.155184], [13.135415, 14.378553, 15.620248, 15.626385, 16.164535, 16.232346, 16.580775, 16.945293, 18.196230, 93.425540], [24.189020, 25.024784, 26.728791, 27.811649, 28.257065, 28.315990, 30.358807, 31.092360, 34.497100, 153.536882]]
### 2
fourier: [[10.757812, 10.772812, 11.902631, 12.321096, 12.721448, 12.843942, 13.425903, 14.264316, 15.559528, 18.911643], [45.919035, 49.399751, 49.599057, 53.250948, 54.915519, 58.637370, 59.543073, 59.833522, 62.119642, 254.057981], [19.531808, 19.960155, 20.275554, 21.783126, 22.320547, 23.595828, 26.216929, 28.946368, 32.814561, 282.169961], [69.431831, 69.455222, 70.015748, 79.639254, 79.736190, 84.433085, 84.955017, 88.861351, 90.027493, 326.701186], [13.014044, 13.634040, 13.799155, 13.815803, 14.624253, 15.006636, 15.369414, 16.205433, 17.333041, 76.534650], [6.889988, 7.002880, 7.018521, 7.041003, 7.064270, 7.329984, 7.614210, 7.615705, 8.516572, 36.421265]]
### 4
fourier: [[62.436386, 62.729826, 64.380855, 73.803499, 74.163962, 74.342663, 74.716422, 81.387261, 83.285100, 293.747253], [9.191931, 9.671472, 9.671718, 9.895098, 11.321945, 11.572562, 11.732801, 12.313740, 12.489179, 12.643216], [12.147830, 12.618374, 12.830223, 13.496326, 13.638271, 14.571951, 14.695325, 15.707794, 17.231003, 27.895186], [72.748178, 73.323171, 75.688725, 85.868312, 86.764334, 86.905106, 87.152053, 95.104831, 98.376781, 362.561880], [51.690665, 51.776346, 55.037024, 61.358241, 62.584868, 63.267449, 64.430047, 67.930277, 68.337540, 282.162976], [5.457879, 5.486554, 5.642688, 6.215573, 6.489063, 6.859080, 6.863612, 7.047419, 7.086038, 28.088875]]
### 6
fourier: [[66.837866, 68.594634, 69.760418, 78.862430, 79.027377, 79.963091, 80.787605, 86.940568, 90.133095, 287.539621], [49.277547, 50.236050, 51.978841, 58.076716, 58.538869, 59.373922, 59.547709, 63.810774, 66.592171, 239.895640], [68.776536, 70.394003, 72.104160, 81.058997, 81.455734, 82.707880, 83.036950, 89.244145, 92.827571, 296.829801], [67.398524, 68.750421, 70.785889, 79.390926, 79.994914, 81.160469, 81.168751, 87.334168, 90.942069, 327.541941], [11.219601, 11.410017, 11.454983, 13.014543, 13.134849, 13.193690, 13.253015, 14.536687, 15.232903, 16.535761], [76.693112, 78.687641, 80.285722, 90.165647, 90.199243, 91.870926, 92.272054, 99.357706, 104.078153, 371.482110]]
### 8
fourier: [[125.413258, 131.974422, 136.119822, 147.917888, 148.624707, 153.627737, 153.681886, 161.549474, 171.566755, 583.321176], [100.477983, 105.928988, 109.252268, 118.525403, 119.047533, 123.182051, 123.245933, 129.378118, 137.577900, 443.406090], [8.221074, 8.804047, 10.095893, 10.674605, 10.961911, 11.025631, 11.334219, 11.451501, 12.131122, 12.948819], [171.608025, 180.626420, 185.349284, 202.407496, 202.867294, 209.482749, 210.313640, 221.291042, 234.332561, 815.147534], [10.098082, 11.007697, 11.440692, 12.082432, 12.118106, 12.601976, 12.744851, 13.034828, 13.934904, 64.451624], [12.320551, 12.796123, 12.800638, 14.328811, 14.343062, 14.728949, 14.928002, 15.884133, 16.639402, 55.476671]]
### 10
fourier: [[28.585059, 30.263871, 32.797542, 33.697719, 34.490934, 35.213511, 36.323097, 36.516813, 39.838814, 120.750630], [9.723277, 9.760923, 10.241970, 11.113892, 11.221659, 11.495622, 11.933740, 12.699079, 12.964778, 99.800382], [254.468077, 269.805258, 278.188290, 299.631820, 300.291573, 312.435450, 312.798915, 326.266707, 348.421118, 1156.121354], [162.010668, 172.081814, 176.500020, 190.839575, 191.046954, 198.243809, 199.395119, 208.077582, 221.577508, 725.481465], [17.363512, 17.699780, 18.445429, 19.915836, 20.695430, 21.345956, 21.645118, 22.483660, 22.540337, 24.584297], [48.675653, 51.816018, 55.220800, 57.443537, 58.254263, 60.010378, 61.401836, 61.986872, 67.469956, 159.675369]]
### 12
fourier: [[204.212922, 217.549493, 223.186034, 238.767481, 239.820518, 249.278479, 251.091941, 260.589153, 278.513974, 851.483025]]
## 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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18.4454293490947, 19.91583568771256, 20.69543009964198, 21.345956395468846, 21.645118419738456, 22.48366037597708, 22.540336884517487, 24.58429688780757]}, "5": {"fourier": [48.67565323851333, 51.8160180136459, 55.220800386999265, 57.44353680261519, 58.254263091582445, 60.010377988174206, 61.401836254240024, 61.986871866973914, 67.46995601405825, 159.67536878585815]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [204.2129223099516, 217.5494934747548, 223.1860336460655, 238.7674814021675, 239.8205180991069, 249.2784790694146, 251.09194107824217, 260.58915329417385, 278.5139740971852, 851.4830250740051]}}, "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": [[0.636192, 0.062829, 0.040442, 0.465363, 0.266021], [0.974123, 0.375699, 0.178466, -0.070059, 0.02619], [-0.361555, 0.055362, -0.366615, -0.451692, 0.537677], [0.889199, 0.34393, 0.338481, -0.214334, 0.149967], [-0.438256, -0.038666, 0.265606, 0.09005, 0.255444], [0.633056, 0.230409, 0.248275, 0.161851, 0.048005]], "network.0.bias": [-0.141855, 0.092824, 0.483242, -0.363934, 0.590926, -0.426598], "network.2.weight": [[-0.01624, -0.002224, 0.31322, 0.028865, 0.257285, -0.382823], [0.246235, 0.25648, -0.458934, 0.621564, 0.113009, 0.483231], [-0.737851, 0.012052, -0.213162, -0.111081, -0.776372, 0.047157], [0.451117, 0.720649, -0.453466, 0.649209, -0.323328, 0.408496], [0.066495, -0.36286, 0.18468, 0.243544, 0.087015, -0.366447], [0.215991, 0.202977, -0.568422, -0.350919, 0.114134, -0.19486]], "network.2.bias": [0.098441, -0.253425, -0.619145, -0.362515, -0.157725, 0.436399], "network.4.weight": [[-0.238365, 0.604898, -0.077152, 0.483555, -0.04346, -0.2921], [-0.063252, -0.135798, -0.453995, -0.045876, -0.078524, 0.044887], [0.405887, 0.008274, -0.160731, -0.16155, -0.073296, 0.26322], [-0.483762, 0.596986, 0.041296, 0.62834, -0.128588, -0.540891], [-0.411143, -0.424509, -0.186829, -0.481422, -0.128822, 0.10217], [0.131254, 0.148146, -0.181773, -0.016812, 0.026888, 0.024569]], "network.4.bias": [-0.09887, 0.498031, 0.12137, 0.262419, -0.187738, -0.067955], "network.6.weight": [[0.429213, -0.621836, -0.073757, 0.534118, 0.614307, -0.086865], [0.416886, -0.122474, 0.025074, 0.32149, 0.027671, -0.022196], [0.557334, -0.441983, -0.081161, 0.440247, 0.45456, 0.201504], [0.653397, -0.285248, -0.154199, 0.342869, 0.103962, 0.244032], [-0.081343, 0.019135, -0.22137, 0.213361, 0.065771, 0.071674], [0.468473, -0.022911, -0.484027, 0.639476, 0.561313, 0.033577]], "network.6.bias": [-0.209854, 0.028446, -0.253801, 0.113798, -0.409094, 0.079446], "network.8.weight": [[0.2226, 0.60527, 0.701901, 0.011818, 0.44559, 0.388588], [0.148351, 0.339111, 0.745976, -0.134262, 0.349161, 0.397299], [0.237757, -0.087394, 0.51167, -0.65853, 0.665909, 0.022147], [0.722042, 0.225702, 0.52165, 0.611691, 0.132708, 0.482515], [-0.121351, 0.058737, -0.219375, -0.088383, 0.002096, 0.201841], [0.26347, 0.220734, -0.286595, -0.122307, 0.221834, -0.194941]], "network.8.bias": [-0.018157, -0.252678, -0.148915, 0.040305, -0.235449, 0.092108], "network.10.weight": [[0.033615, -0.304425, -0.382595, -0.000376, -0.249681, -0.445937], [-0.083311, 0.222047, 0.222072, -0.133725, 0.042349, 0.049486], [0.63135, 0.543878, 0.156552, 0.704488, -0.188167, -0.275777], [0.08227, 0.472131, -0.244629, 0.622901, 0.163017, -0.411437], [0.20068, -0.066398, -0.343361, -0.19675, -0.426032, -0.11818], [-0.075787, -0.589567, -0.379487, 0.127312, -0.29932, -0.248122]], "network.10.bias": [-0.010452, -0.495839, -0.470727, -0.478798, 0.742365, 0.548932], "network.12.weight": [[0.031513, -0.298142, -0.559622, -0.372006, 0.466813, 0.45024]], "network.12.bias": [0.613906]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.734090119600296, "train_acc": 0.43, "val_loss": 0.6965304613113403, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7050548493862152, "train_acc": 0.43, "val_loss": 0.67405104637146, "val_acc": 0.74}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6778194606304169, "train_acc": 0.64, "val_loss": 0.6390700340270996, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6438334584236145, "train_acc": 0.53, "val_loss": 0.5613793134689331, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5731428563594818, "train_acc": 0.785, "val_loss": 0.4500510096549988, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.48891763389110565, "train_acc": 0.77, "val_loss": 0.37893059849739075, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4478664696216583, "train_acc": 0.77, "val_loss": 0.3364049792289734, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39642202854156494, "train_acc": 0.86, "val_loss": 0.28380900621414185, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3535562604665756, "train_acc": 0.89, "val_loss": 0.3164904713630676, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.37139153480529785, "train_acc": 0.85, "val_loss": 0.23420393466949463, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.31877413392066956, "train_acc": 0.88, "val_loss": 0.20510101318359375, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.29680439829826355, "train_acc": 0.895, "val_loss": 0.20603351294994354, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2880595475435257, "train_acc": 0.885, "val_loss": 0.15143756568431854, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6965304613113403, "final_val_loss": 0.6390700340270996, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5613793134689331, "final_val_loss": 0.15143756568431854, "initial_val_acc": 0.9, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 12}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
323
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4467, "learning_rate": 0.039728172036982624, "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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],
[
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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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"network.4.weight": [
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"network.6.weight": [
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"network.8.weight": [
[
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[
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"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[15.772157, 16.271709, 16.826976, 17.532650, 17.642704, 21.452939, 22.927170, 23.713328, 28.887519, 74.448529], [16.780405, 16.819239, 18.802383, 20.919638, 21.003104, 21.721841, 21.877488, 22.073851, 25.086744, 27.983454], [16.103074, 16.357415, 16.872327, 18.355148, 22.018537, 22.267025, 23.051291, 23.368038, 23.666716, 107.562071], [21.707973, 21.780216, 24.008361, 25.216403, 26.147469, 28.502542, 28.812315, 30.605856, 30.665000, 61.303200], [16.649942, 16.758352, 17.435145, 17.471998, 17.774904, 18.075908, 19.552826, 19.952308, 22.492663, 48.748113], [16.605102, 17.508791, 18.812295, 19.678151, 19.989632, 20.220394, 22.342608, 22.784564, 24.366591, 67.911915], [19.942068, 20.379350, 20.526656, 21.560057, 22.415725, 22.786592, 23.773650, 24.245753, 25.956620, 119.881201]]
### 2
fourier: [[9.313415, 10.006417, 10.311614, 10.955484, 11.004688, 11.219624, 12.534241, 14.038126, 15.494904, 81.310648], [10.978100, 11.625533, 11.853082, 12.315472, 12.516839, 12.871318, 14.467616, 16.002050, 17.449172, 121.997719], [9.579710, 10.125231, 10.274143, 10.631955, 12.072771, 13.001116, 14.083721, 17.071199, 18.463135, 102.680664], [24.968056, 26.311314, 31.201236, 32.281608, 32.729059, 33.706297, 35.961352, 38.256044, 50.281056, 125.635573], [17.978924, 18.585461, 19.126348, 19.200033, 20.944382, 21.042343, 22.423569, 22.429760, 22.635153, 24.122272], [28.066176, 28.632058, 29.713893, 30.540091, 31.799120, 32.433708, 34.740038, 36.438142, 42.638036, 206.360853], [6.780641, 6.946152, 7.957051, 8.175474, 8.327639, 8.611845, 8.781501, 9.427879, 10.042620, 61.729975]]
### 4
fourier: [[39.040031, 41.635689, 42.752350, 45.507243, 46.141146, 46.501272, 47.420808, 47.679164, 65.023705, 301.075290], [35.455159, 36.143690, 36.981465, 41.580578, 41.799948, 42.102343, 42.327383, 42.998422, 57.285254, 281.925968], [26.644268, 26.705626, 28.056648, 29.247790, 29.780567, 29.888536, 31.558840, 31.607340, 43.834686, 193.184172], [36.867739, 37.081799, 37.973215, 43.273279, 43.504403, 43.815933, 43.827720, 44.039418, 59.457380, 322.482881], [20.839949, 23.788643, 24.008642, 24.186875, 25.033476, 26.092347, 26.389570, 28.245361, 34.611533, 186.066078], [28.557130, 30.080439, 30.546979, 31.355984, 31.436391, 32.772500, 34.439971, 34.870439, 49.302711, 207.547090], [3.754379, 3.846805, 4.007621, 4.454067, 4.584083, 4.804110, 5.030064, 5.878388, 6.747615, 73.818956]]
### 6
fourier: [[97.166678, 99.083155, 102.726302, 113.733575, 116.195717, 116.288208, 116.371481, 120.265240, 160.727798, 818.492388], [74.809470, 76.929605, 79.654796, 87.591303, 88.585865, 89.112433, 90.549664, 92.870847, 124.946374, 618.701519], [3.496275, 3.715519, 3.864468, 4.223602, 4.282200, 4.684419, 4.869191, 5.213685, 7.041409, 7.477187], [73.496859, 75.878543, 78.625332, 86.125161, 86.901715, 87.733697, 89.124026, 92.019790, 123.718577, 615.426689], [6.829192, 7.292282, 7.577332, 7.725413, 7.777341, 8.151628, 8.537110, 8.692752, 11.457096, 15.684821], [95.835705, 97.441547, 100.859888, 112.267492, 114.352365, 114.753628, 115.195846, 118.208964, 157.625275, 843.230333], [15.960565, 16.663905, 16.939323, 19.864869, 19.989573, 20.029813, 20.077825, 20.217528, 26.774303, 129.797624]]
### 8
fourier: [[128.124989, 131.048754, 135.694612, 150.268978, 153.458888, 153.623559, 153.751572, 159.127141, 212.705185, 1089.639796], [88.207588, 92.065072, 93.799688, 105.177739, 106.856458, 106.990494, 107.448465, 110.920099, 148.023134, 797.469066], [100.541591, 103.000588, 106.617082, 118.036166, 120.447386, 120.574762, 120.775049, 125.127278, 167.240040, 874.976107], [108.296464, 112.411352, 115.495368, 128.129286, 129.923915, 130.496165, 131.588908, 135.999575, 182.076263, 945.543190], [186.784128, 191.179244, 198.999773, 218.450691, 221.894965, 223.468468, 224.704797, 233.034056, 312.534852, 1547.572357], [138.603673, 141.509897, 147.437986, 161.945746, 164.834083, 165.873055, 166.319859, 172.676739, 231.399475, 1143.107425], [42.705605, 44.136394, 45.281839, 50.416307, 51.348286, 51.421659, 51.668747, 53.276841, 71.172640, 404.169513]]
### 10
fourier: [[209.287835, 216.028691, 224.120390, 246.786161, 251.644233, 252.542132, 253.350307, 263.778004, 352.584535, 1725.253831]]
## 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: [[15.772157, 16.271709, 16.826976, 17.532650, 17.642704, 21.452939, 22.927170, 23.713328, 28.887519, 74.448529], [16.780405, 16.819239, 18.802383, 20.919638, 21.003104, 21.721841, 21.877488, 22.073851, 25.086744, 27.983454], [16.103074, 16.357415, 16.872327, 18.355148, 22.018537, 22.267025, 23.051291, 23.368038, 23.666716, 107.562071], [21.707973, 21.780216, 24.008361, 25.216403, 26.147469, 28.502542, 28.812315, 30.605856, 30.665000, 61.303200], [16.649942, 16.758352, 17.435145, 17.471998, 17.774904, 18.075908, 19.552826, 19.952308, 22.492663, 48.748113], [16.605102, 17.508791, 18.812295, 19.678151, 19.989632, 20.220394, 22.342608, 22.784564, 24.366591, 67.911915], [19.942068, 20.379350, 20.526656, 21.560057, 22.415725, 22.786592, 23.773650, 24.245753, 25.956620, 119.881201]]
### 2
fourier: [[9.313415, 10.006417, 10.311614, 10.955484, 11.004688, 11.219624, 12.534241, 14.038126, 15.494904, 81.310648], [10.978100, 11.625533, 11.853082, 12.315472, 12.516839, 12.871318, 14.467616, 16.002050, 17.449172, 121.997719], [9.579710, 10.125231, 10.274143, 10.631955, 12.072771, 13.001116, 14.083721, 17.071199, 18.463135, 102.680664], [24.968056, 26.311314, 31.201236, 32.281608, 32.729059, 33.706297, 35.961352, 38.256044, 50.281056, 125.635573], [17.978924, 18.585461, 19.126348, 19.200033, 20.944382, 21.042343, 22.423569, 22.429760, 22.635153, 24.122272], [28.066176, 28.632058, 29.713893, 30.540091, 31.799120, 32.433708, 34.740038, 36.438142, 42.638036, 206.360853], [6.780641, 6.946152, 7.957051, 8.175474, 8.327639, 8.611845, 8.781501, 9.427879, 10.042620, 61.729975]]
### 4
fourier: [[39.040031, 41.635689, 42.752350, 45.507243, 46.141146, 46.501272, 47.420808, 47.679164, 65.023705, 301.075290], [35.455159, 36.143690, 36.981465, 41.580578, 41.799948, 42.102343, 42.327383, 42.998422, 57.285254, 281.925968], [26.644268, 26.705626, 28.056648, 29.247790, 29.780567, 29.888536, 31.558840, 31.607340, 43.834686, 193.184172], [36.867739, 37.081799, 37.973215, 43.273279, 43.504403, 43.815933, 43.827720, 44.039418, 59.457380, 322.482881], [20.839949, 23.788643, 24.008642, 24.186875, 25.033476, 26.092347, 26.389570, 28.245361, 34.611533, 186.066078], [28.557130, 30.080439, 30.546979, 31.355984, 31.436391, 32.772500, 34.439971, 34.870439, 49.302711, 207.547090], [3.754379, 3.846805, 4.007621, 4.454067, 4.584083, 4.804110, 5.030064, 5.878388, 6.747615, 73.818956]]
### 6
fourier: [[97.166678, 99.083155, 102.726302, 113.733575, 116.195717, 116.288208, 116.371481, 120.265240, 160.727798, 818.492388], [74.809470, 76.929605, 79.654796, 87.591303, 88.585865, 89.112433, 90.549664, 92.870847, 124.946374, 618.701519], [3.496275, 3.715519, 3.864468, 4.223602, 4.282200, 4.684419, 4.869191, 5.213685, 7.041409, 7.477187], [73.496859, 75.878543, 78.625332, 86.125161, 86.901715, 87.733697, 89.124026, 92.019790, 123.718577, 615.426689], [6.829192, 7.292282, 7.577332, 7.725413, 7.777341, 8.151628, 8.537110, 8.692752, 11.457096, 15.684821], [95.835705, 97.441547, 100.859888, 112.267492, 114.352365, 114.753628, 115.195846, 118.208964, 157.625275, 843.230333], [15.960565, 16.663905, 16.939323, 19.864869, 19.989573, 20.029813, 20.077825, 20.217528, 26.774303, 129.797624]]
### 8
fourier: [[128.124989, 131.048754, 135.694612, 150.268978, 153.458888, 153.623559, 153.751572, 159.127141, 212.705185, 1089.639796], [88.207588, 92.065072, 93.799688, 105.177739, 106.856458, 106.990494, 107.448465, 110.920099, 148.023134, 797.469066], [100.541591, 103.000588, 106.617082, 118.036166, 120.447386, 120.574762, 120.775049, 125.127278, 167.240040, 874.976107], [108.296464, 112.411352, 115.495368, 128.129286, 129.923915, 130.496165, 131.588908, 135.999575, 182.076263, 945.543190], [186.784128, 191.179244, 198.999773, 218.450691, 221.894965, 223.468468, 224.704797, 233.034056, 312.534852, 1547.572357], [138.603673, 141.509897, 147.437986, 161.945746, 164.834083, 165.873055, 166.319859, 172.676739, 231.399475, 1143.107425], [42.705605, 44.136394, 45.281839, 50.416307, 51.348286, 51.421659, 51.668747, 53.276841, 71.172640, 404.169513]]
### 10
fourier: [[209.287835, 216.028691, 224.120390, 246.786161, 251.644233, 252.542132, 253.350307, 263.778004, 352.584535, 1725.253831]]
## 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": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.48564, 0.009492, -0.028934, 0.023034, 0.351327], [0.238925, -0.685072, 0.388153, -0.109958, -0.252366], [0.305946, 0.321294, 0.071995, -0.175267, 0.366307], [-0.210257, -0.182474, -0.230006, 0.630815, 0.513658], [0.440096, 0.265619, 0.073233, -0.100052, -0.072208], [-0.59017, 0.255937, 0.344371, -0.191527, 0.40436], [-0.474298, -0.082552, 0.307336, 0.271779, 0.500412]], "network.0.bias": [-0.216702, 0.615009, 0.002614, -0.230496, -0.339408, 0.215292, 0.230699], "network.2.weight": [[0.112731, 0.587334, -0.092376, 0.437618, -0.273909, 0.220959, -0.039416], [-0.312578, -0.240948, -0.239172, -0.133234, 0.364913, -0.306831, -0.179363], [-0.128666, -0.237387, -0.432122, -0.332901, 0.114055, 0.005328, -0.102621], [-0.674092, -0.08711, -0.035988, 0.701124, -0.278462, 0.628475, 0.49367], [0.537446, -0.338836, 0.298083, 0.114831, 0.195075, -0.630309, -0.099867], [0.001443, 0.710496, -0.158001, 0.653466, -0.571645, 0.621277, 0.577342], [-0.029685, 0.153277, -0.299299, 0.05956, -0.108019, -0.012766, 0.128631]], "network.2.bias": [0.194656, -0.207194, 0.046429, 0.212307, -0.041091, 0.384725, -0.530553], "network.4.weight": [[0.539783, 0.175137, -0.045835, 0.696541, -0.427627, 0.724793, 0.284711], [0.585934, -0.088101, 0.139295, 0.644192, -0.242884, 0.64261, -0.006587], [0.341626, -0.349757, -0.137234, 0.687024, -0.217899, 0.30386, -0.164675], [0.657917, -0.018569, 0.320443, 0.76103, -0.194892, 0.585848, 0.097895], [0.146091, -0.066314, 0.306033, 0.05866, -0.329431, 0.699394, 0.16274], [0.020387, 0.195491, -0.162165, 0.699462, -0.497583, 0.395409, 0.029701], [-0.266438, -0.296339, -0.349094, -0.347314, -0.214474, 0.207966, -0.103635]], "network.4.bias": [0.052461, -0.012638, -0.019535, 0.275774, 0.284364, 0.355653, -0.344688], "network.6.weight": [[0.599414, 0.795483, 0.325656, 0.242995, 0.625232, 0.739161, -0.18193], [0.473709, 0.390834, 0.257105, 0.472556, 0.15194, 0.706764, 0.287814], [0.127904, -0.259528, -0.17528, 0.681392, -0.307066, -0.510319, 0.365267], [0.71659, 0.321635, 0.662651, 0.033076, 0.191981, 0.602429, 0.222042], [0.00366, -0.312835, 0.341632, 0.239969, -0.238943, -0.333604, -0.061152], [0.442919, 0.628418, 0.572173, 0.358724, 0.870697, 0.534253, 0.313063], [-0.243143, -0.062701, -0.182813, -0.275292, 0.191506, 0.196217, 0.272023]], "network.6.bias": [-0.264901, -0.337834, 0.128075, -0.140004, 0.512797, 0.097629, 0.116512], "network.8.weight": [[0.536908, 0.212891, -0.040302, 0.194415, -0.12765, 0.48087, -0.548085], [-0.139313, -0.295665, -0.352451, -0.270215, -0.331516, -0.367855, -0.205067], [-0.297614, 0.113107, 0.048585, -0.468045, 0.007596, -0.480726, 0.06249], [-0.111229, -0.483148, -0.151016, -0.556858, -0.088199, -0.231671, -0.002439], [0.724801, 0.585062, -0.565662, 0.787431, -0.483776, 0.150085, -0.370712], [0.865391, 0.321311, -0.442771, 0.389434, -0.44958, 0.014988, -0.116092], [-0.020458, -0.103316, -0.163053, -0.196827, -0.014791, -0.19899, 0.109734]], "network.8.bias": [-0.075084, -0.170462, -0.081071, -0.138222, -0.15362, -0.130618, -0.36251], "network.10.weight": [[-0.422102, 0.14783, 0.054108, 0.042967, -0.650111, -0.265449, -0.086043]], "network.10.bias": [0.561749]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6987506151199341, "train_acc": 0.455, "val_loss": 0.6955364942550659, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6650153398513794, "train_acc": 0.575, "val_loss": 0.6768082976341248, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6341640949249268, "train_acc": 0.575, "val_loss": 0.6091243028640747, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5610687434673309, "train_acc": 0.5, "val_loss": 0.5051908493041992, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4628019481897354, "train_acc": 0.915, "val_loss": 0.47329604625701904, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3912210613489151, "train_acc": 0.92, "val_loss": 0.5137914419174194, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3473373204469681, "train_acc": 0.94, "val_loss": 0.36558449268341064, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3297356218099594, "train_acc": 0.935, "val_loss": 0.33347854018211365, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2987847626209259, "train_acc": 0.955, "val_loss": 0.31804707646369934, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2906644344329834, "train_acc": 0.945, "val_loss": 0.3546128571033478, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.27121103554964066, "train_acc": 0.945, "val_loss": 0.6482051014900208, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2684869319200516, "train_acc": 0.945, "val_loss": 0.271953284740448, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.2558772563934326, "train_acc": 0.945, "val_loss": 0.28909653425216675, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6955364942550659, "final_val_loss": 0.6091243028640747, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5051908493041992, "final_val_loss": 0.28909653425216675, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.43999999999999995, "first_improvement_epoch": 2}}
|
324
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8044, "learning_rate": 0.08053090106560873, "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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[
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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.2.bias": [
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"network.4.weight": [
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[
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],
[
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0.172259,
0.0724
],
[
0.02339,
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]
],
"network.4.bias": [
0.625715,
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"network.6.weight": [
[
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[
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[
-0.622056,
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[
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[
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[
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}
## Activation Signature
### 0
fourier: [[40.727884, 43.336387, 43.775637, 44.664237, 52.034353, 54.850745, 55.599136, 62.319138, 82.250295, 264.946855], [39.394552, 40.659960, 41.171533, 41.975858, 42.369397, 42.576902, 43.139683, 47.554430, 57.256277, 70.396022], [27.800011, 29.502616, 29.806980, 30.688753, 31.839907, 32.342469, 33.891753, 38.687742, 41.867469, 43.020292], [25.313932, 25.599338, 26.245986, 26.960483, 28.603926, 28.764512, 30.110058, 35.436607, 38.218931, 107.671988], [20.891670, 20.944417, 21.740957, 22.117519, 23.035455, 23.107437, 26.849701, 29.076716, 29.184480, 95.455679], [33.747206, 35.165731, 37.163652, 38.247812, 39.744453, 42.043398, 44.532471, 44.984871, 46.086732, 52.949632]]
### 2
fourier: [[22.573852, 25.894877, 26.739322, 27.764613, 30.037389, 31.847376, 32.734485, 35.709026, 38.311809, 228.729987], [27.299893, 27.844505, 28.861023, 29.246122, 30.187531, 31.076984, 31.217854, 43.522306, 50.825256, 152.129215], [45.450174, 46.950052, 53.086820, 56.329389, 59.030224, 59.127012, 64.809809, 68.429039, 93.762051, 147.289634], [19.185218, 21.320939, 21.725108, 22.707967, 27.192546, 33.146206, 35.006694, 35.695317, 38.808639, 192.942577], [38.724007, 39.081057, 40.837969, 44.353693, 45.623178, 48.798270, 52.696436, 60.624840, 71.559880, 102.035957], [15.535481, 17.395098, 17.962590, 22.427411, 25.509279, 25.844890, 26.828480, 32.278867, 33.522552, 74.233314]]
### 4
fourier: [[22.654932, 22.677046, 23.165602, 23.604697, 24.222619, 25.289708, 26.200012, 31.452131, 35.498645, 39.402429], [34.255958, 34.855765, 34.867100, 35.616635, 39.753799, 42.411949, 45.747428, 52.239718, 64.707321, 88.228265], [59.234389, 65.446266, 65.714558, 67.007810, 68.090313, 73.307175, 76.726670, 91.181996, 103.738019, 241.785557], [29.690359, 30.852621, 33.160158, 34.076288, 35.403083, 35.404568, 38.666635, 48.472561, 60.535772, 122.752078], [23.336350, 24.011489, 26.065854, 26.829133, 27.718580, 27.765599, 30.641647, 38.340535, 47.647413, 81.783423], [46.309573, 49.955065, 52.070118, 53.665913, 53.786695, 55.202515, 55.229036, 73.531785, 86.827249, 344.994239]]
### 6
fourier: [[48.474503, 48.972895, 50.915941, 55.518753, 55.830728, 59.334603, 59.804364, 77.233601, 89.866308, 150.931465], [22.268197, 22.414034, 23.013556, 24.198860, 25.354786, 25.860003, 26.993975, 32.288520, 35.169536, 40.880825], [25.786275, 26.643691, 27.040334, 30.780144, 32.174687, 32.316471, 35.448023, 41.713336, 42.033691, 46.538623], [16.853087, 16.853853, 16.881529, 17.243888, 17.739270, 17.834216, 19.513060, 23.345401, 27.343064, 245.821700], [23.472246, 24.344248, 26.115173, 27.179895, 27.444677, 28.886646, 32.214403, 33.842577, 36.066025, 37.884137], [19.820489, 19.991132, 20.918657, 21.580684, 24.400213, 25.001339, 25.779234, 28.654773, 32.463340, 37.587478]]
### 8
fourier: [[38.877592, 40.857852, 41.145920, 41.657815, 45.250569, 46.549429, 49.689689, 62.187441, 75.149796, 132.528018]]
## 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": [
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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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],
[
0.02339,
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]
],
"network.4.bias": [
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],
"network.6.weight": [
[
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[40.727884, 43.336387, 43.775637, 44.664237, 52.034353, 54.850745, 55.599136, 62.319138, 82.250295, 264.946855], [39.394552, 40.659960, 41.171533, 41.975858, 42.369397, 42.576902, 43.139683, 47.554430, 57.256277, 70.396022], [27.800011, 29.502616, 29.806980, 30.688753, 31.839907, 32.342469, 33.891753, 38.687742, 41.867469, 43.020292], [25.313932, 25.599338, 26.245986, 26.960483, 28.603926, 28.764512, 30.110058, 35.436607, 38.218931, 107.671988], [20.891670, 20.944417, 21.740957, 22.117519, 23.035455, 23.107437, 26.849701, 29.076716, 29.184480, 95.455679], [33.747206, 35.165731, 37.163652, 38.247812, 39.744453, 42.043398, 44.532471, 44.984871, 46.086732, 52.949632]]
### 2
fourier: [[22.573852, 25.894877, 26.739322, 27.764613, 30.037389, 31.847376, 32.734485, 35.709026, 38.311809, 228.729987], [27.299893, 27.844505, 28.861023, 29.246122, 30.187531, 31.076984, 31.217854, 43.522306, 50.825256, 152.129215], [45.450174, 46.950052, 53.086820, 56.329389, 59.030224, 59.127012, 64.809809, 68.429039, 93.762051, 147.289634], [19.185218, 21.320939, 21.725108, 22.707967, 27.192546, 33.146206, 35.006694, 35.695317, 38.808639, 192.942577], [38.724007, 39.081057, 40.837969, 44.353693, 45.623178, 48.798270, 52.696436, 60.624840, 71.559880, 102.035957], [15.535481, 17.395098, 17.962590, 22.427411, 25.509279, 25.844890, 26.828480, 32.278867, 33.522552, 74.233314]]
### 4
fourier: [[22.654932, 22.677046, 23.165602, 23.604697, 24.222619, 25.289708, 26.200012, 31.452131, 35.498645, 39.402429], [34.255958, 34.855765, 34.867100, 35.616635, 39.753799, 42.411949, 45.747428, 52.239718, 64.707321, 88.228265], [59.234389, 65.446266, 65.714558, 67.007810, 68.090313, 73.307175, 76.726670, 91.181996, 103.738019, 241.785557], [29.690359, 30.852621, 33.160158, 34.076288, 35.403083, 35.404568, 38.666635, 48.472561, 60.535772, 122.752078], [23.336350, 24.011489, 26.065854, 26.829133, 27.718580, 27.765599, 30.641647, 38.340535, 47.647413, 81.783423], [46.309573, 49.955065, 52.070118, 53.665913, 53.786695, 55.202515, 55.229036, 73.531785, 86.827249, 344.994239]]
### 6
fourier: [[48.474503, 48.972895, 50.915941, 55.518753, 55.830728, 59.334603, 59.804364, 77.233601, 89.866308, 150.931465], [22.268197, 22.414034, 23.013556, 24.198860, 25.354786, 25.860003, 26.993975, 32.288520, 35.169536, 40.880825], [25.786275, 26.643691, 27.040334, 30.780144, 32.174687, 32.316471, 35.448023, 41.713336, 42.033691, 46.538623], [16.853087, 16.853853, 16.881529, 17.243888, 17.739270, 17.834216, 19.513060, 23.345401, 27.343064, 245.821700], [23.472246, 24.344248, 26.115173, 27.179895, 27.444677, 28.886646, 32.214403, 33.842577, 36.066025, 37.884137], [19.820489, 19.991132, 20.918657, 21.580684, 24.400213, 25.001339, 25.779234, 28.654773, 32.463340, 37.587478]]
### 8
fourier: [[38.877592, 40.857852, 41.145920, 41.657815, 45.250569, 46.549429, 49.689689, 62.187441, 75.149796, 132.528018]]
## 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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{"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": [[-0.241269, -0.030529, 0.124593, -0.005192, 1.936156], [-0.729013, -0.487876, 0.129347, -0.301511, 1.615226], [0.03422, 0.638801, 0.000265, -0.147581, -1.048102], [-0.650739, 0.025839, -0.432753, -0.076413, 0.728121], [0.558826, 0.205582, 0.177917, 0.076694, -0.539235], [0.694019, -0.295678, 0.433558, 0.156759, -1.463709]], "network.0.bias": [0.662678, -0.006212, -0.027902, -0.263811, 0.119517, 0.251132], "network.2.weight": [[-0.212089, 0.170565, -0.902664, -0.160702, -0.706806, -0.386009], [-0.532604, -0.0998, -0.352579, 0.098187, -0.704374, 0.503144], [0.662491, 0.820143, 0.096141, -0.770662, -0.181334, -0.590084], [0.29782, 0.207934, -0.26006, 0.45704, 0.833185, 0.046961], [0.568835, 0.314034, -0.462121, 0.10988, -0.147953, -0.453243], [-0.047712, -0.684516, 0.862653, 1.598844, 0.030918, -0.854325]], "network.2.bias": [-0.428384, 0.471924, -0.32816, 0.071906, -0.044644, 0.068124], "network.4.weight": [[-0.106628, 0.451998, -0.579431, 0.320432, -0.024715, 0.804906], [0.111593, 0.626501, -0.558012, 0.229176, -0.391443, 0.605176], [0.450451, -0.759041, 0.826038, 0.460819, 0.291407, -1.315998], [0.257754, -0.238324, 0.624823, -0.141712, 0.190419, 0.113], [-0.014652, -0.406751, 0.474478, -0.114756, 0.172259, 0.0724], [0.02339, -0.345983, -0.657302, -0.535062, -0.207886, -0.0107]], "network.4.bias": [0.625715, 0.356062, -0.342074, -0.039854, -0.201128, -0.917804], "network.6.weight": [[-0.417811, -0.405483, 0.795104, -0.01967, 0.068128, 0.422237], [-0.216995, -0.013988, 0.296441, 0.275964, -0.181856, 0.614624], [-0.622056, -0.13487, 0.552574, -0.158867, -0.160455, 0.631967], [-1.323296, -0.71615, 0.134537, -0.367343, -0.421722, 0.83702], [0.713078, 0.619279, -0.389867, 0.056558, 0.17546, -0.297866], [-0.07514, -0.756761, 0.297673, 0.076219, -0.04811, 0.424421]], "network.6.bias": [-0.207163, -0.528834, -0.212962, -0.793336, 0.420399, -0.471761], "network.8.weight": [[-0.460996, -0.182739, -0.501182, -0.674049, 0.238422, -0.176255]], "network.8.bias": [-0.018912]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802075207233429, "train_acc": 0.575, "val_loss": 0.6854711771011353, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6310823261737823, "train_acc": 0.575, "val_loss": 0.5579659938812256, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5587098896503448, "train_acc": 0.61, "val_loss": 0.43166449666023254, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5056879818439484, "train_acc": 0.72, "val_loss": 0.33330342173576355, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.7266855537891388, "train_acc": 0.705, "val_loss": 0.3328752815723419, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.43669308722019196, "train_acc": 0.775, "val_loss": 0.32896843552589417, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.42111533880233765, "train_acc": 0.8, "val_loss": 0.45808279514312744, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4655788093805313, "train_acc": 0.765, "val_loss": 0.30922558903694153, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.41735541820526123, "train_acc": 0.805, "val_loss": 0.31473007798194885, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.43139488995075226, "train_acc": 0.785, "val_loss": 0.3381095230579376, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.44298382103443146, "train_acc": 0.79, "val_loss": 0.3346616327762604, "val_acc": 0.88}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6854711771011353, "final_val_loss": 0.5579659938812256, "initial_val_acc": 0.5, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.43166449666023254, "final_val_loss": 0.3346616327762604, "initial_val_acc": 0.8, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 10}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
325
|
{"target_pattern": "decreasing_pairs", "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": "gelu", "dropout_rate": 0.0, "random_seed": 9914, "learning_rate": 0.09320783798166077, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[39.831986, 40.052293, 46.207593, 46.901185, 47.838756, 48.515894, 50.148917, 51.898379, 56.062095, 292.814531], [28.739054, 35.102598, 38.923524, 40.384718, 42.765410, 43.908891, 46.692575, 47.389695, 52.599353, 73.223162], [34.344965, 34.739544, 35.231036, 38.420493, 38.455490, 39.156673, 45.182265, 51.352916, 56.295996, 140.296418], [22.103656, 22.251270, 22.258633, 23.069823, 23.647951, 31.301115, 31.769290, 33.308063, 37.010083, 135.968049], [20.967734, 22.147908, 25.009071, 26.247830, 26.645440, 29.488921, 29.889999, 31.849372, 36.147672, 36.508159]]
### 2
fourier: [[24.226743, 24.332307, 28.726520, 30.729218, 32.707908, 36.327150, 36.769769, 37.042732, 39.003762, 229.081886], [34.515770, 36.875180, 39.910177, 41.313043, 42.479076, 46.519305, 52.169513, 58.777847, 60.168528, 65.773289], [24.445204, 24.533620, 24.832116, 28.827786, 33.139874, 33.184688, 34.575694, 38.659828, 41.748124, 43.137098], [35.610493, 37.103708, 41.676900, 41.917260, 43.123299, 49.793209, 53.127981, 60.812395, 62.441693, 64.419566], [36.776420, 37.626063, 37.920679, 40.179007, 40.618845, 47.316582, 50.335882, 60.214041, 62.964766, 109.626483]]
### 4
fourier: [[50.749918, 53.584987, 53.786210, 57.703212, 57.795190, 66.896303, 71.618651, 83.978756, 85.411379, 185.765686], [15.872358, 16.232918, 17.127530, 17.408434, 18.339286, 19.823552, 20.018851, 25.601089, 26.802423, 96.019450], [37.062867, 41.034458, 41.986146, 42.652645, 43.024562, 43.087850, 44.071240, 53.680674, 61.576240, 419.296367], [20.508014, 21.257657, 21.370008, 22.865705, 25.908598, 26.551357, 27.890184, 28.347954, 29.596914, 240.273479], [38.450354, 39.556799, 41.687131, 42.757285, 44.779598, 44.994700, 45.753140, 52.550390, 61.627160, 492.183158]]
### 6
fourier: [[10.059874, 10.330086, 10.951068, 11.158795, 12.109080, 12.445592, 12.558577, 16.344500, 17.233866, 26.554390], [33.071232, 33.270203, 34.860325, 35.803433, 36.918952, 38.603074, 42.388290, 52.079448, 55.316082, 293.153424], [34.421732, 34.851313, 36.522212, 37.915129, 38.396891, 40.684277, 43.433430, 54.000003, 57.616835, 326.706944], [35.159906, 35.172682, 37.030604, 38.013891, 39.104497, 41.031218, 45.103513, 55.152278, 58.245187, 297.106183], [39.844364, 39.894697, 42.234632, 43.675839, 44.129163, 46.778589, 51.000141, 62.825915, 66.306858, 353.133061]]
### 8
fourier: [[74.907483, 75.127225, 78.292598, 80.252285, 84.196830, 87.599048, 96.385102, 117.587973, 124.368952, 553.386233], [58.201315, 58.800732, 61.177800, 63.508384, 64.256154, 68.435789, 75.208192, 92.272757, 96.637323, 446.114829], [77.692347, 77.827316, 81.275169, 83.269568, 87.488370, 91.185533, 100.066448, 122.131002, 129.012772, 620.123207], [38.667200, 39.224644, 40.636108, 41.981252, 42.615558, 45.517700, 50.145721, 61.781790, 64.170331, 387.688308], [110.848765, 111.549883, 116.130572, 119.905493, 123.310215, 130.109666, 143.052272, 175.092953, 184.025061, 971.710334]]
### 10
fourier: [[104.149602, 106.526786, 111.230714, 111.949254, 117.797018, 121.519677, 134.949351, 166.370068, 174.121771, 866.589807], [69.169729, 70.520958, 73.022469, 75.176751, 76.666775, 80.979555, 89.292705, 109.869142, 114.942956, 800.841004], [130.213614, 132.734880, 139.311657, 140.336924, 145.966924, 152.100705, 168.610457, 207.452673, 217.472380, 1092.874180], [117.089151, 118.377638, 122.958583, 127.369745, 129.595665, 137.456736, 151.495110, 185.364985, 194.543051, 848.938739], [157.190151, 159.619780, 165.959063, 171.992707, 173.023958, 184.323956, 203.461361, 249.639982, 261.435098, 1312.801204]]
### 12
fourier: [[358.698465, 369.790370, 379.739326, 388.043855, 400.973973, 420.232180, 465.897510, 570.741957, 597.088919, 2978.333895]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.113826,
-0.092512,
-0.194898
],
[
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-0.180212,
-0.181413,
0.02518
],
[
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0.503465
],
[
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0.04746,
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## Activation Signature
### 0
fourier: [[39.831986, 40.052293, 46.207593, 46.901185, 47.838756, 48.515894, 50.148917, 51.898379, 56.062095, 292.814531], [28.739054, 35.102598, 38.923524, 40.384718, 42.765410, 43.908891, 46.692575, 47.389695, 52.599353, 73.223162], [34.344965, 34.739544, 35.231036, 38.420493, 38.455490, 39.156673, 45.182265, 51.352916, 56.295996, 140.296418], [22.103656, 22.251270, 22.258633, 23.069823, 23.647951, 31.301115, 31.769290, 33.308063, 37.010083, 135.968049], [20.967734, 22.147908, 25.009071, 26.247830, 26.645440, 29.488921, 29.889999, 31.849372, 36.147672, 36.508159]]
### 2
fourier: [[24.226743, 24.332307, 28.726520, 30.729218, 32.707908, 36.327150, 36.769769, 37.042732, 39.003762, 229.081886], [34.515770, 36.875180, 39.910177, 41.313043, 42.479076, 46.519305, 52.169513, 58.777847, 60.168528, 65.773289], [24.445204, 24.533620, 24.832116, 28.827786, 33.139874, 33.184688, 34.575694, 38.659828, 41.748124, 43.137098], [35.610493, 37.103708, 41.676900, 41.917260, 43.123299, 49.793209, 53.127981, 60.812395, 62.441693, 64.419566], [36.776420, 37.626063, 37.920679, 40.179007, 40.618845, 47.316582, 50.335882, 60.214041, 62.964766, 109.626483]]
### 4
fourier: [[50.749918, 53.584987, 53.786210, 57.703212, 57.795190, 66.896303, 71.618651, 83.978756, 85.411379, 185.765686], [15.872358, 16.232918, 17.127530, 17.408434, 18.339286, 19.823552, 20.018851, 25.601089, 26.802423, 96.019450], [37.062867, 41.034458, 41.986146, 42.652645, 43.024562, 43.087850, 44.071240, 53.680674, 61.576240, 419.296367], [20.508014, 21.257657, 21.370008, 22.865705, 25.908598, 26.551357, 27.890184, 28.347954, 29.596914, 240.273479], [38.450354, 39.556799, 41.687131, 42.757285, 44.779598, 44.994700, 45.753140, 52.550390, 61.627160, 492.183158]]
### 6
fourier: [[10.059874, 10.330086, 10.951068, 11.158795, 12.109080, 12.445592, 12.558577, 16.344500, 17.233866, 26.554390], [33.071232, 33.270203, 34.860325, 35.803433, 36.918952, 38.603074, 42.388290, 52.079448, 55.316082, 293.153424], [34.421732, 34.851313, 36.522212, 37.915129, 38.396891, 40.684277, 43.433430, 54.000003, 57.616835, 326.706944], [35.159906, 35.172682, 37.030604, 38.013891, 39.104497, 41.031218, 45.103513, 55.152278, 58.245187, 297.106183], [39.844364, 39.894697, 42.234632, 43.675839, 44.129163, 46.778589, 51.000141, 62.825915, 66.306858, 353.133061]]
### 8
fourier: [[74.907483, 75.127225, 78.292598, 80.252285, 84.196830, 87.599048, 96.385102, 117.587973, 124.368952, 553.386233], [58.201315, 58.800732, 61.177800, 63.508384, 64.256154, 68.435789, 75.208192, 92.272757, 96.637323, 446.114829], [77.692347, 77.827316, 81.275169, 83.269568, 87.488370, 91.185533, 100.066448, 122.131002, 129.012772, 620.123207], [38.667200, 39.224644, 40.636108, 41.981252, 42.615558, 45.517700, 50.145721, 61.781790, 64.170331, 387.688308], [110.848765, 111.549883, 116.130572, 119.905493, 123.310215, 130.109666, 143.052272, 175.092953, 184.025061, 971.710334]]
### 10
fourier: [[104.149602, 106.526786, 111.230714, 111.949254, 117.797018, 121.519677, 134.949351, 166.370068, 174.121771, 866.589807], [69.169729, 70.520958, 73.022469, 75.176751, 76.666775, 80.979555, 89.292705, 109.869142, 114.942956, 800.841004], [130.213614, 132.734880, 139.311657, 140.336924, 145.966924, 152.100705, 168.610457, 207.452673, 217.472380, 1092.874180], [117.089151, 118.377638, 122.958583, 127.369745, 129.595665, 137.456736, 151.495110, 185.364985, 194.543051, 848.938739], [157.190151, 159.619780, 165.959063, 171.992707, 173.023958, 184.323956, 203.461361, 249.639982, 261.435098, 1312.801204]]
### 12
fourier: [[358.698465, 369.790370, 379.739326, 388.043855, 400.973973, 420.232180, 465.897510, 570.741957, 597.088919, 2978.333895]]
## 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.126968, -0.590897, -0.113826, -0.092512, -0.194898], [1.243816, 0.19583, -0.180212, -0.181413, 0.02518], [-1.134249, 0.212405, 0.080995, 0.684116, 0.503465], [-0.586783, -0.226321, 0.04746, -0.018985, -0.510449], [0.944524, 0.053415, -0.356294, -0.099117, -0.071477]], "network.0.bias": [-0.09777, -0.356697, 0.326131, 0.202997, -0.087219], "network.2.weight": [[-0.743475, -0.674077, -0.473109, -0.831324, -0.488573], [1.021806, 0.449059, -0.678574, 0.161196, 0.637685], [0.141361, 0.43963, -0.349509, 0.153496, 0.450426], [-0.620524, -0.957496, 0.718876, 0.387812, 0.160024], [-0.812039, -0.801334, 0.966038, 0.012768, 0.252155]], "network.2.bias": [-0.510606, -0.243099, -0.326427, 0.253226, -0.019584], "network.4.weight": [[-0.222759, -0.692168, -0.716214, 0.731886, 0.637376], [-0.04113, 0.372873, -0.138401, -0.149782, -0.380346], [0.75994, -0.999429, -0.27878, -0.802105, -1.116624], [0.299189, -0.525149, 0.258471, -0.505638, -0.559681], [0.328689, -0.75229, -0.48136, -1.104589, -0.919148]], "network.4.bias": [0.709944, -0.318579, -0.090642, -0.467732, -0.894472], "network.6.weight": [[0.294599, -0.337444, -0.37227, 0.316286, -0.237984], [1.018821, -0.19561, 0.381577, -0.179186, -0.613129], [-1.069639, 0.219282, 0.782746, 0.196238, 0.55402], [1.080454, -0.180427, -0.030168, -0.341617, 0.376924], [1.212235, -0.382976, 0.021348, -0.138271, 0.176801]], "network.6.bias": [-0.576256, 0.169049, -0.348306, 0.027906, 0.273024], "network.8.weight": [[-0.981839, -0.97017, -1.322716, -0.431583, -0.498729], [-0.145141, 0.249845, 0.289603, 0.42105, 0.902559], [-0.67984, -0.37358, -0.301191, -1.198771, -0.460062], [-0.665618, 0.488097, -0.069796, 0.267124, 0.444773], [0.190984, 0.968917, 0.681655, 1.123947, 0.940436]], "network.8.bias": [0.688362, -0.692259, 0.313651, 0.373844, 0.246649], "network.10.weight": [[-1.154155, 0.023276, -0.911408, 0.501992, 0.705803], [-0.674024, 1.590003, -0.037309, -0.905678, -1.125725], [-1.214762, 0.244828, -1.152673, 0.311985, 0.891232], [0.804434, -1.230964, 0.280773, 0.297387, -0.510766], [-0.812137, 0.566043, -0.4289, 0.497529, 0.925008]], "network.10.bias": [0.067076, -0.849959, 0.298299, 0.872492, -0.177888], "network.12.weight": [[-0.805784, -0.545674, -0.952304, 0.777149, -0.972189]], "network.12.bias": [0.467267]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.702202171087265, "train_acc": 0.46, "val_loss": 0.711014986038208, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6759582161903381, "train_acc": 0.58, "val_loss": 0.6855980753898621, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5641117841005325, "train_acc": 0.58, "val_loss": 0.4955715239048004, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5684799551963806, "train_acc": 0.56, "val_loss": 0.48426610231399536, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.39072152972221375, "train_acc": 0.875, "val_loss": 0.2939009368419647, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.2721462547779083, "train_acc": 0.91, "val_loss": 0.2430591583251953, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.2470179796218872, "train_acc": 0.915, "val_loss": 0.23985189199447632, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2589118853211403, "train_acc": 0.92, "val_loss": 0.2504253387451172, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2497943937778473, "train_acc": 0.92, "val_loss": 0.19758620858192444, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.21510889381170273, "train_acc": 0.925, "val_loss": 0.21880315244197845, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2563667893409729, "train_acc": 0.92, "val_loss": 0.22981873154640198, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23041605204343796, "train_acc": 0.92, "val_loss": 0.3083978593349457, "val_acc": 0.92}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.711014986038208, "final_val_loss": 0.4955715239048004, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.48426610231399536, "final_val_loss": 0.3083978593349457, "initial_val_acc": 0.84, "final_val_acc": 0.92, "best_val_acc": 0.94, "best_epoch": 8}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
326
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3358, "learning_rate": 0.06992621951520829, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[31.237808, 31.308760, 31.735367, 32.012253, 32.760802, 34.515526, 39.883224, 42.604556, 43.817973, 226.471963], [19.532563, 20.209794, 20.573760, 21.778538, 22.118522, 22.840838, 28.137941, 29.335092, 32.922415, 38.232312], [22.895448, 23.484397, 23.787963, 25.479220, 27.677472, 28.973325, 31.505229, 35.110193, 46.177843, 78.774828], [26.284766, 27.192651, 27.449597, 28.660606, 30.230698, 31.049606, 32.620222, 35.245870, 39.998531, 47.838862], [26.535278, 27.681305, 28.012643, 30.965408, 31.493236, 32.404109, 33.562301, 33.732951, 34.954642, 112.069228], [30.835147, 30.848307, 33.149981, 35.340622, 36.036720, 37.623685, 39.208552, 40.879532, 54.569989, 55.225260]]
### 2
fourier: [[3.798369, 3.877518, 4.066527, 4.196616, 4.236732, 4.632504, 5.730692, 6.546823, 7.207173, 21.794313], [19.706085, 21.327610, 23.624304, 23.979789, 24.279009, 25.732954, 26.997623, 30.148410, 41.723862, 78.502285], [40.871804, 46.014307, 48.118301, 48.790984, 51.118800, 52.800109, 53.139016, 54.708508, 80.879054, 230.760096], [45.933071, 54.694823, 57.561070, 57.769487, 58.373485, 60.372713, 65.256289, 65.999035, 93.956444, 266.953954], [30.708001, 32.691407, 35.841319, 38.057055, 40.010693, 43.560372, 44.777806, 46.396592, 58.331011, 118.438998], [23.469120, 25.379225, 25.867485, 26.885233, 28.033266, 33.132810, 33.392822, 33.533436, 43.873891, 130.655287]]
### 4
fourier: [[24.047658, 29.352473, 29.494655, 29.768575, 29.945010, 31.465541, 33.682541, 33.689218, 49.018284, 154.095588], [16.532025, 20.375583, 20.551743, 21.148423, 23.076905, 24.741772, 26.752871, 26.931961, 31.928132, 98.929536], [50.255401, 59.029193, 65.540164, 66.710118, 66.716564, 70.476820, 76.803364, 78.162470, 105.549453, 277.684940], [71.196778, 85.681874, 91.278953, 91.987106, 94.111184, 94.184144, 105.153307, 106.912865, 147.579256, 397.965026], [69.624512, 84.265567, 89.870465, 90.022899, 92.001190, 92.738619, 103.341491, 104.413786, 145.364368, 409.002202], [33.072548, 38.480255, 43.358552, 45.432266, 45.919307, 46.099349, 50.162124, 52.256759, 69.735131, 250.820153]]
### 6
fourier: [[49.447133, 58.971493, 64.387735, 64.556293, 65.257651, 67.099865, 74.136129, 75.565509, 103.249063, 310.770957], [104.656322, 126.415139, 134.891278, 135.136929, 138.400995, 138.999156, 155.063025, 157.058656, 217.934910, 622.804595], [6.749690, 7.478291, 8.490046, 8.611100, 8.705662, 9.190660, 9.900074, 10.352354, 13.449127, 61.720143], [55.801082, 66.623191, 72.789339, 72.802301, 73.574592, 75.807838, 83.708595, 85.198387, 116.694937, 360.018011], [122.434487, 146.580573, 159.136401, 159.347048, 161.607507, 165.288235, 183.058952, 186.160411, 255.650457, 705.749840], [58.989050, 71.305429, 75.848602, 76.064577, 78.035072, 78.067193, 87.203614, 88.339238, 122.680754, 319.257579]]
### 8
fourier: [[1.501267, 1.728043, 1.884817, 1.993273, 2.003068, 2.111508, 2.285956, 2.291357, 3.105618, 67.735141], [57.357977, 68.614337, 74.800375, 74.867617, 75.596555, 77.753733, 86.012931, 87.363498, 119.891136, 340.421643], [26.487441, 31.845068, 33.827537, 33.950630, 35.000849, 35.237279, 38.990827, 39.908253, 55.008456, 160.374096], [86.077309, 103.228974, 111.093728, 111.342446, 113.977489, 115.202273, 127.896013, 130.400309, 179.341641, 474.287895], [32.573875, 39.107300, 41.848920, 41.967853, 43.220025, 43.353576, 48.203482, 49.229947, 67.771980, 220.903335], [75.510432, 90.438677, 97.983485, 98.134077, 99.744241, 101.731816, 112.734064, 114.713826, 157.588990, 425.946588]]
### 10
fourier: [[88.065549, 105.495321, 113.713070, 113.947790, 116.755713, 118.103424, 130.937030, 133.758275, 183.586176, 447.782091], [39.929511, 47.832720, 51.540786, 51.649857, 52.948628, 53.531545, 59.351213, 60.643965, 83.231946, 246.528282], [12.741342, 15.265540, 16.353828, 16.402707, 16.953233, 16.990068, 18.851289, 19.335718, 26.520569, 106.809008], [56.770924, 68.010303, 73.168198, 73.340153, 75.350191, 75.999613, 84.279089, 86.203614, 118.291180, 332.919302], [86.612130, 103.750902, 111.971708, 112.182072, 114.745261, 116.288588, 128.903911, 131.573461, 180.612505, 488.152814], [28.840229, 34.545760, 37.339816, 37.401510, 38.173964, 38.776911, 42.974876, 43.820801, 60.163586, 165.714989]]
### 12
fourier: [[35.716538, 44.022409, 47.532826, 47.773672, 47.867851, 49.186413, 54.613429, 54.709646, 76.013901, 151.154003]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.092999,
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],
[
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],
[
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],
[
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## Activation Signature
### 0
fourier: [[31.237808, 31.308760, 31.735367, 32.012253, 32.760802, 34.515526, 39.883224, 42.604556, 43.817973, 226.471963], [19.532563, 20.209794, 20.573760, 21.778538, 22.118522, 22.840838, 28.137941, 29.335092, 32.922415, 38.232312], [22.895448, 23.484397, 23.787963, 25.479220, 27.677472, 28.973325, 31.505229, 35.110193, 46.177843, 78.774828], [26.284766, 27.192651, 27.449597, 28.660606, 30.230698, 31.049606, 32.620222, 35.245870, 39.998531, 47.838862], [26.535278, 27.681305, 28.012643, 30.965408, 31.493236, 32.404109, 33.562301, 33.732951, 34.954642, 112.069228], [30.835147, 30.848307, 33.149981, 35.340622, 36.036720, 37.623685, 39.208552, 40.879532, 54.569989, 55.225260]]
### 2
fourier: [[3.798369, 3.877518, 4.066527, 4.196616, 4.236732, 4.632504, 5.730692, 6.546823, 7.207173, 21.794313], [19.706085, 21.327610, 23.624304, 23.979789, 24.279009, 25.732954, 26.997623, 30.148410, 41.723862, 78.502285], [40.871804, 46.014307, 48.118301, 48.790984, 51.118800, 52.800109, 53.139016, 54.708508, 80.879054, 230.760096], [45.933071, 54.694823, 57.561070, 57.769487, 58.373485, 60.372713, 65.256289, 65.999035, 93.956444, 266.953954], [30.708001, 32.691407, 35.841319, 38.057055, 40.010693, 43.560372, 44.777806, 46.396592, 58.331011, 118.438998], [23.469120, 25.379225, 25.867485, 26.885233, 28.033266, 33.132810, 33.392822, 33.533436, 43.873891, 130.655287]]
### 4
fourier: [[24.047658, 29.352473, 29.494655, 29.768575, 29.945010, 31.465541, 33.682541, 33.689218, 49.018284, 154.095588], [16.532025, 20.375583, 20.551743, 21.148423, 23.076905, 24.741772, 26.752871, 26.931961, 31.928132, 98.929536], [50.255401, 59.029193, 65.540164, 66.710118, 66.716564, 70.476820, 76.803364, 78.162470, 105.549453, 277.684940], [71.196778, 85.681874, 91.278953, 91.987106, 94.111184, 94.184144, 105.153307, 106.912865, 147.579256, 397.965026], [69.624512, 84.265567, 89.870465, 90.022899, 92.001190, 92.738619, 103.341491, 104.413786, 145.364368, 409.002202], [33.072548, 38.480255, 43.358552, 45.432266, 45.919307, 46.099349, 50.162124, 52.256759, 69.735131, 250.820153]]
### 6
fourier: [[49.447133, 58.971493, 64.387735, 64.556293, 65.257651, 67.099865, 74.136129, 75.565509, 103.249063, 310.770957], [104.656322, 126.415139, 134.891278, 135.136929, 138.400995, 138.999156, 155.063025, 157.058656, 217.934910, 622.804595], [6.749690, 7.478291, 8.490046, 8.611100, 8.705662, 9.190660, 9.900074, 10.352354, 13.449127, 61.720143], [55.801082, 66.623191, 72.789339, 72.802301, 73.574592, 75.807838, 83.708595, 85.198387, 116.694937, 360.018011], [122.434487, 146.580573, 159.136401, 159.347048, 161.607507, 165.288235, 183.058952, 186.160411, 255.650457, 705.749840], [58.989050, 71.305429, 75.848602, 76.064577, 78.035072, 78.067193, 87.203614, 88.339238, 122.680754, 319.257579]]
### 8
fourier: [[1.501267, 1.728043, 1.884817, 1.993273, 2.003068, 2.111508, 2.285956, 2.291357, 3.105618, 67.735141], [57.357977, 68.614337, 74.800375, 74.867617, 75.596555, 77.753733, 86.012931, 87.363498, 119.891136, 340.421643], [26.487441, 31.845068, 33.827537, 33.950630, 35.000849, 35.237279, 38.990827, 39.908253, 55.008456, 160.374096], [86.077309, 103.228974, 111.093728, 111.342446, 113.977489, 115.202273, 127.896013, 130.400309, 179.341641, 474.287895], [32.573875, 39.107300, 41.848920, 41.967853, 43.220025, 43.353576, 48.203482, 49.229947, 67.771980, 220.903335], [75.510432, 90.438677, 97.983485, 98.134077, 99.744241, 101.731816, 112.734064, 114.713826, 157.588990, 425.946588]]
### 10
fourier: [[88.065549, 105.495321, 113.713070, 113.947790, 116.755713, 118.103424, 130.937030, 133.758275, 183.586176, 447.782091], [39.929511, 47.832720, 51.540786, 51.649857, 52.948628, 53.531545, 59.351213, 60.643965, 83.231946, 246.528282], [12.741342, 15.265540, 16.353828, 16.402707, 16.953233, 16.990068, 18.851289, 19.335718, 26.520569, 106.809008], [56.770924, 68.010303, 73.168198, 73.340153, 75.350191, 75.999613, 84.279089, 86.203614, 118.291180, 332.919302], [86.612130, 103.750902, 111.971708, 112.182072, 114.745261, 116.288588, 128.903911, 131.573461, 180.612505, 488.152814], [28.840229, 34.545760, 37.339816, 37.401510, 38.173964, 38.776911, 42.974876, 43.820801, 60.163586, 165.714989]]
### 12
fourier: [[35.716538, 44.022409, 47.532826, 47.773672, 47.867851, 49.186413, 54.613429, 54.709646, 76.013901, 151.154003]]
## 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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"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": [[0.559952, -0.990187, -0.025271, -0.531397, 0.023219], [0.704175, -0.79689, -0.043806, 0.092999, 0.178661], [0.87176, -0.694396, -0.066727, 0.033633, 0.249532], [0.871849, -0.264989, 0.047597, -0.621926, -0.038957], [0.352804, -0.785837, -0.38685, -0.239987, 0.522069], [1.100432, -0.32176, 0.37254, -0.40397, -0.423529]], "network.0.bias": [-0.24514, 0.560173, 0.815268, 0.317764, 0.42655, 0.067283], "network.2.weight": [[0.473429, 0.053937, -0.099516, -0.593309, -0.314587, 0.479634], [-0.433592, -0.497533, -0.480201, 0.491874, 0.546097, -0.634669], [0.430833, 0.901346, 0.781556, 0.095286, 0.860008, 0.497694], [0.410028, 0.298528, 1.090864, -0.043931, 0.648845, 1.040778], [-0.358785, 0.16425, -0.017497, 0.555835, 0.044731, 1.017259], [-0.401098, -0.362606, -0.074901, -0.676675, -0.633894, -0.177138]], "network.2.bias": [-0.246766, 0.367061, -0.04537, 0.015906, -0.292866, -0.152667], "network.4.weight": [[-0.076893, 0.016484, -0.155935, -0.403612, 0.029774, -0.386972], [-0.849337, 0.076415, 0.172442, -0.120865, -0.593636, -0.153437], [-0.000564, -1.031194, 0.248748, 0.353535, 0.884978, 0.169222], [0.481078, -0.217436, 0.571212, 0.564326, 0.852087, 0.431755], [0.48027, -0.775016, 0.519966, 0.641336, 0.724076, -0.050339], [-0.543336, -0.394776, 0.092877, -0.577502, -0.42348, -0.536606]], "network.4.bias": [-0.154109, -0.295128, 0.265103, 0.058715, 0.341473, -0.623058], "network.6.weight": [[-0.156917, -0.281941, -0.419374, -0.307987, -0.094619, 0.156585], [-0.024675, -0.188178, 0.001543, -0.55628, -0.935809, -0.191199], [0.114136, -0.319536, -0.173356, -0.256126, 0.292749, -0.344239], [0.160913, 0.045879, -0.464182, -0.149809, -0.315235, 0.569631], [0.078267, 0.275401, 0.759648, 0.539945, 0.661696, -0.425814], [-0.279815, -0.022842, -0.063244, 0.410996, 0.472544, 0.040461]], "network.6.bias": [-0.356563, -0.210845, -0.343904, -0.461911, 0.084146, -0.221894], "network.8.weight": [[0.484558, -0.172491, 0.028772, 0.108491, -0.044506, 0.067978], [0.077945, -0.28076, -0.002405, -0.598226, -0.547608, 0.165196], [0.301535, 0.064842, 0.231192, 0.297712, -0.025266, -0.398896], [0.052521, -0.004257, -0.169079, 0.534638, 0.452412, 0.523244], [0.526547, -0.108176, -0.111014, 0.013668, -0.11012, -0.325531], [-0.524471, -0.662639, -0.39168, -0.395378, 0.564954, 0.108116]], "network.8.bias": [-0.647928, -0.082037, -0.150133, -0.158393, -0.420961, -0.086018], "network.10.weight": [[0.322553, 0.090599, -0.365815, -0.640228, -0.191106, -0.438525], [-0.352472, -0.209415, -0.011784, -0.310133, -0.235879, -0.176249], [-0.324146, -0.380937, 0.091509, -0.204123, 0.038519, 0.063394], [-0.312239, 0.023249, -0.338072, -0.567409, -0.098325, -0.106713], [-0.177703, 0.233107, -0.395748, 0.476011, 0.420834, 0.606085], [-0.237073, 0.005243, 0.18147, 0.095693, -0.065556, 0.273269]], "network.10.bias": [0.49038, -0.262858, -0.406408, -0.190113, 0.034022, 0.040669], "network.12.weight": [[0.455252, 0.061602, -0.392427, -0.276566, -0.366643, -0.139562]], "network.12.bias": [0.499478]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7243224084377289, "train_acc": 0.445, "val_loss": 0.68607497215271, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6892061233520508, "train_acc": 0.565, "val_loss": 0.6791995167732239, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6780819296836853, "train_acc": 0.555, "val_loss": 0.6787896752357483, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6746205985546112, "train_acc": 0.555, "val_loss": 0.6590074896812439, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6401991546154022, "train_acc": 0.555, "val_loss": 0.6383689641952515, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6600650250911713, "train_acc": 0.6, "val_loss": 0.6888789534568787, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6489732563495636, "train_acc": 0.645, "val_loss": 0.676177978515625, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.6172626316547394, "train_acc": 0.62, "val_loss": 0.7426655292510986, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5938675701618195, "train_acc": 0.665, "val_loss": 0.8102368712425232, "val_acc": 0.64}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.559489980340004, "train_acc": 0.725, "val_loss": 0.7405931353569031, "val_acc": 0.74}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.68607497215271, "final_val_loss": 0.6383689641952515, "initial_val_acc": 0.6, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.6888789534568787, "final_val_loss": 0.7405931353569031, "initial_val_acc": 0.52, "final_val_acc": 0.74, "best_val_acc": 0.74, "best_epoch": 9}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
327
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6300, "learning_rate": 0.05636140601997725, "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:
{
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}
## Activation Signature
### 0
fourier: [[25.370471, 27.982437, 30.975050, 31.811296, 33.213515, 33.675801, 34.852916, 38.746683, 48.729145, 109.578803], [28.883363, 30.016714, 31.072479, 34.406864, 41.567627, 44.747421, 45.101931, 47.700978, 58.476680, 183.541199], [19.026801, 19.198274, 20.540386, 21.614657, 25.131402, 25.213881, 25.290481, 31.571260, 31.841975, 93.722223], [27.719087, 30.205178, 30.898969, 34.542471, 38.834728, 40.394961, 41.250136, 52.270970, 56.868255, 182.461818], [13.045986, 13.682747, 13.868471, 14.783609, 15.634072, 16.883173, 17.507521, 17.550858, 18.424314, 177.385679]]
### 2
fourier: [[35.470538, 36.725109, 36.797418, 48.623822, 52.686373, 58.094274, 62.631569, 74.690656, 80.009589, 223.145245], [18.529157, 18.830408, 19.330621, 24.523755, 27.556515, 30.641072, 32.657612, 37.984643, 41.763498, 166.101363], [22.240436, 22.642986, 23.698406, 31.499408, 32.668532, 35.098246, 37.748952, 47.797891, 48.851797, 196.973409], [44.241440, 45.327163, 47.413334, 56.178873, 63.114673, 71.723404, 77.893639, 86.372189, 98.701229, 292.946587], [43.941083, 45.014698, 46.478895, 59.412139, 65.004565, 72.351077, 78.275496, 91.282936, 99.666277, 342.518461]]
### 4
fourier: [[22.450473, 22.891343, 23.838932, 30.799544, 33.539542, 37.195754, 39.947943, 47.536597, 50.963555, 222.984697], [10.878896, 10.917679, 11.279285, 15.434576, 16.226631, 17.387178, 18.482268, 23.849386, 23.991722, 131.181846], [80.060651, 80.325033, 86.869215, 108.852587, 119.714710, 133.787187, 143.156845, 167.899675, 182.418507, 560.460959], [6.858265, 6.883500, 7.060198, 9.635004, 10.238057, 11.081359, 11.808697, 14.948461, 15.182804, 98.168660], [6.898516, 6.900118, 7.091092, 7.116230, 9.746571, 10.331865, 11.144404, 11.834074, 15.138752, 15.239997]]
### 6
fourier: [[67.726340, 68.177757, 74.114302, 92.788376, 102.344716, 113.514978, 120.744239, 143.756090, 153.618636, 510.495122], [31.097930, 31.217301, 33.870008, 42.667193, 46.723348, 52.311247, 55.515300, 65.729326, 71.050269, 257.161342], [59.894283, 60.069896, 65.260889, 82.188047, 90.031049, 100.754931, 106.937532, 126.645158, 136.824531, 365.131532], [23.730903, 24.313912, 25.974668, 32.129436, 35.936945, 39.143304, 41.815195, 50.307196, 52.606656, 208.287926], [39.190269, 39.639064, 42.888604, 53.527566, 59.254916, 65.413328, 69.658040, 83.162121, 88.362861, 313.134407]]
### 8
fourier: [[28.604018, 28.629845, 30.476685, 39.171500, 42.995500, 47.347446, 50.275210, 61.089440, 63.760835, 121.059017]]
## 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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],
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],
[
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],
[
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[25.370471, 27.982437, 30.975050, 31.811296, 33.213515, 33.675801, 34.852916, 38.746683, 48.729145, 109.578803], [28.883363, 30.016714, 31.072479, 34.406864, 41.567627, 44.747421, 45.101931, 47.700978, 58.476680, 183.541199], [19.026801, 19.198274, 20.540386, 21.614657, 25.131402, 25.213881, 25.290481, 31.571260, 31.841975, 93.722223], [27.719087, 30.205178, 30.898969, 34.542471, 38.834728, 40.394961, 41.250136, 52.270970, 56.868255, 182.461818], [13.045986, 13.682747, 13.868471, 14.783609, 15.634072, 16.883173, 17.507521, 17.550858, 18.424314, 177.385679]]
### 2
fourier: [[35.470538, 36.725109, 36.797418, 48.623822, 52.686373, 58.094274, 62.631569, 74.690656, 80.009589, 223.145245], [18.529157, 18.830408, 19.330621, 24.523755, 27.556515, 30.641072, 32.657612, 37.984643, 41.763498, 166.101363], [22.240436, 22.642986, 23.698406, 31.499408, 32.668532, 35.098246, 37.748952, 47.797891, 48.851797, 196.973409], [44.241440, 45.327163, 47.413334, 56.178873, 63.114673, 71.723404, 77.893639, 86.372189, 98.701229, 292.946587], [43.941083, 45.014698, 46.478895, 59.412139, 65.004565, 72.351077, 78.275496, 91.282936, 99.666277, 342.518461]]
### 4
fourier: [[22.450473, 22.891343, 23.838932, 30.799544, 33.539542, 37.195754, 39.947943, 47.536597, 50.963555, 222.984697], [10.878896, 10.917679, 11.279285, 15.434576, 16.226631, 17.387178, 18.482268, 23.849386, 23.991722, 131.181846], [80.060651, 80.325033, 86.869215, 108.852587, 119.714710, 133.787187, 143.156845, 167.899675, 182.418507, 560.460959], [6.858265, 6.883500, 7.060198, 9.635004, 10.238057, 11.081359, 11.808697, 14.948461, 15.182804, 98.168660], [6.898516, 6.900118, 7.091092, 7.116230, 9.746571, 10.331865, 11.144404, 11.834074, 15.138752, 15.239997]]
### 6
fourier: [[67.726340, 68.177757, 74.114302, 92.788376, 102.344716, 113.514978, 120.744239, 143.756090, 153.618636, 510.495122], [31.097930, 31.217301, 33.870008, 42.667193, 46.723348, 52.311247, 55.515300, 65.729326, 71.050269, 257.161342], [59.894283, 60.069896, 65.260889, 82.188047, 90.031049, 100.754931, 106.937532, 126.645158, 136.824531, 365.131532], [23.730903, 24.313912, 25.974668, 32.129436, 35.936945, 39.143304, 41.815195, 50.307196, 52.606656, 208.287926], [39.190269, 39.639064, 42.888604, 53.527566, 59.254916, 65.413328, 69.658040, 83.162121, 88.362861, 313.134407]]
### 8
fourier: [[28.604018, 28.629845, 30.476685, 39.171500, 42.995500, 47.347446, 50.275210, 61.089440, 63.760835, 121.059017]]
## 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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63.11467332553921, 71.72340352843952, 77.89363921492468, 86.37218912346401, 98.70122889239674, 292.94658678770065]}, "4": {"fourier": [43.9410826272793, 45.014698162364496, 46.47889542781793, 59.41213851970477, 65.00456543764885, 72.35107691639479, 78.27549617770494, 91.28293631047183, 99.6662767864224, 342.5184608735144]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [22.45047318381165, 22.891342654666982, 23.838932040340243, 30.799543795325643, 33.539541964953564, 37.195754314148665, 39.94794331986742, 47.53659738944872, 50.963555486948955, 222.98469710350037]}, "1": {"fourier": [10.87889589901151, 10.917678698875948, 11.27928466992905, 15.4345762578983, 16.226630702576607, 17.3871775605565, 18.482268410966558, 23.84938598964445, 23.99172242530678, 131.18184614181519]}, "2": {"fourier": [80.06065065259156, 80.32503329354059, 86.86921493181104, 108.852587255317, 119.7147100899458, 133.7871865515162, 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121.05901655554771]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.924297, -0.186165, -0.253507, 0.30327, 0.539625], [0.940131, -0.077111, -0.234231, 0.072649, 0.864579], [0.349514, -0.228361, -0.185724, 0.306155, 0.661077], [0.439137, -0.155587, -0.198665, 0.303627, 1.201042], [0.085741, -0.219545, -0.372172, -0.177291, -0.13135]], "network.0.bias": [-0.379795, 0.277096, -0.061372, 0.046981, -0.357978], "network.2.weight": [[0.139682, 0.558256, 0.403081, 0.603593, 0.312472], [-0.009715, -0.403476, -0.397702, -0.137756, -0.090229], [0.124482, -0.401112, -0.438543, -0.367886, 0.42101], [0.769985, 0.411234, 0.311137, 0.646689, -0.444244], [0.389998, 0.581898, 0.386558, 0.759353, -0.416476]], "network.2.bias": [-0.671742, -0.207898, -0.218266, -0.496056, -0.075298], "network.4.weight": [[-0.19942, -0.307331, 0.064964, -0.015657, -0.345121], [-0.372523, 0.165046, -0.507011, 0.27445, -0.219181], [0.565686, -0.14479, 0.376713, 0.820069, 0.613864], [-0.187362, 0.246265, 0.177834, 0.11595, -0.121112], [-0.217782, 0.390034, -0.054203, 0.121717, -0.104012]], "network.4.bias": [-0.580468, -0.560218, -0.377406, -0.523499, 0.484148], "network.6.weight": [[-0.059942, -0.424696, -0.866339, -0.175067, -0.442546], [-0.278627, -0.142687, -0.390149, 0.060442, 0.167278], [0.095459, -0.129467, 0.75226, -0.239995, -0.289204], [-0.009885, -0.189969, 0.311707, 0.38374, 0.683535], [0.039984, 0.396697, -0.504897, 0.006781, -0.486779]], "network.6.bias": [-0.089374, -0.427648, -0.635458, 0.184823, -0.172917], "network.8.weight": [[-0.074032, 0.26373, -0.587979, 0.239884, -0.187486]], "network.8.bias": [0.660717]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7349865138530731, "train_acc": 0.43, "val_loss": 0.6905427575111389, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7315305769443512, "train_acc": 0.505, "val_loss": 0.7080735564231873, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6767517924308777, "train_acc": 0.585, "val_loss": 0.6765585541725159, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6656820476055145, "train_acc": 0.61, "val_loss": 0.6643359661102295, "val_acc": 0.58}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.653906375169754, "train_acc": 0.59, "val_loss": 0.6482206583023071, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6120164394378662, "train_acc": 0.56, "val_loss": 0.5430451035499573, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48497582972049713, "train_acc": 0.805, "val_loss": 0.4570375084877014, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4523593932390213, "train_acc": 0.835, "val_loss": 0.4119240641593933, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.40292295813560486, "train_acc": 0.83, "val_loss": 0.402161568403244, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.38281913101673126, "train_acc": 0.86, "val_loss": 0.3835504949092865, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3661636412143707, "train_acc": 0.865, "val_loss": 0.3450383245944977, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.32718098163604736, "train_acc": 0.87, "val_loss": 0.3291700482368469, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.3254297375679016, "train_acc": 0.88, "val_loss": 0.3356270492076874, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.3077685832977295, "train_acc": 0.875, "val_loss": 0.32973602414131165, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.29067766666412354, "train_acc": 0.88, "val_loss": 0.3214467763900757, "val_acc": 0.88}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6905427575111389, "final_val_loss": 0.6482206583023071, "initial_val_acc": 0.52, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5430451035499573, "final_val_loss": 0.3214467763900757, "initial_val_acc": 0.82, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.44, "first_improvement_epoch": 4}}
|
328
|
{"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.82, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4455, "learning_rate": 0.0991820362680595, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[29.037981, 29.252003, 29.637784, 29.854763, 30.103608, 32.391389, 33.505608, 33.963733, 46.887939, 248.664753], [73.058263, 76.708196, 78.350961, 85.464812, 89.231684, 93.863241, 97.028460, 107.750185, 114.259796, 773.312977], [34.061154, 34.301495, 36.569624, 38.205397, 38.364970, 39.506694, 42.258060, 43.116410, 45.107743, 126.582141], [25.642150, 25.896391, 28.841399, 29.924661, 30.349718, 30.406689, 32.765300, 32.782756, 34.973742, 285.876747], [23.030259, 24.052159, 24.570271, 26.120144, 26.996259, 27.954467, 28.823291, 30.519540, 36.362834, 95.465486], [38.716795, 42.367849, 45.805251, 46.997755, 47.208236, 47.732553, 51.192552, 56.667642, 63.265476, 420.313097], [16.941226, 17.052342, 18.111985, 20.896223, 22.547587, 23.045369, 24.456212, 26.955088, 29.188771, 164.718027], [37.582185, 39.600384, 40.661969, 43.710335, 50.038604, 52.955599, 54.011323, 56.268674, 58.616821, 335.216394]]
### 2
fourier: [[9.692669, 10.816190, 11.379876, 11.522628, 13.040203, 13.174762, 13.226731, 13.458986, 14.323233, 14.472133], [19.580712, 22.193380, 22.502583, 24.130274, 25.610732, 26.293538, 26.511386, 26.798261, 26.888341, 26.969200], [11.510157, 12.250597, 13.201513, 14.341171, 14.671673, 14.769676, 14.907860, 15.523175, 15.807653, 47.262258], [10.153914, 11.794537, 11.884150, 12.647939, 13.350258, 13.884004, 14.707120, 15.474541, 16.586957, 25.462859], [9.137006, 9.472075, 9.832487, 10.561461, 11.247369, 11.413918, 11.512858, 11.825616, 12.676170, 12.731522], [14.190261, 14.672992, 15.242731, 15.339122, 15.873439, 16.486514, 18.856446, 19.243012, 25.539615, 70.613285], [5.153798, 5.656800, 5.918498, 5.996361, 6.076393, 6.309593, 6.732863, 7.760540, 12.295734, 72.541665], [5.446378, 5.462279, 5.766661, 5.803070, 5.810138, 6.037856, 7.198553, 7.505801, 7.811539, 9.003031]]
### 4
fourier: [[5.265928, 5.732912, 5.973976, 6.413395, 6.932003, 7.145842, 7.432858, 8.007033, 8.111007, 59.903859], [8.247048, 8.610733, 9.297752, 9.320282, 9.551744, 9.910777, 9.926849, 10.237103, 12.233091, 19.636251], [34.223804, 36.116760, 36.686225, 38.827575, 41.446668, 42.514350, 43.271702, 44.110743, 44.470954, 227.596409], [23.054404, 23.571396, 28.346768, 28.867328, 29.933781, 30.725619, 30.810384, 32.379706, 32.686224, 96.571936], [23.074889, 23.617971, 23.710272, 24.320316, 24.427185, 27.995046, 30.694309, 30.924204, 32.015394, 99.482649], [12.807091, 12.827574, 15.732145, 15.890307, 16.341169, 16.999895, 17.389770, 17.845587, 18.091052, 79.095231], [21.468888, 23.094847, 27.796576, 27.939185, 28.009328, 29.569281, 29.755474, 30.805145, 31.288306, 201.518251], [23.751405, 25.576435, 27.706119, 29.001090, 30.901465, 31.064865, 31.720677, 32.873281, 34.297679, 90.881678]]
### 6
fourier: [[20.236133, 23.057649, 24.278221, 25.226203, 25.975506, 29.619056, 30.366802, 30.425687, 30.725096, 182.541632], [38.937628, 40.433433, 45.347186, 45.655252, 47.692969, 48.066464, 49.127591, 51.457664, 51.558384, 260.730226], [13.657830, 13.720155, 15.126121, 16.291417, 17.028683, 17.395388, 18.832826, 19.056717, 19.165949, 19.499846], [22.177458, 23.042211, 24.110107, 24.706288, 24.794238, 26.457512, 27.514929, 27.714175, 28.012714, 28.344881], [38.255146, 39.088802, 45.666942, 47.598560, 47.838533, 50.223931, 50.468656, 52.815751, 52.983543, 152.086730], [17.963122, 18.923507, 20.747810, 22.646248, 23.752542, 23.822350, 26.182761, 26.375305, 26.493415, 27.124968], [21.938991, 23.398663, 26.447183, 26.610491, 28.318818, 29.969541, 30.436789, 31.405943, 31.615857, 158.733735], [17.080280, 18.076943, 18.971835, 19.816842, 20.138938, 21.554080, 21.753297, 21.925750, 22.135228, 198.350561]]
### 8
fourier: [[24.232934, 26.497391, 27.497619, 27.589562, 28.433478, 30.520827, 32.621677, 33.175186, 33.784470, 34.088102]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[29.037981, 29.252003, 29.637784, 29.854763, 30.103608, 32.391389, 33.505608, 33.963733, 46.887939, 248.664753], [73.058263, 76.708196, 78.350961, 85.464812, 89.231684, 93.863241, 97.028460, 107.750185, 114.259796, 773.312977], [34.061154, 34.301495, 36.569624, 38.205397, 38.364970, 39.506694, 42.258060, 43.116410, 45.107743, 126.582141], [25.642150, 25.896391, 28.841399, 29.924661, 30.349718, 30.406689, 32.765300, 32.782756, 34.973742, 285.876747], [23.030259, 24.052159, 24.570271, 26.120144, 26.996259, 27.954467, 28.823291, 30.519540, 36.362834, 95.465486], [38.716795, 42.367849, 45.805251, 46.997755, 47.208236, 47.732553, 51.192552, 56.667642, 63.265476, 420.313097], [16.941226, 17.052342, 18.111985, 20.896223, 22.547587, 23.045369, 24.456212, 26.955088, 29.188771, 164.718027], [37.582185, 39.600384, 40.661969, 43.710335, 50.038604, 52.955599, 54.011323, 56.268674, 58.616821, 335.216394]]
### 2
fourier: [[9.692669, 10.816190, 11.379876, 11.522628, 13.040203, 13.174762, 13.226731, 13.458986, 14.323233, 14.472133], [19.580712, 22.193380, 22.502583, 24.130274, 25.610732, 26.293538, 26.511386, 26.798261, 26.888341, 26.969200], [11.510157, 12.250597, 13.201513, 14.341171, 14.671673, 14.769676, 14.907860, 15.523175, 15.807653, 47.262258], [10.153914, 11.794537, 11.884150, 12.647939, 13.350258, 13.884004, 14.707120, 15.474541, 16.586957, 25.462859], [9.137006, 9.472075, 9.832487, 10.561461, 11.247369, 11.413918, 11.512858, 11.825616, 12.676170, 12.731522], [14.190261, 14.672992, 15.242731, 15.339122, 15.873439, 16.486514, 18.856446, 19.243012, 25.539615, 70.613285], [5.153798, 5.656800, 5.918498, 5.996361, 6.076393, 6.309593, 6.732863, 7.760540, 12.295734, 72.541665], [5.446378, 5.462279, 5.766661, 5.803070, 5.810138, 6.037856, 7.198553, 7.505801, 7.811539, 9.003031]]
### 4
fourier: [[5.265928, 5.732912, 5.973976, 6.413395, 6.932003, 7.145842, 7.432858, 8.007033, 8.111007, 59.903859], [8.247048, 8.610733, 9.297752, 9.320282, 9.551744, 9.910777, 9.926849, 10.237103, 12.233091, 19.636251], [34.223804, 36.116760, 36.686225, 38.827575, 41.446668, 42.514350, 43.271702, 44.110743, 44.470954, 227.596409], [23.054404, 23.571396, 28.346768, 28.867328, 29.933781, 30.725619, 30.810384, 32.379706, 32.686224, 96.571936], [23.074889, 23.617971, 23.710272, 24.320316, 24.427185, 27.995046, 30.694309, 30.924204, 32.015394, 99.482649], [12.807091, 12.827574, 15.732145, 15.890307, 16.341169, 16.999895, 17.389770, 17.845587, 18.091052, 79.095231], [21.468888, 23.094847, 27.796576, 27.939185, 28.009328, 29.569281, 29.755474, 30.805145, 31.288306, 201.518251], [23.751405, 25.576435, 27.706119, 29.001090, 30.901465, 31.064865, 31.720677, 32.873281, 34.297679, 90.881678]]
### 6
fourier: [[20.236133, 23.057649, 24.278221, 25.226203, 25.975506, 29.619056, 30.366802, 30.425687, 30.725096, 182.541632], [38.937628, 40.433433, 45.347186, 45.655252, 47.692969, 48.066464, 49.127591, 51.457664, 51.558384, 260.730226], [13.657830, 13.720155, 15.126121, 16.291417, 17.028683, 17.395388, 18.832826, 19.056717, 19.165949, 19.499846], [22.177458, 23.042211, 24.110107, 24.706288, 24.794238, 26.457512, 27.514929, 27.714175, 28.012714, 28.344881], [38.255146, 39.088802, 45.666942, 47.598560, 47.838533, 50.223931, 50.468656, 52.815751, 52.983543, 152.086730], [17.963122, 18.923507, 20.747810, 22.646248, 23.752542, 23.822350, 26.182761, 26.375305, 26.493415, 27.124968], [21.938991, 23.398663, 26.447183, 26.610491, 28.318818, 29.969541, 30.436789, 31.405943, 31.615857, 158.733735], [17.080280, 18.076943, 18.971835, 19.816842, 20.138938, 21.554080, 21.753297, 21.925750, 22.135228, 198.350561]]
### 8
fourier: [[24.232934, 26.497391, 27.497619, 27.589562, 28.433478, 30.520827, 32.621677, 33.175186, 33.784470, 34.088102]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.042709, -0.435767, -0.923649, 0.09962, 0.032139], [-1.450465, -0.388393, -1.140487, -1.727396, 0.032505], [0.007808, 0.140278, 0.31827, -1.295707, 0.157726], [0.224723, 0.090261, -0.156067, -0.944474, -0.251283], [-0.350375, -0.559897, -0.168083, 0.351808, -0.426463], [-0.10378, -0.216604, -0.094457, -1.371389, -0.525295], [-0.047867, 0.697901, 0.135859, 0.097414, 0.150445], [-0.164814, 0.6492, -0.935984, -1.327514, -0.166366]], "network.0.bias": [-0.239597, -0.03304, 0.247411, -0.959243, 0.518197, -0.360252, -0.060204, 0.304621], "network.2.weight": [[0.289044, -0.216066, -0.4521, -0.445028, -0.303511, 0.43606, 0.434934, -0.677815], [0.749991, 0.026583, -1.252416, -0.345015, -1.23884, 0.542469, 0.68048, -0.658132], [1.122017, 0.703616, -0.517383, -0.198393, -0.409218, 0.584912, 0.456818, -0.555529], [-0.692639, 0.455366, 0.438574, 0.928902, 0.680995, -0.578746, -0.419735, -0.523104], [0.580383, 0.963915, -0.395652, -0.401838, -0.295446, 0.977214, 0.371467, -0.215563], [0.322198, 0.256618, -1.409816, 0.169791, -0.229725, 0.433088, 0.291543, -0.195159], [-0.81305, 0.99447, -0.276458, 0.205328, 0.489348, -0.359993, -0.166233, -0.002367], [-1.266049, -1.564814, 0.015249, -0.415539, 0.184017, -1.957431, 0.006406, 1.415495]], "network.2.bias": [-0.413465, -0.563854, 0.077253, 0.187236, -0.442074, -0.661349, -0.518392, -0.15988], "network.4.weight": [[0.166807, -0.103754, -0.422451, -0.859008, -0.223636, -0.334497, -0.170698, -0.100217], [0.621132, 0.521497, -0.114303, -0.897717, -0.714498, -0.193245, -0.600901, -0.181709], [-0.491239, -1.197487, -1.178383, 0.29193, -0.708012, -0.079448, 0.037503, -0.666342], [0.401036, 0.761947, 0.688081, -0.2007, 0.680232, 0.172878, 0.011014, -0.290572], [-0.79738, -0.341717, -0.866257, -0.763554, -0.582164, -0.008122, -1.033092, 0.778377], [-0.573074, -0.303353, -0.390115, 0.259068, -0.040373, -0.122218, -0.008595, 0.261607], [0.100245, -0.648004, -1.361224, -0.19113, -0.063532, -0.489633, 0.845932, 0.524765], [0.030078, 0.88093, 0.650356, -1.239798, 0.1257, 0.468492, -0.681019, -1.201104]], "network.4.bias": [-0.300069, -0.440558, -0.943482, 0.122441, -0.270647, -0.396899, -1.077947, 0.320259], "network.6.weight": [[0.562449, -0.369481, 0.768414, -0.651973, 1.638143, 0.548553, 0.596602, -0.212347], [0.143008, -0.15996, -0.407545, -1.077439, -0.084292, -0.23197, 0.006617, -0.608805], [-0.492572, 0.355892, 1.414014, -0.046221, -0.44567, 0.423335, -0.4249, 0.613175], [-0.306551, -0.550534, -1.802328, -0.478834, -0.534159, -0.081216, -0.769361, -0.325228], [0.249153, 0.409041, 0.398835, 0.893852, -0.589739, -0.75968, 0.293265, 0.756548], [0.201174, -0.363985, -1.234815, -0.091453, 0.516926, 0.545709, -0.194463, -0.701732], [0.224886, -0.222019, -0.431605, -0.730286, 1.017234, 0.627394, 0.529, -0.199756], [0.446357, 0.567805, 1.227424, -0.16009, -0.436469, 0.286995, -0.411929, -0.754445]], "network.6.bias": [-0.831464, -0.95186, -0.597579, 0.633465, -0.205084, 0.788426, -0.632073, -0.966101], "network.8.weight": [[0.214199, -0.833013, -0.314327, 0.607174, -0.436975, 0.274094, -0.088636, -0.736021]], "network.8.bias": [0.571843]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7236509025096893, "train_acc": 0.435, "val_loss": 0.693528950214386, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6894854307174683, "train_acc": 0.565, "val_loss": 0.6962753534317017, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6721700429916382, "train_acc": 0.565, "val_loss": 0.6912692189216614, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6614228785037994, "train_acc": 0.565, "val_loss": 0.5839477777481079, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6896549463272095, "train_acc": 0.505, "val_loss": 0.6443455219268799, "val_acc": 0.62}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6300445944070816, "train_acc": 0.62, "val_loss": 0.5276737213134766, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5595423877239227, "train_acc": 0.755, "val_loss": 0.4999871850013733, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4865456074476242, "train_acc": 0.81, "val_loss": 0.5115562677383423, "val_acc": 0.74}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.503439337015152, "train_acc": 0.74, "val_loss": 0.46620309352874756, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44247807562351227, "train_acc": 0.825, "val_loss": 0.4590564966201782, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.43435563147068024, "train_acc": 0.81, "val_loss": 0.42565613985061646, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4546774625778198, "train_acc": 0.815, "val_loss": 0.41864752769470215, "val_acc": 0.76}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.43059132993221283, "train_acc": 0.815, "val_loss": 0.40003684163093567, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3774384409189224, "train_acc": 0.83, "val_loss": 0.39949744939804077, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["has_majority"], "degraded_stage": {"initial_val_loss": 0.693528950214386, "final_val_loss": 0.5839477777481079, "initial_val_acc": 0.52, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6443455219268799, "final_val_loss": 0.39949744939804077, "initial_val_acc": 0.62, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 12}, "improvement": 0.21999999999999997, "first_improvement_epoch": 3}}
|
329
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.34, "improved_accuracy": 0.66, "improvement": 0.32, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1787, "learning_rate": 0.09989529585199687, "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: 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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],
[
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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: [[14.294651, 14.755235, 14.815760, 14.978828, 15.674465, 15.933946, 17.888373, 22.763183, 26.813677, 85.698406], [13.501925, 13.573146, 13.777435, 14.143453, 14.833407, 15.407107, 16.574084, 19.457268, 21.391050, 22.186154], [13.069210, 13.195242, 15.214795, 15.846415, 15.913302, 16.144050, 16.364137, 19.593001, 19.930902, 169.072984], [26.626590, 27.204905, 27.274106, 27.397650, 29.411113, 30.494379, 32.639146, 37.211643, 40.863517, 263.346874], [28.947727, 29.751744, 30.850912, 34.444592, 35.687237, 37.128671, 37.600500, 39.778247, 42.512383, 362.925679], [36.467565, 37.242802, 38.967697, 39.913241, 41.089589, 41.522155, 42.836178, 47.072387, 49.231449, 297.309643], [23.623457, 26.133166, 26.836069, 27.276153, 28.560718, 29.851562, 30.308922, 30.534353, 30.819682, 232.667706], [16.760954, 17.732178, 17.827137, 18.272379, 18.494449, 20.521998, 22.172963, 22.522368, 22.966875, 93.261828]]
### 2
fourier: [[1.266760, 1.268200, 1.415415, 1.453052, 1.454492, 1.486854, 1.522136, 1.529038, 2.110185, 19.380017], [2.225559, 2.379098, 2.423219, 2.529728, 2.638795, 2.692568, 2.745378, 3.223432, 3.257880, 51.420403], [7.069403, 7.212233, 7.464114, 7.804020, 7.963365, 8.170366, 9.039713, 9.140713, 10.552105, 37.897997], [4.754628, 4.796685, 4.807102, 5.560130, 5.824834, 6.222121, 6.240488, 6.436509, 6.871233, 64.041301], [3.118666, 3.226033, 3.420230, 3.436709, 3.523007, 3.858234, 3.894059, 4.641535, 4.739891, 74.231578], [3.167346, 3.405491, 3.685399, 3.871304, 4.069675, 4.200941, 4.445875, 4.970504, 5.362798, 34.928910], [5.117312, 5.580458, 5.701116, 6.082357, 6.092581, 6.389931, 6.397363, 6.662001, 6.895207, 26.870146], [4.953210, 4.988812, 4.993602, 5.656849, 5.813642, 5.892494, 6.259797, 6.651358, 7.441991, 60.944265]]
### 4
fourier: [[0.373464, 0.380850, 0.389363, 0.399240, 0.401331, 0.456948, 0.459398, 0.460384, 0.487483, 42.032441], [0.207359, 0.220814, 0.221549, 0.226546, 0.229012, 0.261942, 0.262363, 0.266583, 0.284788, 24.333334], [0.242626, 0.251923, 0.257826, 0.274923, 0.283697, 0.308405, 0.316389, 0.321137, 0.353370, 5.001888], [0.232048, 0.242341, 0.255850, 0.259741, 0.268318, 0.285679, 0.294183, 0.301812, 0.341321, 7.615188], [0.263458, 0.275729, 0.280316, 0.295491, 0.301964, 0.334383, 0.340412, 0.345933, 0.376294, 29.380051], [0.089942, 0.090712, 0.090938, 0.091757, 0.092239, 0.093860, 0.096719, 0.098348, 0.098573, 9.414161], [0.587428, 0.609233, 0.620918, 0.635245, 0.652196, 0.730719, 0.740739, 0.747013, 0.801339, 4.923409], [0.472157, 0.484244, 0.499192, 0.505938, 0.522063, 0.583026, 0.592475, 0.595375, 0.637897, 27.610452]]
### 6
fourier: [[0.334166, 0.344725, 0.354371, 0.357612, 0.367460, 0.413640, 0.418382, 0.421163, 0.449962, 41.671432], [0.290550, 0.296518, 0.303491, 0.310426, 0.312734, 0.355787, 0.357859, 0.358742, 0.380081, 37.561039], [0.066787, 0.066947, 0.069839, 0.074437, 0.076422, 0.083039, 0.085112, 0.086821, 0.096049, 30.103338], [0.332037, 0.341959, 0.352491, 0.354111, 0.363982, 0.410354, 0.414743, 0.417251, 0.445212, 18.337000], [0.370596, 0.380479, 0.392587, 0.394244, 0.403815, 0.456614, 0.460800, 0.463051, 0.492892, 34.742162], [0.208380, 0.216754, 0.219882, 0.226575, 0.232542, 0.259893, 0.263750, 0.266237, 0.286235, 18.036104], [0.207421, 0.215221, 0.219186, 0.224502, 0.230479, 0.258126, 0.261713, 0.263970, 0.283267, 51.082375], [0.010047, 0.010117, 0.010222, 0.010680, 0.011059, 0.011679, 0.011822, 0.013390, 0.013790, 4.379775]]
### 8
fourier: [[0.023471, 0.023953, 0.024517, 0.025077, 0.025263, 0.028741, 0.028909, 0.028980, 0.030704, 14.402048], [0.083544, 0.085260, 0.087266, 0.089259, 0.089923, 0.102302, 0.102898, 0.103152, 0.109288, 13.928118], [0.044447, 0.045360, 0.046427, 0.047487, 0.047841, 0.054427, 0.054744, 0.054879, 0.058143, 5.289833], [0.165424, 0.168822, 0.172792, 0.176741, 0.178055, 0.202567, 0.203746, 0.204249, 0.216399, 42.213777], [0.083514, 0.085229, 0.087233, 0.089227, 0.089890, 0.102265, 0.102861, 0.103114, 0.109248, 13.010475], [0.055909, 0.057058, 0.058400, 0.059734, 0.060178, 0.068463, 0.068861, 0.069031, 0.073137, 27.638410], [0.069847, 0.071281, 0.072958, 0.074625, 0.075179, 0.085529, 0.086027, 0.086239, 0.091369, 41.298284], [0.077947, 0.079548, 0.081419, 0.083280, 0.083899, 0.095449, 0.096005, 0.096242, 0.101966, 0.808460]]
### 10
fourier: [[0.011766, 0.012007, 0.012290, 0.012570, 0.012664, 0.014407, 0.014491, 0.014527, 0.015391, 22.267214], [0.013202, 0.013473, 0.013790, 0.014105, 0.014210, 0.016166, 0.016260, 0.016300, 0.017270, 5.927948], [0.001858, 0.001896, 0.001941, 0.001985, 0.002000, 0.002275, 0.002288, 0.002294, 0.002430, 41.364983], [0.003273, 0.003340, 0.003419, 0.003497, 0.003523, 0.004008, 0.004031, 0.004041, 0.004281, 5.206281], [0.004451, 0.004542, 0.004649, 0.004755, 0.004791, 0.005450, 0.005482, 0.005495, 0.005822, 11.182296], [0.040625, 0.041460, 0.042435, 0.043404, 0.043727, 0.049747, 0.050037, 0.050160, 0.053144, 20.949483], [0.040073, 0.040896, 0.041858, 0.042814, 0.043133, 0.049071, 0.049356, 0.049478, 0.052421, 25.163247], [0.019537, 0.019939, 0.020408, 0.020874, 0.021029, 0.023924, 0.024063, 0.024123, 0.025558, 5.034543]]
### 12
fourier: [[0.000154, 0.000158, 0.000161, 0.000165, 0.000166, 0.000189, 0.000190, 0.000191, 0.000202, 3.795828]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[14.294651, 14.755235, 14.815760, 14.978828, 15.674465, 15.933946, 17.888373, 22.763183, 26.813677, 85.698406], [13.501925, 13.573146, 13.777435, 14.143453, 14.833407, 15.407107, 16.574084, 19.457268, 21.391050, 22.186154], [13.069210, 13.195242, 15.214795, 15.846415, 15.913302, 16.144050, 16.364137, 19.593001, 19.930902, 169.072984], [26.626590, 27.204905, 27.274106, 27.397650, 29.411113, 30.494379, 32.639146, 37.211643, 40.863517, 263.346874], [28.947727, 29.751744, 30.850912, 34.444592, 35.687237, 37.128671, 37.600500, 39.778247, 42.512383, 362.925679], [36.467565, 37.242802, 38.967697, 39.913241, 41.089589, 41.522155, 42.836178, 47.072387, 49.231449, 297.309643], [23.623457, 26.133166, 26.836069, 27.276153, 28.560718, 29.851562, 30.308922, 30.534353, 30.819682, 232.667706], [16.760954, 17.732178, 17.827137, 18.272379, 18.494449, 20.521998, 22.172963, 22.522368, 22.966875, 93.261828]]
### 2
fourier: [[1.266760, 1.268200, 1.415415, 1.453052, 1.454492, 1.486854, 1.522136, 1.529038, 2.110185, 19.380017], [2.225559, 2.379098, 2.423219, 2.529728, 2.638795, 2.692568, 2.745378, 3.223432, 3.257880, 51.420403], [7.069403, 7.212233, 7.464114, 7.804020, 7.963365, 8.170366, 9.039713, 9.140713, 10.552105, 37.897997], [4.754628, 4.796685, 4.807102, 5.560130, 5.824834, 6.222121, 6.240488, 6.436509, 6.871233, 64.041301], [3.118666, 3.226033, 3.420230, 3.436709, 3.523007, 3.858234, 3.894059, 4.641535, 4.739891, 74.231578], [3.167346, 3.405491, 3.685399, 3.871304, 4.069675, 4.200941, 4.445875, 4.970504, 5.362798, 34.928910], [5.117312, 5.580458, 5.701116, 6.082357, 6.092581, 6.389931, 6.397363, 6.662001, 6.895207, 26.870146], [4.953210, 4.988812, 4.993602, 5.656849, 5.813642, 5.892494, 6.259797, 6.651358, 7.441991, 60.944265]]
### 4
fourier: [[0.373464, 0.380850, 0.389363, 0.399240, 0.401331, 0.456948, 0.459398, 0.460384, 0.487483, 42.032441], [0.207359, 0.220814, 0.221549, 0.226546, 0.229012, 0.261942, 0.262363, 0.266583, 0.284788, 24.333334], [0.242626, 0.251923, 0.257826, 0.274923, 0.283697, 0.308405, 0.316389, 0.321137, 0.353370, 5.001888], [0.232048, 0.242341, 0.255850, 0.259741, 0.268318, 0.285679, 0.294183, 0.301812, 0.341321, 7.615188], [0.263458, 0.275729, 0.280316, 0.295491, 0.301964, 0.334383, 0.340412, 0.345933, 0.376294, 29.380051], [0.089942, 0.090712, 0.090938, 0.091757, 0.092239, 0.093860, 0.096719, 0.098348, 0.098573, 9.414161], [0.587428, 0.609233, 0.620918, 0.635245, 0.652196, 0.730719, 0.740739, 0.747013, 0.801339, 4.923409], [0.472157, 0.484244, 0.499192, 0.505938, 0.522063, 0.583026, 0.592475, 0.595375, 0.637897, 27.610452]]
### 6
fourier: [[0.334166, 0.344725, 0.354371, 0.357612, 0.367460, 0.413640, 0.418382, 0.421163, 0.449962, 41.671432], [0.290550, 0.296518, 0.303491, 0.310426, 0.312734, 0.355787, 0.357859, 0.358742, 0.380081, 37.561039], [0.066787, 0.066947, 0.069839, 0.074437, 0.076422, 0.083039, 0.085112, 0.086821, 0.096049, 30.103338], [0.332037, 0.341959, 0.352491, 0.354111, 0.363982, 0.410354, 0.414743, 0.417251, 0.445212, 18.337000], [0.370596, 0.380479, 0.392587, 0.394244, 0.403815, 0.456614, 0.460800, 0.463051, 0.492892, 34.742162], [0.208380, 0.216754, 0.219882, 0.226575, 0.232542, 0.259893, 0.263750, 0.266237, 0.286235, 18.036104], [0.207421, 0.215221, 0.219186, 0.224502, 0.230479, 0.258126, 0.261713, 0.263970, 0.283267, 51.082375], [0.010047, 0.010117, 0.010222, 0.010680, 0.011059, 0.011679, 0.011822, 0.013390, 0.013790, 4.379775]]
### 8
fourier: [[0.023471, 0.023953, 0.024517, 0.025077, 0.025263, 0.028741, 0.028909, 0.028980, 0.030704, 14.402048], [0.083544, 0.085260, 0.087266, 0.089259, 0.089923, 0.102302, 0.102898, 0.103152, 0.109288, 13.928118], [0.044447, 0.045360, 0.046427, 0.047487, 0.047841, 0.054427, 0.054744, 0.054879, 0.058143, 5.289833], [0.165424, 0.168822, 0.172792, 0.176741, 0.178055, 0.202567, 0.203746, 0.204249, 0.216399, 42.213777], [0.083514, 0.085229, 0.087233, 0.089227, 0.089890, 0.102265, 0.102861, 0.103114, 0.109248, 13.010475], [0.055909, 0.057058, 0.058400, 0.059734, 0.060178, 0.068463, 0.068861, 0.069031, 0.073137, 27.638410], [0.069847, 0.071281, 0.072958, 0.074625, 0.075179, 0.085529, 0.086027, 0.086239, 0.091369, 41.298284], [0.077947, 0.079548, 0.081419, 0.083280, 0.083899, 0.095449, 0.096005, 0.096242, 0.101966, 0.808460]]
### 10
fourier: [[0.011766, 0.012007, 0.012290, 0.012570, 0.012664, 0.014407, 0.014491, 0.014527, 0.015391, 22.267214], [0.013202, 0.013473, 0.013790, 0.014105, 0.014210, 0.016166, 0.016260, 0.016300, 0.017270, 5.927948], [0.001858, 0.001896, 0.001941, 0.001985, 0.002000, 0.002275, 0.002288, 0.002294, 0.002430, 41.364983], [0.003273, 0.003340, 0.003419, 0.003497, 0.003523, 0.004008, 0.004031, 0.004041, 0.004281, 5.206281], [0.004451, 0.004542, 0.004649, 0.004755, 0.004791, 0.005450, 0.005482, 0.005495, 0.005822, 11.182296], [0.040625, 0.041460, 0.042435, 0.043404, 0.043727, 0.049747, 0.050037, 0.050160, 0.053144, 20.949483], [0.040073, 0.040896, 0.041858, 0.042814, 0.043133, 0.049071, 0.049356, 0.049478, 0.052421, 25.163247], [0.019537, 0.019939, 0.020408, 0.020874, 0.021029, 0.023924, 0.024063, 0.024123, 0.025558, 5.034543]]
### 12
fourier: [[0.000154, 0.000158, 0.000161, 0.000165, 0.000166, 0.000189, 0.000190, 0.000191, 0.000202, 3.795828]]
## 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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"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": 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": [[0.476547, -0.559551, 0.038672, -0.0764, -0.030068], [-0.229042, -0.091166, 0.385043, 0.21843, -0.416765], [0.036227, -0.387814, -0.168102, -0.179862, -0.09341], [-0.358519, -0.539846, -0.406453, -0.099703, -0.296861], [0.01628, -0.417609, -0.426875, -0.565384, -0.548591], [-0.642914, -0.659569, -0.531128, -0.009991, -0.115381], [-0.144813, -0.312096, -0.690766, -0.280614, 0.123387], [-0.354657, -0.391342, -0.140039, 0.090917, 0.229494]], "network.0.bias": [-0.405478, -0.061044, -0.364932, -0.06723, -0.511064, -0.028293, 0.05624, -0.067261], "network.2.weight": [[-0.219826, 0.036133, 0.045021, -0.327972, -0.327381, -0.31428, -0.356832, -0.026015], [-0.274118, 0.006068, -0.163072, -0.274642, -0.225153, -0.035862, -0.2324, -0.530465], 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"network.12.bias": [0.064956]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6814961731433868, "train_acc": 0.595, "val_loss": 0.8286767601966858, "val_acc": 0.34}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6812280118465424, "train_acc": 0.595, "val_loss": 0.7659936547279358, "val_acc": 0.34}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6911610960960388, "train_acc": 0.54, "val_loss": 0.6866236925125122, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7046427726745605, "train_acc": 0.46, "val_loss": 0.6791554093360901, "val_acc": 0.66}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6965754330158234, "train_acc": 0.46, "val_loss": 0.6967820525169373, "val_acc": 0.34}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6876669824123383, "train_acc": 0.54, "val_loss": 0.7227450609207153, "val_acc": 0.34}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.647160679101944, "train_acc": 0.54, "val_loss": 0.6977291703224182, "val_acc": 0.34}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.8286767601966858, "final_val_loss": 0.7659936547279358, "initial_val_acc": 0.34, "final_val_acc": 0.34, "best_val_acc": 0.34}, "improved_stage": {"initial_val_loss": 0.6866236925125122, "final_val_loss": 0.6977291703224182, "initial_val_acc": 0.66, "final_val_acc": 0.34, "best_val_acc": 0.66, "best_epoch": 2}, "improvement": 0.32, "first_improvement_epoch": 1}}
|
330
|
{"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": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6879, "learning_rate": 0.060239780708987174, "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: 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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"network.0.bias": [
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"network.2.weight": [
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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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"network.6.weight": [
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[
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[
0.287558,
-0.883084,
-0.05474,
0.679211,
0.612238
]
],
"network.6.bias": [
0.690717,
0.338106,
-0.298893,
0.157004,
-0.09172
],
"network.8.weight": [
[
-0.355664,
-0.444611,
0.61436,
0.143059,
0.624194
],
[
-0.454712,
-0.743855,
0.066796,
0.199094,
-0.368654
],
[
0.652461,
0.516762,
-0.22806,
-0.093121,
-0.350381
],
[
-0.563746,
-0.326201,
0.528051,
-0.20395,
0.611682
],
[
-0.876567,
-0.01538,
0.593599,
-0.282567,
0.428948
]
],
"network.8.bias": [
-0.052317,
-0.231474,
0.437462,
-0.113721,
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],
"network.10.weight": [
[
-0.793344,
-0.052886,
0.754883,
-0.845535,
-0.774126
]
],
"network.10.bias": [
0.525789
]
}
## Activation Signature
### 0
fourier: [[26.588503, 27.676568, 27.856777, 29.092179, 31.820819, 35.642567, 39.088848, 42.138199, 42.721918, 194.285919], [32.691198, 33.385017, 35.964304, 36.448904, 36.563861, 39.750160, 47.955200, 48.636913, 49.206354, 53.469652], [45.511330, 47.108767, 48.596172, 50.252699, 51.118672, 51.975950, 52.797229, 54.341957, 56.023567, 178.485990], [37.527175, 43.831545, 45.787027, 45.832269, 47.755774, 52.673636, 53.959687, 55.503978, 56.475645, 271.539284], [15.531398, 15.820972, 16.172214, 16.598822, 16.771325, 17.124782, 17.208239, 18.127434, 19.470898, 19.596449]]
### 2
fourier: [[69.647747, 70.499221, 75.415386, 85.674152, 87.460273, 88.065290, 88.506629, 90.922585, 93.266021, 294.116946], [21.580090, 21.710326, 23.093759, 23.452603, 25.175676, 26.510897, 27.442543, 28.748568, 29.128090, 31.849239], [59.348804, 64.946921, 65.094464, 72.772203, 74.214470, 76.235003, 77.247230, 77.520954, 78.868306, 350.433860], [73.771994, 74.523398, 75.110743, 81.366528, 82.255688, 85.010738, 89.286691, 94.884803, 101.989598, 349.271746], [55.025559, 56.916407, 59.566248, 67.354205, 67.803159, 67.916396, 68.284015, 70.153005, 71.895116, 294.613648]]
### 4
fourier: [[68.450506, 69.789099, 74.436666, 84.423776, 84.676006, 85.647590, 85.908863, 86.696968, 89.629195, 321.793576], [32.780095, 36.353421, 37.718835, 40.271184, 40.840871, 43.011284, 43.753136, 45.849865, 46.880788, 91.189515], [124.309846, 128.249768, 131.367363, 148.717356, 151.842642, 152.013005, 155.766264, 157.591127, 164.031704, 535.134745], [120.367817, 124.760922, 130.682972, 148.766126, 149.073777, 149.208615, 152.714594, 154.829105, 161.723421, 594.880951], [92.817956, 95.451399, 100.870295, 111.187757, 111.364042, 112.389973, 117.694910, 120.952305, 124.736503, 484.852176]]
### 6
fourier: [[84.900960, 85.613456, 92.893102, 100.007352, 104.536897, 107.621465, 110.135173, 118.060382, 118.194828, 301.230629], [83.928574, 86.012355, 91.990254, 98.876455, 104.673711, 105.810978, 111.609379, 117.655819, 118.585499, 313.962283], [138.799723, 150.602438, 150.943503, 173.386180, 174.067290, 175.762061, 178.800657, 183.151073, 190.325904, 667.393603], [28.928560, 30.852213, 31.067755, 33.781781, 35.572694, 36.052734, 39.546728, 41.081156, 42.131757, 118.386064], [157.416469, 169.240189, 170.467921, 195.409931, 197.329513, 197.618919, 203.019301, 207.704050, 216.035929, 765.303452]]
### 8
fourier: [[189.083139, 203.095202, 206.179714, 235.241862, 235.634191, 236.347887, 246.570271, 248.918683, 259.676179, 889.073578], [34.871574, 36.074195, 39.310863, 39.446459, 41.570849, 44.860657, 49.700157, 59.192306, 60.381227, 312.518992], [96.175661, 98.139683, 108.426780, 109.217667, 117.305217, 123.436524, 123.907099, 135.683662, 140.001470, 340.030535], [167.643017, 175.991591, 183.544433, 204.531635, 206.566138, 208.455021, 219.387309, 220.960533, 229.820671, 762.926457], [146.717184, 151.929003, 161.176304, 176.742840, 179.969222, 182.138788, 191.335081, 195.127852, 201.071273, 625.021028]]
### 10
fourier: [[393.896624, 425.571413, 436.695114, 487.170589, 491.267425, 495.899633, 501.046896, 522.848677, 536.558249, 1867.659822]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.57271,
-0.095934,
-0.432855,
0.019687,
-0.473048
],
[
-1.108787,
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-0.463816,
0.011111,
0.537604
],
[
1.098041,
1.1464,
-0.355922,
-0.117081,
0.040141
],
[
1.14644,
0.086744,
0.594858,
0.041765,
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],
[
-0.139805,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
-1.387668,
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],
[
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],
[
0.773475,
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0.418374,
0.453004
],
[
-0.403014,
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0.597847,
-0.431466
],
[
0.321415,
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1.20283,
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]
],
"network.2.bias": [
0.657082,
-0.20693,
0.051583,
0.022968,
0.093518
],
"network.4.weight": [
[
-0.087791,
0.159611,
0.49229,
0.123062,
0.496735
],
[
0.789944,
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0.139231
],
[
0.565865,
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-0.045261
],
[
-0.352898,
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0.287625,
0.777018,
0.796341
],
[
-0.761576,
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0.163755
]
],
"network.4.bias": [
-0.482317,
0.688625,
0.793857,
-0.262422,
0.190091
],
"network.6.weight": [
[
-0.370007,
0.528253,
0.912154,
-0.404605,
-0.082046
],
[
-0.766004,
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0.901669,
-0.253929,
0.023379
],
[
0.262881,
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0.590143,
0.557154
],
[
0.106037,
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0.38866,
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],
[
0.287558,
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0.612238
]
],
"network.6.bias": [
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0.157004,
-0.09172
],
"network.8.weight": [
[
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0.143059,
0.624194
],
[
-0.454712,
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0.066796,
0.199094,
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],
[
0.652461,
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],
[
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0.611682
],
[
-0.876567,
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]
],
"network.8.bias": [
-0.052317,
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0.437462,
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],
"network.10.weight": [
[
-0.793344,
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0.754883,
-0.845535,
-0.774126
]
],
"network.10.bias": [
0.525789
]
}
## Activation Signature
### 0
fourier: [[26.588503, 27.676568, 27.856777, 29.092179, 31.820819, 35.642567, 39.088848, 42.138199, 42.721918, 194.285919], [32.691198, 33.385017, 35.964304, 36.448904, 36.563861, 39.750160, 47.955200, 48.636913, 49.206354, 53.469652], [45.511330, 47.108767, 48.596172, 50.252699, 51.118672, 51.975950, 52.797229, 54.341957, 56.023567, 178.485990], [37.527175, 43.831545, 45.787027, 45.832269, 47.755774, 52.673636, 53.959687, 55.503978, 56.475645, 271.539284], [15.531398, 15.820972, 16.172214, 16.598822, 16.771325, 17.124782, 17.208239, 18.127434, 19.470898, 19.596449]]
### 2
fourier: [[69.647747, 70.499221, 75.415386, 85.674152, 87.460273, 88.065290, 88.506629, 90.922585, 93.266021, 294.116946], [21.580090, 21.710326, 23.093759, 23.452603, 25.175676, 26.510897, 27.442543, 28.748568, 29.128090, 31.849239], [59.348804, 64.946921, 65.094464, 72.772203, 74.214470, 76.235003, 77.247230, 77.520954, 78.868306, 350.433860], [73.771994, 74.523398, 75.110743, 81.366528, 82.255688, 85.010738, 89.286691, 94.884803, 101.989598, 349.271746], [55.025559, 56.916407, 59.566248, 67.354205, 67.803159, 67.916396, 68.284015, 70.153005, 71.895116, 294.613648]]
### 4
fourier: [[68.450506, 69.789099, 74.436666, 84.423776, 84.676006, 85.647590, 85.908863, 86.696968, 89.629195, 321.793576], [32.780095, 36.353421, 37.718835, 40.271184, 40.840871, 43.011284, 43.753136, 45.849865, 46.880788, 91.189515], [124.309846, 128.249768, 131.367363, 148.717356, 151.842642, 152.013005, 155.766264, 157.591127, 164.031704, 535.134745], [120.367817, 124.760922, 130.682972, 148.766126, 149.073777, 149.208615, 152.714594, 154.829105, 161.723421, 594.880951], [92.817956, 95.451399, 100.870295, 111.187757, 111.364042, 112.389973, 117.694910, 120.952305, 124.736503, 484.852176]]
### 6
fourier: [[84.900960, 85.613456, 92.893102, 100.007352, 104.536897, 107.621465, 110.135173, 118.060382, 118.194828, 301.230629], [83.928574, 86.012355, 91.990254, 98.876455, 104.673711, 105.810978, 111.609379, 117.655819, 118.585499, 313.962283], [138.799723, 150.602438, 150.943503, 173.386180, 174.067290, 175.762061, 178.800657, 183.151073, 190.325904, 667.393603], [28.928560, 30.852213, 31.067755, 33.781781, 35.572694, 36.052734, 39.546728, 41.081156, 42.131757, 118.386064], [157.416469, 169.240189, 170.467921, 195.409931, 197.329513, 197.618919, 203.019301, 207.704050, 216.035929, 765.303452]]
### 8
fourier: [[189.083139, 203.095202, 206.179714, 235.241862, 235.634191, 236.347887, 246.570271, 248.918683, 259.676179, 889.073578], [34.871574, 36.074195, 39.310863, 39.446459, 41.570849, 44.860657, 49.700157, 59.192306, 60.381227, 312.518992], [96.175661, 98.139683, 108.426780, 109.217667, 117.305217, 123.436524, 123.907099, 135.683662, 140.001470, 340.030535], [167.643017, 175.991591, 183.544433, 204.531635, 206.566138, 208.455021, 219.387309, 220.960533, 229.820671, 762.926457], [146.717184, 151.929003, 161.176304, 176.742840, 179.969222, 182.138788, 191.335081, 195.127852, 201.071273, 625.021028]]
### 10
fourier: [[393.896624, 425.571413, 436.695114, 487.170589, 491.267425, 495.899633, 501.046896, 522.848677, 536.558249, 1867.659822]]
## 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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{"0": {"fourier": [393.8966235522814, 425.57141277279356, 436.6951141329813, 487.1705887511698, 491.2674247000011, 495.899633355728, 501.0468958453878, 522.8486767342561, 536.5582490389119, 1867.6598220467567]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.57271, -0.095934, -0.432855, 0.019687, -0.473048], [-1.108787, 0.220259, -0.463816, 0.011111, 0.537604], [1.098041, 1.1464, -0.355922, -0.117081, 0.040141], [1.14644, 0.086744, 0.594858, 0.041765, -0.065085], [-0.139805, -0.259061, 0.033712, 0.471972, 0.258645]], "network.0.bias": [0.174179, 0.713713, -0.527222, 0.180469, -0.554072], "network.2.weight": [[-1.387668, 0.604155, -1.468629, -0.271612, -0.65297], [0.74628, -0.574783, 0.670352, -0.275339, -0.203313], [0.773475, -0.097439, 1.127755, 0.418374, 0.453004], [-0.403014, -0.449185, 1.153581, 0.597847, -0.431466], [0.321415, 0.08676, 1.20283, 0.175357, -0.060791]], "network.2.bias": [0.657082, -0.20693, 0.051583, 0.022968, 0.093518], "network.4.weight": [[-0.087791, 0.159611, 0.49229, 0.123062, 0.496735], [0.789944, -0.20169, -0.266819, -0.292595, 0.139231], [0.565865, -1.131612, -0.620616, -0.9184, -0.045261], [-0.352898, 0.309203, 0.287625, 0.777018, 0.796341], [-0.761576, -0.189941, 0.401259, 0.851319, 0.163755]], "network.4.bias": [-0.482317, 0.688625, 0.793857, -0.262422, 0.190091], "network.6.weight": [[-0.370007, 0.528253, 0.912154, -0.404605, -0.082046], [-0.766004, 0.722807, 0.901669, -0.253929, 0.023379], [0.262881, -0.358996, -0.303744, 0.590143, 0.557154], [0.106037, -0.229215, -0.505458, 0.38866, -0.293006], [0.287558, -0.883084, -0.05474, 0.679211, 0.612238]], "network.6.bias": [0.690717, 0.338106, -0.298893, 0.157004, -0.09172], "network.8.weight": [[-0.355664, -0.444611, 0.61436, 0.143059, 0.624194], [-0.454712, -0.743855, 0.066796, 0.199094, -0.368654], [0.652461, 0.516762, -0.22806, -0.093121, -0.350381], [-0.563746, -0.326201, 0.528051, -0.20395, 0.611682], [-0.876567, -0.01538, 0.593599, -0.282567, 0.428948]], "network.8.bias": [-0.052317, -0.231474, 0.437462, -0.113721, -0.407957], "network.10.weight": [[-0.793344, -0.052886, 0.754883, -0.845535, -0.774126]], "network.10.bias": [0.525789]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876224279403687, "train_acc": 0.565, "val_loss": 0.7025195360183716, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.673686683177948, "train_acc": 0.565, "val_loss": 0.6337882876396179, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6191298961639404, "train_acc": 0.57, "val_loss": 0.5270164012908936, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.46637313067913055, "train_acc": 0.77, "val_loss": 0.38009777665138245, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.36274583637714386, "train_acc": 0.85, "val_loss": 0.31146150827407837, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2377598062157631, "train_acc": 0.89, "val_loss": 0.26967936754226685, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.22222137451171875, "train_acc": 0.895, "val_loss": 0.2586909532546997, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18096394836902618, "train_acc": 0.93, "val_loss": 0.2776806354522705, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.18250305205583572, "train_acc": 0.915, "val_loss": 0.16764965653419495, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.1466294825077057, "train_acc": 0.95, "val_loss": 0.20705407857894897, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23095551878213882, "train_acc": 0.925, "val_loss": 0.19277676939964294, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.1605716273188591, "train_acc": 0.945, "val_loss": 0.14583663642406464, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7025195360183716, "final_val_loss": 0.6337882876396179, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5270164012908936, "final_val_loss": 0.14583663642406464, "initial_val_acc": 0.74, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.43999999999999995, "first_improvement_epoch": 1}}
|
331
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3132, "learning_rate": 0.041888555190733576, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[11.051611, 11.078435, 12.076193, 13.102882, 13.430009, 13.877920, 14.461909, 16.201406, 19.138711, 53.730230], [16.488881, 17.015077, 17.837797, 18.202748, 19.905761, 20.201600, 21.486755, 23.939557, 27.249569, 135.896127], [16.947465, 17.608341, 18.915594, 19.609187, 20.928068, 21.591192, 21.977927, 22.868617, 26.977295, 218.970571], [17.711026, 18.347392, 18.705346, 18.730214, 19.294635, 21.677374, 23.512463, 25.332810, 31.597458, 102.746616], [16.418380, 17.467560, 19.693934, 22.239864, 24.344685, 24.997915, 25.653836, 26.759475, 32.000612, 141.333530], [17.277289, 17.676055, 18.869833, 19.421226, 20.767619, 21.339482, 22.578182, 24.101680, 25.873041, 84.894024], [23.701213, 24.340738, 25.915543, 26.379931, 27.760892, 28.884148, 28.999697, 29.449235, 32.224018, 101.655998], [12.497007, 13.028571, 13.061669, 14.445749, 15.923851, 16.951187, 17.201934, 18.114129, 20.285881, 80.879965]]
### 2
fourier: [[10.221006, 10.226962, 10.327510, 11.009915, 11.434029, 11.970435, 12.136197, 12.702564, 14.500859, 19.598812], [7.687462, 8.054763, 8.213736, 8.343439, 8.395256, 8.576771, 8.653895, 9.265936, 10.167185, 11.304502], [18.193844, 18.794771, 21.693834, 23.324800, 25.191786, 25.705972, 26.552369, 29.383566, 30.310993, 92.184572], [10.449955, 10.600634, 11.252669, 11.279148, 14.440195, 15.318231, 15.454665, 16.011409, 17.419359, 18.814359], [9.540998, 9.695148, 10.796796, 11.032385, 13.328708, 14.242545, 14.712455, 16.073500, 16.167015, 138.147146], [7.137952, 7.739384, 7.768241, 9.955583, 10.024479, 11.090199, 11.633962, 11.852586, 12.769840, 61.948975], [15.922511, 17.988164, 19.577896, 22.251403, 23.173741, 23.550891, 24.151573, 24.824331, 24.980701, 124.601134], [6.689785, 6.857234, 7.084028, 8.742728, 8.887314, 10.198020, 10.265106, 10.705068, 11.102762, 32.148997]]
### 4
fourier: [[8.422711, 9.098436, 9.179519, 9.263685, 9.465789, 9.471995, 9.822539, 10.075895, 11.045254, 27.970508], [14.536899, 16.364734, 17.102846, 18.094346, 18.640508, 18.996131, 19.059726, 21.377052, 22.137913, 126.106424], [2.098395, 2.221395, 2.324744, 2.572579, 2.681088, 2.798824, 2.808643, 3.193039, 3.522250, 48.441578], [3.530996, 3.911360, 3.943352, 4.177075, 4.260180, 4.519010, 4.976541, 5.465899, 6.251747, 13.468314], [6.897888, 6.991025, 7.127469, 7.428838, 7.613005, 8.698483, 9.393195, 10.054813, 11.817478, 63.293519], [9.978260, 10.319962, 11.253070, 11.995337, 12.015191, 12.412329, 12.885250, 13.149857, 14.185351, 83.238674], [6.359259, 6.528810, 7.662573, 7.896440, 8.628053, 8.801501, 9.491405, 10.222527, 11.031992, 74.969980], [11.961950, 13.696685, 13.813513, 16.209810, 18.188730, 18.565136, 18.917198, 19.181482, 20.896580, 77.193851]]
### 6
fourier: [[12.154872, 12.214195, 12.883488, 13.112622, 13.299342, 13.542027, 14.106851, 14.602042, 15.978006, 99.887788], [7.893585, 8.738999, 9.544796, 10.104675, 10.441557, 10.468157, 10.903315, 11.199588, 13.001293, 84.890285], [4.455953, 4.543186, 4.774146, 6.445065, 7.033112, 7.156042, 7.249851, 7.456699, 7.510855, 90.304279], [11.531824, 12.186237, 12.533071, 14.537960, 14.582766, 17.143451, 17.210931, 18.057857, 20.719547, 40.633943], [9.778035, 9.890696, 11.681830, 11.768069, 12.612138, 12.833783, 12.853172, 14.432580, 16.260335, 77.662297], [10.360204, 10.434472, 10.497476, 10.765579, 10.967090, 10.994689, 11.855984, 13.633689, 13.695022, 55.542963], [3.159707, 3.264799, 3.736201, 3.822381, 3.975461, 4.432630, 4.624518, 4.633990, 5.421072, 27.410281], [8.696927, 8.932943, 8.996589, 9.571415, 10.788747, 10.966019, 12.029166, 12.085273, 13.585285, 57.898863]]
### 8
fourier: [[8.913340, 9.068819, 10.649655, 10.821220, 10.886683, 10.950123, 11.182793, 12.887378, 13.213714, 70.573109], [3.160478, 3.237082, 3.266023, 3.287803, 3.369580, 3.544199, 3.596932, 4.149623, 4.279383, 35.870159], [13.786449, 13.854111, 14.620423, 14.854833, 14.891661, 14.959866, 15.221020, 16.985772, 18.034530, 105.648447], [3.724923, 3.753872, 3.817995, 3.853701, 3.983280, 4.700699, 5.292935, 5.959583, 6.505205, 54.155738], [3.392682, 3.555899, 3.833338, 4.075010, 4.399800, 4.674386, 5.063739, 5.109256, 5.601452, 59.655714], [5.173376, 5.776984, 5.921504, 7.222740, 8.200219, 8.389039, 8.529229, 8.913393, 9.100879, 45.814134], [3.828748, 3.840220, 3.950840, 3.961773, 4.109156, 4.213512, 4.234501, 5.150811, 5.175734, 21.969789], [2.292514, 2.314995, 2.777665, 3.542395, 3.627513, 3.954703, 4.021704, 4.041568, 4.237916, 41.147751]]
### 10
fourier: [[1.504206, 1.525321, 1.527247, 1.626233, 1.653979, 1.742450, 1.871720, 1.895671, 1.906070, 29.206156], [1.024654, 1.050100, 1.330789, 1.331943, 1.389967, 1.429075, 1.465644, 1.745497, 1.777620, 18.605104], [8.596431, 8.610790, 8.768393, 8.959720, 9.176283, 9.499768, 10.241370, 10.449665, 10.833210, 59.450867], [3.272227, 3.337181, 3.402573, 3.435892, 3.488002, 3.825947, 4.002483, 4.227654, 4.301967, 29.299566], [1.358644, 1.558212, 1.578780, 1.611144, 1.826748, 1.868192, 1.875412, 1.962793, 2.460525, 43.381453], [3.723682, 3.885453, 3.927555, 4.083341, 4.100073, 4.367591, 4.799805, 4.806765, 4.974777, 11.447017], [1.438572, 1.552662, 1.669435, 1.999571, 2.266807, 2.272456, 2.386247, 2.497669, 2.502771, 29.473287], [0.218716, 0.229172, 0.238452, 0.321761, 0.343015, 0.359770, 0.389444, 0.402702, 0.442538, 4.028209]]
### 12
fourier: [[4.353193, 4.420565, 4.508632, 4.788099, 4.794578, 4.871428, 5.066196, 5.245556, 5.723499, 31.969499]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[11.051611, 11.078435, 12.076193, 13.102882, 13.430009, 13.877920, 14.461909, 16.201406, 19.138711, 53.730230], [16.488881, 17.015077, 17.837797, 18.202748, 19.905761, 20.201600, 21.486755, 23.939557, 27.249569, 135.896127], [16.947465, 17.608341, 18.915594, 19.609187, 20.928068, 21.591192, 21.977927, 22.868617, 26.977295, 218.970571], [17.711026, 18.347392, 18.705346, 18.730214, 19.294635, 21.677374, 23.512463, 25.332810, 31.597458, 102.746616], [16.418380, 17.467560, 19.693934, 22.239864, 24.344685, 24.997915, 25.653836, 26.759475, 32.000612, 141.333530], [17.277289, 17.676055, 18.869833, 19.421226, 20.767619, 21.339482, 22.578182, 24.101680, 25.873041, 84.894024], [23.701213, 24.340738, 25.915543, 26.379931, 27.760892, 28.884148, 28.999697, 29.449235, 32.224018, 101.655998], [12.497007, 13.028571, 13.061669, 14.445749, 15.923851, 16.951187, 17.201934, 18.114129, 20.285881, 80.879965]]
### 2
fourier: [[10.221006, 10.226962, 10.327510, 11.009915, 11.434029, 11.970435, 12.136197, 12.702564, 14.500859, 19.598812], [7.687462, 8.054763, 8.213736, 8.343439, 8.395256, 8.576771, 8.653895, 9.265936, 10.167185, 11.304502], [18.193844, 18.794771, 21.693834, 23.324800, 25.191786, 25.705972, 26.552369, 29.383566, 30.310993, 92.184572], [10.449955, 10.600634, 11.252669, 11.279148, 14.440195, 15.318231, 15.454665, 16.011409, 17.419359, 18.814359], [9.540998, 9.695148, 10.796796, 11.032385, 13.328708, 14.242545, 14.712455, 16.073500, 16.167015, 138.147146], [7.137952, 7.739384, 7.768241, 9.955583, 10.024479, 11.090199, 11.633962, 11.852586, 12.769840, 61.948975], [15.922511, 17.988164, 19.577896, 22.251403, 23.173741, 23.550891, 24.151573, 24.824331, 24.980701, 124.601134], [6.689785, 6.857234, 7.084028, 8.742728, 8.887314, 10.198020, 10.265106, 10.705068, 11.102762, 32.148997]]
### 4
fourier: [[8.422711, 9.098436, 9.179519, 9.263685, 9.465789, 9.471995, 9.822539, 10.075895, 11.045254, 27.970508], [14.536899, 16.364734, 17.102846, 18.094346, 18.640508, 18.996131, 19.059726, 21.377052, 22.137913, 126.106424], [2.098395, 2.221395, 2.324744, 2.572579, 2.681088, 2.798824, 2.808643, 3.193039, 3.522250, 48.441578], [3.530996, 3.911360, 3.943352, 4.177075, 4.260180, 4.519010, 4.976541, 5.465899, 6.251747, 13.468314], [6.897888, 6.991025, 7.127469, 7.428838, 7.613005, 8.698483, 9.393195, 10.054813, 11.817478, 63.293519], [9.978260, 10.319962, 11.253070, 11.995337, 12.015191, 12.412329, 12.885250, 13.149857, 14.185351, 83.238674], [6.359259, 6.528810, 7.662573, 7.896440, 8.628053, 8.801501, 9.491405, 10.222527, 11.031992, 74.969980], [11.961950, 13.696685, 13.813513, 16.209810, 18.188730, 18.565136, 18.917198, 19.181482, 20.896580, 77.193851]]
### 6
fourier: [[12.154872, 12.214195, 12.883488, 13.112622, 13.299342, 13.542027, 14.106851, 14.602042, 15.978006, 99.887788], [7.893585, 8.738999, 9.544796, 10.104675, 10.441557, 10.468157, 10.903315, 11.199588, 13.001293, 84.890285], [4.455953, 4.543186, 4.774146, 6.445065, 7.033112, 7.156042, 7.249851, 7.456699, 7.510855, 90.304279], [11.531824, 12.186237, 12.533071, 14.537960, 14.582766, 17.143451, 17.210931, 18.057857, 20.719547, 40.633943], [9.778035, 9.890696, 11.681830, 11.768069, 12.612138, 12.833783, 12.853172, 14.432580, 16.260335, 77.662297], [10.360204, 10.434472, 10.497476, 10.765579, 10.967090, 10.994689, 11.855984, 13.633689, 13.695022, 55.542963], [3.159707, 3.264799, 3.736201, 3.822381, 3.975461, 4.432630, 4.624518, 4.633990, 5.421072, 27.410281], [8.696927, 8.932943, 8.996589, 9.571415, 10.788747, 10.966019, 12.029166, 12.085273, 13.585285, 57.898863]]
### 8
fourier: [[8.913340, 9.068819, 10.649655, 10.821220, 10.886683, 10.950123, 11.182793, 12.887378, 13.213714, 70.573109], [3.160478, 3.237082, 3.266023, 3.287803, 3.369580, 3.544199, 3.596932, 4.149623, 4.279383, 35.870159], [13.786449, 13.854111, 14.620423, 14.854833, 14.891661, 14.959866, 15.221020, 16.985772, 18.034530, 105.648447], [3.724923, 3.753872, 3.817995, 3.853701, 3.983280, 4.700699, 5.292935, 5.959583, 6.505205, 54.155738], [3.392682, 3.555899, 3.833338, 4.075010, 4.399800, 4.674386, 5.063739, 5.109256, 5.601452, 59.655714], [5.173376, 5.776984, 5.921504, 7.222740, 8.200219, 8.389039, 8.529229, 8.913393, 9.100879, 45.814134], [3.828748, 3.840220, 3.950840, 3.961773, 4.109156, 4.213512, 4.234501, 5.150811, 5.175734, 21.969789], [2.292514, 2.314995, 2.777665, 3.542395, 3.627513, 3.954703, 4.021704, 4.041568, 4.237916, 41.147751]]
### 10
fourier: [[1.504206, 1.525321, 1.527247, 1.626233, 1.653979, 1.742450, 1.871720, 1.895671, 1.906070, 29.206156], [1.024654, 1.050100, 1.330789, 1.331943, 1.389967, 1.429075, 1.465644, 1.745497, 1.777620, 18.605104], [8.596431, 8.610790, 8.768393, 8.959720, 9.176283, 9.499768, 10.241370, 10.449665, 10.833210, 59.450867], [3.272227, 3.337181, 3.402573, 3.435892, 3.488002, 3.825947, 4.002483, 4.227654, 4.301967, 29.299566], [1.358644, 1.558212, 1.578780, 1.611144, 1.826748, 1.868192, 1.875412, 1.962793, 2.460525, 43.381453], [3.723682, 3.885453, 3.927555, 4.083341, 4.100073, 4.367591, 4.799805, 4.806765, 4.974777, 11.447017], [1.438572, 1.552662, 1.669435, 1.999571, 2.266807, 2.272456, 2.386247, 2.497669, 2.502771, 29.473287], [0.218716, 0.229172, 0.238452, 0.321761, 0.343015, 0.359770, 0.389444, 0.402702, 0.442538, 4.028209]]
### 12
fourier: [[4.353193, 4.420565, 4.508632, 4.788099, 4.794578, 4.871428, 5.066196, 5.245556, 5.723499, 31.969499]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.323879, -0.138002, 0.15817, -0.045318, 0.093279], [-0.500434, 0.021745, -0.143463, -0.019176, -0.163056], [0.087636, -0.09032, -0.486479, -0.474332, -0.069298], [0.492597, -0.171716, 0.14068, -0.124355, 0.31324], [-0.018999, -0.003133, 0.566149, -0.084856, 0.443183], [-0.538654, 0.139803, 0.363178, 0.138606, 0.407699], [0.625443, 0.559518, -0.302187, -0.312674, 0.209564], [-0.29024, 0.103235, 0.126882, -0.072517, 0.512347]], "network.0.bias": [0.097161, -0.384916, -0.258633, 0.428002, 0.052478, -0.199859, 0.374901, 0.330309], "network.2.weight": [[-0.049398, -0.003817, -0.070774, -0.169118, 0.449689, 0.061388, -0.182116, 0.122892], [-0.237412, -0.116715, -0.002569, -0.244165, 0.37205, 0.255589, 0.034584, -0.073491], [0.167144, -0.00067, 0.062637, 0.478218, 0.160238, -0.112143, 0.461186, -0.371786], [-0.178926, 0.177954, -0.19564, 0.245106, 0.205718, -0.425488, 0.295687, 0.023161], [0.185687, 0.403795, 0.131745, -0.012525, -0.027747, 0.148018, 0.395143, 0.422286], [-0.061837, 0.01867, 0.002583, -0.040755, -0.234014, -0.023346, -0.109242, -0.1944], [-0.146286, 0.187985, 0.104177, 0.221818, 0.456919, 0.414432, -0.128643, 0.351123], [0.056697, 0.146598, 0.225364, -0.211756, -0.370232, 0.147127, 0.056362, 0.144361]], "network.2.bias": [-0.209691, -0.348134, -0.048181, -0.230165, 0.368569, 0.135205, -0.157411, 0.070033], "network.4.weight": [[0.308885, 0.215723, -0.280384, 0.241161, 0.065644, 0.324986, 0.237297, 0.079893], [0.371259, 0.383284, -0.06504, -0.237593, 0.306873, 0.187107, 0.545251, 0.248054], [-0.02876, -0.119301, 0.037009, 0.248906, -0.353125, 0.275111, 0.080897, 0.05793], [0.228936, -0.017882, 0.126299, -0.098811, -0.195143, -0.30616, 0.163267, -0.216955], [0.428322, 0.42313, 0.313338, -0.170401, -0.075641, -0.236598, 0.121812, 0.280356], [0.057782, 0.073483, -0.361871, 0.068306, 0.14865, 0.38464, 0.424074, 0.084556], [-0.228933, -0.070166, 0.314712, -0.015973, -0.121315, 0.227332, 0.353924, -0.163602], [0.127325, 0.023833, 0.463169, 0.26739, 0.333094, -0.372252, -0.305187, 0.056102]], "network.4.bias": [-0.118622, 0.059924, -0.208678, 0.046782, 0.075466, 0.410945, 0.320215, 0.108927], "network.6.weight": [[0.034486, 0.372016, 0.417628, 0.037554, 0.230068, 0.246628, 0.144543, -0.272921], [-0.132672, -0.261191, 0.053437, -0.18041, -0.212132, -0.044431, -0.29269, 0.077856], [0.097575, -0.209907, 0.168276, 0.183347, -0.43546, 0.01066, 0.121584, -0.233862], [-0.12941, -0.263031, -0.079925, -0.008028, 0.33603, -0.340183, 0.279539, 0.514594], [0.401783, 0.124755, 0.372857, 0.402495, 0.110667, 0.486258, 0.046701, 0.142623], [0.445707, 0.381541, 0.359546, -0.129115, 0.160792, -0.098592, 0.165887, -0.179661], [-0.10774, -0.000482, 0.282533, -0.237587, 0.014586, 0.10723, -0.220066, -0.126817], [0.020035, 0.070875, -0.14046, 0.318616, 0.206167, -0.09999, 0.446185, 0.329218]], "network.6.bias": [0.283221, -0.120666, -0.386227, 0.28838, -0.262318, -0.075703, -0.036033, -0.229181], "network.8.weight": [[-0.158277, 0.149335, 0.158292, 0.271949, -0.358586, -0.184435, 0.125073, -0.32309], [0.077574, 0.072769, 0.234127, 0.072415, -0.45636, 0.116202, 0.328572, 0.042543], [0.543701, 0.272241, -0.172551, -0.044528, 0.266862, 0.421002, 0.271817, -0.156381], [0.08733, -0.050079, -0.454029, 0.453181, 0.069035, 0.172238, -0.197484, -0.100444], [-0.016599, -0.170426, -0.056862, -0.047323, -0.275216, 0.213517, -0.100838, -0.293558], [-0.251453, 0.286752, -0.304364, 0.412843, -0.10232, 0.317052, -0.274613, 0.155098], [0.068374, 0.096563, -0.169528, 0.058575, -0.101054, -0.324002, -0.027123, -0.008424], [-0.31901, -0.095019, -0.198852, -0.082105, 0.207397, 0.0013, -0.079899, -0.287008]], "network.8.bias": [-0.136135, -0.237069, 0.194854, 0.124728, -0.325154, 0.325305, -0.05618, -0.04554], "network.10.weight": [[-0.298554, -0.077316, -0.148136, 0.282516, -0.269417, -0.11708, -0.199823, 0.306619], [0.33203, -0.128799, -0.00785, -0.090435, -0.081001, -0.139968, -0.066803, 0.114718], [-0.26781, -0.090497, 0.581081, -0.260686, -0.191513, -0.154494, 0.314991, -0.139733], [0.072483, 0.319709, 0.200307, -0.128502, 0.254493, -0.128546, 0.295521, 0.191649], [-0.313483, 0.019704, -0.139858, 0.012822, 0.279663, -0.12951, -0.177025, -0.067075], [-0.041923, 0.134751, -0.183425, -0.176009, 0.235902, 0.327221, -0.176166, 0.079266], [0.396325, -0.324488, -0.00734, 0.054089, -0.034959, -0.30949, -0.067364, -0.247426], [-0.104736, -0.228975, 0.005248, -0.125377, 0.03297, 0.041747, 0.29051, 0.184099]], "network.10.bias": [-0.259057, -0.071453, 0.208623, -0.420706, -0.257836, 0.283916, -0.193481, 0.001777], "network.12.weight": [[0.328807, -0.052444, -0.544605, 0.221569, 0.246462, 0.098844, 0.186804, 0.193898]], "network.12.bias": [0.004726]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920586824417114, "train_acc": 0.515, "val_loss": 0.6691735982894897, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779859960079193, "train_acc": 0.535, "val_loss": 0.6182584166526794, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6551969647407532, "train_acc": 0.465, "val_loss": 0.4706598222255707, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5180287510156631, "train_acc": 0.9, "val_loss": 0.3242579400539398, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.36675824224948883, "train_acc": 0.925, "val_loss": 0.22239230573177338, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24712039530277252, "train_acc": 0.925, "val_loss": 0.2628554403781891, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.26198557019233704, "train_acc": 0.93, "val_loss": 0.3672805726528168, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2743814140558243, "train_acc": 0.925, "val_loss": 0.26027974486351013, "val_acc": 0.88}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6691735982894897, "final_val_loss": 0.6182584166526794, "initial_val_acc": 0.64, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.4706598222255707, "final_val_loss": 0.26027974486351013, "initial_val_acc": 0.94, "final_val_acc": 0.88, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.29999999999999993, "first_improvement_epoch": 1}}
|
332
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1122, "learning_rate": 0.047024263830385764, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[28.219353, 28.635140, 30.074840, 30.635324, 31.910451, 31.925657, 38.602409, 42.419239, 42.706321, 145.207670], [16.233735, 16.248386, 16.410205, 16.444821, 16.648887, 17.353410, 18.461688, 18.903303, 20.042471, 23.952864], [20.791157, 21.034175, 21.237530, 21.382890, 21.624753, 21.720527, 23.109304, 25.696321, 28.673367, 49.157267], [19.353212, 20.873542, 20.943646, 21.414032, 24.505501, 24.852467, 27.839278, 30.886877, 31.454211, 205.641354], [37.564185, 38.814594, 42.465769, 42.608127, 43.353787, 44.173744, 49.302330, 50.814176, 53.561666, 251.873086]]
### 2
fourier: [[30.328506, 31.006301, 32.027710, 33.947023, 34.679920, 35.661385, 35.861806, 42.434544, 43.502437, 253.322891], [8.353474, 8.658159, 9.372213, 9.667512, 10.387998, 10.796429, 10.884982, 11.022921, 11.060864, 103.420507], [5.628329, 6.155674, 6.236675, 6.785461, 6.901247, 6.995816, 7.363011, 7.388341, 7.465196, 80.105484], [13.614064, 13.882439, 14.535513, 14.601922, 14.828660, 14.963799, 15.333757, 15.505794, 16.441002, 34.376754], [59.706974, 61.425408, 62.575055, 67.035452, 68.132598, 68.685365, 70.927421, 82.218630, 83.178097, 419.137994]]
### 4
fourier: [[11.567865, 11.904402, 12.417858, 13.001092, 13.563478, 14.378994, 14.439119, 14.459305, 15.968507, 104.572780], [14.743197, 15.046102, 15.788349, 16.667512, 16.787777, 16.827551, 17.341957, 19.670175, 20.388466, 49.711460], [13.784606, 14.406104, 14.645953, 15.418667, 15.818234, 16.083472, 16.463753, 18.123539, 19.075612, 122.427053], [21.380713, 21.592323, 23.322605, 23.966680, 24.336981, 24.704843, 24.905352, 29.290468, 29.810450, 172.970858], [56.220248, 57.743104, 60.084486, 63.383566, 64.152017, 64.549141, 66.403085, 74.724144, 77.765991, 399.790291]]
### 6
fourier: [[11.075004, 11.309813, 12.097104, 12.511210, 12.565536, 12.720614, 13.058925, 14.802220, 15.401766, 91.806938], [17.021983, 18.002020, 18.140043, 18.958924, 19.579330, 20.088585, 20.271206, 22.181861, 23.563258, 165.114938], [11.771805, 11.924131, 12.820370, 13.526197, 13.703464, 13.826015, 13.940626, 16.361008, 16.672949, 39.991170], [19.395904, 19.676727, 21.407576, 21.759919, 22.146914, 22.327995, 22.895179, 26.080330, 27.047834, 170.288593], [46.328366, 46.982796, 51.127960, 51.956936, 52.894630, 53.323062, 54.673482, 62.296578, 64.598714, 348.679113]]
### 8
fourier: [[23.964336, 24.015331, 26.350465, 27.135423, 27.711820, 27.756491, 28.298011, 32.616353, 33.639511, 113.778908], [7.499431, 7.597521, 7.758017, 8.655840, 8.735757, 8.796538, 8.832526, 10.432513, 10.530971, 67.602293], [7.618946, 7.681438, 8.193518, 8.845224, 8.873696, 8.956776, 9.003004, 10.560836, 10.776441, 87.700493], [21.527957, 21.688106, 23.667372, 24.599426, 25.064992, 25.079366, 25.530075, 29.528629, 30.390425, 215.457042], [18.404076, 18.570403, 19.830891, 21.368474, 21.453324, 21.645049, 21.770196, 25.519695, 26.051512, 80.269141]]
### 10
fourier: [[0.599863, 0.601137, 0.603046, 0.628706, 0.641948, 0.644706, 0.712415, 0.807632, 0.816083, 14.306869], [2.709447, 2.911813, 3.212774, 3.302200, 3.379738, 3.641480, 3.792365, 4.030685, 4.377566, 34.059354], [11.871895, 12.239833, 12.626129, 13.394044, 13.621312, 13.964560, 14.617925, 14.697744, 16.413664, 121.837135], [2.259264, 2.266179, 2.310268, 2.595913, 2.746528, 2.928752, 2.957757, 3.062664, 3.613406, 14.791235], [12.647453, 13.506065, 14.893492, 15.369481, 15.667793, 16.872501, 16.987835, 18.773799, 20.222149, 125.128248]]
### 12
fourier: [[9.513223, 9.915484, 11.112420, 11.740324, 12.085968, 12.694692, 13.168888, 14.471414, 14.739320, 93.584374]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[28.219353, 28.635140, 30.074840, 30.635324, 31.910451, 31.925657, 38.602409, 42.419239, 42.706321, 145.207670], [16.233735, 16.248386, 16.410205, 16.444821, 16.648887, 17.353410, 18.461688, 18.903303, 20.042471, 23.952864], [20.791157, 21.034175, 21.237530, 21.382890, 21.624753, 21.720527, 23.109304, 25.696321, 28.673367, 49.157267], [19.353212, 20.873542, 20.943646, 21.414032, 24.505501, 24.852467, 27.839278, 30.886877, 31.454211, 205.641354], [37.564185, 38.814594, 42.465769, 42.608127, 43.353787, 44.173744, 49.302330, 50.814176, 53.561666, 251.873086]]
### 2
fourier: [[30.328506, 31.006301, 32.027710, 33.947023, 34.679920, 35.661385, 35.861806, 42.434544, 43.502437, 253.322891], [8.353474, 8.658159, 9.372213, 9.667512, 10.387998, 10.796429, 10.884982, 11.022921, 11.060864, 103.420507], [5.628329, 6.155674, 6.236675, 6.785461, 6.901247, 6.995816, 7.363011, 7.388341, 7.465196, 80.105484], [13.614064, 13.882439, 14.535513, 14.601922, 14.828660, 14.963799, 15.333757, 15.505794, 16.441002, 34.376754], [59.706974, 61.425408, 62.575055, 67.035452, 68.132598, 68.685365, 70.927421, 82.218630, 83.178097, 419.137994]]
### 4
fourier: [[11.567865, 11.904402, 12.417858, 13.001092, 13.563478, 14.378994, 14.439119, 14.459305, 15.968507, 104.572780], [14.743197, 15.046102, 15.788349, 16.667512, 16.787777, 16.827551, 17.341957, 19.670175, 20.388466, 49.711460], [13.784606, 14.406104, 14.645953, 15.418667, 15.818234, 16.083472, 16.463753, 18.123539, 19.075612, 122.427053], [21.380713, 21.592323, 23.322605, 23.966680, 24.336981, 24.704843, 24.905352, 29.290468, 29.810450, 172.970858], [56.220248, 57.743104, 60.084486, 63.383566, 64.152017, 64.549141, 66.403085, 74.724144, 77.765991, 399.790291]]
### 6
fourier: [[11.075004, 11.309813, 12.097104, 12.511210, 12.565536, 12.720614, 13.058925, 14.802220, 15.401766, 91.806938], [17.021983, 18.002020, 18.140043, 18.958924, 19.579330, 20.088585, 20.271206, 22.181861, 23.563258, 165.114938], [11.771805, 11.924131, 12.820370, 13.526197, 13.703464, 13.826015, 13.940626, 16.361008, 16.672949, 39.991170], [19.395904, 19.676727, 21.407576, 21.759919, 22.146914, 22.327995, 22.895179, 26.080330, 27.047834, 170.288593], [46.328366, 46.982796, 51.127960, 51.956936, 52.894630, 53.323062, 54.673482, 62.296578, 64.598714, 348.679113]]
### 8
fourier: [[23.964336, 24.015331, 26.350465, 27.135423, 27.711820, 27.756491, 28.298011, 32.616353, 33.639511, 113.778908], [7.499431, 7.597521, 7.758017, 8.655840, 8.735757, 8.796538, 8.832526, 10.432513, 10.530971, 67.602293], [7.618946, 7.681438, 8.193518, 8.845224, 8.873696, 8.956776, 9.003004, 10.560836, 10.776441, 87.700493], [21.527957, 21.688106, 23.667372, 24.599426, 25.064992, 25.079366, 25.530075, 29.528629, 30.390425, 215.457042], [18.404076, 18.570403, 19.830891, 21.368474, 21.453324, 21.645049, 21.770196, 25.519695, 26.051512, 80.269141]]
### 10
fourier: [[0.599863, 0.601137, 0.603046, 0.628706, 0.641948, 0.644706, 0.712415, 0.807632, 0.816083, 14.306869], [2.709447, 2.911813, 3.212774, 3.302200, 3.379738, 3.641480, 3.792365, 4.030685, 4.377566, 34.059354], [11.871895, 12.239833, 12.626129, 13.394044, 13.621312, 13.964560, 14.617925, 14.697744, 16.413664, 121.837135], [2.259264, 2.266179, 2.310268, 2.595913, 2.746528, 2.928752, 2.957757, 3.062664, 3.613406, 14.791235], [12.647453, 13.506065, 14.893492, 15.369481, 15.667793, 16.872501, 16.987835, 18.773799, 20.222149, 125.128248]]
### 12
fourier: [[9.513223, 9.915484, 11.112420, 11.740324, 12.085968, 12.694692, 13.168888, 14.471414, 14.739320, 93.584374]]
## 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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.913874, -0.196307, 0.37139, -0.046687, -0.232133], [-0.365557, -0.206848, 0.101292, 0.103008, 0.537382], [-0.063148, 0.523168, 0.447828, -0.367391, -0.180897], [-0.084223, -0.357383, -0.188961, -0.452529, -0.285769], [0.932341, 0.762461, 0.306956, -0.1456, -0.398945]], "network.0.bias": [0.44449, -0.194782, -0.25306, 0.188729, 0.412038], "network.2.weight": [[-0.610967, 0.116402, -0.290453, -0.060686, -0.320115], [-0.082386, -0.119215, 0.161446, -0.394692, -0.214203], [-0.125428, -0.141963, -0.120813, -0.424038, -0.04172], [0.042618, 0.132295, -0.402782, -0.522599, -0.230801], [0.531858, -0.430217, 0.741906, -0.202809, 1.033002]], "network.2.bias": [-0.647649, -0.462924, -0.371556, 0.501306, 0.343434], "network.4.weight": [[-0.375418, -0.141081, 0.241345, -0.368834, -0.2095], [0.210241, 0.082721, 0.197649, 0.138527, -0.242442], [0.441262, 0.251173, 0.423678, -0.000535, -0.232179], [-0.230057, 0.011536, 0.263594, 0.448945, -0.344354], [-0.295824, -0.061412, 0.262997, -0.387966, 0.930496]], "network.4.bias": [-0.101556, 0.565215, -0.264239, -0.383418, 0.125046], "network.6.weight": [[-0.128196, 0.114041, -0.064328, 0.238695, -0.193827], [0.439787, -0.183783, 0.021489, 0.079392, -0.310964], [0.379301, 0.408229, -0.365056, 0.10695, -0.198553], [0.152796, 0.292456, -0.411879, 0.072378, -0.336913], [-0.161188, -0.701619, -0.040728, -0.231559, 0.804496]], "network.6.bias": [-0.174895, -0.418558, 0.374412, -0.437627, 0.401815], "network.8.weight": [[-0.13839, -0.077124, 0.288851, 0.444387, -0.508461], [-0.156293, 0.421392, 0.28085, -0.287038, -0.150692], [-0.087835, -0.156946, 0.188639, -0.017945, -0.158607], [-0.027098, -0.06639, -0.314464, -0.211899, 0.45697], [0.382565, -0.321963, 0.446927, 0.10101, -0.383831]], "network.8.bias": [0.666699, -0.207468, -0.386559, 0.666632, 0.532222], "network.10.weight": [[0.179344, -0.206236, -0.180601, -0.000113, -0.35364], [0.126547, -0.16203, -0.046345, 0.104945, -0.398019], [-0.585192, 0.294356, 0.407167, -0.600766, -0.058437], [0.326372, -0.343675, -0.402915, -0.0553, 0.08288], [-0.605471, 0.434194, -0.005224, 0.515963, -0.429611]], "network.10.bias": [-0.131004, -0.587135, 0.181878, -0.094076, 0.313075], "network.12.weight": [[0.125211, 0.27228, -0.301185, 0.138032, -0.780966]], "network.12.bias": [0.06323]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.674567461013794, "train_acc": 0.59, "val_loss": 0.7460673451423645, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676444947719574, "train_acc": 0.59, "val_loss": 0.7303425669670105, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6788212656974792, "train_acc": 0.59, "val_loss": 0.7214381694793701, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6708507537841797, "train_acc": 0.59, "val_loss": 0.7079122066497803, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6789207756519318, "train_acc": 0.515, "val_loss": 0.6766705513000488, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6586881577968597, "train_acc": 0.515, "val_loss": 0.6637951135635376, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6216008067131042, "train_acc": 0.515, "val_loss": 0.5930962562561035, "val_acc": 0.44}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.56120365858078, "train_acc": 0.625, "val_loss": 0.5118186473846436, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.48492997884750366, "train_acc": 0.84, "val_loss": 0.4658094048500061, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.4321218878030777, "train_acc": 0.83, "val_loss": 0.42261749505996704, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.37506866455078125, "train_acc": 0.835, "val_loss": 0.33433616161346436, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.36854563653469086, "train_acc": 0.84, "val_loss": 0.34012192487716675, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.38811835646629333, "train_acc": 0.835, "val_loss": 0.34515517950057983, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.36350804567337036, "train_acc": 0.84, "val_loss": 0.37907248735427856, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7460673451423645, "final_val_loss": 0.7079122066497803, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6766705513000488, "final_val_loss": 0.37907248735427856, "initial_val_acc": 0.44, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 7}, "improvement": 0.44, "first_improvement_epoch": 3}}
|
333
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 0.88, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5288, "learning_rate": 0.08067091246355212, "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: 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: [[26.470323, 27.850853, 28.117726, 29.116677, 30.968499, 31.352341, 31.667665, 36.862427, 37.210394, 237.195693], [23.100882, 23.792331, 23.952233, 24.404114, 24.508699, 24.993845, 26.353116, 26.436404, 40.340076, 194.864910], [14.660658, 15.993614, 15.997799, 16.079714, 16.168943, 16.754418, 16.870722, 20.884617, 21.697480, 22.399415], [23.712728, 24.980487, 26.237602, 26.332720, 26.913283, 26.998449, 28.547427, 31.994428, 35.283155, 60.347227], [18.889362, 18.945584, 19.837688, 21.208039, 22.155209, 22.181098, 23.697178, 25.000831, 27.790870, 32.789595], [22.591772, 23.133351, 23.362257, 23.908761, 26.572089, 28.661100, 30.699867, 37.962011, 42.571978, 142.364592], [21.744697, 21.953988, 22.318777, 26.595982, 27.324697, 28.715630, 33.386746, 33.737753, 37.665112, 60.236659]]
### 2
fourier: [[22.134189, 22.647769, 23.901876, 24.115311, 26.942039, 27.592663, 29.295310, 35.078709, 35.639425, 207.287208], [10.775887, 10.973670, 12.069269, 12.233258, 12.393869, 12.542286, 14.820111, 14.911588, 21.873190, 33.647405], [29.637602, 30.763923, 31.007277, 31.743173, 32.581793, 32.717946, 34.586131, 42.175327, 43.906269, 171.878897], [31.492406, 34.192899, 34.399059, 37.794817, 40.792359, 42.629913, 44.337431, 44.451656, 49.483311, 246.436898], [20.402857, 22.027138, 22.526322, 22.667593, 22.773128, 23.599498, 26.632569, 28.070344, 29.940690, 133.474358], [19.853919, 20.964930, 22.290445, 22.942872, 25.015951, 25.934822, 26.789110, 28.985795, 31.496184, 224.503918], [9.810116, 9.967362, 10.650538, 10.732741, 11.819454, 12.677889, 13.768536, 14.580006, 16.450076, 40.542787]]
### 4
fourier: [[3.606807, 3.651496, 3.671255, 4.069843, 4.131852, 4.159198, 4.307886, 4.818700, 5.482416, 72.183279], [36.049659, 36.147522, 36.620970, 38.607788, 39.929010, 40.256919, 43.268890, 50.946080, 51.062505, 267.939066], [16.383519, 16.554497, 17.217537, 18.558741, 18.650788, 18.797751, 22.593048, 23.579339, 24.324494, 177.213123], [8.530675, 9.439948, 9.695497, 9.718922, 10.380601, 10.534987, 13.136777, 13.677292, 14.002068, 120.347205], [25.311471, 26.815634, 27.321414, 28.599996, 28.677762, 29.607447, 30.896378, 37.821927, 38.270983, 205.801619], [53.662699, 56.540610, 58.803752, 59.412508, 60.265251, 62.396834, 65.037008, 78.107967, 78.407752, 391.947043], [19.089737, 19.107176, 20.250640, 20.894331, 21.495090, 23.714225, 25.771953, 27.182241, 29.312539, 215.961971]]
### 6
fourier: [[18.630125, 20.176509, 20.398994, 21.025237, 21.123262, 22.548871, 23.049858, 26.562879, 27.864103, 140.583095], [45.648914, 49.238181, 50.003507, 51.375287, 51.513478, 55.214351, 56.133830, 64.995016, 68.039361, 383.181772], [9.365361, 10.279193, 10.394950, 10.665264, 10.863704, 11.369871, 11.618001, 13.594708, 14.134613, 70.707265], [43.885315, 47.479187, 47.971846, 49.495663, 49.655414, 53.102474, 54.325831, 62.449594, 65.597131, 368.376440], [8.640813, 8.700755, 8.801009, 9.160954, 9.337248, 10.080385, 10.322850, 11.568800, 12.220906, 30.455895], [33.432345, 36.631216, 36.887685, 38.027129, 38.588285, 40.561841, 41.666228, 48.238882, 50.433514, 291.469383], [26.650669, 28.878259, 28.880055, 30.087851, 30.100331, 32.239929, 33.394387, 37.656103, 39.938257, 226.882493]]
### 8
fourier: [[50.214213, 54.618989, 55.076513, 56.804705, 57.294709, 60.744887, 62.246279, 71.868064, 75.300603, 401.028241], [23.424263, 25.370303, 25.811127, 26.510751, 26.673162, 28.429819, 29.032121, 33.471186, 35.174767, 199.128113], [61.148317, 65.907473, 66.483305, 68.638038, 69.077268, 73.123178, 75.306044, 86.866838, 90.767959, 536.389400], [23.448047, 24.467160, 25.550180, 25.999173, 26.133104, 27.409431, 28.621037, 32.892703, 34.254721, 197.164327], [0.689812, 0.717393, 0.798684, 0.806440, 0.924295, 0.971271, 0.974081, 1.028381, 1.069638, 42.143010], [48.863383, 52.970727, 53.575764, 55.197342, 55.533152, 59.122827, 60.475711, 69.740640, 73.175912, 353.681198], [21.252883, 22.942465, 23.611974, 24.109713, 24.205786, 25.981182, 26.396892, 30.408502, 32.020026, 145.598074]]
### 10
fourier: [[46.992136, 51.051207, 51.192163, 53.136728, 53.518483, 56.350083, 58.628884, 66.581882, 70.668364, 357.610864], [12.549536, 13.558868, 13.656084, 14.040745, 14.125094, 15.081248, 15.338115, 17.966134, 18.526479, 136.709803], [61.360030, 66.668319, 66.729633, 69.248340, 69.774590, 73.667548, 76.093880, 87.218330, 91.805765, 496.577279], [13.447927, 14.333009, 14.570501, 14.946902, 15.033625, 16.010653, 16.264428, 19.159003, 19.602872, 130.486295], [28.215688, 30.709249, 30.866223, 31.872553, 32.127926, 34.084928, 34.945237, 40.354795, 42.252193, 239.742603], [50.264672, 54.625641, 54.693899, 56.789159, 57.217127, 60.318310, 62.509614, 71.342150, 75.387527, 354.575916], [11.080159, 12.001360, 12.088457, 12.662915, 12.765561, 13.148455, 14.185708, 15.385680, 17.017171, 50.399725]]
### 12
fourier: [[21.555026, 23.448455, 23.690244, 24.594969, 24.866899, 25.983238, 27.241660, 30.498589, 32.859076, 157.336690]]
## 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: 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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"network.12.weight": [
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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[26.470323, 27.850853, 28.117726, 29.116677, 30.968499, 31.352341, 31.667665, 36.862427, 37.210394, 237.195693], [23.100882, 23.792331, 23.952233, 24.404114, 24.508699, 24.993845, 26.353116, 26.436404, 40.340076, 194.864910], [14.660658, 15.993614, 15.997799, 16.079714, 16.168943, 16.754418, 16.870722, 20.884617, 21.697480, 22.399415], [23.712728, 24.980487, 26.237602, 26.332720, 26.913283, 26.998449, 28.547427, 31.994428, 35.283155, 60.347227], [18.889362, 18.945584, 19.837688, 21.208039, 22.155209, 22.181098, 23.697178, 25.000831, 27.790870, 32.789595], [22.591772, 23.133351, 23.362257, 23.908761, 26.572089, 28.661100, 30.699867, 37.962011, 42.571978, 142.364592], [21.744697, 21.953988, 22.318777, 26.595982, 27.324697, 28.715630, 33.386746, 33.737753, 37.665112, 60.236659]]
### 2
fourier: [[22.134189, 22.647769, 23.901876, 24.115311, 26.942039, 27.592663, 29.295310, 35.078709, 35.639425, 207.287208], [10.775887, 10.973670, 12.069269, 12.233258, 12.393869, 12.542286, 14.820111, 14.911588, 21.873190, 33.647405], [29.637602, 30.763923, 31.007277, 31.743173, 32.581793, 32.717946, 34.586131, 42.175327, 43.906269, 171.878897], [31.492406, 34.192899, 34.399059, 37.794817, 40.792359, 42.629913, 44.337431, 44.451656, 49.483311, 246.436898], [20.402857, 22.027138, 22.526322, 22.667593, 22.773128, 23.599498, 26.632569, 28.070344, 29.940690, 133.474358], [19.853919, 20.964930, 22.290445, 22.942872, 25.015951, 25.934822, 26.789110, 28.985795, 31.496184, 224.503918], [9.810116, 9.967362, 10.650538, 10.732741, 11.819454, 12.677889, 13.768536, 14.580006, 16.450076, 40.542787]]
### 4
fourier: [[3.606807, 3.651496, 3.671255, 4.069843, 4.131852, 4.159198, 4.307886, 4.818700, 5.482416, 72.183279], [36.049659, 36.147522, 36.620970, 38.607788, 39.929010, 40.256919, 43.268890, 50.946080, 51.062505, 267.939066], [16.383519, 16.554497, 17.217537, 18.558741, 18.650788, 18.797751, 22.593048, 23.579339, 24.324494, 177.213123], [8.530675, 9.439948, 9.695497, 9.718922, 10.380601, 10.534987, 13.136777, 13.677292, 14.002068, 120.347205], [25.311471, 26.815634, 27.321414, 28.599996, 28.677762, 29.607447, 30.896378, 37.821927, 38.270983, 205.801619], [53.662699, 56.540610, 58.803752, 59.412508, 60.265251, 62.396834, 65.037008, 78.107967, 78.407752, 391.947043], [19.089737, 19.107176, 20.250640, 20.894331, 21.495090, 23.714225, 25.771953, 27.182241, 29.312539, 215.961971]]
### 6
fourier: [[18.630125, 20.176509, 20.398994, 21.025237, 21.123262, 22.548871, 23.049858, 26.562879, 27.864103, 140.583095], [45.648914, 49.238181, 50.003507, 51.375287, 51.513478, 55.214351, 56.133830, 64.995016, 68.039361, 383.181772], [9.365361, 10.279193, 10.394950, 10.665264, 10.863704, 11.369871, 11.618001, 13.594708, 14.134613, 70.707265], [43.885315, 47.479187, 47.971846, 49.495663, 49.655414, 53.102474, 54.325831, 62.449594, 65.597131, 368.376440], [8.640813, 8.700755, 8.801009, 9.160954, 9.337248, 10.080385, 10.322850, 11.568800, 12.220906, 30.455895], [33.432345, 36.631216, 36.887685, 38.027129, 38.588285, 40.561841, 41.666228, 48.238882, 50.433514, 291.469383], [26.650669, 28.878259, 28.880055, 30.087851, 30.100331, 32.239929, 33.394387, 37.656103, 39.938257, 226.882493]]
### 8
fourier: [[50.214213, 54.618989, 55.076513, 56.804705, 57.294709, 60.744887, 62.246279, 71.868064, 75.300603, 401.028241], [23.424263, 25.370303, 25.811127, 26.510751, 26.673162, 28.429819, 29.032121, 33.471186, 35.174767, 199.128113], [61.148317, 65.907473, 66.483305, 68.638038, 69.077268, 73.123178, 75.306044, 86.866838, 90.767959, 536.389400], [23.448047, 24.467160, 25.550180, 25.999173, 26.133104, 27.409431, 28.621037, 32.892703, 34.254721, 197.164327], [0.689812, 0.717393, 0.798684, 0.806440, 0.924295, 0.971271, 0.974081, 1.028381, 1.069638, 42.143010], [48.863383, 52.970727, 53.575764, 55.197342, 55.533152, 59.122827, 60.475711, 69.740640, 73.175912, 353.681198], [21.252883, 22.942465, 23.611974, 24.109713, 24.205786, 25.981182, 26.396892, 30.408502, 32.020026, 145.598074]]
### 10
fourier: [[46.992136, 51.051207, 51.192163, 53.136728, 53.518483, 56.350083, 58.628884, 66.581882, 70.668364, 357.610864], [12.549536, 13.558868, 13.656084, 14.040745, 14.125094, 15.081248, 15.338115, 17.966134, 18.526479, 136.709803], [61.360030, 66.668319, 66.729633, 69.248340, 69.774590, 73.667548, 76.093880, 87.218330, 91.805765, 496.577279], [13.447927, 14.333009, 14.570501, 14.946902, 15.033625, 16.010653, 16.264428, 19.159003, 19.602872, 130.486295], [28.215688, 30.709249, 30.866223, 31.872553, 32.127926, 34.084928, 34.945237, 40.354795, 42.252193, 239.742603], [50.264672, 54.625641, 54.693899, 56.789159, 57.217127, 60.318310, 62.509614, 71.342150, 75.387527, 354.575916], [11.080159, 12.001360, 12.088457, 12.662915, 12.765561, 13.148455, 14.185708, 15.385680, 17.017171, 50.399725]]
### 12
fourier: [[21.555026, 23.448455, 23.690244, 24.594969, 24.866899, 25.983238, 27.241660, 30.498589, 32.859076, 157.336690]]
## 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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334
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{"target_pattern": "palindrome", "degraded_accuracy": 0.68, "improved_accuracy": 0.96, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5241, "learning_rate": 0.03611234983810533, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[27.228187, 27.527035, 27.738479, 29.495712, 32.103750, 32.371933, 33.927061, 39.347201, 41.090785, 79.258079], [15.613073, 15.781265, 16.579379, 17.179451, 17.808866, 18.486154, 19.086322, 20.399029, 23.364399, 75.316278], [17.063697, 17.295852, 18.235822, 18.518383, 20.732469, 20.975453, 22.596170, 25.256695, 29.005117, 155.774322], [34.142590, 34.410097, 36.978435, 39.131654, 48.037487, 53.516517, 53.679526, 58.045059, 60.725704, 274.709634], [23.422586, 23.819676, 24.024719, 25.227104, 25.459938, 29.423365, 30.086211, 35.188975, 37.675743, 85.159277], [17.237718, 17.496583, 18.374111, 21.469247, 21.594621, 22.638809, 26.560334, 27.575587, 27.712891, 32.364377], [19.595944, 19.802891, 20.781519, 20.912037, 21.154445, 21.348510, 23.022540, 25.719642, 27.142605, 191.500619], [19.947892, 19.961926, 21.992314, 22.271170, 22.976126, 24.257615, 25.212538, 25.357392, 27.338293, 28.329472]]
### 2
fourier: [[9.102399, 9.437710, 9.870330, 10.731500, 11.187973, 12.062132, 12.471127, 12.947483, 13.354017, 13.514965], [18.973671, 19.890960, 21.064558, 21.472528, 24.691698, 25.637360, 28.072603, 28.149008, 29.168736, 34.094848], [12.397272, 12.481548, 12.540996, 13.278448, 13.347516, 13.443333, 17.165256, 19.668197, 21.696766, 144.645957], [14.908320, 15.173468, 15.372218, 16.288856, 17.185958, 17.402154, 19.070547, 24.417010, 27.489056, 203.670786], [14.791567, 16.049981, 16.756519, 16.886906, 17.354660, 17.861384, 18.088109, 18.807043, 23.010224, 80.938988], [11.685273, 11.914637, 12.184955, 12.447817, 13.294171, 14.107177, 14.764187, 15.201037, 18.572872, 129.929483], [22.354731, 27.246105, 27.879839, 28.209463, 29.877871, 39.363062, 40.449297, 41.595154, 43.360343, 182.736091], [15.913530, 16.274222, 16.785972, 17.232723, 18.147225, 18.247460, 18.291883, 21.184166, 24.316057, 202.428792]]
### 4
fourier: [[7.813710, 8.095134, 10.255551, 10.522903, 10.608479, 12.141672, 12.399767, 13.630703, 14.772837, 22.252392], [11.893621, 12.961721, 15.710601, 15.945268, 15.987393, 17.149053, 17.894640, 19.293879, 21.540170, 33.281228], [11.721781, 14.677058, 15.773635, 16.911603, 16.980793, 19.759417, 20.004890, 20.068749, 22.253140, 48.670672], [4.126562, 4.226725, 4.381939, 5.030384, 5.838261, 6.942137, 7.171246, 7.349088, 7.383555, 7.449522], [13.309583, 14.920305, 18.103833, 18.206780, 18.834703, 22.556414, 22.676261, 24.198671, 25.947749, 91.417981], [4.223769, 4.312513, 4.742237, 4.812790, 7.007603, 7.346892, 7.420288, 7.438922, 7.685839, 81.860246], [11.135853, 13.724245, 14.789513, 15.510771, 16.319103, 17.757826, 17.981601, 18.039946, 20.610329, 40.861408], [13.123725, 14.523564, 17.962516, 19.125093, 19.248518, 19.894111, 20.752083, 20.824851, 21.305279, 23.191289]]
### 6
fourier: [[3.266863, 3.328661, 3.397907, 3.656905, 4.115181, 4.354643, 4.446287, 4.970141, 5.222225, 51.613998], [14.096915, 14.220243, 18.688695, 18.957034, 19.054952, 20.099365, 20.141708, 20.264508, 20.403989, 23.025222], [8.602502, 9.434374, 9.887883, 10.648822, 12.020493, 13.573560, 15.340668, 15.598625, 15.926890, 105.284653], [15.394847, 19.913363, 19.982525, 20.183298, 20.755142, 20.950707, 21.924698, 21.968069, 22.483702, 23.886984], [14.467252, 18.089084, 20.010805, 20.113548, 21.106947, 23.828060, 23.839302, 23.926884, 26.572010, 48.939184], [13.341430, 13.422819, 16.137311, 16.778207, 17.308764, 21.304057, 22.124451, 22.812893, 24.698540, 86.074772], [9.298435, 10.081400, 10.083461, 10.721222, 10.890545, 11.136743, 11.486586, 11.949802, 12.160387, 12.453362], [15.681295, 19.835881, 21.561366, 22.311303, 23.002323, 26.096032, 26.191828, 26.205211, 29.033941, 51.934171]]
### 8
fourier: [[6.938363, 6.986429, 7.844202, 8.566313, 8.689361, 8.695183, 8.719185, 9.586909, 10.599567, 24.880211], [5.062356, 5.149090, 6.108943, 6.279506, 6.294348, 6.396870, 6.446724, 7.248211, 8.106090, 21.472101], [8.751346, 10.098130, 10.282296, 10.595239, 11.134064, 11.255501, 11.696476, 12.297519, 12.540447, 13.252823], [9.723969, 10.092065, 10.211832, 10.419180, 10.483764, 11.264260, 11.538093, 13.312758, 13.549669, 21.307529], [8.892273, 11.200320, 11.284079, 11.643054, 12.145043, 12.365777, 12.485927, 12.502862, 14.062951, 41.893800], [6.752380, 8.496715, 8.644820, 8.682496, 8.871943, 9.068363, 9.302527, 9.593149, 10.042648, 11.581023], [12.197313, 15.560136, 16.563447, 17.309313, 17.509825, 20.042328, 20.489151, 20.821244, 22.246759, 62.770738], [20.935452, 25.312319, 27.624284, 29.342893, 29.788982, 33.284967, 34.004418, 34.730177, 38.086887, 117.953980]]
### 10
fourier: [[34.658737, 35.504215, 35.524483, 36.574688, 40.421701, 41.449512, 42.309928, 45.287128, 45.782953, 78.494415], [26.980286, 34.538899, 35.189415, 35.577137, 36.504269, 36.760439, 37.053597, 38.689748, 42.713208, 71.724974], [30.356599, 36.964735, 37.466303, 37.629985, 37.649787, 38.033527, 39.669204, 42.149082, 45.002514, 77.695607], [11.571473, 11.857611, 11.861984, 12.278726, 13.186828, 13.554660, 13.624685, 13.994821, 15.285698, 16.222131], [9.276565, 10.242526, 10.269379, 10.426674, 11.144304, 11.242010, 11.608033, 12.444376, 12.776844, 16.860542], [8.620603, 8.885719, 8.969770, 9.251998, 9.844478, 10.173605, 10.209552, 10.464209, 11.676607, 12.311555], [22.463399, 22.969897, 23.390107, 26.246189, 28.384445, 29.414181, 29.862756, 30.307913, 32.756410, 32.956860], [16.108483, 20.630319, 21.207919, 21.631983, 22.020977, 22.248462, 22.319780, 23.238544, 25.848965, 80.168435]]
### 12
fourier: [[37.775732, 52.556058, 52.774886, 54.475453, 56.564261, 64.350799, 69.987691, 70.436798, 70.485505, 226.950726]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[27.228187, 27.527035, 27.738479, 29.495712, 32.103750, 32.371933, 33.927061, 39.347201, 41.090785, 79.258079], [15.613073, 15.781265, 16.579379, 17.179451, 17.808866, 18.486154, 19.086322, 20.399029, 23.364399, 75.316278], [17.063697, 17.295852, 18.235822, 18.518383, 20.732469, 20.975453, 22.596170, 25.256695, 29.005117, 155.774322], [34.142590, 34.410097, 36.978435, 39.131654, 48.037487, 53.516517, 53.679526, 58.045059, 60.725704, 274.709634], [23.422586, 23.819676, 24.024719, 25.227104, 25.459938, 29.423365, 30.086211, 35.188975, 37.675743, 85.159277], [17.237718, 17.496583, 18.374111, 21.469247, 21.594621, 22.638809, 26.560334, 27.575587, 27.712891, 32.364377], [19.595944, 19.802891, 20.781519, 20.912037, 21.154445, 21.348510, 23.022540, 25.719642, 27.142605, 191.500619], [19.947892, 19.961926, 21.992314, 22.271170, 22.976126, 24.257615, 25.212538, 25.357392, 27.338293, 28.329472]]
### 2
fourier: [[9.102399, 9.437710, 9.870330, 10.731500, 11.187973, 12.062132, 12.471127, 12.947483, 13.354017, 13.514965], [18.973671, 19.890960, 21.064558, 21.472528, 24.691698, 25.637360, 28.072603, 28.149008, 29.168736, 34.094848], [12.397272, 12.481548, 12.540996, 13.278448, 13.347516, 13.443333, 17.165256, 19.668197, 21.696766, 144.645957], [14.908320, 15.173468, 15.372218, 16.288856, 17.185958, 17.402154, 19.070547, 24.417010, 27.489056, 203.670786], [14.791567, 16.049981, 16.756519, 16.886906, 17.354660, 17.861384, 18.088109, 18.807043, 23.010224, 80.938988], [11.685273, 11.914637, 12.184955, 12.447817, 13.294171, 14.107177, 14.764187, 15.201037, 18.572872, 129.929483], [22.354731, 27.246105, 27.879839, 28.209463, 29.877871, 39.363062, 40.449297, 41.595154, 43.360343, 182.736091], [15.913530, 16.274222, 16.785972, 17.232723, 18.147225, 18.247460, 18.291883, 21.184166, 24.316057, 202.428792]]
### 4
fourier: [[7.813710, 8.095134, 10.255551, 10.522903, 10.608479, 12.141672, 12.399767, 13.630703, 14.772837, 22.252392], [11.893621, 12.961721, 15.710601, 15.945268, 15.987393, 17.149053, 17.894640, 19.293879, 21.540170, 33.281228], [11.721781, 14.677058, 15.773635, 16.911603, 16.980793, 19.759417, 20.004890, 20.068749, 22.253140, 48.670672], [4.126562, 4.226725, 4.381939, 5.030384, 5.838261, 6.942137, 7.171246, 7.349088, 7.383555, 7.449522], [13.309583, 14.920305, 18.103833, 18.206780, 18.834703, 22.556414, 22.676261, 24.198671, 25.947749, 91.417981], [4.223769, 4.312513, 4.742237, 4.812790, 7.007603, 7.346892, 7.420288, 7.438922, 7.685839, 81.860246], [11.135853, 13.724245, 14.789513, 15.510771, 16.319103, 17.757826, 17.981601, 18.039946, 20.610329, 40.861408], [13.123725, 14.523564, 17.962516, 19.125093, 19.248518, 19.894111, 20.752083, 20.824851, 21.305279, 23.191289]]
### 6
fourier: [[3.266863, 3.328661, 3.397907, 3.656905, 4.115181, 4.354643, 4.446287, 4.970141, 5.222225, 51.613998], [14.096915, 14.220243, 18.688695, 18.957034, 19.054952, 20.099365, 20.141708, 20.264508, 20.403989, 23.025222], [8.602502, 9.434374, 9.887883, 10.648822, 12.020493, 13.573560, 15.340668, 15.598625, 15.926890, 105.284653], [15.394847, 19.913363, 19.982525, 20.183298, 20.755142, 20.950707, 21.924698, 21.968069, 22.483702, 23.886984], [14.467252, 18.089084, 20.010805, 20.113548, 21.106947, 23.828060, 23.839302, 23.926884, 26.572010, 48.939184], [13.341430, 13.422819, 16.137311, 16.778207, 17.308764, 21.304057, 22.124451, 22.812893, 24.698540, 86.074772], [9.298435, 10.081400, 10.083461, 10.721222, 10.890545, 11.136743, 11.486586, 11.949802, 12.160387, 12.453362], [15.681295, 19.835881, 21.561366, 22.311303, 23.002323, 26.096032, 26.191828, 26.205211, 29.033941, 51.934171]]
### 8
fourier: [[6.938363, 6.986429, 7.844202, 8.566313, 8.689361, 8.695183, 8.719185, 9.586909, 10.599567, 24.880211], [5.062356, 5.149090, 6.108943, 6.279506, 6.294348, 6.396870, 6.446724, 7.248211, 8.106090, 21.472101], [8.751346, 10.098130, 10.282296, 10.595239, 11.134064, 11.255501, 11.696476, 12.297519, 12.540447, 13.252823], [9.723969, 10.092065, 10.211832, 10.419180, 10.483764, 11.264260, 11.538093, 13.312758, 13.549669, 21.307529], [8.892273, 11.200320, 11.284079, 11.643054, 12.145043, 12.365777, 12.485927, 12.502862, 14.062951, 41.893800], [6.752380, 8.496715, 8.644820, 8.682496, 8.871943, 9.068363, 9.302527, 9.593149, 10.042648, 11.581023], [12.197313, 15.560136, 16.563447, 17.309313, 17.509825, 20.042328, 20.489151, 20.821244, 22.246759, 62.770738], [20.935452, 25.312319, 27.624284, 29.342893, 29.788982, 33.284967, 34.004418, 34.730177, 38.086887, 117.953980]]
### 10
fourier: [[34.658737, 35.504215, 35.524483, 36.574688, 40.421701, 41.449512, 42.309928, 45.287128, 45.782953, 78.494415], [26.980286, 34.538899, 35.189415, 35.577137, 36.504269, 36.760439, 37.053597, 38.689748, 42.713208, 71.724974], [30.356599, 36.964735, 37.466303, 37.629985, 37.649787, 38.033527, 39.669204, 42.149082, 45.002514, 77.695607], [11.571473, 11.857611, 11.861984, 12.278726, 13.186828, 13.554660, 13.624685, 13.994821, 15.285698, 16.222131], [9.276565, 10.242526, 10.269379, 10.426674, 11.144304, 11.242010, 11.608033, 12.444376, 12.776844, 16.860542], [8.620603, 8.885719, 8.969770, 9.251998, 9.844478, 10.173605, 10.209552, 10.464209, 11.676607, 12.311555], [22.463399, 22.969897, 23.390107, 26.246189, 28.384445, 29.414181, 29.862756, 30.307913, 32.756410, 32.956860], [16.108483, 20.630319, 21.207919, 21.631983, 22.020977, 22.248462, 22.319780, 23.238544, 25.848965, 80.168435]]
### 12
fourier: [[37.775732, 52.556058, 52.774886, 54.475453, 56.564261, 64.350799, 69.987691, 70.436798, 70.485505, 226.950726]]
## 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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335
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.6, "improved_accuracy": 0.8, "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": 3169, "learning_rate": 0.0980318748633875, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.637097, 30.117530, 30.544920, 32.769842, 34.074999, 37.539514, 38.092812, 38.942135, 46.911388, 177.785508], [53.379477, 53.825951, 54.487324, 55.821951, 56.532009, 57.188145, 61.760780, 64.446518, 79.152388, 298.310460], [16.457606, 18.115840, 19.397412, 21.416492, 23.699022, 24.538150, 27.471239, 28.741653, 30.422131, 52.738695], [30.235671, 30.914105, 31.197295, 31.682809, 33.838824, 35.942546, 38.358903, 40.443377, 43.148117, 184.299294], [29.117596, 30.328515, 30.544991, 30.546102, 30.904919, 32.310525, 34.116012, 36.453058, 38.596615, 38.777624], [19.975652, 20.488415, 21.867539, 22.306293, 24.978139, 26.115224, 26.636523, 26.992519, 29.433843, 92.451264], [37.288011, 37.403576, 37.821180, 37.926587, 39.150879, 40.457762, 41.377473, 43.210656, 43.669949, 56.571779], [31.094628, 31.711132, 31.876752, 33.777028, 34.690224, 36.331567, 36.404403, 45.014744, 55.099410, 125.495695]]
### 2
fourier: [[21.925497, 22.497189, 24.039361, 27.191690, 27.345220, 27.363484, 29.643968, 30.048184, 30.929039, 56.274770], [15.786721, 16.679177, 17.239784, 17.978189, 18.281593, 19.875703, 20.082430, 24.068611, 25.125623, 152.363183], [63.856981, 67.596734, 68.465982, 69.496402, 71.541359, 72.287560, 97.704908, 111.329053, 114.991133, 397.901167], [72.180434, 73.041031, 74.574715, 82.166204, 82.483909, 84.305448, 110.333861, 126.194825, 138.045936, 482.444814], [20.168774, 20.541403, 20.700404, 23.048713, 23.257486, 24.802516, 27.658563, 31.209136, 35.819299, 273.696914], [39.830006, 40.495836, 43.406778, 44.718818, 45.960869, 46.413915, 52.528485, 54.002648, 59.142199, 63.338991], [25.363137, 25.910145, 26.070337, 26.262125, 26.731414, 27.426937, 30.492073, 33.891211, 37.050384, 208.829368], [19.392846, 19.558565, 19.661724, 20.810746, 20.859350, 22.301156, 24.432407, 32.728896, 33.531613, 183.591166]]
### 4
fourier: [[11.112997, 11.655831, 12.440790, 12.594839, 12.987800, 13.823561, 14.604720, 14.829934, 15.971077, 107.531542], [39.312646, 43.723118, 44.324710, 48.322547, 49.764032, 53.543992, 53.970774, 63.700845, 64.417041, 125.473478], [155.604372, 157.470723, 161.298488, 170.195959, 181.198006, 190.698428, 226.278611, 273.753435, 288.495409, 921.106061], [97.712224, 98.103478, 102.925472, 109.004973, 113.222241, 119.975737, 145.169121, 174.060491, 184.372793, 526.209405], [45.847208, 46.967491, 47.317006, 50.334158, 50.663143, 54.928373, 69.519164, 73.025260, 75.611511, 360.528941], [65.116860, 70.641637, 71.833371, 73.771655, 77.470898, 83.732662, 98.414116, 111.891041, 116.307255, 246.392476], [8.968149, 9.302534, 10.342625, 11.262290, 12.669830, 13.243215, 13.343859, 15.804745, 16.036313, 122.800276], [32.699771, 35.355884, 35.511836, 37.512674, 38.864350, 42.268871, 43.141782, 56.150385, 59.267638, 208.717492]]
### 6
fourier: [[27.789814, 27.844342, 27.944732, 31.096620, 32.767384, 35.310600, 36.468061, 37.768948, 43.176564, 254.769900], [21.909907, 22.173902, 22.708053, 23.777917, 23.975246, 24.960509, 25.099009, 25.441659, 32.695668, 34.144183], [34.505628, 35.504838, 37.059290, 41.146695, 43.780294, 45.552847, 53.194381, 58.627334, 64.413442, 86.705465], [31.653728, 33.658384, 35.292876, 35.685568, 39.501426, 42.116887, 50.389491, 54.910834, 59.560012, 62.255508], [22.997410, 23.085616, 23.760946, 25.088664, 25.764498, 27.887582, 27.930505, 29.230862, 34.268038, 173.581429], [39.499418, 41.442070, 41.611607, 48.501558, 51.772163, 53.024558, 57.081629, 63.544112, 72.579866, 84.864020], [35.501878, 35.811428, 36.862837, 40.548069, 40.835209, 45.495345, 45.967711, 49.891700, 54.268508, 261.984199], [21.371331, 21.380341, 21.459551, 23.762450, 24.178097, 27.145539, 27.276082, 29.691827, 32.806679, 214.324580]]
### 8
fourier: [[37.503516, 37.839538, 39.600413, 40.123595, 44.429546, 47.126094, 57.172462, 67.420661, 67.520162, 174.589937]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.637097, 30.117530, 30.544920, 32.769842, 34.074999, 37.539514, 38.092812, 38.942135, 46.911388, 177.785508], [53.379477, 53.825951, 54.487324, 55.821951, 56.532009, 57.188145, 61.760780, 64.446518, 79.152388, 298.310460], [16.457606, 18.115840, 19.397412, 21.416492, 23.699022, 24.538150, 27.471239, 28.741653, 30.422131, 52.738695], [30.235671, 30.914105, 31.197295, 31.682809, 33.838824, 35.942546, 38.358903, 40.443377, 43.148117, 184.299294], [29.117596, 30.328515, 30.544991, 30.546102, 30.904919, 32.310525, 34.116012, 36.453058, 38.596615, 38.777624], [19.975652, 20.488415, 21.867539, 22.306293, 24.978139, 26.115224, 26.636523, 26.992519, 29.433843, 92.451264], [37.288011, 37.403576, 37.821180, 37.926587, 39.150879, 40.457762, 41.377473, 43.210656, 43.669949, 56.571779], [31.094628, 31.711132, 31.876752, 33.777028, 34.690224, 36.331567, 36.404403, 45.014744, 55.099410, 125.495695]]
### 2
fourier: [[21.925497, 22.497189, 24.039361, 27.191690, 27.345220, 27.363484, 29.643968, 30.048184, 30.929039, 56.274770], [15.786721, 16.679177, 17.239784, 17.978189, 18.281593, 19.875703, 20.082430, 24.068611, 25.125623, 152.363183], [63.856981, 67.596734, 68.465982, 69.496402, 71.541359, 72.287560, 97.704908, 111.329053, 114.991133, 397.901167], [72.180434, 73.041031, 74.574715, 82.166204, 82.483909, 84.305448, 110.333861, 126.194825, 138.045936, 482.444814], [20.168774, 20.541403, 20.700404, 23.048713, 23.257486, 24.802516, 27.658563, 31.209136, 35.819299, 273.696914], [39.830006, 40.495836, 43.406778, 44.718818, 45.960869, 46.413915, 52.528485, 54.002648, 59.142199, 63.338991], [25.363137, 25.910145, 26.070337, 26.262125, 26.731414, 27.426937, 30.492073, 33.891211, 37.050384, 208.829368], [19.392846, 19.558565, 19.661724, 20.810746, 20.859350, 22.301156, 24.432407, 32.728896, 33.531613, 183.591166]]
### 4
fourier: [[11.112997, 11.655831, 12.440790, 12.594839, 12.987800, 13.823561, 14.604720, 14.829934, 15.971077, 107.531542], [39.312646, 43.723118, 44.324710, 48.322547, 49.764032, 53.543992, 53.970774, 63.700845, 64.417041, 125.473478], [155.604372, 157.470723, 161.298488, 170.195959, 181.198006, 190.698428, 226.278611, 273.753435, 288.495409, 921.106061], [97.712224, 98.103478, 102.925472, 109.004973, 113.222241, 119.975737, 145.169121, 174.060491, 184.372793, 526.209405], [45.847208, 46.967491, 47.317006, 50.334158, 50.663143, 54.928373, 69.519164, 73.025260, 75.611511, 360.528941], [65.116860, 70.641637, 71.833371, 73.771655, 77.470898, 83.732662, 98.414116, 111.891041, 116.307255, 246.392476], [8.968149, 9.302534, 10.342625, 11.262290, 12.669830, 13.243215, 13.343859, 15.804745, 16.036313, 122.800276], [32.699771, 35.355884, 35.511836, 37.512674, 38.864350, 42.268871, 43.141782, 56.150385, 59.267638, 208.717492]]
### 6
fourier: [[27.789814, 27.844342, 27.944732, 31.096620, 32.767384, 35.310600, 36.468061, 37.768948, 43.176564, 254.769900], [21.909907, 22.173902, 22.708053, 23.777917, 23.975246, 24.960509, 25.099009, 25.441659, 32.695668, 34.144183], [34.505628, 35.504838, 37.059290, 41.146695, 43.780294, 45.552847, 53.194381, 58.627334, 64.413442, 86.705465], [31.653728, 33.658384, 35.292876, 35.685568, 39.501426, 42.116887, 50.389491, 54.910834, 59.560012, 62.255508], [22.997410, 23.085616, 23.760946, 25.088664, 25.764498, 27.887582, 27.930505, 29.230862, 34.268038, 173.581429], [39.499418, 41.442070, 41.611607, 48.501558, 51.772163, 53.024558, 57.081629, 63.544112, 72.579866, 84.864020], [35.501878, 35.811428, 36.862837, 40.548069, 40.835209, 45.495345, 45.967711, 49.891700, 54.268508, 261.984199], [21.371331, 21.380341, 21.459551, 23.762450, 24.178097, 27.145539, 27.276082, 29.691827, 32.806679, 214.324580]]
### 8
fourier: [[37.503516, 37.839538, 39.600413, 40.123595, 44.429546, 47.126094, 57.172462, 67.420661, 67.520162, 174.589937]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6887840628623962, "train_acc": 0.55, "val_loss": 0.7201297283172607, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7260330319404602, "train_acc": 0.545, "val_loss": 0.7247120141983032, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6998516619205475, "train_acc": 0.45, "val_loss": 0.6864566206932068, "val_acc": 0.6}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6923664212226868, "train_acc": 0.55, "val_loss": 0.6686652898788452, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6734951138496399, "train_acc": 0.53, "val_loss": 0.6329292058944702, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6276575028896332, "train_acc": 0.61, "val_loss": 0.5922743082046509, "val_acc": 0.58}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6344737410545349, "train_acc": 0.635, "val_loss": 0.5721785426139832, "val_acc": 0.56}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5961644947528839, "train_acc": 0.63, "val_loss": 0.6569093465805054, "val_acc": 0.58}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5940937697887421, "train_acc": 0.62, "val_loss": 0.5952847003936768, "val_acc": 0.56}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5829212367534637, "train_acc": 0.635, "val_loss": 0.5556155443191528, "val_acc": 0.6}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.5878987610340118, "train_acc": 0.59, "val_loss": 0.5526378750801086, "val_acc": 0.58}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.5513502061367035, "train_acc": 0.65, "val_loss": 0.5332778096199036, "val_acc": 0.66}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.5410024523735046, "train_acc": 0.695, "val_loss": 0.5184329748153687, "val_acc": 0.7}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.5371010899543762, "train_acc": 0.69, "val_loss": 0.4334108829498291, "val_acc": 0.8}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7201297283172607, "final_val_loss": 0.6686652898788452, "initial_val_acc": 0.6, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.6329292058944702, "final_val_loss": 0.4334108829498291, "initial_val_acc": 0.58, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 13}, "improvement": 0.20000000000000007, "first_improvement_epoch": 3}}
|
336
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4034, "learning_rate": 0.08155806071968108, "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: [[18.954055, 21.348452, 21.716878, 21.827676, 21.997157, 22.839441, 23.027325, 26.543106, 36.398441, 235.274479], [24.563144, 24.685202, 26.198357, 26.329176, 30.337192, 31.720866, 32.408165, 36.198644, 42.074272, 42.553065], [27.077965, 27.215648, 28.154180, 28.500364, 30.522377, 32.874212, 33.067152, 38.317148, 40.202422, 305.096698], [25.846776, 26.064773, 28.461745, 28.592518, 30.653374, 31.934733, 32.631072, 41.099947, 41.522403, 268.596079], [18.206230, 18.663203, 20.786371, 21.392323, 22.242148, 23.090865, 23.170138, 23.610003, 27.308380, 30.182470], [26.764358, 28.052138, 28.454967, 28.679406, 30.425069, 31.119373, 32.558061, 33.437539, 37.194808, 128.323551], [29.630578, 31.247459, 34.089776, 34.934402, 36.047126, 36.622242, 42.331978, 43.126716, 44.392241, 99.064864]]
### 2
fourier: [[26.687775, 27.555489, 28.595408, 28.840698, 30.137494, 31.226788, 31.438099, 36.308483, 47.012297, 189.190469], [11.038096, 11.393959, 11.492161, 11.518712, 12.427051, 12.482977, 13.345687, 13.447675, 19.645975, 147.726861], [7.128667, 7.254041, 8.200614, 8.240399, 8.939741, 9.301179, 10.156125, 10.395746, 12.838362, 98.834384], [18.106442, 18.351687, 18.510578, 18.884996, 18.906462, 19.600207, 21.506504, 21.867781, 31.358835, 156.572661], [37.853455, 41.202912, 41.406620, 43.027447, 44.327447, 46.084503, 46.800076, 51.775721, 68.487892, 275.777684], [9.664924, 10.320996, 10.464681, 10.881258, 11.569302, 12.747242, 13.490756, 13.878232, 18.399113, 76.510239], [13.275179, 14.566567, 14.720417, 14.981557, 15.189512, 15.637035, 15.790503, 16.622862, 23.978232, 140.670169]]
### 4
fourier: [[0.694478, 0.730830, 0.750748, 0.755204, 0.755210, 0.764811, 0.888847, 0.891106, 1.088193, 41.539235], [13.357577, 13.617026, 14.119559, 14.202563, 15.016413, 15.309901, 15.374504, 17.469421, 23.674933, 127.926281], [15.097419, 15.577358, 15.950551, 16.131852, 17.216246, 17.315711, 17.478554, 19.724261, 26.941385, 159.216966], [33.782468, 33.897013, 35.180634, 35.832261, 37.319323, 38.429012, 38.447682, 43.903296, 59.161501, 271.587937], [36.392951, 36.788412, 38.164854, 38.644682, 40.533901, 41.544701, 41.637472, 47.435698, 64.091977, 287.939880], [59.815242, 60.813686, 63.067852, 63.572512, 67.044923, 68.469915, 68.715530, 78.144127, 105.800868, 449.499676], [49.223338, 50.040739, 51.895842, 52.314593, 55.167648, 56.343189, 56.544177, 64.304420, 87.060372, 353.027622]]
### 6
fourier: [[105.392327, 107.027294, 111.651533, 112.032919, 117.970214, 120.819807, 120.856445, 137.724586, 186.303877, 793.045140], [40.696212, 41.295181, 42.966221, 43.252443, 45.515647, 46.600785, 46.661081, 53.143488, 71.891637, 309.779155], [68.495679, 69.498120, 72.659625, 72.796932, 76.593840, 78.473309, 78.521337, 89.511141, 121.001101, 534.187209], [33.450936, 34.023807, 35.505611, 35.571788, 37.508750, 38.388764, 38.399276, 43.741485, 59.207162, 295.105738], [6.913974, 7.091465, 7.366838, 7.376275, 7.825234, 7.970062, 7.986664, 9.064843, 12.319138, 60.727405], [15.461408, 15.662477, 16.426303, 16.514958, 17.256159, 17.672011, 17.743345, 20.222372, 27.281459, 135.125936], [34.703722, 35.192865, 36.735117, 36.878373, 38.784871, 39.753875, 39.754608, 45.330536, 61.278399, 320.056594]]
### 8
fourier: [[75.035642, 76.199681, 79.491978, 79.763514, 83.990662, 86.019472, 86.045553, 98.055083, 132.641835, 562.403456], [33.131145, 33.645113, 35.098789, 35.218681, 37.085130, 37.980929, 37.992446, 43.295116, 58.566505, 258.288344], [7.973579, 8.097275, 8.447127, 8.475981, 8.925174, 9.140763, 9.143535, 10.419714, 14.095037, 75.318593], [7.338574, 7.452418, 7.774408, 7.800964, 8.214384, 8.412804, 8.415356, 9.589901, 12.972526, 104.507374], [20.983557, 21.309079, 22.229763, 22.305697, 23.487809, 24.055160, 24.062455, 27.420894, 37.093007, 172.247213], [18.793731, 19.085281, 19.909883, 19.977893, 21.036641, 21.544784, 21.551318, 24.559272, 33.222010, 179.267114], [92.788735, 94.228181, 98.299419, 98.635197, 103.862467, 106.371284, 106.403542, 121.254467, 164.024289, 718.162255]]
### 10
fourier: [[20.763358, 21.085463, 21.996485, 22.071622, 23.241330, 23.802729, 23.809946, 27.133142, 36.703756, 175.941562], [43.788428, 44.467725, 46.389004, 46.547464, 49.014291, 50.198241, 50.213464, 57.221841, 77.405578, 365.654906], [4.679474, 4.752067, 4.957386, 4.974320, 5.237939, 5.364462, 5.366089, 6.115043, 8.271989, 39.025154], [59.582706, 60.507024, 63.121302, 63.336915, 66.693519, 68.304512, 68.325226, 77.861495, 105.325408, 411.499136], [1.060373, 1.076823, 1.123348, 1.127185, 1.186922, 1.215592, 1.215961, 1.385674, 1.874440, 24.640362], [26.422548, 26.832445, 27.991770, 28.087387, 29.575907, 30.290319, 30.299504, 34.528457, 46.707605, 223.428111], [54.649052, 55.496830, 57.894636, 58.092398, 61.171060, 62.648661, 62.667658, 71.414291, 96.604097, 444.981141]]
### 12
fourier: [[44.093893, 44.473324, 46.835827, 47.621965, 49.417388, 50.170294, 50.684607, 57.648224, 77.552155, 296.791592]]
## 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: [[18.954055, 21.348452, 21.716878, 21.827676, 21.997157, 22.839441, 23.027325, 26.543106, 36.398441, 235.274479], [24.563144, 24.685202, 26.198357, 26.329176, 30.337192, 31.720866, 32.408165, 36.198644, 42.074272, 42.553065], [27.077965, 27.215648, 28.154180, 28.500364, 30.522377, 32.874212, 33.067152, 38.317148, 40.202422, 305.096698], [25.846776, 26.064773, 28.461745, 28.592518, 30.653374, 31.934733, 32.631072, 41.099947, 41.522403, 268.596079], [18.206230, 18.663203, 20.786371, 21.392323, 22.242148, 23.090865, 23.170138, 23.610003, 27.308380, 30.182470], [26.764358, 28.052138, 28.454967, 28.679406, 30.425069, 31.119373, 32.558061, 33.437539, 37.194808, 128.323551], [29.630578, 31.247459, 34.089776, 34.934402, 36.047126, 36.622242, 42.331978, 43.126716, 44.392241, 99.064864]]
### 2
fourier: [[26.687775, 27.555489, 28.595408, 28.840698, 30.137494, 31.226788, 31.438099, 36.308483, 47.012297, 189.190469], [11.038096, 11.393959, 11.492161, 11.518712, 12.427051, 12.482977, 13.345687, 13.447675, 19.645975, 147.726861], [7.128667, 7.254041, 8.200614, 8.240399, 8.939741, 9.301179, 10.156125, 10.395746, 12.838362, 98.834384], [18.106442, 18.351687, 18.510578, 18.884996, 18.906462, 19.600207, 21.506504, 21.867781, 31.358835, 156.572661], [37.853455, 41.202912, 41.406620, 43.027447, 44.327447, 46.084503, 46.800076, 51.775721, 68.487892, 275.777684], [9.664924, 10.320996, 10.464681, 10.881258, 11.569302, 12.747242, 13.490756, 13.878232, 18.399113, 76.510239], [13.275179, 14.566567, 14.720417, 14.981557, 15.189512, 15.637035, 15.790503, 16.622862, 23.978232, 140.670169]]
### 4
fourier: [[0.694478, 0.730830, 0.750748, 0.755204, 0.755210, 0.764811, 0.888847, 0.891106, 1.088193, 41.539235], [13.357577, 13.617026, 14.119559, 14.202563, 15.016413, 15.309901, 15.374504, 17.469421, 23.674933, 127.926281], [15.097419, 15.577358, 15.950551, 16.131852, 17.216246, 17.315711, 17.478554, 19.724261, 26.941385, 159.216966], [33.782468, 33.897013, 35.180634, 35.832261, 37.319323, 38.429012, 38.447682, 43.903296, 59.161501, 271.587937], [36.392951, 36.788412, 38.164854, 38.644682, 40.533901, 41.544701, 41.637472, 47.435698, 64.091977, 287.939880], [59.815242, 60.813686, 63.067852, 63.572512, 67.044923, 68.469915, 68.715530, 78.144127, 105.800868, 449.499676], [49.223338, 50.040739, 51.895842, 52.314593, 55.167648, 56.343189, 56.544177, 64.304420, 87.060372, 353.027622]]
### 6
fourier: [[105.392327, 107.027294, 111.651533, 112.032919, 117.970214, 120.819807, 120.856445, 137.724586, 186.303877, 793.045140], [40.696212, 41.295181, 42.966221, 43.252443, 45.515647, 46.600785, 46.661081, 53.143488, 71.891637, 309.779155], [68.495679, 69.498120, 72.659625, 72.796932, 76.593840, 78.473309, 78.521337, 89.511141, 121.001101, 534.187209], [33.450936, 34.023807, 35.505611, 35.571788, 37.508750, 38.388764, 38.399276, 43.741485, 59.207162, 295.105738], [6.913974, 7.091465, 7.366838, 7.376275, 7.825234, 7.970062, 7.986664, 9.064843, 12.319138, 60.727405], [15.461408, 15.662477, 16.426303, 16.514958, 17.256159, 17.672011, 17.743345, 20.222372, 27.281459, 135.125936], [34.703722, 35.192865, 36.735117, 36.878373, 38.784871, 39.753875, 39.754608, 45.330536, 61.278399, 320.056594]]
### 8
fourier: [[75.035642, 76.199681, 79.491978, 79.763514, 83.990662, 86.019472, 86.045553, 98.055083, 132.641835, 562.403456], [33.131145, 33.645113, 35.098789, 35.218681, 37.085130, 37.980929, 37.992446, 43.295116, 58.566505, 258.288344], [7.973579, 8.097275, 8.447127, 8.475981, 8.925174, 9.140763, 9.143535, 10.419714, 14.095037, 75.318593], [7.338574, 7.452418, 7.774408, 7.800964, 8.214384, 8.412804, 8.415356, 9.589901, 12.972526, 104.507374], [20.983557, 21.309079, 22.229763, 22.305697, 23.487809, 24.055160, 24.062455, 27.420894, 37.093007, 172.247213], [18.793731, 19.085281, 19.909883, 19.977893, 21.036641, 21.544784, 21.551318, 24.559272, 33.222010, 179.267114], [92.788735, 94.228181, 98.299419, 98.635197, 103.862467, 106.371284, 106.403542, 121.254467, 164.024289, 718.162255]]
### 10
fourier: [[20.763358, 21.085463, 21.996485, 22.071622, 23.241330, 23.802729, 23.809946, 27.133142, 36.703756, 175.941562], [43.788428, 44.467725, 46.389004, 46.547464, 49.014291, 50.198241, 50.213464, 57.221841, 77.405578, 365.654906], [4.679474, 4.752067, 4.957386, 4.974320, 5.237939, 5.364462, 5.366089, 6.115043, 8.271989, 39.025154], [59.582706, 60.507024, 63.121302, 63.336915, 66.693519, 68.304512, 68.325226, 77.861495, 105.325408, 411.499136], [1.060373, 1.076823, 1.123348, 1.127185, 1.186922, 1.215592, 1.215961, 1.385674, 1.874440, 24.640362], [26.422548, 26.832445, 27.991770, 28.087387, 29.575907, 30.290319, 30.299504, 34.528457, 46.707605, 223.428111], [54.649052, 55.496830, 57.894636, 58.092398, 61.171060, 62.648661, 62.667658, 71.414291, 96.604097, 444.981141]]
### 12
fourier: [[44.093893, 44.473324, 46.835827, 47.621965, 49.417388, 50.170294, 50.684607, 57.648224, 77.552155, 296.791592]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7421735525131226, "train_acc": 0.405, "val_loss": 0.6900514364242554, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7103539407253265, "train_acc": 0.405, "val_loss": 0.6918032169342041, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6846840977668762, "train_acc": 0.495, "val_loss": 0.688651442527771, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6714235544204712, "train_acc": 0.595, "val_loss": 0.6861830949783325, "val_acc": 0.46}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6009888648986816, "train_acc": 0.595, "val_loss": 0.6163516640663147, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5854658484458923, "train_acc": 0.51, "val_loss": 0.47109779715538025, "val_acc": 0.46}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.4779272824525833, "train_acc": 0.51, "val_loss": 0.410913348197937, "val_acc": 0.96}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.414368212223053, "train_acc": 0.9, "val_loss": 0.3450249433517456, "val_acc": 0.98}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.361474871635437, "train_acc": 0.91, "val_loss": 0.3021896481513977, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.35536161065101624, "train_acc": 0.905, "val_loss": 0.27134788036346436, "val_acc": 0.98}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.30659186840057373, "train_acc": 0.915, "val_loss": 0.24789249897003174, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.295049324631691, "train_acc": 0.915, "val_loss": 0.22090353071689606, "val_acc": 0.98}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.28477779030799866, "train_acc": 0.91, "val_loss": 0.2009744644165039, "val_acc": 0.98}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.2938664108514786, "train_acc": 0.91, "val_loss": 0.18406158685684204, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.25254789739847183, "train_acc": 0.92, "val_loss": 0.16982382535934448, "val_acc": 0.98}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["decreasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6900514364242554, "final_val_loss": 0.6163516640663147, "initial_val_acc": 0.54, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.47109779715538025, "final_val_loss": 0.16982382535934448, "initial_val_acc": 0.46, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 7}, "improvement": 0.52, "first_improvement_epoch": 4}}
|
337
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.72, "improved_accuracy": 0.96, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2735, "learning_rate": 0.02735410744811779, "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: 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: [[31.751408, 36.516010, 37.237563, 37.273591, 37.815605, 39.492277, 39.518368, 41.273329, 42.305670, 44.463906], [14.174730, 14.257556, 15.241261, 16.544972, 17.221385, 18.016455, 22.373234, 27.122920, 29.481270, 67.158729], [21.967926, 22.321904, 22.751787, 24.007289, 26.589500, 27.560171, 29.111786, 29.938174, 35.385152, 219.320286], [36.883794, 41.827363, 43.608774, 44.705289, 45.400298, 48.079923, 51.671579, 53.894226, 54.566365, 187.504879], [26.680200, 26.761942, 27.086990, 33.743125, 35.398027, 36.131358, 39.994819, 42.224882, 46.926161, 243.724237], [37.458815, 37.552147, 37.927218, 39.546096, 39.630513, 42.518400, 46.765508, 47.400454, 51.166768, 256.626766], [22.449412, 23.319458, 25.147650, 26.606039, 30.378476, 34.364179, 34.484797, 39.753242, 43.796668, 232.126283]]
### 2
fourier: [[25.167914, 27.252667, 29.386062, 32.369515, 38.972914, 39.714485, 43.680185, 45.783356, 51.857246, 239.879642], [23.067538, 24.008141, 25.229442, 26.441449, 29.831463, 29.949833, 31.797050, 33.805148, 39.558968, 71.753394], [21.469287, 23.180188, 24.763261, 24.898909, 25.850031, 26.923528, 28.572101, 31.699373, 34.115932, 59.734942], [24.568388, 25.139210, 26.177112, 26.693954, 26.712356, 27.271252, 30.284241, 34.420774, 34.805741, 217.398899], [86.626973, 87.634131, 87.746655, 94.696416, 95.107040, 99.158137, 109.085271, 115.733584, 119.647853, 702.498003], [26.522340, 27.372666, 28.193953, 29.998850, 32.210516, 33.305968, 34.227625, 39.498141, 42.757893, 294.986318], [32.053650, 32.117061, 32.604727, 33.503777, 34.083873, 35.316748, 38.562988, 45.457880, 45.697994, 273.677821]]
### 4
fourier: [[26.188750, 29.417486, 29.487974, 31.953534, 31.957472, 33.351135, 34.803658, 37.655211, 39.745482, 114.642093], [63.962790, 65.795945, 66.835153, 71.193232, 72.459209, 76.137581, 82.161760, 90.777748, 93.787299, 529.025628], [21.784281, 22.220915, 22.224598, 22.408385, 23.519054, 24.486075, 25.210118, 29.959324, 30.606205, 253.207722], [54.460406, 54.915551, 62.199167, 65.624696, 67.853369, 69.436516, 71.824177, 81.913921, 88.452619, 496.494134], [93.313282, 97.631258, 97.865699, 101.767194, 102.315503, 106.026787, 118.167604, 132.033337, 134.308456, 808.531907], [43.095847, 44.070951, 46.373492, 50.923537, 53.185784, 53.458625, 55.447362, 65.406247, 70.184867, 403.599741], [51.190100, 51.727080, 55.074093, 58.281483, 61.507631, 62.460203, 64.922516, 71.227492, 76.297382, 552.507613]]
### 6
fourier: [[191.599682, 193.343519, 196.804757, 220.329156, 221.849783, 222.877345, 243.632435, 273.235220, 287.722431, 1688.108948], [25.314775, 25.348003, 26.068692, 26.654233, 27.085195, 27.105868, 30.936778, 35.644697, 36.264375, 236.716909], [15.858177, 16.760341, 17.915548, 18.011285, 18.163405, 19.059359, 21.113078, 22.299566, 24.302595, 88.901095], [106.553309, 106.958552, 110.419661, 121.511865, 122.745759, 123.834260, 134.891804, 152.113349, 160.396430, 923.679251], [87.854378, 89.278269, 92.711797, 93.102075, 93.614871, 97.283995, 108.687670, 126.310102, 127.413106, 822.474237], [26.937520, 26.946946, 26.965567, 27.805759, 28.707157, 29.666183, 32.973552, 35.993570, 37.406892, 262.709300], [24.385793, 24.844087, 25.842187, 28.605270, 29.380203, 29.391068, 31.730497, 35.648389, 37.363763, 221.801320]]
### 8
fourier: [[111.112714, 111.787464, 117.614130, 134.914207, 138.468283, 140.421909, 145.796176, 160.569012, 174.000507, 896.958157], [102.947251, 105.621225, 109.775423, 126.982470, 131.028668, 133.505339, 135.956965, 148.829000, 163.039993, 750.428561], [197.577819, 200.187484, 205.342687, 230.463640, 232.615453, 233.528670, 253.672542, 283.957421, 300.401436, 1729.801602], [43.181496, 44.689336, 46.513424, 53.714433, 55.421893, 56.183127, 57.231061, 62.735429, 68.915524, 331.499151], [90.327974, 90.470096, 91.708232, 101.625717, 102.013372, 102.842723, 113.189120, 127.567829, 133.585167, 821.534973], [38.888556, 39.542066, 40.289262, 41.437156, 41.775276, 41.842282, 47.900091, 55.421568, 55.804176, 407.940989], [40.329170, 40.480510, 41.603395, 45.922403, 46.276814, 46.689478, 50.971484, 57.449809, 60.492870, 368.558575]]
### 10
fourier: [[73.563810, 74.330860, 76.564293, 83.674630, 84.607496, 85.303354, 93.087394, 105.158508, 109.898759, 634.101641], [89.336338, 89.798900, 89.975222, 107.122293, 107.153394, 109.680329, 112.792853, 123.034202, 139.084679, 681.618498], [10.012076, 10.380290, 10.780126, 10.965273, 11.133838, 11.492042, 12.848974, 14.403557, 14.783165, 100.626411], [74.406713, 76.438287, 76.468117, 89.631118, 90.037011, 91.645182, 95.652168, 105.278379, 116.992087, 678.058853], [29.803614, 29.836688, 29.913827, 35.736837, 35.748320, 36.459132, 37.753836, 41.221710, 46.226251, 248.672590], [60.632660, 61.186874, 61.420636, 72.699047, 72.847019, 74.364570, 76.958857, 84.270630, 94.468174, 510.920060], [90.088797, 91.284404, 93.846314, 102.447894, 103.775051, 104.478247, 113.946032, 128.759494, 134.922205, 784.470892]]
### 12
fourier: [[63.167829, 63.648322, 64.818377, 75.549758, 75.721382, 78.088666, 79.214820, 86.018114, 99.365047, 523.446359]]
## 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: 7
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: [[31.751408, 36.516010, 37.237563, 37.273591, 37.815605, 39.492277, 39.518368, 41.273329, 42.305670, 44.463906], [14.174730, 14.257556, 15.241261, 16.544972, 17.221385, 18.016455, 22.373234, 27.122920, 29.481270, 67.158729], [21.967926, 22.321904, 22.751787, 24.007289, 26.589500, 27.560171, 29.111786, 29.938174, 35.385152, 219.320286], [36.883794, 41.827363, 43.608774, 44.705289, 45.400298, 48.079923, 51.671579, 53.894226, 54.566365, 187.504879], [26.680200, 26.761942, 27.086990, 33.743125, 35.398027, 36.131358, 39.994819, 42.224882, 46.926161, 243.724237], [37.458815, 37.552147, 37.927218, 39.546096, 39.630513, 42.518400, 46.765508, 47.400454, 51.166768, 256.626766], [22.449412, 23.319458, 25.147650, 26.606039, 30.378476, 34.364179, 34.484797, 39.753242, 43.796668, 232.126283]]
### 2
fourier: [[25.167914, 27.252667, 29.386062, 32.369515, 38.972914, 39.714485, 43.680185, 45.783356, 51.857246, 239.879642], [23.067538, 24.008141, 25.229442, 26.441449, 29.831463, 29.949833, 31.797050, 33.805148, 39.558968, 71.753394], [21.469287, 23.180188, 24.763261, 24.898909, 25.850031, 26.923528, 28.572101, 31.699373, 34.115932, 59.734942], [24.568388, 25.139210, 26.177112, 26.693954, 26.712356, 27.271252, 30.284241, 34.420774, 34.805741, 217.398899], [86.626973, 87.634131, 87.746655, 94.696416, 95.107040, 99.158137, 109.085271, 115.733584, 119.647853, 702.498003], [26.522340, 27.372666, 28.193953, 29.998850, 32.210516, 33.305968, 34.227625, 39.498141, 42.757893, 294.986318], [32.053650, 32.117061, 32.604727, 33.503777, 34.083873, 35.316748, 38.562988, 45.457880, 45.697994, 273.677821]]
### 4
fourier: [[26.188750, 29.417486, 29.487974, 31.953534, 31.957472, 33.351135, 34.803658, 37.655211, 39.745482, 114.642093], [63.962790, 65.795945, 66.835153, 71.193232, 72.459209, 76.137581, 82.161760, 90.777748, 93.787299, 529.025628], [21.784281, 22.220915, 22.224598, 22.408385, 23.519054, 24.486075, 25.210118, 29.959324, 30.606205, 253.207722], [54.460406, 54.915551, 62.199167, 65.624696, 67.853369, 69.436516, 71.824177, 81.913921, 88.452619, 496.494134], [93.313282, 97.631258, 97.865699, 101.767194, 102.315503, 106.026787, 118.167604, 132.033337, 134.308456, 808.531907], [43.095847, 44.070951, 46.373492, 50.923537, 53.185784, 53.458625, 55.447362, 65.406247, 70.184867, 403.599741], [51.190100, 51.727080, 55.074093, 58.281483, 61.507631, 62.460203, 64.922516, 71.227492, 76.297382, 552.507613]]
### 6
fourier: [[191.599682, 193.343519, 196.804757, 220.329156, 221.849783, 222.877345, 243.632435, 273.235220, 287.722431, 1688.108948], [25.314775, 25.348003, 26.068692, 26.654233, 27.085195, 27.105868, 30.936778, 35.644697, 36.264375, 236.716909], [15.858177, 16.760341, 17.915548, 18.011285, 18.163405, 19.059359, 21.113078, 22.299566, 24.302595, 88.901095], [106.553309, 106.958552, 110.419661, 121.511865, 122.745759, 123.834260, 134.891804, 152.113349, 160.396430, 923.679251], [87.854378, 89.278269, 92.711797, 93.102075, 93.614871, 97.283995, 108.687670, 126.310102, 127.413106, 822.474237], [26.937520, 26.946946, 26.965567, 27.805759, 28.707157, 29.666183, 32.973552, 35.993570, 37.406892, 262.709300], [24.385793, 24.844087, 25.842187, 28.605270, 29.380203, 29.391068, 31.730497, 35.648389, 37.363763, 221.801320]]
### 8
fourier: [[111.112714, 111.787464, 117.614130, 134.914207, 138.468283, 140.421909, 145.796176, 160.569012, 174.000507, 896.958157], [102.947251, 105.621225, 109.775423, 126.982470, 131.028668, 133.505339, 135.956965, 148.829000, 163.039993, 750.428561], [197.577819, 200.187484, 205.342687, 230.463640, 232.615453, 233.528670, 253.672542, 283.957421, 300.401436, 1729.801602], [43.181496, 44.689336, 46.513424, 53.714433, 55.421893, 56.183127, 57.231061, 62.735429, 68.915524, 331.499151], [90.327974, 90.470096, 91.708232, 101.625717, 102.013372, 102.842723, 113.189120, 127.567829, 133.585167, 821.534973], [38.888556, 39.542066, 40.289262, 41.437156, 41.775276, 41.842282, 47.900091, 55.421568, 55.804176, 407.940989], [40.329170, 40.480510, 41.603395, 45.922403, 46.276814, 46.689478, 50.971484, 57.449809, 60.492870, 368.558575]]
### 10
fourier: [[73.563810, 74.330860, 76.564293, 83.674630, 84.607496, 85.303354, 93.087394, 105.158508, 109.898759, 634.101641], [89.336338, 89.798900, 89.975222, 107.122293, 107.153394, 109.680329, 112.792853, 123.034202, 139.084679, 681.618498], [10.012076, 10.380290, 10.780126, 10.965273, 11.133838, 11.492042, 12.848974, 14.403557, 14.783165, 100.626411], [74.406713, 76.438287, 76.468117, 89.631118, 90.037011, 91.645182, 95.652168, 105.278379, 116.992087, 678.058853], [29.803614, 29.836688, 29.913827, 35.736837, 35.748320, 36.459132, 37.753836, 41.221710, 46.226251, 248.672590], [60.632660, 61.186874, 61.420636, 72.699047, 72.847019, 74.364570, 76.958857, 84.270630, 94.468174, 510.920060], [90.088797, 91.284404, 93.846314, 102.447894, 103.775051, 104.478247, 113.946032, 128.759494, 134.922205, 784.470892]]
### 12
fourier: [[63.167829, 63.648322, 64.818377, 75.549758, 75.721382, 78.088666, 79.214820, 86.018114, 99.365047, 523.446359]]
## 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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338
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{"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.66, "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": 3384, "learning_rate": 0.0417265631851302, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[15.986809, 16.624912, 16.930408, 18.398166, 19.749460, 19.885740, 20.443392, 20.797785, 26.179123, 81.685268], [16.000773, 20.089134, 20.171960, 20.552707, 22.410663, 24.544459, 25.092594, 27.511370, 32.873230, 128.946358], [18.910205, 19.196147, 20.064229, 22.339136, 22.642969, 24.410208, 25.474954, 26.730522, 27.541205, 65.817522], [27.789312, 28.160056, 28.444984, 29.016845, 31.091221, 33.305150, 33.933080, 34.861023, 38.100916, 47.814209], [18.427452, 18.466615, 19.228355, 19.317549, 21.423027, 21.480589, 26.601485, 27.458125, 27.635303, 187.306274], [13.171636, 13.483135, 15.243177, 16.497907, 17.822393, 18.142258, 20.104149, 21.800825, 25.775766, 82.836089]]
### 2
fourier: [[19.564075, 19.676631, 21.081991, 21.782243, 21.803754, 23.728025, 24.413807, 26.096248, 28.906735, 129.139483], [11.089893, 11.295354, 11.410573, 11.662540, 13.132680, 13.344826, 13.523261, 13.808711, 16.473440, 64.135380], [22.758609, 24.045462, 24.323356, 24.635242, 25.092698, 25.134631, 32.210841, 35.563436, 38.190662, 256.878152], [11.827550, 12.281880, 14.087829, 14.799686, 15.309732, 17.265693, 18.443100, 19.709327, 19.876433, 80.412688], [24.643853, 24.669017, 27.646822, 28.158871, 29.650485, 31.345118, 32.256740, 35.987112, 38.584028, 139.290949], [13.574846, 14.208338, 14.665833, 15.837684, 16.039972, 16.886166, 18.599652, 19.810247, 19.950206, 77.845460]]
### 4
fourier: [[25.019233, 25.257353, 25.390109, 25.611983, 25.730425, 25.967576, 26.951522, 27.229089, 31.333272, 34.739782], [6.687066, 6.813195, 6.875369, 7.796522, 7.816920, 10.268655, 10.539558, 10.609003, 10.733763, 40.116604], [5.486640, 5.565888, 5.960390, 6.037333, 6.059564, 7.221986, 7.905455, 8.915856, 9.404681, 28.969511], [11.784343, 12.136020, 12.202439, 12.566491, 13.059672, 13.131573, 13.768571, 13.814798, 15.938668, 17.465401], [6.707006, 7.008256, 7.100611, 7.675802, 8.354953, 9.018233, 9.796622, 11.707733, 14.104349, 43.851356], [9.784810, 10.659094, 10.921121, 11.460908, 11.705909, 12.901543, 13.622368, 16.238066, 16.328977, 134.976567]]
### 6
fourier: [[15.534699, 15.800129, 16.022562, 16.176585, 17.740083, 18.397860, 19.012962, 20.159181, 21.585118, 22.123223], [11.655913, 11.934005, 12.088127, 13.038930, 13.616735, 14.084646, 14.962668, 16.101688, 16.147631, 32.304540], [10.342088, 11.269658, 11.459854, 11.536175, 11.845590, 15.113373, 15.183180, 16.238817, 17.365161, 45.635064], [6.755513, 6.945511, 7.216832, 7.482066, 7.783983, 8.547268, 8.625214, 9.324083, 9.519820, 20.600901], [7.872884, 7.904372, 8.081382, 8.503813, 8.812688, 9.100011, 9.234042, 9.305464, 9.968634, 42.742760], [7.314097, 7.355560, 7.461191, 7.673841, 7.909781, 8.350526, 9.531570, 10.579710, 10.743608, 11.284922]]
### 8
fourier: [[1.853021, 1.946700, 1.949359, 1.952048, 2.083497, 2.198476, 2.231875, 2.273624, 2.611448, 62.233765], [0.357277, 0.388397, 0.396698, 0.407575, 0.434117, 0.522980, 0.554616, 0.689223, 0.782442, 60.338400], [2.354678, 2.515940, 2.645830, 2.807239, 2.833252, 2.913291, 3.438125, 3.842494, 4.511058, 25.056888], [3.049399, 3.059585, 3.124219, 3.375189, 3.812310, 3.982295, 4.355464, 4.533592, 5.207438, 21.216437], [10.033673, 10.296008, 10.464308, 10.622424, 10.899791, 10.978500, 13.446089, 13.561169, 14.173808, 15.363493], [17.951854, 18.051034, 18.627638, 18.909909, 20.007729, 22.745126, 25.852472, 26.298317, 27.673013, 53.125946]]
### 10
fourier: [[8.642507, 8.735797, 8.802072, 8.810123, 9.001184, 11.956664, 12.525136, 13.228883, 13.579179, 19.850225], [0.440205, 0.440940, 0.476192, 0.494753, 0.524620, 0.543776, 0.601157, 0.658811, 0.761021, 20.956434], [4.016149, 4.755532, 4.755744, 4.870930, 5.181660, 5.844858, 5.953033, 6.977415, 7.056577, 7.789976], [3.322032, 3.408015, 3.467531, 3.523357, 3.524657, 3.874062, 4.163818, 4.180578, 4.452605, 21.740550], [9.225246, 9.299319, 9.435835, 9.683069, 9.922987, 12.964408, 14.222231, 14.626196, 14.921863, 15.701748], [8.249910, 8.413994, 8.510532, 8.837737, 9.086935, 9.830370, 11.726840, 13.112334, 13.308708, 13.550504]]
### 12
fourier: [[6.159197, 6.377878, 6.402121, 6.488609, 6.555396, 6.598972, 8.584662, 9.340953, 9.671317, 9.928063]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[15.986809, 16.624912, 16.930408, 18.398166, 19.749460, 19.885740, 20.443392, 20.797785, 26.179123, 81.685268], [16.000773, 20.089134, 20.171960, 20.552707, 22.410663, 24.544459, 25.092594, 27.511370, 32.873230, 128.946358], [18.910205, 19.196147, 20.064229, 22.339136, 22.642969, 24.410208, 25.474954, 26.730522, 27.541205, 65.817522], [27.789312, 28.160056, 28.444984, 29.016845, 31.091221, 33.305150, 33.933080, 34.861023, 38.100916, 47.814209], [18.427452, 18.466615, 19.228355, 19.317549, 21.423027, 21.480589, 26.601485, 27.458125, 27.635303, 187.306274], [13.171636, 13.483135, 15.243177, 16.497907, 17.822393, 18.142258, 20.104149, 21.800825, 25.775766, 82.836089]]
### 2
fourier: [[19.564075, 19.676631, 21.081991, 21.782243, 21.803754, 23.728025, 24.413807, 26.096248, 28.906735, 129.139483], [11.089893, 11.295354, 11.410573, 11.662540, 13.132680, 13.344826, 13.523261, 13.808711, 16.473440, 64.135380], [22.758609, 24.045462, 24.323356, 24.635242, 25.092698, 25.134631, 32.210841, 35.563436, 38.190662, 256.878152], [11.827550, 12.281880, 14.087829, 14.799686, 15.309732, 17.265693, 18.443100, 19.709327, 19.876433, 80.412688], [24.643853, 24.669017, 27.646822, 28.158871, 29.650485, 31.345118, 32.256740, 35.987112, 38.584028, 139.290949], [13.574846, 14.208338, 14.665833, 15.837684, 16.039972, 16.886166, 18.599652, 19.810247, 19.950206, 77.845460]]
### 4
fourier: [[25.019233, 25.257353, 25.390109, 25.611983, 25.730425, 25.967576, 26.951522, 27.229089, 31.333272, 34.739782], [6.687066, 6.813195, 6.875369, 7.796522, 7.816920, 10.268655, 10.539558, 10.609003, 10.733763, 40.116604], [5.486640, 5.565888, 5.960390, 6.037333, 6.059564, 7.221986, 7.905455, 8.915856, 9.404681, 28.969511], [11.784343, 12.136020, 12.202439, 12.566491, 13.059672, 13.131573, 13.768571, 13.814798, 15.938668, 17.465401], [6.707006, 7.008256, 7.100611, 7.675802, 8.354953, 9.018233, 9.796622, 11.707733, 14.104349, 43.851356], [9.784810, 10.659094, 10.921121, 11.460908, 11.705909, 12.901543, 13.622368, 16.238066, 16.328977, 134.976567]]
### 6
fourier: [[15.534699, 15.800129, 16.022562, 16.176585, 17.740083, 18.397860, 19.012962, 20.159181, 21.585118, 22.123223], [11.655913, 11.934005, 12.088127, 13.038930, 13.616735, 14.084646, 14.962668, 16.101688, 16.147631, 32.304540], [10.342088, 11.269658, 11.459854, 11.536175, 11.845590, 15.113373, 15.183180, 16.238817, 17.365161, 45.635064], [6.755513, 6.945511, 7.216832, 7.482066, 7.783983, 8.547268, 8.625214, 9.324083, 9.519820, 20.600901], [7.872884, 7.904372, 8.081382, 8.503813, 8.812688, 9.100011, 9.234042, 9.305464, 9.968634, 42.742760], [7.314097, 7.355560, 7.461191, 7.673841, 7.909781, 8.350526, 9.531570, 10.579710, 10.743608, 11.284922]]
### 8
fourier: [[1.853021, 1.946700, 1.949359, 1.952048, 2.083497, 2.198476, 2.231875, 2.273624, 2.611448, 62.233765], [0.357277, 0.388397, 0.396698, 0.407575, 0.434117, 0.522980, 0.554616, 0.689223, 0.782442, 60.338400], [2.354678, 2.515940, 2.645830, 2.807239, 2.833252, 2.913291, 3.438125, 3.842494, 4.511058, 25.056888], [3.049399, 3.059585, 3.124219, 3.375189, 3.812310, 3.982295, 4.355464, 4.533592, 5.207438, 21.216437], [10.033673, 10.296008, 10.464308, 10.622424, 10.899791, 10.978500, 13.446089, 13.561169, 14.173808, 15.363493], [17.951854, 18.051034, 18.627638, 18.909909, 20.007729, 22.745126, 25.852472, 26.298317, 27.673013, 53.125946]]
### 10
fourier: [[8.642507, 8.735797, 8.802072, 8.810123, 9.001184, 11.956664, 12.525136, 13.228883, 13.579179, 19.850225], [0.440205, 0.440940, 0.476192, 0.494753, 0.524620, 0.543776, 0.601157, 0.658811, 0.761021, 20.956434], [4.016149, 4.755532, 4.755744, 4.870930, 5.181660, 5.844858, 5.953033, 6.977415, 7.056577, 7.789976], [3.322032, 3.408015, 3.467531, 3.523357, 3.524657, 3.874062, 4.163818, 4.180578, 4.452605, 21.740550], [9.225246, 9.299319, 9.435835, 9.683069, 9.922987, 12.964408, 14.222231, 14.626196, 14.921863, 15.701748], [8.249910, 8.413994, 8.510532, 8.837737, 9.086935, 9.830370, 11.726840, 13.112334, 13.308708, 13.550504]]
### 12
fourier: [[6.159197, 6.377878, 6.402121, 6.488609, 6.555396, 6.598972, 8.584662, 9.340953, 9.671317, 9.928063]]
## 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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19.317548935728965, 21.423026990341928, 21.480589146617096, 26.601485344588983, 27.45812545244189, 27.63530281394303, 187.30627350509167]}, "5": {"fourier": [13.171636433638103, 13.483135398998456, 15.243177457225446, 16.497906933223945, 17.822393309481743, 18.142257831848767, 20.104148853924187, 21.80082492656515, 25.775765825556533, 82.83608931303024]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [19.564074626040153, 19.67663085755672, 21.081990799499735, 21.782242969681665, 21.80375444536116, 23.72802457844377, 24.41380703872278, 26.09624806497879, 28.90673497106749, 129.13948284089565]}, "1": {"fourier": [11.08989255162986, 11.295353585124598, 11.410573032027052, 11.662540028780981, 13.132679812732782, 13.344826499919, 13.523260968454077, 13.808711216983818, 16.47343978842539, 64.13538046181202]}, "2": {"fourier": [22.758609334333375, 24.045462409143173, 24.323355569266585, 24.63524244675345, 25.09269811799993, 25.13463137099653, 32.21084074272448, 35.56343557401094, 38.19066190024623, 256.87815219163895]}, "3": {"fourier": [11.827550464983043, 12.281880487062455, 14.087829491234297, 14.799686358856073, 15.30973156329609, 17.265693288293388, 18.443100432810702, 19.709326642473812, 19.876432838967357, 80.41268837451935]}, "4": {"fourier": [24.643853237182196, 24.669016615527546, 27.64682193435472, 28.158871197599428, 29.650485095790962, 31.345117658975166, 32.256739847979475, 35.987111877863825, 38.584028419790954, 139.2909491956234]}, "5": {"fourier": [13.574845881918234, 14.208337713479189, 14.665833338811458, 15.837683878971182, 16.03997174212664, 16.886166351866553, 18.59965230751386, 19.81024666349714, 19.950205695091146, 77.8454604446888]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [25.01923262100635, 25.257353454828262, 25.39010868736685, 25.611983056642423, 25.73042457039753, 25.96757558641412, 26.951521847807946, 27.229089125766247, 31.333271574206766, 34.73978239696547]}, "1": {"fourier": [6.687066191472284, 6.813194558796596, 6.875369435008226, 7.796522422739258, 7.816920334206202, 10.268655439152583, 10.539557538175643, 10.609002630790828, 10.733762726980174, 40.11660447716713]}, "2": {"fourier": [5.486639761948556, 5.565887784906896, 5.960390215742321, 6.037332992966675, 6.059563515523561, 7.221985957472766, 7.905454773043395, 8.915856460086307, 9.404680594538954, 28.969511184841394]}, "3": {"fourier": [11.78434273580506, 12.136020153150927, 12.202438915330744, 12.566490918326847, 13.05967222616986, 13.131572684268514, 13.768570864060802, 13.814798445129865, 15.9386677712156, 17.46540122503856]}, "4": {"fourier": [6.707006298810384, 7.008255959042502, 7.100611282262848, 7.675801843765944, 8.354952699189413, 9.018232629310605, 9.796621775594645, 11.707733491838498, 14.10434888308025, 43.85135602205992]}, "5": {"fourier": [9.784809974100149, 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9.29931902984089, 9.435835152287382, 9.683069052801663, 9.922986528998962, 12.964407910459997, 14.22223104028363, 14.626196008479996, 14.92186276991692, 15.701748475432396]}, "5": {"fourier": [8.249909611205192, 8.413993571953478, 8.510532197839325, 8.837736949552754, 9.086935307205477, 9.83036994934082, 11.726840474089455, 13.112333952840952, 13.308708292904692, 13.550504374821488]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [6.159197451776593, 6.377877953326965, 6.402121025144868, 6.488608605202977, 6.555395674044816, 6.598972131504927, 8.584662216116106, 9.340952845499036, 9.671317185691302, 9.928063209340435]}}, "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": [[0.499807, -0.200523, 0.226506, 0.323689, -0.390564], [0.011149, 0.291539, 0.155442, -0.019253, 0.674538], [-0.050872, -0.490744, -0.204308, 0.552288, 0.363694], [0.76872, 0.571452, -0.413583, -0.390944, 0.008868], [0.170543, -0.152452, 0.13921, 0.414083, 0.504202], [0.235583, 0.380362, -0.31386, 0.203347, -0.05545]], "network.0.bias": [-0.034552, -0.227729, 0.482728, 0.224676, 0.346131, 0.222065], "network.2.weight": [[0.228659, -0.422576, -0.133718, 0.614891, 0.310827, 0.412358], [0.02143, 0.346534, -0.729254, -0.357835, 0.081358, -0.282357], [-0.007973, -0.772833, -0.195792, -0.032187, -0.350573, -0.284479], [0.481051, 0.286003, -0.3163, 0.020096, -0.228928, 0.494765], [-0.425771, 0.46636, 0.427423, -0.469491, 0.614509, 0.390256], [-0.035264, 0.103283, -0.560772, 0.230756, 0.290542, 0.424867]], "network.2.bias": [0.311226, -0.08213, -0.59151, 0.30934, -0.231327, 0.069661], "network.4.weight": [[0.354387, -0.444777, -0.114371, 0.246865, -0.675811, 0.398632], [-0.048419, 0.007899, 0.077643, 0.321752, 0.224807, 0.194062], [-0.134904, 0.40429, 0.397491, 0.184207, 0.211586, -0.006681], [0.040174, -0.139731, -0.203702, 0.343379, -0.335987, 0.179124], [-0.139372, 0.431356, 0.039635, -0.087919, 0.257561, 0.381054], [-0.248779, -0.316608, 0.239726, 0.190834, -0.433049, -0.075643]], "network.4.bias": [0.343596, -0.280999, 0.033615, 0.034974, 0.021751, -0.548198], "network.6.weight": [[0.575568, -0.361998, -0.432425, 0.483241, -0.496742, 0.224994], [0.516733, -0.291952, -0.292521, 0.174313, -0.301831, -0.411553], [0.527856, 0.085896, 0.002958, 0.250697, -0.206967, -0.06964], [-0.31428, 0.198081, -0.215526, -0.095001, 0.425189, 0.205331], [-0.495673, 0.362704, 0.479326, 0.313052, -0.030588, 0.071392], [-0.236468, -0.141145, 0.262181, -0.221929, 0.296474, 0.061353]], "network.6.bias": [0.129171, 0.216791, 0.111695, 0.304522, 0.511538, -0.034954], "network.8.weight": [[-0.137396, 0.045237, 0.130687, 0.206994, -0.531376, 0.236322], [0.173636, -0.194637, -0.005715, 0.061744, -0.159603, 0.220257], [-0.20881, 0.145124, -0.142421, -0.146888, 0.150712, -0.483329], [0.009331, -0.06629, 0.375482, 0.066303, 0.062734, 0.280134], [-0.134072, -0.44834, -0.116799, 0.178335, 0.369793, 0.314727], [0.314297, 0.563186, 0.540066, -0.398613, -0.47614, -0.267427]], "network.8.bias": [-0.544176, -0.619213, -0.183085, -0.446733, -0.074254, 0.255621], "network.10.weight": [[0.333506, 0.200285, 0.03747, 0.027894, -0.24578, 0.495946], [-0.175204, 0.143329, 0.158441, 0.521886, 0.058982, -0.034457], [0.21977, 0.612777, 0.561473, 0.50278, 0.383015, 0.257079], [0.296034, -0.02195, -0.20012, 0.606571, 0.296903, -0.204743], [0.007641, -0.532963, 0.091791, -0.04501, 0.119099, -0.552229], [-0.435226, -0.007123, -0.305176, -0.106073, -0.0013, -0.509615]], "network.10.bias": [-0.013851, -0.165583, -0.059009, 0.427286, 0.124211, 0.363143], "network.12.weight": [[-0.588469, -0.100962, -0.134671, 0.116631, 0.32604, 0.402576]], "network.12.bias": [0.07565]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853157877922058, "train_acc": 0.57, "val_loss": 0.718142569065094, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6723105907440186, "train_acc": 0.57, "val_loss": 0.721224844455719, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6428630352020264, "train_acc": 0.57, "val_loss": 0.6174735426902771, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.7339009046554565, "train_acc": 0.505, "val_loss": 0.5826542973518372, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5784824788570404, "train_acc": 0.705, "val_loss": 0.6147618293762207, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.6400071978569031, "train_acc": 0.635, "val_loss": 0.6256803870201111, "val_acc": 0.66}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.6424183547496796, "train_acc": 0.605, "val_loss": 0.6132361888885498, "val_acc": 0.66}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.718142569065094, "final_val_loss": 0.6174735426902771, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5826542973518372, "final_val_loss": 0.6132361888885498, "initial_val_acc": 0.64, "final_val_acc": 0.66, "best_val_acc": 0.66, "best_epoch": 5}, "improvement": 0.18000000000000005, "first_improvement_epoch": 2}}
|
339
|
{"target_pattern": "mountain_pattern", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4786, "learning_rate": 0.04412605069259858, "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: 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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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[28.357032, 29.868887, 30.110120, 31.091114, 31.640870, 32.697932, 33.954091, 35.114194, 36.649305, 179.114868], [15.926714, 16.299810, 16.691473, 16.769324, 18.453054, 18.594309, 19.714728, 22.370726, 23.900954, 25.627446], [24.835080, 25.020882, 25.208149, 25.450340, 27.245698, 28.823055, 29.699904, 33.683804, 38.481667, 44.366276], [16.902021, 17.177588, 18.056519, 18.468862, 18.679282, 19.810271, 20.507550, 21.120046, 25.903825, 167.502285], [15.498021, 15.646641, 16.025664, 16.225443, 16.746294, 18.306787, 19.799662, 19.998633, 21.229314, 122.412833]]
### 2
fourier: [[16.339570, 16.450010, 17.062189, 17.708724, 20.139509, 20.149136, 20.160032, 20.470374, 20.808065, 124.334870], [13.288708, 13.960255, 14.484250, 15.071621, 16.016138, 16.245805, 16.371614, 16.430008, 17.410832, 126.302810], [17.448579, 17.818535, 17.881729, 18.159408, 19.674975, 20.033944, 20.413350, 22.582749, 24.551589, 55.350199], [13.434776, 13.489060, 13.737751, 13.747735, 15.479938, 15.533410, 15.754074, 16.862741, 17.911405, 56.817837], [8.818856, 9.110690, 9.794130, 10.675992, 10.796934, 11.055373, 11.097119, 11.498276, 12.010810, 72.164905]]
### 4
fourier: [[20.442531, 20.793128, 21.663310, 23.264596, 24.009846, 24.398264, 24.485447, 24.629629, 25.049374, 182.461803], [20.659277, 21.170678, 22.350939, 23.201578, 24.581684, 24.781438, 25.268149, 25.507860, 25.773026, 146.713318], [20.608540, 20.711398, 20.830622, 21.308812, 22.501676, 24.370625, 24.518833, 24.762097, 26.541850, 198.306796], [12.439559, 12.475621, 12.811500, 12.836322, 13.451047, 14.301298, 14.373111, 14.399749, 17.111829, 123.213937], [14.893752, 15.111341, 15.921969, 17.052192, 17.287265, 17.860008, 18.019017, 18.071390, 18.446867, 107.094473]]
### 6
fourier: [[31.494732, 32.339848, 35.210361, 35.366333, 35.763747, 37.188833, 38.441543, 39.252028, 39.909883, 296.791596], [3.080218, 3.111995, 3.174467, 3.386550, 3.452683, 3.708245, 3.768833, 3.921512, 4.092654, 53.622119], [62.857158, 64.809836, 70.698671, 71.498515, 73.873394, 75.785995, 75.798400, 77.180323, 80.020036, 549.445889], [34.896027, 36.206828, 39.228811, 40.251470, 40.618952, 42.307857, 42.797607, 43.069341, 44.506840, 232.239297], [39.194744, 40.561793, 44.050466, 45.083926, 46.209302, 46.995907, 47.718072, 48.297535, 49.950448, 315.280558]]
### 8
fourier: [[89.520119, 92.265250, 100.636533, 101.198477, 105.594775, 107.326503, 109.523933, 110.143404, 114.948190, 723.342184]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.762571,
0.569529,
-0.190241,
-0.051494,
0.246666
],
[
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-0.279497,
-0.106606,
0.526512
],
[
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0.551105,
0.26779
],
[
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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.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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],
"network.6.weight": [
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],
[
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0.00316,
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],
[
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0.579173,
0.044973,
0.568688
]
],
"network.6.bias": [
0.006069,
-0.211,
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0.68344,
-0.283321
],
"network.8.weight": [
[
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-0.080882,
-0.808396,
0.526372,
-0.602373
]
],
"network.8.bias": [
0.544223
]
}
## Activation Signature
### 0
fourier: [[28.357032, 29.868887, 30.110120, 31.091114, 31.640870, 32.697932, 33.954091, 35.114194, 36.649305, 179.114868], [15.926714, 16.299810, 16.691473, 16.769324, 18.453054, 18.594309, 19.714728, 22.370726, 23.900954, 25.627446], [24.835080, 25.020882, 25.208149, 25.450340, 27.245698, 28.823055, 29.699904, 33.683804, 38.481667, 44.366276], [16.902021, 17.177588, 18.056519, 18.468862, 18.679282, 19.810271, 20.507550, 21.120046, 25.903825, 167.502285], [15.498021, 15.646641, 16.025664, 16.225443, 16.746294, 18.306787, 19.799662, 19.998633, 21.229314, 122.412833]]
### 2
fourier: [[16.339570, 16.450010, 17.062189, 17.708724, 20.139509, 20.149136, 20.160032, 20.470374, 20.808065, 124.334870], [13.288708, 13.960255, 14.484250, 15.071621, 16.016138, 16.245805, 16.371614, 16.430008, 17.410832, 126.302810], [17.448579, 17.818535, 17.881729, 18.159408, 19.674975, 20.033944, 20.413350, 22.582749, 24.551589, 55.350199], [13.434776, 13.489060, 13.737751, 13.747735, 15.479938, 15.533410, 15.754074, 16.862741, 17.911405, 56.817837], [8.818856, 9.110690, 9.794130, 10.675992, 10.796934, 11.055373, 11.097119, 11.498276, 12.010810, 72.164905]]
### 4
fourier: [[20.442531, 20.793128, 21.663310, 23.264596, 24.009846, 24.398264, 24.485447, 24.629629, 25.049374, 182.461803], [20.659277, 21.170678, 22.350939, 23.201578, 24.581684, 24.781438, 25.268149, 25.507860, 25.773026, 146.713318], [20.608540, 20.711398, 20.830622, 21.308812, 22.501676, 24.370625, 24.518833, 24.762097, 26.541850, 198.306796], [12.439559, 12.475621, 12.811500, 12.836322, 13.451047, 14.301298, 14.373111, 14.399749, 17.111829, 123.213937], [14.893752, 15.111341, 15.921969, 17.052192, 17.287265, 17.860008, 18.019017, 18.071390, 18.446867, 107.094473]]
### 6
fourier: [[31.494732, 32.339848, 35.210361, 35.366333, 35.763747, 37.188833, 38.441543, 39.252028, 39.909883, 296.791596], [3.080218, 3.111995, 3.174467, 3.386550, 3.452683, 3.708245, 3.768833, 3.921512, 4.092654, 53.622119], [62.857158, 64.809836, 70.698671, 71.498515, 73.873394, 75.785995, 75.798400, 77.180323, 80.020036, 549.445889], [34.896027, 36.206828, 39.228811, 40.251470, 40.618952, 42.307857, 42.797607, 43.069341, 44.506840, 232.239297], [39.194744, 40.561793, 44.050466, 45.083926, 46.209302, 46.995907, 47.718072, 48.297535, 49.950448, 315.280558]]
### 8
fourier: [[89.520119, 92.265250, 100.636533, 101.198477, 105.594775, 107.326503, 109.523933, 110.143404, 114.948190, 723.342184]]
## 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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110.1434042703686, 114.94818980408259, 723.3421841263771]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.762571, 0.569529, -0.190241, -0.051494, 0.246666], [0.323294, -0.272722, -0.279497, -0.106606, 0.526512], [-0.688598, -0.154417, -0.073319, 0.551105, 0.26779], [-0.07145, -0.191111, -0.055518, -0.536291, 0.234678], [0.282735, -0.176728, -0.118646, -0.468404, 0.245179]], "network.0.bias": [0.206977, 0.052687, 0.272329, -0.447392, -0.440035], "network.2.weight": [[0.500074, 0.321311, -0.198053, -0.098514, -0.273468], [0.421606, 0.340862, -0.169969, -0.680824, -0.611327], [-0.427551, -0.511305, 0.539427, 0.230296, 0.773981], [-0.349614, -0.407003, 0.373801, 0.837068, 0.76087], [-0.27218, -0.331077, 0.13942, 0.732595, 0.507737]], "network.2.bias": [0.489776, 0.587658, -0.119395, -0.119081, -0.248251], "network.4.weight": [[0.572976, 0.662619, -0.386178, -0.355598, -0.35625], [0.761821, 0.486492, -0.2114, -0.355881, 0.033598], [0.674699, 0.407258, -0.920871, -0.664165, -0.903734], [0.016782, 0.650861, -0.418117, -0.942996, -1.052182], [0.544712, 0.341668, -0.20806, -0.281808, -0.146045]], "network.4.bias": [0.448551, 0.055919, 0.841197, 0.462122, 0.062274], "network.6.weight": [[-0.053662, 0.107462, 0.632291, 0.977181, 0.480036], [0.365687, -0.034466, -0.452998, 0.023282, -0.076298], [0.742439, 0.470011, 1.081738, 0.821963, 0.527687], [-0.741602, -0.178222, -0.427379, 0.00316, -0.526153], [0.891358, 0.039253, 0.579173, 0.044973, 0.568688]], "network.6.bias": [0.006069, -0.211, -0.158907, 0.68344, -0.283321], "network.8.weight": [[-0.474739, -0.080882, -0.808396, 0.526372, -0.602373]], "network.8.bias": [0.544223]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7488254904747009, "train_acc": 0.425, "val_loss": 0.7036418914794922, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7202036082744598, "train_acc": 0.425, "val_loss": 0.6938801407814026, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6974153816699982, "train_acc": 0.51, "val_loss": 0.6850155591964722, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.66854327917099, "train_acc": 0.575, "val_loss": 0.6525780558586121, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6312059462070465, "train_acc": 0.575, "val_loss": 0.561612606048584, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5022655725479126, "train_acc": 0.835, "val_loss": 0.4494464099407196, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4269837737083435, "train_acc": 0.835, "val_loss": 0.3958064615726471, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.39528411626815796, "train_acc": 0.865, "val_loss": 0.4459592401981354, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4016105532646179, "train_acc": 0.84, "val_loss": 0.3874421715736389, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3506600558757782, "train_acc": 0.855, "val_loss": 0.2870343327522278, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.33291277289390564, "train_acc": 0.87, "val_loss": 0.2679893374443054, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.27957606315612793, "train_acc": 0.9, "val_loss": 0.30129900574684143, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2896111458539963, "train_acc": 0.88, "val_loss": 0.3194291591644287, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2822892665863037, "train_acc": 0.89, "val_loss": 0.43289878964424133, "val_acc": 0.82}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7036418914794922, "final_val_loss": 0.6525780558586121, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.561612606048584, "final_val_loss": 0.43289878964424133, "initial_val_acc": 0.8, "final_val_acc": 0.82, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.4, "first_improvement_epoch": 3}}
|
340
|
{"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9890, "learning_rate": 0.0936142497509307, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
-0.286281,
0.094733,
-0.358095,
-0.059882,
-0.241023
],
[
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-0.091013,
-0.57279,
-0.686683
],
[
-0.77016,
0.374816,
-1.823012,
0.770679,
-1.558997
],
[
-0.32768,
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],
[
0.772159,
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],
[
-0.311096,
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]
],
"network.0.bias": [
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"network.2.weight": [
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[
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0.450387
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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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"network.6.weight": [
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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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"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: [[16.283963, 16.538304, 16.676062, 17.243013, 17.937768, 19.086028, 22.029872, 23.834395, 25.233239, 179.776055], [30.627911, 31.181988, 35.798326, 38.390410, 40.590251, 45.279376, 48.358776, 50.135101, 56.913687, 404.338856], [72.183029, 78.136969, 84.783212, 85.743342, 95.982215, 102.363420, 104.592947, 107.212800, 123.926090, 386.745805], [20.470559, 20.519208, 21.804909, 22.092970, 23.436190, 24.429131, 25.216773, 27.967574, 31.835338, 202.846566], [58.448589, 59.936141, 65.655210, 71.383648, 72.632047, 75.980018, 78.013645, 86.156231, 87.895179, 448.086490], [35.098372, 35.619234, 37.623412, 37.785550, 38.749029, 40.100384, 41.726179, 43.241255, 60.445139, 335.447058]]
### 2
fourier: [[17.643861, 17.817277, 18.427166, 18.872099, 19.194585, 19.698264, 20.140359, 24.384962, 25.314736, 175.597082], [13.351503, 13.374583, 13.987145, 14.077529, 14.382955, 15.238623, 17.371400, 17.546641, 20.580622, 102.979703], [23.251061, 23.935116, 26.753503, 27.877734, 28.075561, 30.798367, 30.891929, 31.729830, 36.801679, 86.794228], [12.294746, 12.829160, 12.979968, 12.992141, 13.488078, 15.336623, 16.571477, 16.876108, 19.457449, 146.346892], [14.110493, 15.521086, 15.575574, 16.883791, 17.664849, 18.106688, 18.140346, 18.378014, 25.998047, 165.470820], [18.864825, 19.232642, 19.502336, 19.817583, 21.471338, 22.833510, 23.063911, 23.641274, 26.891207, 81.451010]]
### 4
fourier: [[14.125698, 15.541784, 16.126251, 17.087542, 17.117467, 18.522424, 21.154627, 21.342965, 21.999534, 164.837408], [20.804245, 22.396138, 23.213309, 24.173782, 25.132884, 26.948396, 31.047096, 31.128700, 31.145831, 211.109922], [5.286843, 5.829757, 5.969123, 6.317523, 6.401278, 6.963501, 7.884587, 7.929757, 8.095338, 69.082137], [9.126530, 9.284069, 10.123272, 10.531094, 11.204063, 12.133127, 12.748211, 13.491742, 13.655043, 126.673302], [25.034612, 28.042110, 28.083512, 29.954125, 30.621349, 33.111528, 37.779870, 37.963168, 38.463723, 193.065505], [1.712613, 1.718827, 1.725707, 1.738342, 1.939036, 2.080134, 2.215765, 2.340017, 2.781656, 41.552908]]
### 6
fourier: [[22.789083, 23.576010, 24.400269, 25.318005, 25.488661, 29.206757, 31.704371, 31.786557, 32.090263, 152.449123], [8.325315, 8.612794, 8.913914, 9.249181, 9.311525, 10.669821, 11.582250, 11.612274, 11.723224, 90.658725], [16.210851, 16.770624, 17.356956, 18.009780, 18.131175, 20.776017, 22.552677, 22.611139, 22.827178, 103.162404], [7.931560, 8.205443, 8.492320, 8.811731, 8.871126, 10.165180, 11.034455, 11.063059, 11.168761, 86.266873], [19.768319, 20.450936, 21.165937, 21.962025, 22.110058, 25.335310, 27.501859, 27.573150, 27.836598, 132.476251], [8.774032, 9.077006, 9.394355, 9.747692, 9.813397, 11.244902, 12.206509, 12.238152, 12.355082, 144.922044]]
### 8
fourier: [[30.590002, 31.701142, 32.893071, 33.151479, 34.152505, 39.425899, 41.717924, 41.856628, 41.927305, 252.307434], [16.620108, 16.812926, 17.052954, 17.755459, 18.010928, 18.399044, 21.283328, 22.640267, 22.663583, 22.667554], [39.147915, 40.453064, 42.015982, 42.425453, 43.599968, 50.361760, 53.371302, 53.513243, 53.580042, 270.607763], [14.216198, 14.591653, 14.665631, 15.190871, 15.405881, 15.742612, 18.209133, 19.366395, 19.387928, 19.392371], [29.834906, 30.820481, 32.014511, 32.332698, 33.219515, 38.373744, 40.673277, 40.778682, 40.827754, 193.854541], [8.239810, 8.605246, 8.905079, 8.930032, 9.260029, 10.673059, 11.247301, 11.304775, 11.337289, 76.876077]]
### 10
fourier: [[51.848888, 54.456038, 56.866994, 58.552506, 59.158348, 62.292687, 73.042509, 73.396097, 75.983307, 78.674229]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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-0.059882,
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],
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-0.57279,
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[
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0.374816,
-1.823012,
0.770679,
-1.558997
],
[
-0.32768,
-0.376845,
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-0.211462
],
[
0.772159,
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0.145387
],
[
-0.311096,
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1.194277,
0.068208,
0.54397
]
],
"network.0.bias": [
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0.056404,
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-0.723008,
0.007542
],
"network.2.weight": [
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[
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0.291483,
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0.313041
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[
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0.450387
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[
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[
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0.006254,
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],
[
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0.269905
]
],
"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.8.weight": [
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"network.8.bias": [
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],
"network.10.weight": [
[
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1.424481,
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]
],
"network.10.bias": [
0.667066
]
}
## Activation Signature
### 0
fourier: [[16.283963, 16.538304, 16.676062, 17.243013, 17.937768, 19.086028, 22.029872, 23.834395, 25.233239, 179.776055], [30.627911, 31.181988, 35.798326, 38.390410, 40.590251, 45.279376, 48.358776, 50.135101, 56.913687, 404.338856], [72.183029, 78.136969, 84.783212, 85.743342, 95.982215, 102.363420, 104.592947, 107.212800, 123.926090, 386.745805], [20.470559, 20.519208, 21.804909, 22.092970, 23.436190, 24.429131, 25.216773, 27.967574, 31.835338, 202.846566], [58.448589, 59.936141, 65.655210, 71.383648, 72.632047, 75.980018, 78.013645, 86.156231, 87.895179, 448.086490], [35.098372, 35.619234, 37.623412, 37.785550, 38.749029, 40.100384, 41.726179, 43.241255, 60.445139, 335.447058]]
### 2
fourier: [[17.643861, 17.817277, 18.427166, 18.872099, 19.194585, 19.698264, 20.140359, 24.384962, 25.314736, 175.597082], [13.351503, 13.374583, 13.987145, 14.077529, 14.382955, 15.238623, 17.371400, 17.546641, 20.580622, 102.979703], [23.251061, 23.935116, 26.753503, 27.877734, 28.075561, 30.798367, 30.891929, 31.729830, 36.801679, 86.794228], [12.294746, 12.829160, 12.979968, 12.992141, 13.488078, 15.336623, 16.571477, 16.876108, 19.457449, 146.346892], [14.110493, 15.521086, 15.575574, 16.883791, 17.664849, 18.106688, 18.140346, 18.378014, 25.998047, 165.470820], [18.864825, 19.232642, 19.502336, 19.817583, 21.471338, 22.833510, 23.063911, 23.641274, 26.891207, 81.451010]]
### 4
fourier: [[14.125698, 15.541784, 16.126251, 17.087542, 17.117467, 18.522424, 21.154627, 21.342965, 21.999534, 164.837408], [20.804245, 22.396138, 23.213309, 24.173782, 25.132884, 26.948396, 31.047096, 31.128700, 31.145831, 211.109922], [5.286843, 5.829757, 5.969123, 6.317523, 6.401278, 6.963501, 7.884587, 7.929757, 8.095338, 69.082137], [9.126530, 9.284069, 10.123272, 10.531094, 11.204063, 12.133127, 12.748211, 13.491742, 13.655043, 126.673302], [25.034612, 28.042110, 28.083512, 29.954125, 30.621349, 33.111528, 37.779870, 37.963168, 38.463723, 193.065505], [1.712613, 1.718827, 1.725707, 1.738342, 1.939036, 2.080134, 2.215765, 2.340017, 2.781656, 41.552908]]
### 6
fourier: [[22.789083, 23.576010, 24.400269, 25.318005, 25.488661, 29.206757, 31.704371, 31.786557, 32.090263, 152.449123], [8.325315, 8.612794, 8.913914, 9.249181, 9.311525, 10.669821, 11.582250, 11.612274, 11.723224, 90.658725], [16.210851, 16.770624, 17.356956, 18.009780, 18.131175, 20.776017, 22.552677, 22.611139, 22.827178, 103.162404], [7.931560, 8.205443, 8.492320, 8.811731, 8.871126, 10.165180, 11.034455, 11.063059, 11.168761, 86.266873], [19.768319, 20.450936, 21.165937, 21.962025, 22.110058, 25.335310, 27.501859, 27.573150, 27.836598, 132.476251], [8.774032, 9.077006, 9.394355, 9.747692, 9.813397, 11.244902, 12.206509, 12.238152, 12.355082, 144.922044]]
### 8
fourier: [[30.590002, 31.701142, 32.893071, 33.151479, 34.152505, 39.425899, 41.717924, 41.856628, 41.927305, 252.307434], [16.620108, 16.812926, 17.052954, 17.755459, 18.010928, 18.399044, 21.283328, 22.640267, 22.663583, 22.667554], [39.147915, 40.453064, 42.015982, 42.425453, 43.599968, 50.361760, 53.371302, 53.513243, 53.580042, 270.607763], [14.216198, 14.591653, 14.665631, 15.190871, 15.405881, 15.742612, 18.209133, 19.366395, 19.387928, 19.392371], [29.834906, 30.820481, 32.014511, 32.332698, 33.219515, 38.373744, 40.673277, 40.778682, 40.827754, 193.854541], [8.239810, 8.605246, 8.905079, 8.930032, 9.260029, 10.673059, 11.247301, 11.304775, 11.337289, 76.876077]]
### 10
fourier: [[51.848888, 54.456038, 56.866994, 58.552506, 59.158348, 62.292687, 73.042509, 73.396097, 75.983307, 78.674229]]
## 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": [16.283962641169204, 16.53830432632561, 16.676062138963246, 17.243013408373724, 17.937767515291252, 19.086027640565344, 22.029872008162684, 23.834395422734055, 25.23323873357247, 179.77605509757996]}, "1": {"fourier": [30.627910502247964, 31.18198791432382, 35.79832606112031, 38.39041001367624, 40.59025057535279, 45.27937609916899, 48.358776465445594, 50.13510070174771, 56.91368721487103, 404.33885645866394]}, "2": {"fourier": [72.183029050693, 78.13696883405233, 84.78321152118721, 85.74334196294546, 95.98221545221593, 102.36342003919498, 104.59294700789488, 107.21279987337189, 123.92608953798141, 386.74580504000187]}, "3": {"fourier": [20.47055941799802, 20.519207887180865, 21.804909168891243, 22.09297011712599, 23.436190295559953, 24.429131195927667, 25.2167729875297, 27.967574190340592, 31.83533819719574, 202.84656649827957]}, "4": {"fourier": [58.448588860812166, 59.93614073868558, 65.65520970552566, 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28.07556089147095, 30.798366615492153, 30.891928503349877, 31.72982982170607, 36.801678760577076, 86.79422827810049]}, "3": {"fourier": [12.294745991016446, 12.829159659086988, 12.979967783703463, 12.99214121613923, 13.488077517151206, 15.336623080251508, 16.571477226256995, 16.87610767091013, 19.457448979420978, 146.3468917682767]}, "4": {"fourier": [14.110493199130989, 15.52108623851427, 15.575573718200838, 16.883791476254377, 17.664848538885725, 18.106687565162655, 18.1403460687381, 18.37801422924299, 25.9980469309609, 165.47081971168518]}, "5": {"fourier": [18.864825279443803, 19.232642000433643, 19.502336127099657, 19.8175829798547, 21.471338183624123, 22.833510139259896, 23.06391059524047, 23.64127437451587, 26.89120654168664, 81.45100963115692]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [14.125698030274835, 15.541783654198708, 16.126251274768595, 17.08754218604042, 17.11746711506715, 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"layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [51.84888756974914, 54.4560384305869, 56.86699419137698, 58.55250622796924, 59.15834775020473, 62.29268747725697, 73.04250937860486, 73.39609697541034, 75.98330688901864, 78.67422866821289]}}, "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": "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.286281, 0.094733, -0.358095, -0.059882, -0.241023], [-0.614026, -0.428005, -0.091013, -0.57279, -0.686683], [-0.77016, 0.374816, -1.823012, 0.770679, -1.558997], [-0.32768, -0.376845, -0.306709, -0.090065, -0.211462], [0.772159, -1.806416, 0.305137, -1.278493, 0.145387], [-0.311096, 0.436232, 1.194277, 0.068208, 0.54397]], "network.0.bias": [-0.64018, -0.683273, 0.056404, -0.064754, -0.723008, 0.007542], "network.2.weight": [[0.149101, -0.213776, -0.23433, -0.148015, -0.7235, -0.351016], [0.001505, -0.149693, -0.345908, 0.291483, -0.290717, 0.313041], [0.036816, 0.144214, -1.001226, 0.257603, -0.639344, 0.450387], [-0.366884, -0.260182, -0.36655, 0.065648, 0.214473, -0.370142], [0.13083, -0.26965, 0.149288, -0.386525, 0.006254, -0.404436], [0.645643, -0.543596, -0.864389, 0.379989, -0.783923, 0.269905]], "network.2.bias": [-0.340288, 0.212324, -0.083365, -0.128348, -0.398761, 0.505705], "network.4.weight": [[0.247388, -0.406628, -0.57176, 0.354916, 0.492183, -0.145442], [-0.166845, -0.501072, -0.550628, -0.252324, -0.498367, -0.689912], [-0.214132, -0.107192, -0.240986, 0.054964, 0.217141, -0.059429], [0.578145, 0.061227, -0.323103, 0.384162, 0.74851, -0.464387], [-0.085468, 0.57138, 0.949981, 0.398007, -0.043942, 0.502716], [0.254322, -0.209586, 0.021997, -0.392545, -0.185011, 0.035521]], "network.4.bias": [-0.382508, -0.148119, -0.23668, -0.474622, -0.454479, -0.281795], "network.6.weight": [[0.375367, -0.064282, -0.292191, 0.090482, 0.88706, 0.269907], [-0.285571, -0.167718, -0.324373, -0.133326, -0.324061, -0.39884], [-0.2983, 0.347571, 0.239025, -0.812728, 0.631004, 0.166283], [-0.080108, 0.25724, -0.1845, -0.152243, -0.308734, 0.212563], [0.185376, -0.176299, 0.072791, -0.4855, 0.769478, -0.142062], [-0.23019, -0.125303, 0.215689, -0.089684, -0.341527, -0.060551]], "network.6.bias": [-0.285533, -0.2842, -0.261792, -0.269602, -0.245077, -0.848151], "network.8.weight": [[-0.501755, 0.249157, -0.79797, -0.064252, -0.389512, -0.387189], [-0.104378, 0.313363, 0.102429, -0.35831, -0.833709, -0.172285], [0.683955, -0.223953, 0.646757, 0.020728, 0.749541, 0.26101], [-0.460278, 0.158385, 0.089349, -0.354801, -0.287205, -0.203274], [0.52748, 0.09995, 0.463623, -0.163991, 0.587447, -0.169508], [-0.118675, 0.241217, -0.42668, 0.235188, 0.045307, -0.525332]], "network.8.bias": [-0.307913, 1.172268, -0.189108, 1.325356, -0.281821, -0.183239], "network.10.weight": [[-0.196276, 1.292643, -0.655016, 1.424481, -0.425019, -0.047097]], "network.10.bias": [0.667066]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6887917220592499, "train_acc": 0.57, "val_loss": 0.7091773152351379, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6854925751686096, "train_acc": 0.57, "val_loss": 0.6971123218536377, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6843567192554474, "train_acc": 0.57, "val_loss": 0.6907727718353271, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6836235821247101, "train_acc": 0.57, "val_loss": 0.6833649277687073, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6690933704376221, "train_acc": 0.57, "val_loss": 0.6439899206161499, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6651520431041718, "train_acc": 0.495, "val_loss": 0.5969977378845215, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5540052652359009, "train_acc": 0.78, "val_loss": 0.3405512273311615, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.30597031116485596, "train_acc": 0.935, "val_loss": 0.3347865045070648, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.27336927503347397, "train_acc": 0.895, "val_loss": 0.1931450515985489, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.16497084125876427, "train_acc": 0.935, "val_loss": 0.1794845461845398, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.18871577829122543, "train_acc": 0.915, "val_loss": 0.17958040535449982, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.19051287323236465, "train_acc": 0.91, "val_loss": 0.18128204345703125, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.1866174191236496, "train_acc": 0.93, "val_loss": 0.1695978045463562, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.20427650213241577, "train_acc": 0.93, "val_loss": 0.15691900253295898, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.17863729596138, "train_acc": 0.94, "val_loss": 0.1152968630194664, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7091773152351379, "final_val_loss": 0.6439899206161499, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5969977378845215, "final_val_loss": 0.1152968630194664, "initial_val_acc": 0.86, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 11}, "improvement": 0.45999999999999996, "first_improvement_epoch": 4}}
|
341
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.92, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6516, "learning_rate": 0.08297798046077672, "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: 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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## Activation Signature
### 0
fourier: [[27.203576, 28.172494, 28.211017, 29.452842, 30.371728, 30.793765, 31.733842, 34.446228, 36.583389, 86.817718], [22.440351, 22.748942, 23.631780, 23.966333, 25.651061, 25.915762, 29.265838, 29.652940, 33.189896, 196.558584], [15.099519, 15.329026, 15.341879, 15.964910, 16.222248, 17.982024, 18.667315, 18.780210, 19.500172, 102.174523], [24.262508, 24.384828, 26.941757, 28.042641, 30.115047, 38.399399, 38.669826, 40.288916, 40.811570, 303.544843], [31.437618, 32.055057, 33.152891, 33.918547, 34.303143, 36.107601, 38.603596, 40.206518, 46.128058, 49.859410], [15.074476, 15.130987, 15.469161, 16.029064, 17.390960, 17.602213, 17.739293, 22.890761, 23.000016, 75.553793], [18.150992, 18.871723, 19.614052, 20.944327, 22.032761, 22.765623, 23.415187, 25.069519, 28.714417, 48.391197], [13.470714, 13.630613, 13.710084, 14.712999, 15.890829, 16.283018, 16.975156, 17.334598, 17.888955, 130.960905]]
### 2
fourier: [[16.731882, 16.874127, 16.932409, 17.431664, 17.559026, 18.388443, 19.117681, 19.292860, 24.055549, 159.415363], [6.350599, 6.569426, 7.595292, 8.085548, 8.254293, 8.814501, 9.647038, 9.853918, 10.149313, 90.876361], [13.518151, 13.666455, 14.356992, 14.388083, 14.704399, 15.007762, 15.286004, 17.581175, 17.636693, 96.831310], [30.591753, 31.071329, 32.797312, 33.250676, 34.076047, 34.957896, 37.357447, 38.533345, 42.284334, 242.805983], [16.371983, 18.596130, 20.481191, 20.830068, 22.326830, 22.834182, 23.010705, 25.376855, 25.484212, 85.160729], [30.795476, 32.611842, 34.725349, 36.334984, 38.329536, 39.604724, 39.794865, 40.980356, 41.678524, 179.915084], [4.737891, 5.464319, 5.518856, 5.530152, 5.837755, 5.861509, 6.379165, 6.510975, 6.950613, 53.051070], [9.935728, 10.586556, 10.799863, 11.886144, 12.480030, 12.918966, 13.711072, 14.332277, 15.232652, 93.993938]]
### 4
fourier: [[15.425959, 15.924842, 16.570230, 17.167978, 18.349172, 18.871748, 20.912362, 22.831615, 23.495739, 80.899868], [24.686890, 27.428948, 27.769457, 30.414843, 30.736400, 31.174979, 31.472916, 32.722001, 35.550596, 160.500686], [20.182710, 22.550117, 22.861498, 24.678571, 25.063029, 25.244447, 26.089051, 26.817903, 28.931072, 157.650328], [22.304661, 23.210823, 23.861201, 23.968296, 25.027886, 26.409081, 26.670924, 26.958831, 30.623274, 189.433808], [21.839002, 24.040911, 25.360690, 25.391314, 26.121312, 27.402159, 27.790467, 27.983295, 29.992894, 254.758744], [19.254069, 20.159803, 21.247352, 22.465956, 22.745545, 23.319318, 25.017092, 25.069959, 29.426138, 223.218660], [6.426380, 6.622085, 8.426701, 8.445291, 8.517519, 8.882769, 9.106079, 9.689997, 9.698337, 33.209063], [20.955707, 21.255906, 23.482638, 24.405528, 25.216674, 26.007677, 26.767043, 27.507990, 28.506141, 184.144743]]
### 6
fourier: [[22.551584, 25.232424, 27.602241, 28.269195, 29.651737, 29.943545, 30.570843, 30.927317, 35.178970, 153.415083], [15.930802, 16.528917, 18.598253, 19.528734, 19.954404, 19.960209, 21.018061, 21.375726, 22.354789, 205.133569], [14.608133, 14.730668, 14.751375, 15.358223, 15.749573, 16.105113, 16.329376, 16.938765, 17.293691, 192.477667], [18.653255, 20.904366, 22.031014, 22.039350, 22.344945, 24.214296, 24.478422, 24.865781, 25.124939, 41.911101], [26.621825, 28.267564, 29.592813, 31.058542, 32.035268, 33.083580, 33.741683, 35.045441, 36.658756, 116.914239], [49.458564, 49.881387, 60.092227, 61.562143, 63.492703, 63.969795, 64.713555, 66.354605, 73.419156, 372.369902], [10.406700, 10.838153, 11.021583, 11.060349, 11.887901, 12.196376, 12.385965, 12.645512, 13.096487, 81.314774], [8.824689, 8.897149, 8.958298, 9.078775, 9.520423, 9.541474, 9.762796, 9.872921, 13.519476, 137.008547]]
### 8
fourier: [[5.060932, 5.210690, 6.186490, 6.242406, 6.570600, 6.671457, 6.879579, 7.017035, 7.449900, 47.139250], [52.994551, 55.752599, 60.541422, 62.736246, 67.440464, 68.216047, 68.309984, 71.962038, 76.618873, 364.203787], [52.033690, 52.526196, 58.646942, 62.904556, 63.715633, 64.056385, 65.066689, 67.338024, 69.531690, 273.477602], [54.189333, 55.791273, 62.250630, 63.298130, 66.867969, 67.394318, 68.457361, 71.290935, 73.770840, 282.210932], [30.374123, 31.366744, 34.623026, 35.533195, 37.471649, 37.557647, 38.287943, 40.482553, 40.982130, 160.352322], [38.790701, 40.409459, 42.639127, 47.573482, 47.600319, 48.143794, 48.178938, 50.226354, 51.920914, 191.067526], [61.034578, 61.976677, 68.928013, 70.056974, 74.573861, 74.854026, 76.160275, 80.034304, 81.763765, 380.847351], [44.577203, 45.524823, 49.406308, 54.323440, 54.400016, 54.808886, 55.165838, 57.701411, 59.012483, 223.919293]]
### 10
fourier: [[37.833276, 37.944071, 48.224633, 48.280465, 48.523239, 50.090383, 50.743732, 51.268128, 59.786356, 201.863672], [36.996193, 40.701495, 42.855416, 46.338192, 47.059030, 47.712313, 48.297003, 48.934142, 54.705496, 220.597449], [82.271734, 89.500590, 93.065596, 99.059946, 104.147261, 105.158066, 106.910270, 109.300699, 119.093233, 516.822040], [44.750065, 47.288075, 55.758823, 58.092624, 58.305684, 59.049065, 59.493357, 61.201804, 69.837212, 260.388767], [63.479028, 64.425807, 70.284344, 71.529060, 77.498717, 77.782402, 78.800224, 84.711868, 84.782819, 372.996999], [84.529877, 92.311056, 94.561030, 100.945222, 106.630894, 107.473831, 109.356205, 112.353693, 121.291564, 513.541784], [38.577393, 39.944593, 47.978537, 50.044836, 50.046598, 51.143210, 51.220954, 52.120345, 59.910422, 241.067420], [32.701073, 33.834788, 40.875014, 41.238660, 41.658694, 43.080909, 44.198100, 44.714983, 51.399019, 169.212622]]
### 12
fourier: [[151.167195, 160.822480, 168.501153, 173.523890, 187.857860, 189.090025, 191.816644, 202.375034, 209.184463, 951.882417]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[27.203576, 28.172494, 28.211017, 29.452842, 30.371728, 30.793765, 31.733842, 34.446228, 36.583389, 86.817718], [22.440351, 22.748942, 23.631780, 23.966333, 25.651061, 25.915762, 29.265838, 29.652940, 33.189896, 196.558584], [15.099519, 15.329026, 15.341879, 15.964910, 16.222248, 17.982024, 18.667315, 18.780210, 19.500172, 102.174523], [24.262508, 24.384828, 26.941757, 28.042641, 30.115047, 38.399399, 38.669826, 40.288916, 40.811570, 303.544843], [31.437618, 32.055057, 33.152891, 33.918547, 34.303143, 36.107601, 38.603596, 40.206518, 46.128058, 49.859410], [15.074476, 15.130987, 15.469161, 16.029064, 17.390960, 17.602213, 17.739293, 22.890761, 23.000016, 75.553793], [18.150992, 18.871723, 19.614052, 20.944327, 22.032761, 22.765623, 23.415187, 25.069519, 28.714417, 48.391197], [13.470714, 13.630613, 13.710084, 14.712999, 15.890829, 16.283018, 16.975156, 17.334598, 17.888955, 130.960905]]
### 2
fourier: [[16.731882, 16.874127, 16.932409, 17.431664, 17.559026, 18.388443, 19.117681, 19.292860, 24.055549, 159.415363], [6.350599, 6.569426, 7.595292, 8.085548, 8.254293, 8.814501, 9.647038, 9.853918, 10.149313, 90.876361], [13.518151, 13.666455, 14.356992, 14.388083, 14.704399, 15.007762, 15.286004, 17.581175, 17.636693, 96.831310], [30.591753, 31.071329, 32.797312, 33.250676, 34.076047, 34.957896, 37.357447, 38.533345, 42.284334, 242.805983], [16.371983, 18.596130, 20.481191, 20.830068, 22.326830, 22.834182, 23.010705, 25.376855, 25.484212, 85.160729], [30.795476, 32.611842, 34.725349, 36.334984, 38.329536, 39.604724, 39.794865, 40.980356, 41.678524, 179.915084], [4.737891, 5.464319, 5.518856, 5.530152, 5.837755, 5.861509, 6.379165, 6.510975, 6.950613, 53.051070], [9.935728, 10.586556, 10.799863, 11.886144, 12.480030, 12.918966, 13.711072, 14.332277, 15.232652, 93.993938]]
### 4
fourier: [[15.425959, 15.924842, 16.570230, 17.167978, 18.349172, 18.871748, 20.912362, 22.831615, 23.495739, 80.899868], [24.686890, 27.428948, 27.769457, 30.414843, 30.736400, 31.174979, 31.472916, 32.722001, 35.550596, 160.500686], [20.182710, 22.550117, 22.861498, 24.678571, 25.063029, 25.244447, 26.089051, 26.817903, 28.931072, 157.650328], [22.304661, 23.210823, 23.861201, 23.968296, 25.027886, 26.409081, 26.670924, 26.958831, 30.623274, 189.433808], [21.839002, 24.040911, 25.360690, 25.391314, 26.121312, 27.402159, 27.790467, 27.983295, 29.992894, 254.758744], [19.254069, 20.159803, 21.247352, 22.465956, 22.745545, 23.319318, 25.017092, 25.069959, 29.426138, 223.218660], [6.426380, 6.622085, 8.426701, 8.445291, 8.517519, 8.882769, 9.106079, 9.689997, 9.698337, 33.209063], [20.955707, 21.255906, 23.482638, 24.405528, 25.216674, 26.007677, 26.767043, 27.507990, 28.506141, 184.144743]]
### 6
fourier: [[22.551584, 25.232424, 27.602241, 28.269195, 29.651737, 29.943545, 30.570843, 30.927317, 35.178970, 153.415083], [15.930802, 16.528917, 18.598253, 19.528734, 19.954404, 19.960209, 21.018061, 21.375726, 22.354789, 205.133569], [14.608133, 14.730668, 14.751375, 15.358223, 15.749573, 16.105113, 16.329376, 16.938765, 17.293691, 192.477667], [18.653255, 20.904366, 22.031014, 22.039350, 22.344945, 24.214296, 24.478422, 24.865781, 25.124939, 41.911101], [26.621825, 28.267564, 29.592813, 31.058542, 32.035268, 33.083580, 33.741683, 35.045441, 36.658756, 116.914239], [49.458564, 49.881387, 60.092227, 61.562143, 63.492703, 63.969795, 64.713555, 66.354605, 73.419156, 372.369902], [10.406700, 10.838153, 11.021583, 11.060349, 11.887901, 12.196376, 12.385965, 12.645512, 13.096487, 81.314774], [8.824689, 8.897149, 8.958298, 9.078775, 9.520423, 9.541474, 9.762796, 9.872921, 13.519476, 137.008547]]
### 8
fourier: [[5.060932, 5.210690, 6.186490, 6.242406, 6.570600, 6.671457, 6.879579, 7.017035, 7.449900, 47.139250], [52.994551, 55.752599, 60.541422, 62.736246, 67.440464, 68.216047, 68.309984, 71.962038, 76.618873, 364.203787], [52.033690, 52.526196, 58.646942, 62.904556, 63.715633, 64.056385, 65.066689, 67.338024, 69.531690, 273.477602], [54.189333, 55.791273, 62.250630, 63.298130, 66.867969, 67.394318, 68.457361, 71.290935, 73.770840, 282.210932], [30.374123, 31.366744, 34.623026, 35.533195, 37.471649, 37.557647, 38.287943, 40.482553, 40.982130, 160.352322], [38.790701, 40.409459, 42.639127, 47.573482, 47.600319, 48.143794, 48.178938, 50.226354, 51.920914, 191.067526], [61.034578, 61.976677, 68.928013, 70.056974, 74.573861, 74.854026, 76.160275, 80.034304, 81.763765, 380.847351], [44.577203, 45.524823, 49.406308, 54.323440, 54.400016, 54.808886, 55.165838, 57.701411, 59.012483, 223.919293]]
### 10
fourier: [[37.833276, 37.944071, 48.224633, 48.280465, 48.523239, 50.090383, 50.743732, 51.268128, 59.786356, 201.863672], [36.996193, 40.701495, 42.855416, 46.338192, 47.059030, 47.712313, 48.297003, 48.934142, 54.705496, 220.597449], [82.271734, 89.500590, 93.065596, 99.059946, 104.147261, 105.158066, 106.910270, 109.300699, 119.093233, 516.822040], [44.750065, 47.288075, 55.758823, 58.092624, 58.305684, 59.049065, 59.493357, 61.201804, 69.837212, 260.388767], [63.479028, 64.425807, 70.284344, 71.529060, 77.498717, 77.782402, 78.800224, 84.711868, 84.782819, 372.996999], [84.529877, 92.311056, 94.561030, 100.945222, 106.630894, 107.473831, 109.356205, 112.353693, 121.291564, 513.541784], [38.577393, 39.944593, 47.978537, 50.044836, 50.046598, 51.143210, 51.220954, 52.120345, 59.910422, 241.067420], [32.701073, 33.834788, 40.875014, 41.238660, 41.658694, 43.080909, 44.198100, 44.714983, 51.399019, 169.212622]]
### 12
fourier: [[151.167195, 160.822480, 168.501153, 173.523890, 187.857860, 189.090025, 191.816644, 202.375034, 209.184463, 951.882417]]
## 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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"num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [151.1671954279829, 160.82247962047916, 168.5011531491879, 173.5238900834166, 187.85786000905722, 189.0900245754443, 191.81664428631169, 202.37503364456558, 209.18446295391567, 951.8824174329638]}}, "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": [[0.645896, 0.674276, -0.019565, -0.399612, 0.032154], [0.335799, 0.424369, 0.368383, 0.150295, -0.457142], [-0.043558, 0.008915, -0.253634, -0.462504, 0.455166], [-0.154927, -0.259827, -0.461882, -0.003952, -0.754518], [0.531188, 0.276877, 0.52365, -0.780028, 0.089747], [-0.105541, 0.016819, 0.315026, 0.281849, -0.572868], [0.565721, 0.323365, -0.045036, -0.296687, -0.129426], [0.060295, -0.254375, -0.314466, -0.177379, -0.126482]], "network.0.bias": [-0.209662, 0.464804, -0.137056, -0.802593, -0.250634, 0.384253, 0.134359, 0.12663], "network.2.weight": [[-0.174288, 0.548654, 0.023797, 0.058565, 0.242127, 0.615493, -0.259926, -0.148944], [0.067139, 0.286554, 0.333683, 0.084552, -0.170206, 0.033882, 0.110383, -0.278052], [0.109911, 0.664375, -0.374451, -0.280557, -0.252627, 0.1628, -0.490797, -0.367867], [0.01816, 0.65914, 0.047744, -0.213123, 0.436234, 0.290044, 0.437695, -0.512108], [-0.432473, 0.049932, -0.019388, -0.376708, -0.152188, 0.064386, -0.315652, 0.251922], [0.533413, 0.418419, 0.645718, -0.273405, 0.218473, -0.019963, 0.431804, -0.098883], [0.129266, -0.322048, -0.45268, 0.1476, 0.02511, -0.037846, 0.031276, 0.5625], [0.143191, -0.37302, -0.149771, 0.053592, 0.164967, -0.21186, -0.466426, 0.205517]], "network.2.bias": [0.124664, 0.381048, -0.024165, 0.10989, -0.185537, -0.121704, -0.019408, -0.053696], "network.4.weight": [[0.212705, -0.197533, 0.08602, 0.192805, 0.249059, -0.657527, 0.130328, -0.04252], [0.17625, 0.001343, 0.423139, 0.199601, -0.029624, 0.494567, -0.583075, -0.090873], [0.057871, -0.241867, 0.479118, 0.22993, -0.286153, 0.396121, -0.259411, 0.353738], [-0.268285, -0.400775, 0.137337, -0.320899, -0.018034, -0.237895, -0.068892, 0.495107], [0.767442, 0.140841, 0.093109, 0.60732, 0.165327, -0.358853, -0.326087, 0.07315], [-0.595799, -0.65646, 0.684229, -0.51908, 0.193926, 0.103493, 0.117083, 0.279608], [-0.037288, 0.288217, -0.417852, 0.374891, 0.21748, -0.139807, 0.471684, -0.245959], [0.385309, 0.125912, 0.390998, 0.05572, 0.438385, 0.369054, -0.399872, -0.095397]], "network.4.bias": [-0.389453, -0.532584, -0.024461, -0.091273, 0.363888, -0.383835, -0.058544, -0.036298], "network.6.weight": [[0.686859, 0.543491, 0.020108, 0.372678, 0.214978, 0.466585, 0.503837, 0.126613], [0.156455, 0.124419, -0.567601, 0.787328, -0.101605, 0.194352, 0.207188, -0.343347], [0.417133, -0.201272, 0.009463, 0.452068, -0.46808, 0.355388, 0.382348, -0.035843], [0.030074, 0.43593, 0.329838, 0.512039, -0.31874, -0.186067, 0.069075, 0.298706], [0.010878, 0.626165, 0.187889, 0.651472, -0.162216, 0.299098, -0.316504, 0.527144], [0.320674, 0.812296, 0.356197, 0.384742, 0.638579, 0.125148, 0.079065, 0.495356], [-0.103976, 0.42824, 0.495446, 0.508095, -0.501687, -0.265411, -0.314746, -0.269819], [-0.652819, -0.21852, -0.041729, -0.475336, 0.380138, -0.293234, -0.196401, 0.316639]], "network.6.bias": [-0.223743, -0.560415, -0.467762, -0.580592, -0.579365, -0.660961, -0.467513, 0.27775], "network.8.weight": [[0.27453, -0.130563, -0.65525, -0.102204, 0.002068, -0.172928, -0.306302, -0.07227], [0.478538, 0.090753, 0.349091, 0.132314, 0.249342, 0.66674, 0.131632, 0.183892], [-0.249896, -0.246259, -0.365769, -0.723474, -0.418665, -0.511292, -0.397674, 0.334025], [0.005457, -0.51903, -0.813484, -0.487534, -0.607472, -0.63701, -0.700204, 0.263299], [-0.138721, 0.230194, 0.126811, 0.359754, 0.314188, 0.370186, 0.811711, 0.086061], [-0.639668, -0.288451, -0.444441, -0.3931, -0.43135, -0.162977, 0.062558, 0.249663], [0.3912, -0.314205, -0.048098, 0.664306, 0.514062, 0.564933, 0.387566, 0.016063], [-0.528635, -0.474975, -0.662629, -0.571283, -0.520994, -0.205721, -0.129867, 0.162382]], "network.8.bias": [-0.176382, -0.259024, 0.092983, 0.229515, -0.273894, 0.157119, -0.032424, 0.11314], "network.10.weight": [[-0.208347, 0.351352, -0.341704, -0.791463, 0.323309, -0.442566, 0.109754, -0.501582], [-0.146278, 0.099524, -0.238749, -0.377773, 0.276309, -0.429526, 0.366964, -0.241108], [0.044213, 0.735578, -0.19012, -0.705471, 0.351558, -0.346136, 0.515722, -0.394576], [0.312216, 0.309594, -0.506548, -0.43379, 0.161196, -0.617287, 0.357895, -0.709232], [0.517026, 0.383496, -0.166909, -0.262645, 0.316727, 0.198861, 0.549656, 0.177162], [-0.120707, -0.723419, 0.289466, 0.551438, -0.416267, 0.275399, -0.532716, 0.481678], [0.10989, -0.527321, 0.572636, 0.337171, -0.198308, 0.138866, -0.056983, 0.454021], [0.255105, 0.053563, -0.761388, -0.349193, 0.132706, -0.523728, 0.385636, -0.52243]], "network.10.bias": [0.040791, 0.141751, 0.134538, 0.156808, -0.281052, 0.052757, -0.112696, 0.10761], "network.12.weight": [[-0.664495, -0.403252, -0.682969, -0.443978, -0.341138, 0.400037, 0.197901, -0.543085]], "network.12.bias": [0.169049]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6830557584762573, "train_acc": 0.535, "val_loss": 0.7182868719100952, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6901784837245941, "train_acc": 0.565, "val_loss": 0.682590663433075, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6544356644153595, "train_acc": 0.565, "val_loss": 0.47750067710876465, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.4522099792957306, "train_acc": 0.745, "val_loss": 0.24580879509449005, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.391253337264061, "train_acc": 0.84, "val_loss": 0.2725315988063812, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4182981699705124, "train_acc": 0.83, "val_loss": 0.3553096055984497, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.43329019844532013, "train_acc": 0.795, "val_loss": 0.34292298555374146, "val_acc": 0.86}], "summary": {"total_epochs": 7, "degraded_epochs": 3, "improved_epochs": 4, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7182868719100952, "final_val_loss": 0.47750067710876465, "initial_val_acc": 0.52, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.24580879509449005, "final_val_loss": 0.34292298555374146, "initial_val_acc": 0.92, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.26, "first_improvement_epoch": 2}}
|
342
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.92, "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": 5392, "learning_rate": 0.02666696636439691, "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: 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.2.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.8.weight": [
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[18.532971, 18.568857, 18.763579, 19.128161, 19.444177, 19.731096, 20.240294, 21.176195, 22.299372, 62.077920], [13.796528, 14.435418, 14.519675, 14.716976, 14.742923, 15.478025, 15.951094, 17.253065, 19.274385, 98.960668], [15.830816, 15.979051, 17.229039, 18.654038, 18.896781, 19.205019, 21.061714, 23.284648, 25.633358, 142.350096], [10.895091, 11.051322, 11.056657, 11.872635, 11.927769, 12.633967, 13.453773, 14.576479, 17.375287, 38.548638], [7.514626, 7.574635, 7.896558, 8.415669, 8.967400, 9.350653, 9.425177, 9.537535, 12.143874, 29.076283], [16.284753, 16.373063, 16.890534, 19.090342, 19.251147, 20.060949, 20.379801, 20.648980, 21.002410, 126.360263], [15.289514, 15.697725, 16.043261, 17.818383, 18.413715, 18.892190, 19.842759, 20.640732, 23.275161, 131.392380]]
### 2
fourier: [[6.959412, 6.981032, 7.497595, 7.499866, 7.997441, 8.552658, 8.946654, 9.955161, 11.484325, 84.697084], [10.151271, 11.124493, 11.502713, 11.627045, 12.537784, 12.644373, 13.937089, 14.321784, 14.740828, 52.517586], [13.349751, 13.516117, 13.614053, 14.686840, 15.377313, 16.084651, 16.953623, 17.371582, 19.723512, 153.466677], [9.481057, 9.576822, 10.629093, 10.852702, 11.057264, 11.172156, 12.718936, 13.175643, 13.606728, 67.025452], [11.579057, 11.728101, 12.182322, 14.220560, 15.526511, 15.581381, 16.262239, 16.355557, 17.230481, 108.327837], [11.068015, 11.440447, 11.603462, 12.925615, 13.830003, 14.045869, 15.838881, 16.116984, 18.696441, 50.979140], [9.277928, 9.956866, 10.063723, 11.453734, 11.584115, 12.376614, 13.002252, 13.504171, 14.170662, 27.142540]]
### 4
fourier: [[3.640962, 3.800461, 3.847354, 3.870116, 4.552236, 4.676728, 4.689024, 5.462097, 5.470739, 41.127769], [14.457495, 15.111256, 15.743281, 16.888762, 18.733306, 19.510141, 20.022874, 20.263018, 21.661873, 169.749818], [9.207339, 9.577996, 10.101811, 10.156924, 10.896948, 11.407811, 12.394624, 12.884865, 13.135571, 59.548934], [7.779893, 7.797618, 8.064630, 8.569175, 9.204652, 9.402599, 9.783040, 9.918645, 10.534876, 14.269282], [12.011617, 13.071676, 13.191466, 14.257120, 14.894734, 15.068749, 15.363003, 16.428172, 18.397064, 117.529721], [4.608784, 5.126743, 5.514396, 5.516866, 5.797566, 6.591108, 6.700199, 6.877244, 7.634219, 74.546896], [9.737878, 9.764803, 10.643457, 10.786601, 11.441514, 11.442186, 12.829950, 13.032470, 13.315294, 43.140460]]
### 6
fourier: [[3.782224, 4.285633, 4.543582, 4.563878, 4.985796, 5.089361, 5.839277, 6.505959, 6.631577, 28.542431], [5.162574, 5.448537, 5.800474, 6.383750, 6.427947, 6.619401, 6.768561, 6.855270, 7.177708, 7.805027], [7.203927, 7.505751, 8.047423, 8.145196, 8.158198, 8.930120, 9.059803, 9.736380, 10.301940, 59.230794], [2.603384, 2.664994, 2.699322, 2.803036, 2.863583, 3.077738, 3.276875, 3.721173, 4.146317, 26.897465], [9.852588, 10.700753, 11.026791, 12.692066, 13.037601, 13.228390, 13.672785, 13.706160, 14.969956, 83.163683], [11.331798, 12.013499, 13.074582, 13.799897, 14.386269, 15.247410, 15.694051, 15.795122, 17.612438, 127.117896], [9.781067, 10.071238, 11.057894, 11.403300, 12.447245, 13.340988, 13.444996, 13.887455, 14.771305, 85.198904]]
### 8
fourier: [[14.677305, 15.021172, 16.743152, 17.795993, 18.801356, 19.147623, 20.405246, 20.598653, 22.055925, 110.813754]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
0.51127,
0.344172,
-0.126031,
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[
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-0.047873,
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[
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0.486357,
0.376192,
0.097174
],
[
-0.217662,
0.18143,
-0.265935,
0.157048,
0.1377
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[
0.131886,
0.217988,
-0.068377,
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[
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],
[
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0.0079,
0.434671
]
],
"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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0.035711,
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"network.6.weight": [
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"network.8.weight": [
[
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],
"network.8.bias": [
0.256855
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}
## Activation Signature
### 0
fourier: [[18.532971, 18.568857, 18.763579, 19.128161, 19.444177, 19.731096, 20.240294, 21.176195, 22.299372, 62.077920], [13.796528, 14.435418, 14.519675, 14.716976, 14.742923, 15.478025, 15.951094, 17.253065, 19.274385, 98.960668], [15.830816, 15.979051, 17.229039, 18.654038, 18.896781, 19.205019, 21.061714, 23.284648, 25.633358, 142.350096], [10.895091, 11.051322, 11.056657, 11.872635, 11.927769, 12.633967, 13.453773, 14.576479, 17.375287, 38.548638], [7.514626, 7.574635, 7.896558, 8.415669, 8.967400, 9.350653, 9.425177, 9.537535, 12.143874, 29.076283], [16.284753, 16.373063, 16.890534, 19.090342, 19.251147, 20.060949, 20.379801, 20.648980, 21.002410, 126.360263], [15.289514, 15.697725, 16.043261, 17.818383, 18.413715, 18.892190, 19.842759, 20.640732, 23.275161, 131.392380]]
### 2
fourier: [[6.959412, 6.981032, 7.497595, 7.499866, 7.997441, 8.552658, 8.946654, 9.955161, 11.484325, 84.697084], [10.151271, 11.124493, 11.502713, 11.627045, 12.537784, 12.644373, 13.937089, 14.321784, 14.740828, 52.517586], [13.349751, 13.516117, 13.614053, 14.686840, 15.377313, 16.084651, 16.953623, 17.371582, 19.723512, 153.466677], [9.481057, 9.576822, 10.629093, 10.852702, 11.057264, 11.172156, 12.718936, 13.175643, 13.606728, 67.025452], [11.579057, 11.728101, 12.182322, 14.220560, 15.526511, 15.581381, 16.262239, 16.355557, 17.230481, 108.327837], [11.068015, 11.440447, 11.603462, 12.925615, 13.830003, 14.045869, 15.838881, 16.116984, 18.696441, 50.979140], [9.277928, 9.956866, 10.063723, 11.453734, 11.584115, 12.376614, 13.002252, 13.504171, 14.170662, 27.142540]]
### 4
fourier: [[3.640962, 3.800461, 3.847354, 3.870116, 4.552236, 4.676728, 4.689024, 5.462097, 5.470739, 41.127769], [14.457495, 15.111256, 15.743281, 16.888762, 18.733306, 19.510141, 20.022874, 20.263018, 21.661873, 169.749818], [9.207339, 9.577996, 10.101811, 10.156924, 10.896948, 11.407811, 12.394624, 12.884865, 13.135571, 59.548934], [7.779893, 7.797618, 8.064630, 8.569175, 9.204652, 9.402599, 9.783040, 9.918645, 10.534876, 14.269282], [12.011617, 13.071676, 13.191466, 14.257120, 14.894734, 15.068749, 15.363003, 16.428172, 18.397064, 117.529721], [4.608784, 5.126743, 5.514396, 5.516866, 5.797566, 6.591108, 6.700199, 6.877244, 7.634219, 74.546896], [9.737878, 9.764803, 10.643457, 10.786601, 11.441514, 11.442186, 12.829950, 13.032470, 13.315294, 43.140460]]
### 6
fourier: [[3.782224, 4.285633, 4.543582, 4.563878, 4.985796, 5.089361, 5.839277, 6.505959, 6.631577, 28.542431], [5.162574, 5.448537, 5.800474, 6.383750, 6.427947, 6.619401, 6.768561, 6.855270, 7.177708, 7.805027], [7.203927, 7.505751, 8.047423, 8.145196, 8.158198, 8.930120, 9.059803, 9.736380, 10.301940, 59.230794], [2.603384, 2.664994, 2.699322, 2.803036, 2.863583, 3.077738, 3.276875, 3.721173, 4.146317, 26.897465], [9.852588, 10.700753, 11.026791, 12.692066, 13.037601, 13.228390, 13.672785, 13.706160, 14.969956, 83.163683], [11.331798, 12.013499, 13.074582, 13.799897, 14.386269, 15.247410, 15.694051, 15.795122, 17.612438, 127.117896], [9.781067, 10.071238, 11.057894, 11.403300, 12.447245, 13.340988, 13.444996, 13.887455, 14.771305, 85.198904]]
### 8
fourier: [[14.677305, 15.021172, 16.743152, 17.795993, 18.801356, 19.147623, 20.405246, 20.598653, 22.055925, 110.813754]]
## 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": [18.532970521891215, 18.56885662536864, 18.763578513241317, 19.128160933528907, 19.444177397987854, 19.73109599334675, 20.24029422186594, 21.176194714042126, 22.299372205345584, 62.077919848263264]}, "1": {"fourier": [13.796528411044227, 14.435417708515134, 14.519675196046025, 14.716976190398437, 14.742923451682199, 15.478024697864347, 15.951093838213811, 17.253064582966243, 19.27438545403132, 98.96066807210445]}, "2": {"fourier": [15.830815579815695, 15.979051387712692, 17.22903876535208, 18.654038385741682, 18.896780507021536, 19.205019269042573, 21.061713597204765, 23.28464830336064, 25.63335751815877, 142.3500960767269]}, "3": {"fourier": [10.895090615428465, 11.051321704253077, 11.056656768675971, 11.87263532648981, 11.927768601227033, 12.633967449536268, 13.453772657333024, 14.576479387290222, 17.375286761159185, 38.548637971282005]}, "4": {"fourier": [7.514626264236357, 7.574634700781843, 7.8965580940956235, 8.41566859965768, 8.967399548630542, 9.350653051492397, 9.42517717412387, 9.537534859320363, 12.143873520831503, 29.076283112168312]}, "5": {"fourier": [16.284753253321956, 16.37306300178406, 16.89053393732775, 19.09034185252203, 19.251146679027713, 20.06094882132505, 20.379801118766693, 20.648979509240693, 21.002409809138424, 126.36026337742805]}, "6": {"fourier": [15.289513954100961, 15.697724814295364, 16.043260925077288, 17.818382734484985, 18.413714547044854, 18.892189687081924, 19.84275918643297, 20.640732211933237, 23.275161106902022, 131.3923799097538]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [6.959412093727173, 6.981032473529886, 7.497595337598421, 7.499866405456412, 7.997441161987938, 8.552657724995132, 8.946654024399809, 9.955161191843834, 11.48432496204893, 84.69708393514156]}, "1": {"fourier": [10.151270639705876, 11.12449293922296, 11.502713336732588, 11.627045209863892, 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[7.779892954803776, 7.797617533316168, 8.064629582390774, 8.569174803668023, 9.204651992325443, 9.402599007418873, 9.78304036296526, 9.918644929193754, 10.534876126271289, 14.269282132387161]}, "4": {"fourier": [12.01161650109796, 13.071676454887935, 13.191465546299964, 14.25711994206627, 14.894734433651788, 15.068749426143288, 15.363003065817704, 16.428172161068083, 18.39706444987966, 117.52972097694874]}, "5": {"fourier": [4.608784404257821, 5.126743079782016, 5.514395594083552, 5.516865584831476, 5.7975655208027925, 6.591108341100646, 6.700198628093774, 6.877244040766046, 7.63421918698283, 74.54689610004425]}, "6": {"fourier": [9.737877643258074, 9.76480256567291, 10.643457119663225, 10.786600686375053, 11.44151434043933, 11.44218574485783, 12.829949651347114, 13.032469912582435, 13.315294309613575, 43.14045999199152]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [3.782223593585929, 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"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": [[0.51127, 0.344172, -0.126031, -0.080166, -0.029069], [0.327759, 0.144564, 0.195529, -0.047873, -0.091968], [-0.364753, -0.111809, 0.486357, 0.376192, 0.097174], [-0.217662, 0.18143, -0.265935, 0.157048, 0.1377], [0.131886, 0.217988, -0.068377, -0.227146, -0.016274], [-0.458695, -0.21889, -0.05545, 0.042536, -0.057868], [-0.433317, 0.236991, 0.292637, 0.0079, 0.434671]], "network.0.bias": [-0.102623, 0.235908, 0.296806, 0.417478, 0.411728, -0.338333, 0.402983], "network.2.weight": [[0.164596, -0.402046, -0.476074, 0.053563, 0.081436, 0.065989, 0.211805], [-0.190666, -0.099629, 0.32335, -0.16264, -0.122942, -0.131127, 0.249667], [-0.054647, 0.164343, 0.509456, 0.358955, -0.176401, -0.330446, 0.287183], [-0.201955, 0.018464, 0.040564, 0.331926, -0.210391, -0.359932, 0.348625], [-0.004692, -0.22069, 0.396763, 0.356442, 0.045293, -0.199814, 0.307545], [-0.268329, -0.133266, 0.445864, -0.233292, -0.337231, 0.079203, 0.005732], [0.052328, 0.213867, -0.487769, -0.1303, 0.117203, 0.425973, 0.056683]], "network.2.bias": [-0.260757, 0.065476, 0.2225, 0.183153, 0.163249, 0.423338, 0.196398], "network.4.weight": [[0.054867, -0.099958, 0.152754, -0.217398, -0.33399, 0.179942, 0.120968], [-0.018876, 0.056062, 0.472108, 0.492565, 0.247932, 0.175393, -0.161016], [-0.081088, 0.333813, -0.07218, 0.210002, 0.245921, 0.447198, 0.18381], [-0.164707, -0.499552, 0.199392, -0.153033, -0.408096, 1.3e-05, 0.04158], [0.035711, -0.089722, 0.367107, -0.129972, 0.364631, 0.426291, -0.456203], [-0.274519, -0.213982, -0.010816, -0.18107, -0.271745, 0.070158, -0.317023], [-0.252041, -0.277827, 0.216863, -0.274044, -0.343294, -0.472866, 0.063747]], "network.4.bias": [-0.225393, 0.356848, -0.145546, 0.362107, 0.203876, -0.301915, 0.173253], "network.6.weight": [[0.226099, -0.137553, 0.057985, 0.379372, -0.036134, -0.016357, 0.566592], [-0.020486, 0.092361, 0.044709, -0.130389, 0.265188, 0.197986, 0.075029], [-0.377508, -0.04733, -0.394405, -0.076666, -0.26132, 0.322573, 0.140074], [0.301524, 0.377744, -0.131088, -0.175517, -0.26723, 0.210216, -0.279326], [-0.110147, 0.176957, 0.396399, -0.432114, 0.184722, 0.209877, -0.585192], [-0.275319, 0.359496, 0.107842, -0.340862, 0.383877, -0.100732, 0.130881], [-0.188261, 0.362254, 0.152269, -0.485659, 0.135923, 0.189158, -0.184052]], "network.6.bias": [-0.03635, -0.411589, -0.00853, 0.091185, 0.162832, 0.185009, 0.049464], "network.8.weight": [[0.386765, 0.017303, 0.286557, -0.211208, -0.383222, -0.464845, -0.499653]], "network.8.bias": [0.256855]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7061755955219269, "train_acc": 0.445, "val_loss": 0.6853218078613281, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6804632544517517, "train_acc": 0.51, "val_loss": 0.6202123165130615, "val_acc": 0.6}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6237564980983734, "train_acc": 0.59, "val_loss": 0.47005999088287354, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47942833602428436, "train_acc": 0.88, "val_loss": 0.3403761684894562, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3707933723926544, "train_acc": 0.91, "val_loss": 0.2846851050853729, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.29532161355018616, "train_acc": 0.925, "val_loss": 0.2581990659236908, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2347862422466278, "train_acc": 0.925, "val_loss": 0.23757566511631012, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2031751424074173, "train_acc": 0.935, "val_loss": 0.2748083174228668, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3185078799724579, "train_acc": 0.93, "val_loss": 0.3073228895664215, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2144756093621254, "train_acc": 0.935, "val_loss": 0.29683998227119446, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6853218078613281, "final_val_loss": 0.6202123165130615, "initial_val_acc": 0.66, "final_val_acc": 0.6, "best_val_acc": 0.6}, "improved_stage": {"initial_val_loss": 0.47005999088287354, "final_val_loss": 0.29683998227119446, "initial_val_acc": 0.9, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.32000000000000006, "first_improvement_epoch": 1}}
|
343
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "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": 7780, "learning_rate": 0.020959568683882768, "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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[
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[
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"network.2.weight": [
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[
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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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]
}
## Activation Signature
### 0
fourier: [[18.538683, 18.702518, 20.894946, 21.349291, 21.607213, 22.674080, 25.408615, 25.912360, 27.557409, 78.765555], [26.693027, 26.967580, 30.042594, 30.806310, 31.015163, 31.398231, 31.884768, 34.873554, 36.375818, 196.454775], [20.829663, 20.953003, 21.519114, 21.675263, 21.745443, 21.995707, 22.641890, 25.497764, 27.580965, 117.861828], [20.479718, 20.485531, 20.525618, 20.912960, 22.991847, 23.931324, 24.645270, 25.433376, 25.733821, 146.141761], [20.772330, 21.554424, 23.081272, 23.121996, 23.434824, 23.675171, 25.412179, 30.085964, 35.135394, 154.338811], [21.796077, 21.889238, 21.890664, 23.262795, 24.854937, 24.877657, 25.478154, 28.120650, 33.816232, 158.103757], [22.119127, 22.636550, 23.499193, 23.557378, 23.588874, 24.085785, 24.577133, 27.839992, 29.427574, 140.876391]]
### 2
fourier: [[34.914098, 36.685753, 37.543599, 37.940133, 40.289384, 42.054446, 45.629556, 46.379001, 46.623340, 256.585418], [10.939255, 11.044240, 11.806242, 12.292415, 12.908854, 13.059048, 14.887209, 16.419414, 16.813083, 57.953822], [4.160130, 4.392656, 4.548568, 5.027901, 5.045386, 5.083326, 5.824225, 7.542794, 7.594741, 30.789374], [26.842366, 26.935812, 27.639761, 28.518909, 30.193827, 32.947150, 33.744901, 36.046452, 36.744809, 229.916388], [19.644638, 19.771847, 20.262460, 20.707196, 22.983482, 23.679598, 24.383980, 25.972559, 26.606445, 166.040409], [16.039653, 18.133459, 19.642359, 20.271858, 20.276919, 21.299145, 21.782568, 21.807726, 22.990142, 109.276117], [32.533805, 34.054616, 34.635144, 35.438496, 37.295177, 39.499235, 42.323923, 43.147779, 43.813762, 240.860480]]
### 4
fourier: [[7.114742, 7.129994, 7.189332, 7.350219, 7.358768, 7.919353, 8.392358, 9.312472, 10.125419, 73.495008], [1.142679, 1.252303, 1.438175, 1.448970, 1.471976, 1.491066, 1.540115, 1.827863, 1.888763, 11.090143], [10.093623, 11.606200, 11.874982, 11.940352, 12.070833, 13.687839, 13.802153, 13.898265, 15.297318, 41.164855], [39.239063, 39.862435, 40.906273, 41.212800, 46.875118, 47.904092, 50.783964, 51.581689, 52.882892, 312.132160], [57.666528, 59.879411, 62.009869, 62.596359, 68.052670, 72.021146, 76.103025, 77.521778, 77.907799, 457.635526], [7.625158, 8.069707, 8.165661, 8.307937, 8.387573, 9.313036, 9.433356, 10.653620, 11.066849, 94.136947], [7.071120, 7.384029, 7.735435, 7.918784, 8.033477, 8.102728, 8.949431, 9.209474, 9.657856, 62.757274]]
### 6
fourier: [[5.996753, 6.276547, 6.383450, 6.400045, 7.143219, 7.277774, 8.049757, 8.154987, 8.309357, 18.740434], [38.932524, 39.515926, 40.418214, 41.614569, 45.883463, 47.653950, 51.447029, 51.855325, 51.947986, 299.898922], [3.186754, 3.628703, 3.682737, 3.733607, 3.876054, 4.181983, 4.330965, 4.361298, 4.600715, 34.427699], [22.705084, 22.974672, 23.523274, 24.057529, 26.862897, 27.594698, 29.889009, 29.960176, 30.176768, 187.715574], [1.560660, 1.622333, 1.740614, 1.797139, 1.833373, 1.937954, 2.104136, 2.138807, 2.217252, 20.311013], [29.239970, 29.505763, 29.815722, 31.619417, 34.291340, 35.850298, 38.908268, 39.134153, 39.624028, 234.459843], [48.916311, 50.220352, 51.755585, 52.142599, 57.988905, 60.029658, 64.512706, 64.729645, 65.182042, 380.417565]]
### 8
fourier: [[14.054266, 14.349397, 14.603565, 15.047471, 16.623745, 17.188052, 18.642439, 18.724149, 18.769122, 72.179248], [49.544228, 50.684860, 51.609350, 53.036542, 58.636269, 60.599740, 65.743073, 65.979326, 66.138408, 397.561774], [13.542142, 13.892159, 14.026159, 14.789443, 16.240812, 16.714240, 18.328077, 18.537735, 18.583293, 58.248587], [45.328836, 45.583287, 45.942993, 48.539468, 53.324645, 55.141512, 60.124501, 60.433672, 60.769735, 344.512957], [39.858873, 40.603516, 41.316654, 42.717820, 47.106520, 48.780013, 52.846325, 53.155366, 53.296606, 322.600638], [7.247134, 7.784219, 8.016867, 8.449719, 8.811342, 9.069344, 9.569665, 9.586041, 9.699092, 71.018597], [35.654531, 35.908613, 36.229195, 38.198312, 41.958850, 43.412648, 47.297278, 47.543951, 47.809211, 268.716312]]
### 10
fourier: [[59.072424, 59.099582, 59.481243, 63.609023, 69.632281, 71.595686, 78.951875, 79.058815, 79.811078, 461.261553]]
## 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: [[18.538683, 18.702518, 20.894946, 21.349291, 21.607213, 22.674080, 25.408615, 25.912360, 27.557409, 78.765555], [26.693027, 26.967580, 30.042594, 30.806310, 31.015163, 31.398231, 31.884768, 34.873554, 36.375818, 196.454775], [20.829663, 20.953003, 21.519114, 21.675263, 21.745443, 21.995707, 22.641890, 25.497764, 27.580965, 117.861828], [20.479718, 20.485531, 20.525618, 20.912960, 22.991847, 23.931324, 24.645270, 25.433376, 25.733821, 146.141761], [20.772330, 21.554424, 23.081272, 23.121996, 23.434824, 23.675171, 25.412179, 30.085964, 35.135394, 154.338811], [21.796077, 21.889238, 21.890664, 23.262795, 24.854937, 24.877657, 25.478154, 28.120650, 33.816232, 158.103757], [22.119127, 22.636550, 23.499193, 23.557378, 23.588874, 24.085785, 24.577133, 27.839992, 29.427574, 140.876391]]
### 2
fourier: [[34.914098, 36.685753, 37.543599, 37.940133, 40.289384, 42.054446, 45.629556, 46.379001, 46.623340, 256.585418], [10.939255, 11.044240, 11.806242, 12.292415, 12.908854, 13.059048, 14.887209, 16.419414, 16.813083, 57.953822], [4.160130, 4.392656, 4.548568, 5.027901, 5.045386, 5.083326, 5.824225, 7.542794, 7.594741, 30.789374], [26.842366, 26.935812, 27.639761, 28.518909, 30.193827, 32.947150, 33.744901, 36.046452, 36.744809, 229.916388], [19.644638, 19.771847, 20.262460, 20.707196, 22.983482, 23.679598, 24.383980, 25.972559, 26.606445, 166.040409], [16.039653, 18.133459, 19.642359, 20.271858, 20.276919, 21.299145, 21.782568, 21.807726, 22.990142, 109.276117], [32.533805, 34.054616, 34.635144, 35.438496, 37.295177, 39.499235, 42.323923, 43.147779, 43.813762, 240.860480]]
### 4
fourier: [[7.114742, 7.129994, 7.189332, 7.350219, 7.358768, 7.919353, 8.392358, 9.312472, 10.125419, 73.495008], [1.142679, 1.252303, 1.438175, 1.448970, 1.471976, 1.491066, 1.540115, 1.827863, 1.888763, 11.090143], [10.093623, 11.606200, 11.874982, 11.940352, 12.070833, 13.687839, 13.802153, 13.898265, 15.297318, 41.164855], [39.239063, 39.862435, 40.906273, 41.212800, 46.875118, 47.904092, 50.783964, 51.581689, 52.882892, 312.132160], [57.666528, 59.879411, 62.009869, 62.596359, 68.052670, 72.021146, 76.103025, 77.521778, 77.907799, 457.635526], [7.625158, 8.069707, 8.165661, 8.307937, 8.387573, 9.313036, 9.433356, 10.653620, 11.066849, 94.136947], [7.071120, 7.384029, 7.735435, 7.918784, 8.033477, 8.102728, 8.949431, 9.209474, 9.657856, 62.757274]]
### 6
fourier: [[5.996753, 6.276547, 6.383450, 6.400045, 7.143219, 7.277774, 8.049757, 8.154987, 8.309357, 18.740434], [38.932524, 39.515926, 40.418214, 41.614569, 45.883463, 47.653950, 51.447029, 51.855325, 51.947986, 299.898922], [3.186754, 3.628703, 3.682737, 3.733607, 3.876054, 4.181983, 4.330965, 4.361298, 4.600715, 34.427699], [22.705084, 22.974672, 23.523274, 24.057529, 26.862897, 27.594698, 29.889009, 29.960176, 30.176768, 187.715574], [1.560660, 1.622333, 1.740614, 1.797139, 1.833373, 1.937954, 2.104136, 2.138807, 2.217252, 20.311013], [29.239970, 29.505763, 29.815722, 31.619417, 34.291340, 35.850298, 38.908268, 39.134153, 39.624028, 234.459843], [48.916311, 50.220352, 51.755585, 52.142599, 57.988905, 60.029658, 64.512706, 64.729645, 65.182042, 380.417565]]
### 8
fourier: [[14.054266, 14.349397, 14.603565, 15.047471, 16.623745, 17.188052, 18.642439, 18.724149, 18.769122, 72.179248], [49.544228, 50.684860, 51.609350, 53.036542, 58.636269, 60.599740, 65.743073, 65.979326, 66.138408, 397.561774], [13.542142, 13.892159, 14.026159, 14.789443, 16.240812, 16.714240, 18.328077, 18.537735, 18.583293, 58.248587], [45.328836, 45.583287, 45.942993, 48.539468, 53.324645, 55.141512, 60.124501, 60.433672, 60.769735, 344.512957], [39.858873, 40.603516, 41.316654, 42.717820, 47.106520, 48.780013, 52.846325, 53.155366, 53.296606, 322.600638], [7.247134, 7.784219, 8.016867, 8.449719, 8.811342, 9.069344, 9.569665, 9.586041, 9.699092, 71.018597], [35.654531, 35.908613, 36.229195, 38.198312, 41.958850, 43.412648, 47.297278, 47.543951, 47.809211, 268.716312]]
### 10
fourier: [[59.072424, 59.099582, 59.481243, 63.609023, 69.632281, 71.595686, 78.951875, 79.058815, 79.811078, 461.261553]]
## 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": 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": [[-0.439183, -0.384151, -0.180988, 0.096972, 0.313763], [0.607978, 0.714671, 0.009495, -0.08279, 0.036688], [0.313482, 0.482033, 0.237855, -0.258515, -0.007792], [-0.212367, 0.407406, 0.317033, 0.373976, -0.455281], [-0.394001, -0.324091, 0.353385, -0.474845, -0.312592], [0.020507, -0.473616, 0.390581, -0.509712, -0.254029], [0.692004, 0.144193, 0.049479, 0.135553, -0.256537]], "network.0.bias": [0.154512, 0.236402, 0.108222, 0.242987, 0.031629, -0.328723, 0.363735], "network.2.weight": [[0.074236, 0.588277, 0.341615, 0.322595, 0.003385, 0.447358, 0.56692], [0.480798, -0.386575, 0.08028, 0.003611, -0.424282, 0.101285, -0.077606], [-0.087881, -0.153909, 0.146159, 0.019047, -0.018477, 0.330135, 0.262346], [-0.016888, 0.557544, 0.280685, 0.360416, 0.086016, 0.116517, 0.194964], [-0.614952, 0.348839, 0.357013, 0.138085, 0.078739, -0.194743, 0.068881], [-0.249975, -0.454841, 0.092889, 0.155713, -0.467966, -0.069139, -0.387527], [-0.0193, 0.545295, 0.26733, 0.283526, 0.221352, 0.107982, 0.579379]], "network.2.bias": [-0.422618, 0.16198, 0.009461, 0.000107, 0.359333, 0.102439, -0.325492], "network.4.weight": [[-0.094181, -0.266445, 0.367516, -0.060591, -0.21034, 0.252114, 0.014547], [0.075302, 0.329458, 0.307787, -0.177226, 0.109324, -0.002622, -0.027856], [-0.086383, -0.085825, -0.213329, 0.249231, -0.123625, -0.237715, -0.350778], [0.411304, -0.325088, 0.013211, 0.337321, 0.502289, -0.343436, 0.189937], [0.645743, -0.198763, 0.535276, 0.188391, 0.636469, -0.193527, 0.519622], [0.110172, -0.297054, 0.236295, -0.285452, 0.091171, 0.046954, -0.207164], [-0.221776, -0.155293, 0.377637, 0.235368, 0.005551, -0.083769, -0.219747]], "network.4.bias": [-0.152049, -0.149987, 0.408766, 0.000857, -0.00501, -0.310104, -0.210777], "network.6.weight": [[-0.108117, 0.342822, 0.332439, -0.148558, 0.003449, -0.34342, 0.230264], [0.076317, -0.239142, -0.269266, 0.378275, 0.409591, 0.19612, 0.154743], [0.180197, -0.168764, -0.065465, 0.070276, -0.106435, 0.063921, -0.188027], [-0.215516, 0.034718, 0.063431, -0.364639, -0.142914, -0.29079, -0.225814], [0.216051, 0.258985, -0.093651, 0.249612, -0.195106, 0.329763, -0.36797], [-0.366507, 0.023638, -0.542091, 0.133738, 0.403044, 0.172931, 0.176514], [0.01374, -0.231483, 0.132924, 0.575654, 0.458442, 0.101996, -0.207369]], "network.6.bias": [0.258648, -0.041938, -0.077973, -0.096601, -0.09412, 0.136279, -0.117534], "network.8.weight": [[0.049134, -0.083382, -0.199072, 0.167, 0.232766, -0.068358, -0.179433], [-0.117253, 0.446765, -0.101628, 0.139574, 0.429982, 0.136805, 0.575206], [0.45952, -0.154646, -0.265079, 0.224135, -0.065133, -0.00177, -0.146757], [-0.505351, 0.580861, 0.089975, -0.236283, -0.231559, 0.286509, 0.280659], [-0.173607, -0.077911, -0.244614, -0.05114, -0.022855, 0.434285, 0.613671], [-0.333917, -0.193944, -0.308886, 0.30519, 0.023384, 0.122925, -0.078325], [-0.358481, 0.374908, 0.088605, -0.060144, 0.293234, 0.285787, 0.250916]], "network.8.bias": [0.409433, 0.146327, 0.45741, -0.003819, 0.130905, -0.104186, -0.042781], "network.10.weight": [[0.442107, -0.408535, 0.281088, -0.234413, -0.268104, 0.084309, -0.468223]], "network.10.bias": [-0.120671]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6718504130840302, "train_acc": 0.605, "val_loss": 0.7397817969322205, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6669158637523651, "train_acc": 0.605, "val_loss": 0.7312495708465576, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.632764995098114, "train_acc": 0.605, "val_loss": 0.6972779631614685, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6288445293903351, "train_acc": 0.515, "val_loss": 0.6169721484184265, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5393042713403702, "train_acc": 0.515, "val_loss": 0.5279472470283508, "val_acc": 0.44}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45324522256851196, "train_acc": 0.515, "val_loss": 0.4598970115184784, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3736089915037155, "train_acc": 0.865, "val_loss": 0.4107782244682312, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3184480220079422, "train_acc": 0.955, "val_loss": 0.3713720440864563, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2867046296596527, "train_acc": 0.95, "val_loss": 0.3432515859603882, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.23502099514007568, "train_acc": 0.95, "val_loss": 0.31109046936035156, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2090725302696228, "train_acc": 0.95, "val_loss": 0.2719589173793793, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1612156294286251, "train_acc": 0.96, "val_loss": 0.23073217272758484, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.15104011446237564, "train_acc": 0.96, "val_loss": 0.21502365171909332, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.7397817969322205, "final_val_loss": 0.6972779631614685, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6169721484184265, "final_val_loss": 0.21502365171909332, "initial_val_acc": 0.44, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
344
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5559, "learning_rate": 0.01747757604832974, "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: 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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"network.0.bias": [
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"network.2.weight": [
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[
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[
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## Activation Signature
### 0
fourier: [[10.254225, 10.317237, 11.366203, 11.999241, 12.337874, 12.339714, 13.706170, 14.787292, 17.744493, 45.782846], [15.684773, 16.012282, 16.925304, 17.247041, 19.529475, 22.247444, 25.029035, 25.534843, 28.809889, 121.571284], [10.661995, 11.061458, 11.161470, 11.932972, 12.067621, 12.352923, 12.991165, 13.344223, 14.655161, 18.445273], [9.580861, 9.755696, 10.041193, 11.713890, 12.391987, 13.654454, 15.657686, 18.361644, 19.466421, 56.928957], [9.270152, 9.583962, 9.700889, 10.317562, 10.415623, 10.488965, 12.724444, 12.906246, 13.276245, 133.016130], [18.667864, 18.857765, 20.126202, 20.749796, 20.989815, 21.380218, 21.712083, 23.831335, 24.279486, 28.200366], [24.848468, 25.701456, 26.045209, 27.380953, 27.527752, 28.975115, 29.406860, 37.856445, 38.872916, 277.114680], [15.304666, 15.391730, 17.657042, 18.592016, 18.893093, 20.201070, 20.459650, 21.367086, 23.364843, 129.706910]]
### 2
fourier: [[8.008883, 8.332825, 8.620059, 9.018592, 9.081414, 9.499179, 10.007693, 11.089362, 14.004137, 29.120346], [10.840325, 11.210858, 11.317408, 11.435572, 11.614103, 12.200145, 13.128505, 14.025262, 14.452192, 115.228441], [4.888647, 4.972294, 5.133756, 5.178522, 5.194920, 5.359287, 5.487024, 5.830844, 6.324370, 22.064974], [1.814854, 1.825766, 1.888196, 2.042458, 2.150064, 2.296477, 2.339079, 3.008548, 3.042487, 40.046953], [3.538304, 3.717731, 4.113087, 4.352444, 5.045449, 5.355903, 5.520033, 5.697995, 6.654200, 26.976960], [6.206208, 6.303726, 6.453750, 6.594006, 6.799594, 8.111698, 8.427261, 8.919018, 8.930757, 62.892570], [19.452662, 20.978712, 21.426289, 22.405751, 22.802266, 23.756711, 24.331341, 28.306826, 31.464444, 160.024383], [8.617828, 9.666430, 10.090618, 10.586030, 11.901922, 12.004394, 12.250680, 12.642880, 12.944518, 63.610850]]
### 4
fourier: [[7.094535, 7.286551, 7.525605, 7.582871, 8.329092, 9.316372, 9.568416, 9.940675, 11.701291, 62.034084], [3.611947, 3.772090, 3.785968, 4.201885, 5.026073, 5.211412, 6.099010, 6.443179, 6.783933, 9.178033], [8.653588, 8.656970, 8.824836, 9.729383, 9.756650, 10.656028, 11.149511, 11.669757, 12.995240, 40.267862], [12.616165, 13.959998, 14.652753, 14.889315, 15.080098, 15.733755, 16.821466, 18.624344, 22.074160, 103.149981], [5.732345, 5.868578, 6.211300, 6.259727, 7.098850, 7.560570, 8.214665, 9.242493, 9.368144, 10.627582], [2.863576, 2.946224, 2.954649, 3.183963, 3.200247, 3.244884, 3.496460, 4.236882, 4.539478, 11.753094], [8.202468, 8.748876, 8.945266, 8.987860, 9.294138, 10.329454, 10.942444, 11.516056, 14.081631, 85.955699], [3.518475, 3.779346, 3.908287, 4.066444, 4.530979, 4.575626, 4.743419, 5.309261, 5.580928, 29.015927]]
### 6
fourier: [[3.644754, 3.830584, 4.136811, 4.215610, 4.260752, 4.380403, 5.015398, 5.068416, 5.322797, 6.427767], [4.920688, 4.926920, 5.406914, 5.531544, 6.262776, 6.289531, 7.325054, 7.512317, 8.351735, 8.362885], [3.790220, 3.895039, 3.921405, 4.182092, 4.848787, 4.906520, 5.351582, 5.634482, 5.926744, 6.717168], [7.317038, 7.603104, 7.952515, 8.989460, 9.741369, 10.462916, 11.525001, 11.687113, 13.269815, 76.915572], [2.349945, 2.448398, 2.467369, 2.529587, 2.590258, 2.676193, 2.790458, 2.815434, 4.172522, 9.222108], [11.776109, 11.986587, 12.276571, 13.768544, 14.236404, 15.944374, 16.449192, 17.076610, 19.889040, 94.609815], [6.172498, 6.384664, 7.007971, 7.823622, 8.033220, 8.424947, 8.605620, 9.910245, 11.479424, 23.829682], [1.485706, 1.526186, 1.549175, 1.594394, 1.811860, 1.887130, 2.144133, 2.286975, 2.318097, 36.072056]]
### 8
fourier: [[9.098543, 9.205783, 9.379414, 10.808834, 11.195837, 11.829763, 12.292087, 13.072343, 15.289993, 41.913573]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[10.254225, 10.317237, 11.366203, 11.999241, 12.337874, 12.339714, 13.706170, 14.787292, 17.744493, 45.782846], [15.684773, 16.012282, 16.925304, 17.247041, 19.529475, 22.247444, 25.029035, 25.534843, 28.809889, 121.571284], [10.661995, 11.061458, 11.161470, 11.932972, 12.067621, 12.352923, 12.991165, 13.344223, 14.655161, 18.445273], [9.580861, 9.755696, 10.041193, 11.713890, 12.391987, 13.654454, 15.657686, 18.361644, 19.466421, 56.928957], [9.270152, 9.583962, 9.700889, 10.317562, 10.415623, 10.488965, 12.724444, 12.906246, 13.276245, 133.016130], [18.667864, 18.857765, 20.126202, 20.749796, 20.989815, 21.380218, 21.712083, 23.831335, 24.279486, 28.200366], [24.848468, 25.701456, 26.045209, 27.380953, 27.527752, 28.975115, 29.406860, 37.856445, 38.872916, 277.114680], [15.304666, 15.391730, 17.657042, 18.592016, 18.893093, 20.201070, 20.459650, 21.367086, 23.364843, 129.706910]]
### 2
fourier: [[8.008883, 8.332825, 8.620059, 9.018592, 9.081414, 9.499179, 10.007693, 11.089362, 14.004137, 29.120346], [10.840325, 11.210858, 11.317408, 11.435572, 11.614103, 12.200145, 13.128505, 14.025262, 14.452192, 115.228441], [4.888647, 4.972294, 5.133756, 5.178522, 5.194920, 5.359287, 5.487024, 5.830844, 6.324370, 22.064974], [1.814854, 1.825766, 1.888196, 2.042458, 2.150064, 2.296477, 2.339079, 3.008548, 3.042487, 40.046953], [3.538304, 3.717731, 4.113087, 4.352444, 5.045449, 5.355903, 5.520033, 5.697995, 6.654200, 26.976960], [6.206208, 6.303726, 6.453750, 6.594006, 6.799594, 8.111698, 8.427261, 8.919018, 8.930757, 62.892570], [19.452662, 20.978712, 21.426289, 22.405751, 22.802266, 23.756711, 24.331341, 28.306826, 31.464444, 160.024383], [8.617828, 9.666430, 10.090618, 10.586030, 11.901922, 12.004394, 12.250680, 12.642880, 12.944518, 63.610850]]
### 4
fourier: [[7.094535, 7.286551, 7.525605, 7.582871, 8.329092, 9.316372, 9.568416, 9.940675, 11.701291, 62.034084], [3.611947, 3.772090, 3.785968, 4.201885, 5.026073, 5.211412, 6.099010, 6.443179, 6.783933, 9.178033], [8.653588, 8.656970, 8.824836, 9.729383, 9.756650, 10.656028, 11.149511, 11.669757, 12.995240, 40.267862], [12.616165, 13.959998, 14.652753, 14.889315, 15.080098, 15.733755, 16.821466, 18.624344, 22.074160, 103.149981], [5.732345, 5.868578, 6.211300, 6.259727, 7.098850, 7.560570, 8.214665, 9.242493, 9.368144, 10.627582], [2.863576, 2.946224, 2.954649, 3.183963, 3.200247, 3.244884, 3.496460, 4.236882, 4.539478, 11.753094], [8.202468, 8.748876, 8.945266, 8.987860, 9.294138, 10.329454, 10.942444, 11.516056, 14.081631, 85.955699], [3.518475, 3.779346, 3.908287, 4.066444, 4.530979, 4.575626, 4.743419, 5.309261, 5.580928, 29.015927]]
### 6
fourier: [[3.644754, 3.830584, 4.136811, 4.215610, 4.260752, 4.380403, 5.015398, 5.068416, 5.322797, 6.427767], [4.920688, 4.926920, 5.406914, 5.531544, 6.262776, 6.289531, 7.325054, 7.512317, 8.351735, 8.362885], [3.790220, 3.895039, 3.921405, 4.182092, 4.848787, 4.906520, 5.351582, 5.634482, 5.926744, 6.717168], [7.317038, 7.603104, 7.952515, 8.989460, 9.741369, 10.462916, 11.525001, 11.687113, 13.269815, 76.915572], [2.349945, 2.448398, 2.467369, 2.529587, 2.590258, 2.676193, 2.790458, 2.815434, 4.172522, 9.222108], [11.776109, 11.986587, 12.276571, 13.768544, 14.236404, 15.944374, 16.449192, 17.076610, 19.889040, 94.609815], [6.172498, 6.384664, 7.007971, 7.823622, 8.033220, 8.424947, 8.605620, 9.910245, 11.479424, 23.829682], [1.485706, 1.526186, 1.549175, 1.594394, 1.811860, 1.887130, 2.144133, 2.286975, 2.318097, 36.072056]]
### 8
fourier: [[9.098543, 9.205783, 9.379414, 10.808834, 11.195837, 11.829763, 12.292087, 13.072343, 15.289993, 41.913573]]
## 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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"2": {"fourier": [3.790220297452273, 3.895038901833853, 3.9214045577793413, 4.1820920862123865, 4.848787198908172, 4.906519663294534, 5.351582072634738, 5.634482244802018, 5.9267435937268, 6.717167628629129]}, "3": {"fourier": [7.3170375585111795, 7.603103905065913, 7.952514753584498, 8.989460312822958, 9.74136924648379, 10.462915555105761, 11.52500095687122, 11.687112643304646, 13.26981530794172, 76.91557198762894]}, "4": {"fourier": [2.3499446195168914, 2.4483980672227177, 2.467368962924018, 2.5295871542642256, 2.5902579434160384, 2.676193366076773, 2.790458207146428, 2.8154342767684506, 4.17252237056087, 9.222107768058777]}, "5": {"fourier": [11.776109088804665, 11.986586771401484, 12.27657143382137, 13.768544122328827, 14.236403846519714, 15.944373847697909, 16.44919233987701, 17.076610391025163, 19.88904017885808, 94.60981491953135]}, "6": {"fourier": [6.172497539707432, 6.384663704342686, 7.007970921172719, 7.823621566143349, 8.03321969853159, 8.424947434180556, 8.605620228616432, 9.910244935501384, 11.479424247505857, 23.82968221604824]}, "7": {"fourier": [1.4857057550422628, 1.526186469913865, 1.54917481797017, 1.5943942526878843, 1.8118601648965498, 1.887129784205132, 2.144132712122799, 2.2869752917321535, 2.3180971987800087, 36.07205590605736]}}, "layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [9.098543007305894, 9.205783179162713, 9.379414019254748, 10.808833734583024, 11.195836964340115, 11.829763027241862, 12.292087208407938, 13.072342600078391, 15.289993350269896, 41.91357338428497]}}, "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": "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.205446, 0.060425, 0.391953, 0.089353, -0.270504], [0.552822, -0.408334, -0.099367, 0.403469, 0.26598], [-0.194631, -0.209657, 0.034548, 0.039352, 0.403522], [0.16593, 0.050123, -0.01961, 0.056734, 0.386513], [0.068229, -0.036271, -0.343598, -0.197685, 0.026452], [-0.431312, -0.371688, -0.13322, 0.360337, 0.0508], [0.455337, 0.453275, 0.234212, 0.354601, 0.062893], [0.303584, -0.190843, 0.212582, 0.488202, 0.08253]], "network.0.bias": [-0.022479, 0.421219, -0.026794, -0.222683, -0.387734, 0.519392, 0.359209, -0.181616], "network.2.weight": [[0.515485, -0.182643, 0.003604, -0.280606, 0.137761, -0.01277, 0.082969, 0.203352], [-0.045463, 0.273696, -0.029989, 0.282479, -0.404668, 0.523329, 0.052223, 0.017279], [-0.229494, -0.002954, 0.210974, -0.076393, -0.082172, -0.006687, 0.097764, -0.324454], [-0.163539, -0.19452, -0.276862, 0.279916, 0.036167, -0.038745, -0.162723, 0.264921], [-0.082672, -0.015243, 0.006128, -0.281373, -0.309825, 0.027688, -0.097666, 0.084724], [-0.392466, 0.098345, -0.056501, -0.022319, 0.135825, 0.196748, 0.066659, 0.120289], [-0.444591, 0.313461, 0.538506, 0.365955, -0.354096, 0.513133, 0.218158, 0.139327], [-0.349286, 0.260799, -0.080757, -0.209938, 0.416809, 0.181802, -0.225201, -0.223744]], "network.2.bias": [-0.056013, 0.342956, 0.023979, -0.05027, 0.066738, 0.362019, 0.146446, 0.230295], "network.4.weight": [[-0.268039, 0.219505, -0.084529, -0.081041, -0.431936, 0.1828, 0.139793, 0.092913], [0.227544, 0.114418, -0.207597, -0.295008, 0.305888, 0.225244, -0.283298, -0.425623], [0.17448, -0.160461, 0.148818, -0.187075, -0.173771, -0.184749, -0.269217, -0.477365], [-0.192158, 0.066254, 0.115323, 0.191659, -0.452477, 0.288125, 0.505183, -0.283667], [0.477648, -0.152411, -0.46571, -0.374254, 0.029047, 0.06506, -0.158636, 0.083165], [0.222295, 0.302306, -0.464958, -0.198727, -0.013473, -0.000141, -0.222634, 0.083667], [-0.266375, 0.269619, -0.006111, -0.471281, -0.404808, 0.082867, 0.191866, -0.411365], [0.183456, -0.230783, -0.481766, 0.340976, -0.015087, -0.214195, 0.033877, 0.188687]], "network.4.bias": [0.129823, 0.190266, 0.186403, 0.074349, 0.198226, -0.223356, 0.222522, -0.013299], "network.6.weight": [[-0.144551, 0.490681, 0.441805, -0.056488, 0.211061, 0.10238, 0.020042, -0.047259], [0.26747, 0.028335, 0.292182, -0.35934, 0.427112, 0.38857, -0.063344, 0.028627], [0.250034, 0.27082, 0.101781, -0.227541, 0.192604, 0.062834, -0.213534, -0.239973], [0.096521, -0.425347, 0.124925, 0.079728, -0.335267, -0.298351, 0.485596, -0.42005], [0.235055, -0.526922, -0.478227, -0.087099, -0.120283, -0.3493, -0.141233, -0.05505], [0.194311, -0.104028, -0.508418, 0.405003, -0.201012, -0.387747, 0.41795, -0.357544], [-0.087742, 0.288914, 0.010728, -0.293287, 0.007403, 0.427218, -0.14875, 0.070904], [0.035682, -0.099086, 0.381304, 0.105871, 0.272612, 0.341009, 0.019457, 0.031521]], "network.6.bias": [0.061547, 0.210734, 0.199575, 0.333797, 0.200371, 0.119267, 0.21858, -0.535713], "network.8.weight": [[0.140321, 0.135357, 0.063996, -0.307154, -0.148638, -0.48058, 0.238393, 0.264551]], "network.8.bias": [0.272503]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7247222661972046, "train_acc": 0.43, "val_loss": 0.6928144693374634, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7070253491401672, "train_acc": 0.43, "val_loss": 0.6857485175132751, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6846628785133362, "train_acc": 0.555, "val_loss": 0.6743245124816895, "val_acc": 0.66}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6552902162075043, "train_acc": 0.695, "val_loss": 0.6490412950515747, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6025304794311523, "train_acc": 0.68, "val_loss": 0.5536346435546875, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5027921795845032, "train_acc": 0.86, "val_loss": 0.45402196049690247, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.4053387939929962, "train_acc": 0.885, "val_loss": 0.3721512258052826, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3475903570652008, "train_acc": 0.88, "val_loss": 0.3627948760986328, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.34641361236572266, "train_acc": 0.855, "val_loss": 0.3696831166744232, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.29710355401039124, "train_acc": 0.885, "val_loss": 0.3178940713405609, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.33882877230644226, "train_acc": 0.87, "val_loss": 0.3187732696533203, "val_acc": 0.84}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.31689128279685974, "train_acc": 0.87, "val_loss": 0.2946847379207611, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.25759807229042053, "train_acc": 0.885, "val_loss": 0.363900750875473, "val_acc": 0.8}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.2768722176551819, "train_acc": 0.88, "val_loss": 0.2892419993877411, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6928144693374634, "final_val_loss": 0.6490412950515747, "initial_val_acc": 0.52, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5536346435546875, "final_val_loss": 0.2892419993877411, "initial_val_acc": 0.78, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
345
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6266, "learning_rate": 0.08547902662331178, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.313514,
0.025409,
0.379616,
0.398993,
-0.914129
],
[
0.347912,
-0.230783,
0.022027,
0.144654,
1.169697
],
[
0.567223,
0.141083,
0.098642,
-0.603438,
1.07737
],
[
-0.214222,
-0.703016,
-0.419578,
-0.15439,
-0.088018
],
[
-0.066756,
0.340208,
-0.293415,
0.388374,
-0.673995
],
[
0.493546,
0.056396,
-0.379738,
0.166507,
1.141968
]
],
"network.0.bias": [
0.009839,
-0.081372,
-0.308105,
-0.216995,
-0.491064,
-0.241548
],
"network.2.weight": [
[
-0.613383,
-0.348537,
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0.326443,
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}
## Activation Signature
### 0
fourier: [[23.475243, 23.607603, 25.027640, 25.631537, 26.271632, 26.865945, 27.984234, 32.309219, 37.187009, 39.129137], [26.081258, 28.308203, 31.695075, 34.145169, 34.451452, 35.099314, 41.329541, 50.205868, 54.605449, 155.689727], [32.957432, 34.352432, 36.372264, 39.639066, 42.230765, 47.167825, 48.175621, 52.413954, 53.996252, 80.606238], [26.533821, 26.965644, 27.867933, 29.586148, 30.228117, 33.393758, 34.685526, 37.643103, 39.156778, 277.265009], [22.627886, 24.561402, 24.733804, 26.246139, 27.457323, 27.769398, 28.386430, 32.928180, 39.142106, 50.897536], [28.116034, 29.354040, 29.781359, 35.297853, 36.626930, 38.846343, 40.738577, 48.941718, 54.498502, 130.290365]]
### 2
fourier: [[10.563759, 11.828379, 11.833104, 12.207221, 13.126368, 13.419958, 13.572612, 18.205844, 20.540267, 77.913148], [27.980012, 28.112889, 28.464394, 29.212741, 30.332026, 31.367657, 43.448465, 48.506807, 54.255478, 249.287292], [53.034822, 57.295914, 59.528683, 69.933563, 77.111893, 78.511226, 79.072643, 99.664564, 110.389572, 290.313613], [33.630906, 34.353378, 34.415031, 45.113861, 48.000745, 49.814871, 50.968558, 65.514852, 71.657155, 207.145366], [17.781501, 19.159711, 22.026679, 22.068740, 23.384581, 26.816731, 27.643928, 34.635255, 37.336030, 99.344863], [40.246309, 40.983874, 42.794906, 53.441651, 57.023162, 59.259106, 62.011355, 77.378909, 83.470791, 208.156258]]
### 4
fourier: [[82.567463, 83.799783, 84.707402, 111.937567, 122.056711, 123.277232, 124.174534, 159.511009, 184.097885, 587.331897], [16.060811, 16.882745, 16.906247, 20.676661, 23.014665, 23.437673, 23.887620, 30.384887, 34.839763, 75.332648], [34.232912, 35.061806, 35.581931, 46.635328, 50.810356, 51.030331, 51.647995, 66.321844, 76.587496, 271.083196], [52.715404, 52.970133, 54.203978, 72.899278, 78.974319, 79.276985, 80.112770, 102.861667, 118.996901, 337.515712], [18.678110, 19.095062, 19.113454, 26.648572, 26.859047, 27.635662, 28.132957, 35.735591, 41.157192, 105.857939], [84.389981, 84.750504, 85.630572, 111.999906, 122.547758, 124.258276, 124.772759, 160.442983, 183.691772, 508.459250]]
### 6
fourier: [[9.429309, 9.731892, 9.757962, 12.956227, 14.113540, 14.273269, 14.430196, 18.792504, 21.126276, 121.035308], [60.769414, 61.870818, 62.615817, 81.333952, 89.127300, 89.777458, 91.212306, 116.651790, 134.983920, 429.278507], [0.890207, 0.899822, 0.977373, 0.990630, 1.035520, 1.082618, 1.127140, 1.175073, 1.839661, 18.267536], [145.306851, 147.793798, 148.673871, 194.361578, 214.065844, 215.077550, 219.093678, 282.206867, 321.791954, 913.991234], [107.832537, 109.665252, 110.900376, 146.094561, 160.322772, 160.431714, 163.532117, 210.742223, 240.743478, 734.330626], [44.842000, 45.698373, 46.022550, 61.429196, 67.137981, 67.312711, 68.352433, 88.496234, 100.509762, 352.601104]]
### 8
fourier: [[6.092117, 6.234418, 6.241607, 7.718924, 8.636497, 8.984406, 9.480527, 12.502553, 13.021645, 31.704628], [15.296351, 15.425041, 15.536547, 20.297341, 22.353129, 23.279390, 23.805532, 31.221329, 33.666705, 43.488051], [87.115114, 88.640201, 88.745368, 115.085170, 127.493018, 128.322235, 132.367298, 170.341781, 192.185726, 525.939463], [87.773727, 89.394188, 89.429188, 116.195361, 128.602660, 129.618403, 133.438226, 172.049351, 193.666171, 527.940532], [105.873169, 107.819982, 108.302816, 140.443503, 155.445303, 155.998896, 160.388646, 206.427121, 233.917839, 631.328317], [10.609550, 10.812414, 10.880917, 14.348178, 15.749326, 16.230127, 16.362789, 21.183324, 21.553010, 23.519445]]
### 10
fourier: [[36.865558, 37.826911, 37.854145, 49.310198, 54.165853, 55.409552, 56.715998, 73.817035, 81.702330, 152.008669], [24.484279, 25.061232, 25.161401, 32.905290, 36.058237, 36.818239, 37.417580, 48.606019, 54.344227, 156.225789], [1.998355, 2.008529, 2.211691, 2.352932, 2.416368, 2.444263, 2.467997, 2.948641, 4.010754, 85.727681], [121.873676, 124.665507, 125.511147, 160.873140, 178.024370, 179.879253, 185.476506, 238.717974, 269.553030, 715.258722], [56.721223, 57.862863, 58.671046, 74.270380, 82.579604, 82.636847, 85.435688, 108.998051, 125.295442, 306.029442], [50.788614, 51.678803, 52.669081, 66.063522, 73.126649, 73.871557, 75.896364, 96.133475, 112.076034, 281.833176]]
### 12
fourier: [[84.987122, 87.153398, 88.311917, 112.285295, 124.413597, 126.056912, 129.617734, 167.410900, 188.611178, 425.956741]]
## 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: 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: [[23.475243, 23.607603, 25.027640, 25.631537, 26.271632, 26.865945, 27.984234, 32.309219, 37.187009, 39.129137], [26.081258, 28.308203, 31.695075, 34.145169, 34.451452, 35.099314, 41.329541, 50.205868, 54.605449, 155.689727], [32.957432, 34.352432, 36.372264, 39.639066, 42.230765, 47.167825, 48.175621, 52.413954, 53.996252, 80.606238], [26.533821, 26.965644, 27.867933, 29.586148, 30.228117, 33.393758, 34.685526, 37.643103, 39.156778, 277.265009], [22.627886, 24.561402, 24.733804, 26.246139, 27.457323, 27.769398, 28.386430, 32.928180, 39.142106, 50.897536], [28.116034, 29.354040, 29.781359, 35.297853, 36.626930, 38.846343, 40.738577, 48.941718, 54.498502, 130.290365]]
### 2
fourier: [[10.563759, 11.828379, 11.833104, 12.207221, 13.126368, 13.419958, 13.572612, 18.205844, 20.540267, 77.913148], [27.980012, 28.112889, 28.464394, 29.212741, 30.332026, 31.367657, 43.448465, 48.506807, 54.255478, 249.287292], [53.034822, 57.295914, 59.528683, 69.933563, 77.111893, 78.511226, 79.072643, 99.664564, 110.389572, 290.313613], [33.630906, 34.353378, 34.415031, 45.113861, 48.000745, 49.814871, 50.968558, 65.514852, 71.657155, 207.145366], [17.781501, 19.159711, 22.026679, 22.068740, 23.384581, 26.816731, 27.643928, 34.635255, 37.336030, 99.344863], [40.246309, 40.983874, 42.794906, 53.441651, 57.023162, 59.259106, 62.011355, 77.378909, 83.470791, 208.156258]]
### 4
fourier: [[82.567463, 83.799783, 84.707402, 111.937567, 122.056711, 123.277232, 124.174534, 159.511009, 184.097885, 587.331897], [16.060811, 16.882745, 16.906247, 20.676661, 23.014665, 23.437673, 23.887620, 30.384887, 34.839763, 75.332648], [34.232912, 35.061806, 35.581931, 46.635328, 50.810356, 51.030331, 51.647995, 66.321844, 76.587496, 271.083196], [52.715404, 52.970133, 54.203978, 72.899278, 78.974319, 79.276985, 80.112770, 102.861667, 118.996901, 337.515712], [18.678110, 19.095062, 19.113454, 26.648572, 26.859047, 27.635662, 28.132957, 35.735591, 41.157192, 105.857939], [84.389981, 84.750504, 85.630572, 111.999906, 122.547758, 124.258276, 124.772759, 160.442983, 183.691772, 508.459250]]
### 6
fourier: [[9.429309, 9.731892, 9.757962, 12.956227, 14.113540, 14.273269, 14.430196, 18.792504, 21.126276, 121.035308], [60.769414, 61.870818, 62.615817, 81.333952, 89.127300, 89.777458, 91.212306, 116.651790, 134.983920, 429.278507], [0.890207, 0.899822, 0.977373, 0.990630, 1.035520, 1.082618, 1.127140, 1.175073, 1.839661, 18.267536], [145.306851, 147.793798, 148.673871, 194.361578, 214.065844, 215.077550, 219.093678, 282.206867, 321.791954, 913.991234], [107.832537, 109.665252, 110.900376, 146.094561, 160.322772, 160.431714, 163.532117, 210.742223, 240.743478, 734.330626], [44.842000, 45.698373, 46.022550, 61.429196, 67.137981, 67.312711, 68.352433, 88.496234, 100.509762, 352.601104]]
### 8
fourier: [[6.092117, 6.234418, 6.241607, 7.718924, 8.636497, 8.984406, 9.480527, 12.502553, 13.021645, 31.704628], [15.296351, 15.425041, 15.536547, 20.297341, 22.353129, 23.279390, 23.805532, 31.221329, 33.666705, 43.488051], [87.115114, 88.640201, 88.745368, 115.085170, 127.493018, 128.322235, 132.367298, 170.341781, 192.185726, 525.939463], [87.773727, 89.394188, 89.429188, 116.195361, 128.602660, 129.618403, 133.438226, 172.049351, 193.666171, 527.940532], [105.873169, 107.819982, 108.302816, 140.443503, 155.445303, 155.998896, 160.388646, 206.427121, 233.917839, 631.328317], [10.609550, 10.812414, 10.880917, 14.348178, 15.749326, 16.230127, 16.362789, 21.183324, 21.553010, 23.519445]]
### 10
fourier: [[36.865558, 37.826911, 37.854145, 49.310198, 54.165853, 55.409552, 56.715998, 73.817035, 81.702330, 152.008669], [24.484279, 25.061232, 25.161401, 32.905290, 36.058237, 36.818239, 37.417580, 48.606019, 54.344227, 156.225789], [1.998355, 2.008529, 2.211691, 2.352932, 2.416368, 2.444263, 2.467997, 2.948641, 4.010754, 85.727681], [121.873676, 124.665507, 125.511147, 160.873140, 178.024370, 179.879253, 185.476506, 238.717974, 269.553030, 715.258722], [56.721223, 57.862863, 58.671046, 74.270380, 82.579604, 82.636847, 85.435688, 108.998051, 125.295442, 306.029442], [50.788614, 51.678803, 52.669081, 66.063522, 73.126649, 73.871557, 75.896364, 96.133475, 112.076034, 281.833176]]
### 12
fourier: [[84.987122, 87.153398, 88.311917, 112.285295, 124.413597, 126.056912, 129.617734, 167.410900, 188.611178, 425.956741]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840976774692535, "train_acc": 0.58, "val_loss": 0.7319542169570923, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6494381427764893, "train_acc": 0.58, "val_loss": 0.6352582573890686, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6188289821147919, "train_acc": 0.515, "val_loss": 0.500556468963623, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.42404186725616455, "train_acc": 0.85, "val_loss": 0.5333412289619446, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.35430270433425903, "train_acc": 0.845, "val_loss": 0.35275569558143616, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.28593041002750397, "train_acc": 0.895, "val_loss": 0.3843627870082855, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.29222287237644196, "train_acc": 0.91, "val_loss": 0.4142627716064453, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2887982130050659, "train_acc": 0.905, "val_loss": 0.3650802671909332, "val_acc": 0.86}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.7319542169570923, "final_val_loss": 0.6352582573890686, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.500556468963623, "final_val_loss": 0.3650802671909332, "initial_val_acc": 0.84, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 4}, "improvement": 0.42, "first_improvement_epoch": 1}}
|
346
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6631, "learning_rate": 0.07991356446259283, "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: 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: [[41.607691, 42.669913, 48.284475, 48.857189, 54.807979, 55.085792, 56.815817, 59.097371, 64.978501, 248.816210], [32.866847, 34.028440, 36.479734, 39.565956, 43.223223, 43.370096, 45.169784, 54.976052, 60.717995, 179.231636], [14.261343, 15.282853, 15.327649, 15.591320, 16.340743, 16.852135, 17.300519, 20.485633, 21.099648, 203.790024], [21.829319, 21.958313, 22.878378, 24.860282, 25.410713, 25.433165, 25.608048, 33.242921, 36.725385, 82.804019], [40.277809, 41.254559, 42.452553, 42.560548, 46.445545, 49.553179, 50.941505, 51.587585, 52.910245, 144.229479], [6.264657, 6.367371, 6.694853, 6.791270, 7.275023, 7.324868, 7.936814, 8.624832, 9.424999, 111.539260], [37.752346, 37.799036, 38.345350, 39.904255, 39.991205, 44.483426, 44.760939, 44.786570, 45.470014, 120.467309], [51.234100, 51.532487, 53.936700, 55.380424, 58.087144, 59.255653, 59.512678, 69.774232, 72.463305, 390.235190]]
### 2
fourier: [[24.406971, 25.404980, 25.842639, 33.074238, 33.589159, 33.833938, 40.647125, 40.996337, 51.329713, 172.231527], [6.663842, 6.671492, 6.936059, 7.823570, 8.027432, 8.563450, 9.285381, 9.758632, 10.261161, 20.094985], [29.570474, 33.363877, 34.797337, 35.598740, 36.317008, 38.232295, 44.209898, 45.384225, 46.212890, 79.051778], [27.933521, 29.839882, 32.812048, 33.409348, 38.878506, 41.774147, 45.154508, 46.110073, 47.399307, 154.531782], [8.269604, 8.366619, 8.928952, 10.051766, 10.280623, 10.695517, 11.560492, 11.936783, 12.087501, 96.528946], [7.749706, 7.875412, 8.081262, 9.406600, 9.688708, 10.033586, 10.504449, 10.551680, 12.033883, 120.175594], [29.958618, 34.883738, 36.227720, 36.551767, 37.661755, 38.762396, 44.713262, 45.371135, 47.500149, 80.050582], [24.037522, 27.824604, 29.120357, 29.980519, 31.718012, 31.818314, 36.146642, 36.543551, 38.472645, 101.213218]]
### 4
fourier: [[19.386704, 23.529244, 23.652768, 24.156186, 24.268962, 24.914293, 30.164537, 30.610819, 30.867669, 182.093388], [10.268588, 10.754322, 12.349703, 12.416029, 13.684433, 14.869261, 15.182444, 15.334472, 15.604918, 116.996516], [14.208791, 15.631893, 16.699248, 16.744042, 17.191611, 17.313518, 20.379895, 22.125239, 22.137388, 22.278702], [30.788738, 31.577055, 32.221974, 32.873317, 35.641021, 35.805205, 36.481979, 42.313441, 43.797704, 44.399350], [7.836551, 7.960104, 8.781666, 8.910883, 9.836578, 11.086167, 11.674987, 11.809136, 12.557378, 96.299173], [11.047796, 11.567976, 12.195775, 12.222768, 12.642640, 12.941311, 14.290250, 14.305016, 14.411978, 75.921775], [24.005018, 25.608203, 28.988673, 30.510714, 31.466129, 31.553633, 35.382849, 35.666557, 37.210205, 39.306277], [8.964326, 9.360505, 9.768077, 9.832985, 9.996253, 10.762165, 12.277258, 12.485402, 12.491674, 125.393534]]
### 6
fourier: [[18.746825, 19.902094, 21.064627, 21.143141, 21.197346, 22.938305, 23.659906, 24.656716, 24.678065, 141.677124], [15.727878, 16.350453, 17.532156, 17.552335, 18.186557, 20.788156, 22.831287, 23.431906, 23.843922, 44.558240], [7.263634, 7.369479, 8.673066, 8.910478, 8.991316, 9.314388, 9.880792, 10.325486, 10.679285, 41.273092], [47.742668, 52.322300, 56.228526, 57.088486, 57.791067, 68.052482, 69.076676, 69.875705, 73.233204, 256.330673], [12.666470, 14.985716, 14.994208, 15.350161, 15.373802, 15.562972, 17.891685, 18.972347, 19.073010, 72.930157], [11.931272, 12.697857, 12.918327, 13.060132, 13.100960, 14.318883, 14.526020, 14.867971, 15.418645, 125.677443], [14.669201, 16.544814, 17.090733, 17.113007, 17.158078, 18.130505, 21.561829, 21.641183, 21.873788, 99.331489], [14.031021, 14.034205, 16.707175, 16.753828, 17.315702, 18.611533, 18.740903, 20.509784, 21.271937, 89.357353]]
### 8
fourier: [[31.434744, 32.443819, 33.146243, 33.780253, 36.609954, 43.066160, 45.789277, 45.867505, 50.117988, 334.702796]]
## 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: 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: [[41.607691, 42.669913, 48.284475, 48.857189, 54.807979, 55.085792, 56.815817, 59.097371, 64.978501, 248.816210], [32.866847, 34.028440, 36.479734, 39.565956, 43.223223, 43.370096, 45.169784, 54.976052, 60.717995, 179.231636], [14.261343, 15.282853, 15.327649, 15.591320, 16.340743, 16.852135, 17.300519, 20.485633, 21.099648, 203.790024], [21.829319, 21.958313, 22.878378, 24.860282, 25.410713, 25.433165, 25.608048, 33.242921, 36.725385, 82.804019], [40.277809, 41.254559, 42.452553, 42.560548, 46.445545, 49.553179, 50.941505, 51.587585, 52.910245, 144.229479], [6.264657, 6.367371, 6.694853, 6.791270, 7.275023, 7.324868, 7.936814, 8.624832, 9.424999, 111.539260], [37.752346, 37.799036, 38.345350, 39.904255, 39.991205, 44.483426, 44.760939, 44.786570, 45.470014, 120.467309], [51.234100, 51.532487, 53.936700, 55.380424, 58.087144, 59.255653, 59.512678, 69.774232, 72.463305, 390.235190]]
### 2
fourier: [[24.406971, 25.404980, 25.842639, 33.074238, 33.589159, 33.833938, 40.647125, 40.996337, 51.329713, 172.231527], [6.663842, 6.671492, 6.936059, 7.823570, 8.027432, 8.563450, 9.285381, 9.758632, 10.261161, 20.094985], [29.570474, 33.363877, 34.797337, 35.598740, 36.317008, 38.232295, 44.209898, 45.384225, 46.212890, 79.051778], [27.933521, 29.839882, 32.812048, 33.409348, 38.878506, 41.774147, 45.154508, 46.110073, 47.399307, 154.531782], [8.269604, 8.366619, 8.928952, 10.051766, 10.280623, 10.695517, 11.560492, 11.936783, 12.087501, 96.528946], [7.749706, 7.875412, 8.081262, 9.406600, 9.688708, 10.033586, 10.504449, 10.551680, 12.033883, 120.175594], [29.958618, 34.883738, 36.227720, 36.551767, 37.661755, 38.762396, 44.713262, 45.371135, 47.500149, 80.050582], [24.037522, 27.824604, 29.120357, 29.980519, 31.718012, 31.818314, 36.146642, 36.543551, 38.472645, 101.213218]]
### 4
fourier: [[19.386704, 23.529244, 23.652768, 24.156186, 24.268962, 24.914293, 30.164537, 30.610819, 30.867669, 182.093388], [10.268588, 10.754322, 12.349703, 12.416029, 13.684433, 14.869261, 15.182444, 15.334472, 15.604918, 116.996516], [14.208791, 15.631893, 16.699248, 16.744042, 17.191611, 17.313518, 20.379895, 22.125239, 22.137388, 22.278702], [30.788738, 31.577055, 32.221974, 32.873317, 35.641021, 35.805205, 36.481979, 42.313441, 43.797704, 44.399350], [7.836551, 7.960104, 8.781666, 8.910883, 9.836578, 11.086167, 11.674987, 11.809136, 12.557378, 96.299173], [11.047796, 11.567976, 12.195775, 12.222768, 12.642640, 12.941311, 14.290250, 14.305016, 14.411978, 75.921775], [24.005018, 25.608203, 28.988673, 30.510714, 31.466129, 31.553633, 35.382849, 35.666557, 37.210205, 39.306277], [8.964326, 9.360505, 9.768077, 9.832985, 9.996253, 10.762165, 12.277258, 12.485402, 12.491674, 125.393534]]
### 6
fourier: [[18.746825, 19.902094, 21.064627, 21.143141, 21.197346, 22.938305, 23.659906, 24.656716, 24.678065, 141.677124], [15.727878, 16.350453, 17.532156, 17.552335, 18.186557, 20.788156, 22.831287, 23.431906, 23.843922, 44.558240], [7.263634, 7.369479, 8.673066, 8.910478, 8.991316, 9.314388, 9.880792, 10.325486, 10.679285, 41.273092], [47.742668, 52.322300, 56.228526, 57.088486, 57.791067, 68.052482, 69.076676, 69.875705, 73.233204, 256.330673], [12.666470, 14.985716, 14.994208, 15.350161, 15.373802, 15.562972, 17.891685, 18.972347, 19.073010, 72.930157], [11.931272, 12.697857, 12.918327, 13.060132, 13.100960, 14.318883, 14.526020, 14.867971, 15.418645, 125.677443], [14.669201, 16.544814, 17.090733, 17.113007, 17.158078, 18.130505, 21.561829, 21.641183, 21.873788, 99.331489], [14.031021, 14.034205, 16.707175, 16.753828, 17.315702, 18.611533, 18.740903, 20.509784, 21.271937, 89.357353]]
### 8
fourier: [[31.434744, 32.443819, 33.146243, 33.780253, 36.609954, 43.066160, 45.789277, 45.867505, 50.117988, 334.702796]]
## 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": 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": [[-0.74113, -1.290158, -0.206652, -0.001628, 0.493093], [0.306974, 0.826077, -0.076966, 0.665143, -0.794184], [-0.130729, 0.017457, -0.37717, -0.370827, -0.028664], [-0.078324, 1.037165, -0.179047, -0.285416, 0.307436], [-0.760377, -1.080242, -0.169785, 0.310785, 0.599356], [0.06515, -0.166413, -0.028284, -0.147394, 0.002083], [-0.552109, -1.106353, -0.178929, 0.451912, 0.356841], [-1.071847, -1.2948, -0.03201, -0.180252, 0.158847]], "network.0.bias": [0.335643, -0.181941, -0.515024, -0.265533, 0.261133, -0.644566, 0.329122, -0.385185], "network.2.weight": [[-0.516644, -0.927258, 0.083478, -0.154261, -0.234489, -0.057633, -0.094641, -0.302971], [0.474568, -0.023288, 0.15481, 0.377609, -0.182994, -0.065429, 0.237597, 0.52084], [0.49928, -0.763543, -0.160505, 0.039887, 0.728255, -0.044378, 0.373599, 0.314678], [-0.168295, 0.710361, 0.530969, 0.309952, -0.496044, 0.056669, -0.392968, 0.236351], [-0.331246, 0.052396, -0.536428, -0.491611, 0.091906, -0.021427, -0.273548, -0.617065], [-0.301847, -0.198091, -0.203745, -0.127796, -0.087141, -0.208418, -0.225722, -0.335494], [0.365658, -0.73518, 0.31253, -0.027687, 0.768717, -0.156934, 0.48548, 0.22441], [0.402497, -0.52157, -0.232571, -0.221144, 0.502296, -0.187008, 0.390167, 0.35545]], "network.2.bias": [0.640465, -0.266942, 0.3321, 0.086107, -0.489767, -0.548013, 0.292971, -0.076103], "network.4.weight": [[0.99785, -0.448912, -0.044174, 0.720554, 0.072843, 0.440154, -0.128592, -0.344835], [0.135486, -0.291992, -0.286798, -0.341837, -0.245282, -0.035292, -0.350157, 0.224187], [0.378622, 0.271418, -0.443741, 0.198658, 0.106853, -0.15259, -0.378247, 0.011418], [-0.030019, 0.397976, 0.825711, -0.222039, -0.075399, -0.283491, 0.566563, 0.586532], [0.032125, -0.089962, -0.027267, -0.281283, 0.28898, -0.034123, -0.249884, -0.12564], [-0.199463, 0.104377, -0.356432, -0.123334, -0.268091, -0.082579, -0.1239, -0.390637], [-0.036045, 0.505747, 0.295888, -0.561466, -0.375869, -0.027082, 0.588211, 0.359868], [-0.431785, 0.018124, -0.379653, -0.23777, -0.237689, 0.059093, -0.055333, -0.255061]], "network.4.bias": [0.82681, -0.289893, 0.083439, -0.221406, -0.319848, -0.251477, 0.081486, -0.583713], "network.6.weight": [[-0.231859, 0.098906, -0.169061, -0.69376, -0.347875, 0.120513, -0.005974, 0.016049], [-0.422369, -0.26387, 0.201697, 0.369916, 0.188027, -0.349437, 0.082516, 0.396028], [-0.052848, 0.111505, -0.031002, -0.13713, 0.056896, 0.033602, -0.21083, 0.088151], [1.240646, -0.127744, 0.547011, -0.527382, -0.115576, -0.047115, -0.883005, -0.109613], [-0.406336, -0.107207, -0.373913, 0.053755, -0.006431, 0.035664, 0.174437, 0.478638], [-0.195678, -0.192093, -0.065081, -0.400559, -0.049156, -0.327201, -0.056435, -0.085135], [-0.678499, 0.248632, -0.022452, 0.106978, -0.083136, -0.22772, 0.047653, 0.299514], [-0.039153, 0.038452, -0.05329, -0.439239, 0.272052, 0.204148, -0.133311, -0.50582]], "network.6.bias": [-0.423937, -0.053641, -0.090303, 0.907343, 0.0907, -0.585305, 0.231344, -0.441586], "network.8.weight": [[-0.153918, 0.180318, 0.073004, -0.998135, 0.045151, -0.176382, 0.006157, 0.128019]], "network.8.bias": [-0.298854]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7033510506153107, "train_acc": 0.555, "val_loss": 0.6751028299331665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6556684076786041, "train_acc": 0.58, "val_loss": 0.6755521893501282, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6416314244270325, "train_acc": 0.58, "val_loss": 0.6395887732505798, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5547821968793869, "train_acc": 0.66, "val_loss": 0.410572350025177, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4345632344484329, "train_acc": 0.85, "val_loss": 0.6135513186454773, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.42743055522441864, "train_acc": 0.795, "val_loss": 0.22024120390415192, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3117489516735077, "train_acc": 0.88, "val_loss": 0.2391575574874878, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3522898852825165, "train_acc": 0.86, "val_loss": 0.22675137221813202, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3133184015750885, "train_acc": 0.855, "val_loss": 0.2814643383026123, "val_acc": 0.92}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6751028299331665, "final_val_loss": 0.6395887732505798, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.410572350025177, "final_val_loss": 0.2814643383026123, "initial_val_acc": 0.8, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 8}, "improvement": 0.42000000000000004, "first_improvement_epoch": 2}}
|
347
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1082, "learning_rate": 0.014001660898155965, "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: 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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[
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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.531012, 16.584646, 17.046801, 18.105118, 18.162609, 20.660562, 20.992950, 21.720754, 23.746972, 186.052704], [19.933735, 20.022126, 20.277216, 20.341733, 20.633889, 23.182750, 23.981979, 24.487597, 24.538986, 31.328491], [17.338408, 18.238919, 19.300331, 20.965589, 22.090517, 26.518252, 28.116497, 30.445126, 35.829598, 167.494101], [25.062929, 25.299596, 25.628914, 26.141860, 27.057084, 28.181286, 39.781129, 40.755485, 42.079841, 198.830305], [10.023608, 10.359972, 10.837712, 11.046483, 11.529793, 11.813433, 12.179142, 13.455653, 16.321888, 38.952404]]
### 2
fourier: [[13.323558, 14.097169, 14.372289, 14.401402, 14.625422, 17.471502, 22.586979, 22.613204, 24.998781, 111.892548], [7.159871, 7.272833, 7.385472, 8.014662, 8.118056, 8.194352, 8.964184, 9.876595, 10.067684, 88.084219], [5.151054, 5.264154, 5.372446, 5.494711, 5.947250, 6.522269, 7.983049, 8.072917, 8.873872, 44.878537], [21.729440, 21.787794, 21.898650, 24.393896, 24.925596, 27.453943, 33.299898, 35.667778, 39.183222, 156.905419], [23.972975, 25.644548, 26.970733, 30.146624, 30.408150, 31.390538, 35.378345, 40.967150, 43.881247, 165.798106]]
### 4
fourier: [[17.417537, 17.547719, 17.978786, 21.460769, 22.997476, 25.007842, 26.015298, 30.934245, 33.124551, 108.349964], [2.907514, 3.034459, 3.036270, 4.164934, 4.219775, 4.462566, 5.267553, 5.523498, 5.986125, 13.754314], [2.658536, 2.887338, 2.919118, 4.088320, 4.106046, 4.176534, 4.473147, 5.354431, 5.511636, 14.032499], [0.739588, 0.782144, 0.852959, 0.885115, 0.897483, 1.070231, 1.141730, 1.171201, 1.591028, 41.997274], [15.263290, 15.608965, 16.213965, 18.583848, 19.862550, 21.533673, 23.026248, 27.001095, 28.983329, 101.650912]]
### 6
fourier: [[10.219650, 10.389721, 10.702520, 12.702416, 14.194349, 14.948193, 15.314941, 18.940105, 19.629308, 70.127055], [16.442875, 17.333918, 17.665541, 21.226021, 23.946014, 25.491980, 25.525304, 31.593696, 32.577299, 120.577183], [5.903397, 6.011990, 6.283269, 7.341049, 8.201462, 8.624724, 8.900431, 11.010211, 11.387129, 29.890397], [20.787842, 21.650391, 22.227418, 26.466594, 29.706409, 31.575446, 31.928976, 39.418558, 40.745511, 107.063113], [11.479034, 12.206959, 12.377933, 14.936591, 16.809821, 17.954282, 18.045767, 22.103250, 22.829203, 47.242539]]
### 8
fourier: [[25.476004, 27.526055, 27.746845, 33.493546, 38.508857, 39.049658, 39.730071, 50.941053, 51.228871, 128.593494]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.125399
],
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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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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.531012, 16.584646, 17.046801, 18.105118, 18.162609, 20.660562, 20.992950, 21.720754, 23.746972, 186.052704], [19.933735, 20.022126, 20.277216, 20.341733, 20.633889, 23.182750, 23.981979, 24.487597, 24.538986, 31.328491], [17.338408, 18.238919, 19.300331, 20.965589, 22.090517, 26.518252, 28.116497, 30.445126, 35.829598, 167.494101], [25.062929, 25.299596, 25.628914, 26.141860, 27.057084, 28.181286, 39.781129, 40.755485, 42.079841, 198.830305], [10.023608, 10.359972, 10.837712, 11.046483, 11.529793, 11.813433, 12.179142, 13.455653, 16.321888, 38.952404]]
### 2
fourier: [[13.323558, 14.097169, 14.372289, 14.401402, 14.625422, 17.471502, 22.586979, 22.613204, 24.998781, 111.892548], [7.159871, 7.272833, 7.385472, 8.014662, 8.118056, 8.194352, 8.964184, 9.876595, 10.067684, 88.084219], [5.151054, 5.264154, 5.372446, 5.494711, 5.947250, 6.522269, 7.983049, 8.072917, 8.873872, 44.878537], [21.729440, 21.787794, 21.898650, 24.393896, 24.925596, 27.453943, 33.299898, 35.667778, 39.183222, 156.905419], [23.972975, 25.644548, 26.970733, 30.146624, 30.408150, 31.390538, 35.378345, 40.967150, 43.881247, 165.798106]]
### 4
fourier: [[17.417537, 17.547719, 17.978786, 21.460769, 22.997476, 25.007842, 26.015298, 30.934245, 33.124551, 108.349964], [2.907514, 3.034459, 3.036270, 4.164934, 4.219775, 4.462566, 5.267553, 5.523498, 5.986125, 13.754314], [2.658536, 2.887338, 2.919118, 4.088320, 4.106046, 4.176534, 4.473147, 5.354431, 5.511636, 14.032499], [0.739588, 0.782144, 0.852959, 0.885115, 0.897483, 1.070231, 1.141730, 1.171201, 1.591028, 41.997274], [15.263290, 15.608965, 16.213965, 18.583848, 19.862550, 21.533673, 23.026248, 27.001095, 28.983329, 101.650912]]
### 6
fourier: [[10.219650, 10.389721, 10.702520, 12.702416, 14.194349, 14.948193, 15.314941, 18.940105, 19.629308, 70.127055], [16.442875, 17.333918, 17.665541, 21.226021, 23.946014, 25.491980, 25.525304, 31.593696, 32.577299, 120.577183], [5.903397, 6.011990, 6.283269, 7.341049, 8.201462, 8.624724, 8.900431, 11.010211, 11.387129, 29.890397], [20.787842, 21.650391, 22.227418, 26.466594, 29.706409, 31.575446, 31.928976, 39.418558, 40.745511, 107.063113], [11.479034, 12.206959, 12.377933, 14.936591, 16.809821, 17.954282, 18.045767, 22.103250, 22.829203, 47.242539]]
### 8
fourier: [[25.476004, 27.526055, 27.746845, 33.493546, 38.508857, 39.049658, 39.730071, 50.941053, 51.228871, 128.593494]]
## 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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27.45394323259549, 33.29989817650199, 35.66777819251268, 39.18322225678681, 156.90541913546622]}, "4": {"fourier": [23.972974686539334, 25.644548390262944, 26.97073349368619, 30.14662447835349, 30.408149562941592, 31.39053811651843, 35.378344618589615, 40.96714974767641, 43.88124653881946, 165.79810587782413]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [17.417536843030124, 17.547718660372198, 17.978786035207285, 21.460769444519514, 22.997476449143775, 25.007842404010553, 26.015297948967323, 30.93424509342832, 33.124550539559316, 108.34996395558119]}, "1": {"fourier": [2.907513526886049, 3.03445923262787, 3.0362704942906893, 4.164934059606198, 4.219775187370879, 4.462566156761992, 5.267553046669304, 5.523497992119964, 5.986124630973652, 13.754314385354519]}, "2": {"fourier": [2.658535626382116, 2.8873376388772956, 2.9191183968661507, 4.088319665665842, 4.106045528711453, 4.176533938162312, 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51.22887116692124, 128.5934938788414]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.20769, -0.452606, -0.426876, -0.126132, 0.125399], [-0.590295, -0.225617, -0.0567, 0.265525, 0.317311], [0.573321, -0.076435, -0.055814, 0.170654, 0.480979], [0.376809, -0.219402, 0.143631, 0.470977, 0.756205], [-0.201704, 0.148332, 0.286519, 0.051568, -0.272432]], "network.0.bias": [-0.493442, 0.080933, 0.444285, -0.10256, 0.040428], "network.2.weight": [[0.280268, -0.015143, -0.291245, -0.342591, -0.002325], [-0.319082, 0.186848, 0.118593, -0.346247, -0.554884], [-0.0666, 0.276838, 0.050089, -0.264986, 0.129129], [0.076898, -0.157946, -0.4534, -0.473535, 0.272528], [-0.120197, 0.530711, 0.514402, 0.448788, -0.488449]], "network.2.bias": [0.04465, -0.27088, -0.17211, 0.028385, -0.020176], "network.4.weight": [[0.713169, -0.392579, -0.124354, 0.288527, 0.734534], [-0.590546, -0.632336, -0.512858, -0.473778, -0.122555], [-0.716314, -0.008596, -0.350092, 0.074844, -0.119483], [0.094603, 0.479247, 0.097909, -0.083469, -0.031853], [0.061597, 0.207375, -0.160497, 0.223055, 0.651021]], "network.4.bias": [-0.133146, -0.135165, -0.034156, -0.333508, -0.041626], "network.6.weight": [[0.457469, 0.34154, -0.293375, -0.110312, 0.164478], [0.715881, -0.542095, 0.109807, 0.377113, 0.305524], [-0.187313, -0.112046, -0.05671, -0.218798, -0.192972], [0.634749, -0.333471, -0.029448, 0.077351, 0.681488], [0.231411, -0.593121, -0.105637, -0.079107, 0.499249]], "network.6.bias": [0.050661, 0.211893, 0.05567, -0.290795, -0.323921], "network.8.weight": [[-0.425528, -0.513908, 0.109006, -0.333572, -0.601444]], "network.8.bias": [0.273285]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6960313320159912, "train_acc": 0.44, "val_loss": 0.6905978322029114, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6913517415523529, "train_acc": 0.57, "val_loss": 0.6828997731208801, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6825962066650391, "train_acc": 0.57, "val_loss": 0.6702600121498108, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6733120381832123, "train_acc": 0.57, "val_loss": 0.6494917869567871, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6803041696548462, "train_acc": 0.485, "val_loss": 0.6261172294616699, "val_acc": 0.56}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.6605048477649689, "train_acc": 0.485, "val_loss": 0.5931825041770935, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.6244224905967712, "train_acc": 0.485, "val_loss": 0.5510573387145996, "val_acc": 0.68}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5791694521903992, "train_acc": 0.575, "val_loss": 0.503023624420166, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5379365086555481, "train_acc": 0.725, "val_loss": 0.4574930667877197, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5025339424610138, "train_acc": 0.81, "val_loss": 0.4216420650482178, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4654025286436081, "train_acc": 0.81, "val_loss": 0.39412298798561096, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.42294761538505554, "train_acc": 0.82, "val_loss": 0.37270164489746094, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4094952493906021, "train_acc": 0.865, "val_loss": 0.3556494414806366, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3926808536052704, "train_acc": 0.875, "val_loss": 0.34170234203338623, "val_acc": 0.9}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6905978322029114, "final_val_loss": 0.6494917869567871, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.6261172294616699, "final_val_loss": 0.34170234203338623, "initial_val_acc": 0.56, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 12}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
348
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8463, "learning_rate": 0.051929282780634044, "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: 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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[
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[
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[
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"network.6.weight": [
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"network.8.weight": [
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]
}
## Activation Signature
### 0
fourier: [[37.130554, 38.709775, 40.022472, 41.206865, 43.466871, 45.649849, 46.866654, 48.168350, 54.455690, 245.057677], [38.075690, 38.149628, 38.846891, 39.672500, 43.247909, 46.946079, 49.970658, 50.168618, 52.534890, 291.455996], [11.116906, 11.432202, 11.473281, 11.511362, 11.544637, 11.562682, 12.455607, 14.878240, 16.080091, 22.127097], [33.639676, 34.055565, 35.048531, 35.573071, 36.023919, 38.264433, 38.313175, 44.155113, 45.267481, 215.362598], [33.479048, 34.199736, 34.615836, 37.746359, 37.774801, 38.064492, 40.310165, 41.426812, 41.825061, 254.040595], [29.060752, 29.409905, 31.736446, 33.177737, 33.766488, 33.961901, 34.462450, 36.374139, 39.171313, 39.768955], [42.422461, 43.493259, 46.279461, 49.007067, 49.757230, 54.229917, 56.897473, 61.725001, 66.330193, 285.865113]]
### 2
fourier: [[50.661998, 52.791127, 53.560950, 55.616665, 56.470102, 58.682223, 63.121944, 68.413764, 71.050002, 420.653326], [28.123648, 28.565737, 29.317506, 31.023161, 35.759215, 38.333882, 43.437064, 45.287681, 51.488501, 221.290621], [61.184749, 61.202493, 65.120512, 67.463400, 67.639521, 71.273815, 75.497332, 81.104905, 82.626433, 463.436487], [58.236488, 61.630142, 62.454674, 65.173537, 65.317029, 66.985543, 74.767136, 76.550342, 78.769222, 464.499357], [34.718825, 36.902802, 38.646209, 40.140395, 40.810940, 43.093566, 44.760355, 46.095061, 51.798505, 226.684090], [26.299998, 27.319501, 30.444740, 30.572521, 30.865429, 31.113486, 35.152147, 35.899737, 38.244061, 169.056861], [108.097093, 110.414320, 114.716423, 116.282105, 127.397810, 128.552586, 137.966568, 145.231448, 148.093922, 780.746121]]
### 4
fourier: [[67.212345, 67.421727, 70.602475, 70.672421, 77.170206, 79.513879, 85.916397, 89.003320, 91.681850, 465.027584], [36.279487, 36.284285, 37.439958, 38.396345, 44.130106, 45.027206, 46.319246, 46.373171, 50.659306, 236.863226], [51.310907, 51.614209, 52.500794, 52.597506, 60.561076, 61.178120, 66.054528, 66.893585, 70.791896, 342.970719], [108.521765, 109.252103, 114.146902, 116.247991, 123.135013, 128.474634, 137.958474, 145.292002, 147.994195, 780.533157], [120.378918, 120.973816, 125.342893, 125.404307, 139.201893, 142.904545, 151.559231, 158.216927, 163.836654, 817.524755], [63.661040, 64.060166, 64.664787, 65.560642, 75.234699, 76.212284, 81.418168, 82.167711, 87.677387, 459.263208], [82.860150, 83.368371, 86.488787, 86.805771, 94.891754, 98.307870, 107.145724, 109.147784, 113.713913, 564.021179]]
### 6
fourier: [[51.415447, 51.600546, 52.234799, 52.329834, 60.164058, 61.056077, 66.782517, 68.092937, 71.067554, 329.697560], [8.824375, 8.910270, 9.305689, 9.353621, 10.395910, 10.546714, 11.250377, 11.447137, 12.198607, 16.374851], [3.043205, 3.062119, 3.123768, 3.217398, 3.463906, 3.531719, 3.640708, 3.919654, 4.605934, 26.793128], [81.089101, 82.182967, 82.534241, 83.056223, 95.123119, 96.996431, 105.807584, 107.853725, 111.412442, 523.912643], [50.011088, 50.061081, 50.655736, 50.662607, 58.173877, 58.804223, 64.292566, 65.896746, 67.637035, 319.161373], [78.513693, 78.782148, 80.684002, 80.945700, 93.281424, 93.606347, 102.273514, 104.253328, 110.336905, 495.332937], [68.715558, 68.919901, 69.801261, 69.959065, 80.770220, 81.323787, 89.016841, 91.091900, 94.734689, 459.154009]]
### 8
fourier: [[134.162713, 134.193780, 134.829298, 137.849318, 157.017683, 158.353333, 172.694214, 177.099810, 183.714451, 833.801986]]
## 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: 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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[
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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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: [[37.130554, 38.709775, 40.022472, 41.206865, 43.466871, 45.649849, 46.866654, 48.168350, 54.455690, 245.057677], [38.075690, 38.149628, 38.846891, 39.672500, 43.247909, 46.946079, 49.970658, 50.168618, 52.534890, 291.455996], [11.116906, 11.432202, 11.473281, 11.511362, 11.544637, 11.562682, 12.455607, 14.878240, 16.080091, 22.127097], [33.639676, 34.055565, 35.048531, 35.573071, 36.023919, 38.264433, 38.313175, 44.155113, 45.267481, 215.362598], [33.479048, 34.199736, 34.615836, 37.746359, 37.774801, 38.064492, 40.310165, 41.426812, 41.825061, 254.040595], [29.060752, 29.409905, 31.736446, 33.177737, 33.766488, 33.961901, 34.462450, 36.374139, 39.171313, 39.768955], [42.422461, 43.493259, 46.279461, 49.007067, 49.757230, 54.229917, 56.897473, 61.725001, 66.330193, 285.865113]]
### 2
fourier: [[50.661998, 52.791127, 53.560950, 55.616665, 56.470102, 58.682223, 63.121944, 68.413764, 71.050002, 420.653326], [28.123648, 28.565737, 29.317506, 31.023161, 35.759215, 38.333882, 43.437064, 45.287681, 51.488501, 221.290621], [61.184749, 61.202493, 65.120512, 67.463400, 67.639521, 71.273815, 75.497332, 81.104905, 82.626433, 463.436487], [58.236488, 61.630142, 62.454674, 65.173537, 65.317029, 66.985543, 74.767136, 76.550342, 78.769222, 464.499357], [34.718825, 36.902802, 38.646209, 40.140395, 40.810940, 43.093566, 44.760355, 46.095061, 51.798505, 226.684090], [26.299998, 27.319501, 30.444740, 30.572521, 30.865429, 31.113486, 35.152147, 35.899737, 38.244061, 169.056861], [108.097093, 110.414320, 114.716423, 116.282105, 127.397810, 128.552586, 137.966568, 145.231448, 148.093922, 780.746121]]
### 4
fourier: [[67.212345, 67.421727, 70.602475, 70.672421, 77.170206, 79.513879, 85.916397, 89.003320, 91.681850, 465.027584], [36.279487, 36.284285, 37.439958, 38.396345, 44.130106, 45.027206, 46.319246, 46.373171, 50.659306, 236.863226], [51.310907, 51.614209, 52.500794, 52.597506, 60.561076, 61.178120, 66.054528, 66.893585, 70.791896, 342.970719], [108.521765, 109.252103, 114.146902, 116.247991, 123.135013, 128.474634, 137.958474, 145.292002, 147.994195, 780.533157], [120.378918, 120.973816, 125.342893, 125.404307, 139.201893, 142.904545, 151.559231, 158.216927, 163.836654, 817.524755], [63.661040, 64.060166, 64.664787, 65.560642, 75.234699, 76.212284, 81.418168, 82.167711, 87.677387, 459.263208], [82.860150, 83.368371, 86.488787, 86.805771, 94.891754, 98.307870, 107.145724, 109.147784, 113.713913, 564.021179]]
### 6
fourier: [[51.415447, 51.600546, 52.234799, 52.329834, 60.164058, 61.056077, 66.782517, 68.092937, 71.067554, 329.697560], [8.824375, 8.910270, 9.305689, 9.353621, 10.395910, 10.546714, 11.250377, 11.447137, 12.198607, 16.374851], [3.043205, 3.062119, 3.123768, 3.217398, 3.463906, 3.531719, 3.640708, 3.919654, 4.605934, 26.793128], [81.089101, 82.182967, 82.534241, 83.056223, 95.123119, 96.996431, 105.807584, 107.853725, 111.412442, 523.912643], [50.011088, 50.061081, 50.655736, 50.662607, 58.173877, 58.804223, 64.292566, 65.896746, 67.637035, 319.161373], [78.513693, 78.782148, 80.684002, 80.945700, 93.281424, 93.606347, 102.273514, 104.253328, 110.336905, 495.332937], [68.715558, 68.919901, 69.801261, 69.959065, 80.770220, 81.323787, 89.016841, 91.091900, 94.734689, 459.154009]]
### 8
fourier: [[134.162713, 134.193780, 134.829298, 137.849318, 157.017683, 158.353333, 172.694214, 177.099810, 183.714451, 833.801986]]
## 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": [37.13055449013928, 38.70977488459087, 40.02247192625745, 41.20686491010886, 43.46687075287137, 45.649849496705464, 46.866654488199146, 48.16835017155821, 54.45568991494773, 245.0576772093773]}, "1": {"fourier": [38.075690401619056, 38.1496279983682, 38.846891444419576, 39.67250020933519, 43.24790891014285, 46.94607893490661, 49.97065842915601, 50.16861767010978, 52.5348902385496, 291.4559957906604]}, "2": {"fourier": [11.11690572499001, 11.432202366535034, 11.473280745883347, 11.511361529008937, 11.54463669432334, 11.562681809189492, 12.455607307573823, 14.878239516140809, 16.080091289627205, 22.127096718051142]}, "3": {"fourier": [33.63967644063315, 34.05556530945322, 35.04853070470043, 35.57307074345231, 36.02391923749927, 38.26443272720514, 38.31317517522566, 44.15511308845815, 45.26748092695686, 215.36259847693145]}, "4": {"fourier": [33.47904787304503, 34.19973635511267, 34.61583562655292, 37.746359192162075, 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"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": [[0.734839, 0.598691, 0.637594, -0.304165, -0.31963], [0.509735, 1.113554, 0.384309, -0.130075, 0.102679], [-0.253711, -0.131215, 0.299291, -0.230909, 0.199195], [0.886195, 0.65623, -0.148785, 0.207736, -0.047695], [0.52474, 0.890419, 0.297516, -0.214658, 0.034041], [-0.803123, -0.64335, 0.240912, 0.276549, 0.429391], [1.122752, 0.864908, -0.131793, 0.481043, -0.474016]], "network.0.bias": [0.43206, -0.075556, 0.142917, 0.018439, 0.343982, 0.177262, 0.031374], "network.2.weight": [[-0.099565, -0.487024, -0.570476, -0.416357, -0.172568, -0.012664, -0.269475], [0.45388, -0.427131, 0.177697, -0.186675, 0.045722, -0.112096, -0.554611], [0.303144, 0.54834, -0.192372, 0.505397, 0.277998, 0.143265, 0.137272], [-0.28893, -0.179464, -0.752943, -0.502084, -0.468505, -0.069105, -0.284724], [0.001308, 0.036782, -0.445298, -0.198901, -0.255794, 0.302145, -0.512878], [-0.274892, -0.069426, -0.86843, 0.305165, -0.117686, 0.441536, -0.45699], [0.566779, 0.512037, -0.107621, 0.480349, 0.67937, -0.168751, 0.802288]], "network.2.bias": [-0.371958, -0.233368, 0.116941, -0.180323, 0.111523, 0.130667, 0.008457], "network.4.weight": [[-0.186812, -0.413839, -0.259519, -0.234915, 0.403915, -0.055163, -0.465855], [0.892102, -0.086054, -0.488793, 0.848367, 0.027294, -0.597339, 0.594461], [0.903381, 0.246008, -0.227285, 0.691905, -0.037972, -0.295773, 0.586416], [-0.986866, -0.464973, -0.955794, -0.522708, 0.37791, 0.034097, -0.451857], [-0.62478, -0.456668, -0.748544, -0.424922, 0.263192, 0.714421, -0.668194], [0.43535, 0.51289, -0.024413, 0.559548, -0.194008, -0.524996, 0.584477], [-0.743092, -0.903366, -0.333494, -0.550583, 0.197161, 0.091755, -0.561651]], "network.4.bias": [0.184958, 0.066698, -0.034871, 0.076821, 0.472374, 0.220932, 0.246781], "network.6.weight": [[-0.485158, 0.169015, 0.410675, -0.335465, -0.216188, 0.37655, -0.454484], [0.010055, 0.111293, 0.092844, 0.18254, -0.207496, 0.001369, 0.348047], [0.005965, 0.122461, -0.067089, 0.150616, -0.381905, 0.016595, -0.214984], [-0.249197, 0.283981, 0.643656, -0.356839, -0.164133, 0.601492, -0.192493], [0.19389, 0.624011, 0.185888, -0.486503, -0.168093, 0.278288, 0.163776], [0.095539, -0.379348, -0.736544, 0.277617, 0.883514, -0.420297, 0.627311], [0.251936, 0.72248, 0.334319, -0.559836, -0.439681, 0.395974, -0.345128]], "network.6.bias": [-0.255007, -0.833395, -0.423597, -0.446167, -0.229496, 0.393788, -0.075312], "network.8.weight": [[-0.24281, -0.378615, -0.446857, -0.581649, -0.406327, 0.679581, -0.747555]], "network.8.bias": [0.232656]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.687947005033493, "train_acc": 0.55, "val_loss": 0.6696326732635498, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6387345492839813, "train_acc": 0.55, "val_loss": 0.52567458152771, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5046061277389526, "train_acc": 0.67, "val_loss": 0.30260705947875977, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3259311467409134, "train_acc": 0.89, "val_loss": 0.2152586132287979, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3171376734972, "train_acc": 0.875, "val_loss": 0.21010370552539825, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.24529054760932922, "train_acc": 0.895, "val_loss": 0.35311955213546753, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.276101216673851, "train_acc": 0.905, "val_loss": 0.19342559576034546, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2564940005540848, "train_acc": 0.9, "val_loss": 0.19721023738384247, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.27329615503549576, "train_acc": 0.885, "val_loss": 0.1695123314857483, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.23036949336528778, "train_acc": 0.89, "val_loss": 0.1843690276145935, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.23716717213392258, "train_acc": 0.92, "val_loss": 0.19676294922828674, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.17957742512226105, "train_acc": 0.925, "val_loss": 0.15077419579029083, "val_acc": 0.9}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6696326732635498, "final_val_loss": 0.52567458152771, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.30260705947875977, "final_val_loss": 0.15077419579029083, "initial_val_acc": 0.92, "final_val_acc": 0.9, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.3999999999999999, "first_improvement_epoch": 1}}
|
349
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2891, "learning_rate": 0.026022827258644743, "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: 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": [
0.588409
]
}
## Activation Signature
### 0
fourier: [[15.840703, 16.429801, 17.155228, 17.219705, 18.873290, 20.525877, 20.836279, 24.163436, 26.474235, 28.698823], [18.675638, 19.552506, 20.189612, 21.163776, 21.466611, 21.615246, 23.727316, 24.617792, 26.169109, 48.793134], [16.491871, 17.650830, 19.148427, 19.286684, 19.837628, 21.032524, 26.224530, 27.516319, 30.562969, 32.057350], [32.814078, 33.457340, 36.619955, 36.896513, 38.432883, 39.338035, 43.146820, 45.398703, 50.211383, 292.911523], [20.125266, 20.926419, 22.002276, 22.240638, 23.296806, 25.258923, 26.134717, 28.744813, 30.456065, 253.982734], [38.108482, 39.775676, 41.131277, 41.368245, 43.737402, 44.463946, 52.532316, 54.482773, 55.529365, 296.434262], [20.451095, 21.021244, 23.417463, 23.513301, 25.218444, 25.986790, 27.467571, 29.339248, 30.899753, 254.834955], [16.021791, 18.374007, 18.637886, 18.750156, 19.939240, 21.606498, 22.180163, 22.192996, 25.524808, 153.147353]]
### 2
fourier: [[22.036645, 23.206492, 23.276656, 25.073546, 25.150747, 26.838899, 30.499385, 31.779155, 32.900768, 169.376799], [10.923831, 11.222854, 11.382342, 12.067490, 13.072824, 13.356541, 14.095365, 14.490714, 15.025396, 96.104916], [11.996793, 12.134619, 13.423256, 13.555202, 15.308283, 16.211930, 17.639063, 19.248330, 20.208157, 91.487796], [15.904393, 16.280159, 17.268140, 17.375486, 18.851117, 21.826259, 22.369363, 22.847299, 24.887212, 107.224837], [12.750438, 12.783857, 12.883078, 13.391463, 16.257214, 16.341051, 17.512724, 18.560720, 19.484342, 77.139811], [4.063863, 4.075293, 4.240916, 4.500331, 4.749740, 4.915841, 5.050221, 6.055269, 7.195008, 92.388679], [25.453811, 27.644211, 28.624850, 29.611168, 31.202708, 31.982253, 32.411875, 34.101056, 36.366940, 164.646649], [11.412071, 11.417027, 12.875469, 13.016933, 13.098128, 14.100802, 16.102291, 18.038967, 18.067114, 107.391934]]
### 4
fourier: [[7.085420, 7.513067, 7.806390, 7.911111, 8.167007, 8.246153, 8.953030, 9.042805, 9.932174, 67.585070], [28.872043, 29.091691, 30.495792, 33.072234, 34.958843, 38.981327, 41.506159, 43.206537, 44.118994, 186.563893], [13.499452, 15.408046, 15.573852, 16.485116, 17.508024, 17.899378, 18.252861, 18.586323, 20.056762, 117.916833], [5.698464, 5.945515, 6.459788, 6.469460, 6.710120, 6.895863, 7.330253, 8.727369, 9.384392, 61.022616], [6.162108, 6.337647, 6.812609, 6.862623, 7.701512, 8.439543, 8.687904, 9.680899, 10.730517, 14.786924], [7.993086, 8.166685, 8.306647, 9.823932, 10.165351, 11.512229, 11.604190, 12.855007, 13.193675, 97.791244], [15.403438, 16.475283, 16.669905, 18.127925, 18.290436, 19.812678, 20.671150, 21.089471, 22.405055, 116.361551], [35.417835, 39.427508, 41.640723, 43.603607, 47.803616, 48.900935, 50.698622, 50.841826, 53.067009, 221.797971]]
### 6
fourier: [[27.535667, 27.847067, 29.909893, 32.912600, 33.292716, 34.932669, 35.729578, 36.935850, 38.601481, 167.030955], [21.659800, 21.850904, 24.485668, 25.930700, 27.718068, 28.503008, 28.578878, 29.108827, 29.597656, 149.575408], [4.390593, 4.424194, 4.631378, 5.101852, 5.260687, 5.326174, 5.534971, 5.732007, 6.420704, 27.358265], [8.642361, 8.686545, 9.333737, 10.371497, 10.376569, 10.759173, 11.058209, 11.453598, 12.367221, 61.277115], [30.587455, 31.607007, 33.316328, 36.505203, 37.004222, 39.579327, 40.430273, 41.684029, 42.345648, 192.717747], [28.465964, 28.773481, 31.354691, 34.113953, 35.067399, 36.597718, 37.219854, 38.492715, 39.510871, 151.963832], [11.765025, 12.079355, 12.632110, 13.975424, 14.013765, 14.938223, 15.348144, 15.831691, 16.510286, 88.933712], [5.809799, 5.902073, 6.027784, 6.592279, 6.878047, 6.993031, 7.224266, 7.487271, 8.740747, 11.813414]]
### 8
fourier: [[42.368496, 44.149221, 45.734531, 50.740815, 51.150831, 53.544707, 54.456568, 54.608840, 57.488877, 200.204176], [30.568499, 31.373554, 33.053030, 36.476966, 36.867176, 38.255657, 38.906439, 39.095814, 41.362154, 148.647322], [2.193168, 2.281705, 2.502025, 2.620557, 2.718037, 2.876538, 2.895573, 3.001053, 3.129044, 26.655993], [7.939425, 7.985568, 8.548767, 9.483620, 9.532674, 9.793240, 10.074850, 10.166315, 11.106940, 63.132306], [9.958601, 10.372752, 10.736192, 12.031749, 12.046981, 12.350041, 12.398075, 12.601547, 13.651084, 71.390383], [4.787337, 4.928624, 5.403693, 5.695384, 5.787540, 5.875580, 5.946665, 6.046898, 6.179025, 56.820517], [37.836315, 39.338906, 40.839451, 45.352929, 45.688841, 47.610295, 48.388763, 48.457066, 51.330685, 170.730412], [12.726548, 13.346618, 14.545980, 15.295243, 16.016478, 16.137914, 16.206324, 17.305681, 17.321885, 103.035581]]
### 10
fourier: [[47.314331, 47.481796, 51.879464, 54.787007, 54.895278, 56.005909, 56.024058, 56.266776, 62.087174, 197.469407]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[15.840703, 16.429801, 17.155228, 17.219705, 18.873290, 20.525877, 20.836279, 24.163436, 26.474235, 28.698823], [18.675638, 19.552506, 20.189612, 21.163776, 21.466611, 21.615246, 23.727316, 24.617792, 26.169109, 48.793134], [16.491871, 17.650830, 19.148427, 19.286684, 19.837628, 21.032524, 26.224530, 27.516319, 30.562969, 32.057350], [32.814078, 33.457340, 36.619955, 36.896513, 38.432883, 39.338035, 43.146820, 45.398703, 50.211383, 292.911523], [20.125266, 20.926419, 22.002276, 22.240638, 23.296806, 25.258923, 26.134717, 28.744813, 30.456065, 253.982734], [38.108482, 39.775676, 41.131277, 41.368245, 43.737402, 44.463946, 52.532316, 54.482773, 55.529365, 296.434262], [20.451095, 21.021244, 23.417463, 23.513301, 25.218444, 25.986790, 27.467571, 29.339248, 30.899753, 254.834955], [16.021791, 18.374007, 18.637886, 18.750156, 19.939240, 21.606498, 22.180163, 22.192996, 25.524808, 153.147353]]
### 2
fourier: [[22.036645, 23.206492, 23.276656, 25.073546, 25.150747, 26.838899, 30.499385, 31.779155, 32.900768, 169.376799], [10.923831, 11.222854, 11.382342, 12.067490, 13.072824, 13.356541, 14.095365, 14.490714, 15.025396, 96.104916], [11.996793, 12.134619, 13.423256, 13.555202, 15.308283, 16.211930, 17.639063, 19.248330, 20.208157, 91.487796], [15.904393, 16.280159, 17.268140, 17.375486, 18.851117, 21.826259, 22.369363, 22.847299, 24.887212, 107.224837], [12.750438, 12.783857, 12.883078, 13.391463, 16.257214, 16.341051, 17.512724, 18.560720, 19.484342, 77.139811], [4.063863, 4.075293, 4.240916, 4.500331, 4.749740, 4.915841, 5.050221, 6.055269, 7.195008, 92.388679], [25.453811, 27.644211, 28.624850, 29.611168, 31.202708, 31.982253, 32.411875, 34.101056, 36.366940, 164.646649], [11.412071, 11.417027, 12.875469, 13.016933, 13.098128, 14.100802, 16.102291, 18.038967, 18.067114, 107.391934]]
### 4
fourier: [[7.085420, 7.513067, 7.806390, 7.911111, 8.167007, 8.246153, 8.953030, 9.042805, 9.932174, 67.585070], [28.872043, 29.091691, 30.495792, 33.072234, 34.958843, 38.981327, 41.506159, 43.206537, 44.118994, 186.563893], [13.499452, 15.408046, 15.573852, 16.485116, 17.508024, 17.899378, 18.252861, 18.586323, 20.056762, 117.916833], [5.698464, 5.945515, 6.459788, 6.469460, 6.710120, 6.895863, 7.330253, 8.727369, 9.384392, 61.022616], [6.162108, 6.337647, 6.812609, 6.862623, 7.701512, 8.439543, 8.687904, 9.680899, 10.730517, 14.786924], [7.993086, 8.166685, 8.306647, 9.823932, 10.165351, 11.512229, 11.604190, 12.855007, 13.193675, 97.791244], [15.403438, 16.475283, 16.669905, 18.127925, 18.290436, 19.812678, 20.671150, 21.089471, 22.405055, 116.361551], [35.417835, 39.427508, 41.640723, 43.603607, 47.803616, 48.900935, 50.698622, 50.841826, 53.067009, 221.797971]]
### 6
fourier: [[27.535667, 27.847067, 29.909893, 32.912600, 33.292716, 34.932669, 35.729578, 36.935850, 38.601481, 167.030955], [21.659800, 21.850904, 24.485668, 25.930700, 27.718068, 28.503008, 28.578878, 29.108827, 29.597656, 149.575408], [4.390593, 4.424194, 4.631378, 5.101852, 5.260687, 5.326174, 5.534971, 5.732007, 6.420704, 27.358265], [8.642361, 8.686545, 9.333737, 10.371497, 10.376569, 10.759173, 11.058209, 11.453598, 12.367221, 61.277115], [30.587455, 31.607007, 33.316328, 36.505203, 37.004222, 39.579327, 40.430273, 41.684029, 42.345648, 192.717747], [28.465964, 28.773481, 31.354691, 34.113953, 35.067399, 36.597718, 37.219854, 38.492715, 39.510871, 151.963832], [11.765025, 12.079355, 12.632110, 13.975424, 14.013765, 14.938223, 15.348144, 15.831691, 16.510286, 88.933712], [5.809799, 5.902073, 6.027784, 6.592279, 6.878047, 6.993031, 7.224266, 7.487271, 8.740747, 11.813414]]
### 8
fourier: [[42.368496, 44.149221, 45.734531, 50.740815, 51.150831, 53.544707, 54.456568, 54.608840, 57.488877, 200.204176], [30.568499, 31.373554, 33.053030, 36.476966, 36.867176, 38.255657, 38.906439, 39.095814, 41.362154, 148.647322], [2.193168, 2.281705, 2.502025, 2.620557, 2.718037, 2.876538, 2.895573, 3.001053, 3.129044, 26.655993], [7.939425, 7.985568, 8.548767, 9.483620, 9.532674, 9.793240, 10.074850, 10.166315, 11.106940, 63.132306], [9.958601, 10.372752, 10.736192, 12.031749, 12.046981, 12.350041, 12.398075, 12.601547, 13.651084, 71.390383], [4.787337, 4.928624, 5.403693, 5.695384, 5.787540, 5.875580, 5.946665, 6.046898, 6.179025, 56.820517], [37.836315, 39.338906, 40.839451, 45.352929, 45.688841, 47.610295, 48.388763, 48.457066, 51.330685, 170.730412], [12.726548, 13.346618, 14.545980, 15.295243, 16.016478, 16.137914, 16.206324, 17.305681, 17.321885, 103.035581]]
### 10
fourier: [[47.314331, 47.481796, 51.879464, 54.787007, 54.895278, 56.005909, 56.024058, 56.266776, 62.087174, 197.469407]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6946606338024139, "train_acc": 0.485, "val_loss": 0.6768714785575867, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6650343835353851, "train_acc": 0.565, "val_loss": 0.6486743688583374, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6262357532978058, "train_acc": 0.565, "val_loss": 0.6147592067718506, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6308648586273193, "train_acc": 0.495, "val_loss": 0.5736045241355896, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.57407146692276, "train_acc": 0.705, "val_loss": 0.49241477251052856, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5325542539358139, "train_acc": 0.75, "val_loss": 0.45854946970939636, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4809878170490265, "train_acc": 0.795, "val_loss": 0.41365036368370056, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4519045650959015, "train_acc": 0.835, "val_loss": 0.3917531669139862, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4065852016210556, "train_acc": 0.87, "val_loss": 0.3773212432861328, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3741660863161087, "train_acc": 0.875, "val_loss": 0.37621772289276123, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3576340079307556, "train_acc": 0.905, "val_loss": 0.3294529616832733, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3369453251361847, "train_acc": 0.92, "val_loss": 0.31207725405693054, "val_acc": 0.92}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3104843348264694, "train_acc": 0.92, "val_loss": 0.2881787419319153, "val_acc": 0.92}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6768714785575867, "final_val_loss": 0.6147592067718506, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5736045241355896, "final_val_loss": 0.2881787419319153, "initial_val_acc": 0.66, "final_val_acc": 0.92, "best_val_acc": 0.92, "best_epoch": 10}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
350
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.78, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6022, "learning_rate": 0.022504247983743633, "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: 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: [[12.682211, 12.793703, 13.501831, 14.100788, 16.339627, 17.136796, 17.958361, 20.828038, 22.792497, 75.443415], [24.456243, 24.901041, 25.221491, 26.611100, 28.341533, 29.091052, 29.453359, 31.171980, 38.025663, 85.677126], [20.448965, 21.086121, 21.579037, 23.102434, 26.879516, 27.853089, 27.890418, 34.313827, 35.443764, 128.483064], [17.960401, 18.013017, 18.482339, 19.227208, 19.674802, 20.003714, 21.796063, 25.749708, 25.907408, 131.997501], [13.424318, 13.704090, 13.837468, 14.996197, 15.213352, 17.923721, 18.434363, 19.435966, 23.553260, 46.974811], [27.332847, 27.443291, 30.429821, 31.093210, 31.969153, 32.669906, 33.317746, 33.441959, 37.505525, 246.793011], [14.947656, 15.479017, 15.986186, 16.164194, 16.503105, 17.360971, 18.965654, 20.357649, 22.676329, 157.113211], [13.974000, 14.170804, 14.702102, 14.915277, 15.661511, 16.173599, 17.096066, 17.259695, 18.360818, 52.074624]]
### 2
fourier: [[19.878046, 20.032303, 20.728129, 21.360113, 21.888214, 27.951036, 30.670245, 31.481312, 37.105342, 170.612331], [8.283719, 8.612416, 8.707590, 8.755935, 11.754369, 13.349856, 13.367830, 13.496704, 15.608146, 87.493870], [8.717432, 8.873676, 9.276208, 9.726184, 9.751680, 10.172281, 10.290535, 12.669027, 13.739598, 76.554861], [11.483844, 11.547153, 12.190756, 13.138401, 13.493035, 13.607014, 15.175871, 16.039917, 16.608823, 49.186373], [10.843236, 12.212191, 12.351555, 12.491670, 13.302746, 13.577489, 13.918367, 20.093272, 20.493710, 74.766718], [13.382814, 14.006886, 14.522454, 15.015536, 15.883844, 16.335286, 16.779991, 18.546957, 19.025863, 30.673612], [3.371752, 3.399985, 3.938087, 4.012879, 4.037422, 4.381380, 4.437829, 4.885050, 5.318589, 5.921551], [16.888819, 16.979370, 19.225875, 19.441438, 19.556239, 20.081541, 20.426151, 20.964834, 23.233279, 147.751755]]
### 4
fourier: [[17.425509, 18.217840, 18.947867, 22.109143, 25.454745, 25.955147, 29.479213, 31.822811, 38.154022, 82.667972], [5.501033, 5.554617, 5.619155, 5.953555, 6.140299, 6.241393, 7.587000, 9.059687, 9.643436, 118.314349], [19.919477, 20.678629, 21.662906, 23.531831, 28.673166, 30.539682, 32.377772, 38.358984, 43.697598, 119.495789], [10.533389, 10.560491, 10.795870, 11.637611, 11.888199, 12.111941, 12.574069, 16.039974, 16.490405, 103.143733], [2.373620, 2.549302, 2.599579, 2.708357, 2.877913, 3.301463, 3.897537, 3.959393, 4.157073, 71.765448], [2.384139, 2.539394, 2.581740, 2.698634, 2.709078, 2.918392, 3.183376, 3.225233, 3.539925, 44.044221], [8.567625, 8.582928, 9.037205, 9.235953, 9.423342, 11.237740, 11.660783, 13.481983, 15.128925, 48.787544], [6.178286, 6.986484, 7.119512, 7.542475, 9.106422, 11.048395, 11.113223, 12.065741, 14.045648, 90.956779]]
### 6
fourier: [[21.297920, 21.705303, 22.230479, 24.511335, 31.253276, 33.428985, 34.478791, 40.645007, 45.607198, 112.650057], [9.238765, 9.275450, 9.910878, 9.995951, 10.856059, 12.526210, 13.672508, 14.815901, 17.066417, 41.360418], [8.634796, 8.969677, 9.435891, 9.444341, 9.469010, 11.053676, 11.754744, 13.730715, 15.365580, 71.656342], [19.754274, 20.784840, 20.820732, 23.554022, 30.025693, 31.730168, 32.073760, 38.515439, 43.378680, 88.582067], [21.456721, 22.239062, 22.509003, 25.429120, 32.221416, 34.351647, 34.603116, 41.280800, 46.691892, 103.626030], [8.787267, 8.936814, 9.122454, 10.672297, 12.885226, 13.456238, 14.548125, 16.676874, 19.275806, 48.211984], [7.875076, 7.927023, 8.151216, 8.189828, 9.055886, 10.323255, 11.924517, 12.122963, 12.628612, 15.403108], [5.333032, 5.423411, 5.615393, 5.725170, 6.643387, 6.943828, 8.525580, 10.496756, 10.587304, 60.623755]]
### 8
fourier: [[1.150029, 1.164124, 1.267754, 1.274452, 1.363860, 1.369857, 1.492946, 1.502404, 1.887665, 29.457938], [5.104732, 5.456362, 6.018479, 6.153169, 6.275314, 6.348844, 7.026264, 8.215352, 8.679407, 92.917257], [3.915780, 3.984440, 4.331272, 4.420147, 5.474805, 6.219323, 6.370136, 7.866843, 8.765647, 46.975702], [26.451304, 27.179976, 29.139137, 29.836289, 38.749582, 39.423497, 41.962675, 50.313937, 55.026844, 140.553049], [3.974694, 3.987487, 4.048462, 4.057995, 4.310818, 4.603667, 4.929616, 5.072484, 5.863232, 102.444191], [31.408442, 31.481505, 33.997649, 34.942371, 46.403377, 46.576029, 49.354057, 60.057039, 65.840289, 162.409989], [8.505382, 8.938767, 9.259047, 9.471413, 11.086638, 13.015656, 13.538886, 14.174866, 17.045391, 54.041069], [40.317929, 40.484715, 42.874987, 44.776460, 58.042756, 60.514336, 62.850795, 75.809926, 83.253546, 175.733143]]
### 10
fourier: [[46.849217, 47.143184, 49.497947, 51.617087, 65.824169, 68.926134, 73.075710, 87.023726, 94.134163, 173.621814]]
## 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: 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: [[12.682211, 12.793703, 13.501831, 14.100788, 16.339627, 17.136796, 17.958361, 20.828038, 22.792497, 75.443415], [24.456243, 24.901041, 25.221491, 26.611100, 28.341533, 29.091052, 29.453359, 31.171980, 38.025663, 85.677126], [20.448965, 21.086121, 21.579037, 23.102434, 26.879516, 27.853089, 27.890418, 34.313827, 35.443764, 128.483064], [17.960401, 18.013017, 18.482339, 19.227208, 19.674802, 20.003714, 21.796063, 25.749708, 25.907408, 131.997501], [13.424318, 13.704090, 13.837468, 14.996197, 15.213352, 17.923721, 18.434363, 19.435966, 23.553260, 46.974811], [27.332847, 27.443291, 30.429821, 31.093210, 31.969153, 32.669906, 33.317746, 33.441959, 37.505525, 246.793011], [14.947656, 15.479017, 15.986186, 16.164194, 16.503105, 17.360971, 18.965654, 20.357649, 22.676329, 157.113211], [13.974000, 14.170804, 14.702102, 14.915277, 15.661511, 16.173599, 17.096066, 17.259695, 18.360818, 52.074624]]
### 2
fourier: [[19.878046, 20.032303, 20.728129, 21.360113, 21.888214, 27.951036, 30.670245, 31.481312, 37.105342, 170.612331], [8.283719, 8.612416, 8.707590, 8.755935, 11.754369, 13.349856, 13.367830, 13.496704, 15.608146, 87.493870], [8.717432, 8.873676, 9.276208, 9.726184, 9.751680, 10.172281, 10.290535, 12.669027, 13.739598, 76.554861], [11.483844, 11.547153, 12.190756, 13.138401, 13.493035, 13.607014, 15.175871, 16.039917, 16.608823, 49.186373], [10.843236, 12.212191, 12.351555, 12.491670, 13.302746, 13.577489, 13.918367, 20.093272, 20.493710, 74.766718], [13.382814, 14.006886, 14.522454, 15.015536, 15.883844, 16.335286, 16.779991, 18.546957, 19.025863, 30.673612], [3.371752, 3.399985, 3.938087, 4.012879, 4.037422, 4.381380, 4.437829, 4.885050, 5.318589, 5.921551], [16.888819, 16.979370, 19.225875, 19.441438, 19.556239, 20.081541, 20.426151, 20.964834, 23.233279, 147.751755]]
### 4
fourier: [[17.425509, 18.217840, 18.947867, 22.109143, 25.454745, 25.955147, 29.479213, 31.822811, 38.154022, 82.667972], [5.501033, 5.554617, 5.619155, 5.953555, 6.140299, 6.241393, 7.587000, 9.059687, 9.643436, 118.314349], [19.919477, 20.678629, 21.662906, 23.531831, 28.673166, 30.539682, 32.377772, 38.358984, 43.697598, 119.495789], [10.533389, 10.560491, 10.795870, 11.637611, 11.888199, 12.111941, 12.574069, 16.039974, 16.490405, 103.143733], [2.373620, 2.549302, 2.599579, 2.708357, 2.877913, 3.301463, 3.897537, 3.959393, 4.157073, 71.765448], [2.384139, 2.539394, 2.581740, 2.698634, 2.709078, 2.918392, 3.183376, 3.225233, 3.539925, 44.044221], [8.567625, 8.582928, 9.037205, 9.235953, 9.423342, 11.237740, 11.660783, 13.481983, 15.128925, 48.787544], [6.178286, 6.986484, 7.119512, 7.542475, 9.106422, 11.048395, 11.113223, 12.065741, 14.045648, 90.956779]]
### 6
fourier: [[21.297920, 21.705303, 22.230479, 24.511335, 31.253276, 33.428985, 34.478791, 40.645007, 45.607198, 112.650057], [9.238765, 9.275450, 9.910878, 9.995951, 10.856059, 12.526210, 13.672508, 14.815901, 17.066417, 41.360418], [8.634796, 8.969677, 9.435891, 9.444341, 9.469010, 11.053676, 11.754744, 13.730715, 15.365580, 71.656342], [19.754274, 20.784840, 20.820732, 23.554022, 30.025693, 31.730168, 32.073760, 38.515439, 43.378680, 88.582067], [21.456721, 22.239062, 22.509003, 25.429120, 32.221416, 34.351647, 34.603116, 41.280800, 46.691892, 103.626030], [8.787267, 8.936814, 9.122454, 10.672297, 12.885226, 13.456238, 14.548125, 16.676874, 19.275806, 48.211984], [7.875076, 7.927023, 8.151216, 8.189828, 9.055886, 10.323255, 11.924517, 12.122963, 12.628612, 15.403108], [5.333032, 5.423411, 5.615393, 5.725170, 6.643387, 6.943828, 8.525580, 10.496756, 10.587304, 60.623755]]
### 8
fourier: [[1.150029, 1.164124, 1.267754, 1.274452, 1.363860, 1.369857, 1.492946, 1.502404, 1.887665, 29.457938], [5.104732, 5.456362, 6.018479, 6.153169, 6.275314, 6.348844, 7.026264, 8.215352, 8.679407, 92.917257], [3.915780, 3.984440, 4.331272, 4.420147, 5.474805, 6.219323, 6.370136, 7.866843, 8.765647, 46.975702], [26.451304, 27.179976, 29.139137, 29.836289, 38.749582, 39.423497, 41.962675, 50.313937, 55.026844, 140.553049], [3.974694, 3.987487, 4.048462, 4.057995, 4.310818, 4.603667, 4.929616, 5.072484, 5.863232, 102.444191], [31.408442, 31.481505, 33.997649, 34.942371, 46.403377, 46.576029, 49.354057, 60.057039, 65.840289, 162.409989], [8.505382, 8.938767, 9.259047, 9.471413, 11.086638, 13.015656, 13.538886, 14.174866, 17.045391, 54.041069], [40.317929, 40.484715, 42.874987, 44.776460, 58.042756, 60.514336, 62.850795, 75.809926, 83.253546, 175.733143]]
### 10
fourier: [[46.849217, 47.143184, 49.497947, 51.617087, 65.824169, 68.926134, 73.075710, 87.023726, 94.134163, 173.621814]]
## 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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351
|
{"target_pattern": "first_last_match", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5638, "learning_rate": 0.034486127717441604, "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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"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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],
"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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"network.8.bias": [
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"network.10.weight": [
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"network.10.bias": [
0.316266
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}
## Activation Signature
### 0
fourier: [[19.727182, 19.790898, 20.842446, 21.839897, 22.035055, 23.872634, 25.343426, 26.595525, 30.895535, 176.207906], [26.183642, 26.755774, 26.887989, 31.014355, 32.378005, 34.409276, 35.736316, 37.050576, 47.863634, 60.445305], [29.833478, 32.786796, 33.093886, 34.033562, 34.745950, 34.830518, 38.044639, 38.758777, 43.016776, 254.635764], [26.825048, 27.414566, 28.684924, 29.628157, 32.838324, 36.273222, 38.640276, 40.310990, 46.479939, 237.437246], [29.861404, 31.678754, 31.718360, 33.465436, 34.161032, 35.540050, 37.188344, 37.361131, 38.841851, 44.221282]]
### 2
fourier: [[23.289281, 25.268169, 27.115107, 27.773029, 28.108114, 32.019457, 34.086764, 38.405802, 43.138339, 112.207737], [10.421151, 10.943594, 11.267394, 11.795881, 16.393623, 17.159184, 17.402298, 19.460199, 19.550479, 113.852088], [10.181298, 10.440096, 10.561342, 10.684740, 11.583700, 12.124077, 12.615427, 14.458806, 16.452779, 58.893219], [13.388844, 14.290145, 14.717469, 14.877726, 17.761843, 19.321822, 20.538553, 22.127137, 22.188013, 34.344897], [9.120093, 10.147823, 10.317017, 10.831560, 11.039198, 12.153056, 12.622760, 13.596882, 15.994037, 29.630519]]
### 4
fourier: [[20.332072, 21.146695, 21.305053, 26.596818, 28.522437, 31.173104, 33.145998, 36.364552, 39.358288, 112.986699], [19.548232, 19.912817, 20.568723, 25.732493, 28.327739, 31.069922, 32.668170, 36.651756, 37.302848, 132.483682], [8.943296, 9.371869, 10.602578, 11.125738, 12.466150, 13.060664, 15.104047, 15.420635, 16.062671, 17.746140], [8.708314, 8.774812, 9.195569, 10.881292, 11.633852, 12.611653, 13.249045, 13.658058, 14.815229, 16.411277], [17.269955, 18.835743, 19.276163, 19.601116, 21.684648, 24.171220, 24.451368, 26.349807, 28.876398, 81.660165]]
### 6
fourier: [[9.988229, 10.343871, 10.453284, 13.400021, 14.549185, 15.778579, 16.746355, 18.423614, 19.604667, 77.305891], [28.186183, 28.965319, 31.187967, 35.515869, 39.713949, 45.277815, 47.808682, 51.944558, 54.842140, 133.662852], [13.440779, 14.471436, 15.297048, 19.481653, 20.916851, 21.570476, 21.761194, 23.669709, 26.696299, 119.692282], [45.399053, 46.036422, 46.551633, 56.687104, 62.777050, 70.256822, 75.799205, 84.546490, 85.081227, 223.701333], [6.558821, 7.218110, 7.766616, 8.307582, 8.608943, 9.255040, 11.228175, 12.168162, 12.573055, 23.988271]]
### 8
fourier: [[29.945163, 31.440011, 32.040386, 39.063339, 42.815851, 46.261735, 51.028491, 53.315652, 58.422751, 161.931150], [4.062933, 4.451439, 4.599851, 5.552768, 6.021199, 6.451333, 7.125770, 7.477852, 8.344495, 59.113407], [11.984294, 12.215918, 12.309522, 15.531919, 17.015577, 18.358123, 19.935166, 21.210889, 22.886503, 85.661474], [15.624465, 15.715114, 15.915492, 19.793712, 21.874147, 23.763176, 25.710393, 27.380011, 28.954733, 93.023802], [60.158885, 60.743281, 61.126044, 77.132025, 84.858351, 91.852169, 99.470691, 105.991347, 113.158524, 356.086063]]
### 10
fourier: [[48.113678, 48.911116, 49.332709, 62.008030, 68.101192, 73.392742, 79.963607, 84.234688, 91.301687, 251.958640]]
## 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:
{
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],
[
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[
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[
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"network.2.weight": [
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"network.2.bias": [
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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.6.bias": [
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"network.8.weight": [
[
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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: [[19.727182, 19.790898, 20.842446, 21.839897, 22.035055, 23.872634, 25.343426, 26.595525, 30.895535, 176.207906], [26.183642, 26.755774, 26.887989, 31.014355, 32.378005, 34.409276, 35.736316, 37.050576, 47.863634, 60.445305], [29.833478, 32.786796, 33.093886, 34.033562, 34.745950, 34.830518, 38.044639, 38.758777, 43.016776, 254.635764], [26.825048, 27.414566, 28.684924, 29.628157, 32.838324, 36.273222, 38.640276, 40.310990, 46.479939, 237.437246], [29.861404, 31.678754, 31.718360, 33.465436, 34.161032, 35.540050, 37.188344, 37.361131, 38.841851, 44.221282]]
### 2
fourier: [[23.289281, 25.268169, 27.115107, 27.773029, 28.108114, 32.019457, 34.086764, 38.405802, 43.138339, 112.207737], [10.421151, 10.943594, 11.267394, 11.795881, 16.393623, 17.159184, 17.402298, 19.460199, 19.550479, 113.852088], [10.181298, 10.440096, 10.561342, 10.684740, 11.583700, 12.124077, 12.615427, 14.458806, 16.452779, 58.893219], [13.388844, 14.290145, 14.717469, 14.877726, 17.761843, 19.321822, 20.538553, 22.127137, 22.188013, 34.344897], [9.120093, 10.147823, 10.317017, 10.831560, 11.039198, 12.153056, 12.622760, 13.596882, 15.994037, 29.630519]]
### 4
fourier: [[20.332072, 21.146695, 21.305053, 26.596818, 28.522437, 31.173104, 33.145998, 36.364552, 39.358288, 112.986699], [19.548232, 19.912817, 20.568723, 25.732493, 28.327739, 31.069922, 32.668170, 36.651756, 37.302848, 132.483682], [8.943296, 9.371869, 10.602578, 11.125738, 12.466150, 13.060664, 15.104047, 15.420635, 16.062671, 17.746140], [8.708314, 8.774812, 9.195569, 10.881292, 11.633852, 12.611653, 13.249045, 13.658058, 14.815229, 16.411277], [17.269955, 18.835743, 19.276163, 19.601116, 21.684648, 24.171220, 24.451368, 26.349807, 28.876398, 81.660165]]
### 6
fourier: [[9.988229, 10.343871, 10.453284, 13.400021, 14.549185, 15.778579, 16.746355, 18.423614, 19.604667, 77.305891], [28.186183, 28.965319, 31.187967, 35.515869, 39.713949, 45.277815, 47.808682, 51.944558, 54.842140, 133.662852], [13.440779, 14.471436, 15.297048, 19.481653, 20.916851, 21.570476, 21.761194, 23.669709, 26.696299, 119.692282], [45.399053, 46.036422, 46.551633, 56.687104, 62.777050, 70.256822, 75.799205, 84.546490, 85.081227, 223.701333], [6.558821, 7.218110, 7.766616, 8.307582, 8.608943, 9.255040, 11.228175, 12.168162, 12.573055, 23.988271]]
### 8
fourier: [[29.945163, 31.440011, 32.040386, 39.063339, 42.815851, 46.261735, 51.028491, 53.315652, 58.422751, 161.931150], [4.062933, 4.451439, 4.599851, 5.552768, 6.021199, 6.451333, 7.125770, 7.477852, 8.344495, 59.113407], [11.984294, 12.215918, 12.309522, 15.531919, 17.015577, 18.358123, 19.935166, 21.210889, 22.886503, 85.661474], [15.624465, 15.715114, 15.915492, 19.793712, 21.874147, 23.763176, 25.710393, 27.380011, 28.954733, 93.023802], [60.158885, 60.743281, 61.126044, 77.132025, 84.858351, 91.852169, 99.470691, 105.991347, 113.158524, 356.086063]]
### 10
fourier: [[48.113678, 48.911116, 49.332709, 62.008030, 68.101192, 73.392742, 79.963607, 84.234688, 91.301687, 251.958640]]
## 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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{"fourier": [48.11367772944669, 48.91111586566172, 49.33270928950129, 62.00802961250968, 68.10119180305345, 73.39274162859216, 79.96360679841392, 84.23468840302232, 91.30168723576813, 251.9586397856474]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.392675, -0.246436, -0.271011, -0.104151, -0.233189], [0.77049, -0.149066, -0.135067, -0.276044, 0.643266], [-0.532785, -0.844846, -0.187774, 0.112167, -0.17545], [-0.009122, -0.694778, 0.232796, -0.713735, -0.003431], [-0.88356, 0.08731, -0.174753, 0.110348, 1.009132]], "network.0.bias": [0.056916, 0.065154, -0.258677, -0.312288, 0.084359], "network.2.weight": [[0.011369, 0.758057, -0.143597, 0.555452, 0.860328], [-0.357238, -0.545201, 0.086889, 0.269844, -0.164427], [0.278921, -0.187601, -0.228204, -0.329525, -0.440505], [-0.306968, 0.523646, -0.01958, -0.290342, -0.605248], [0.140976, 0.422677, -0.567192, 0.399454, 0.02636]], "network.2.bias": [-0.453084, -0.504894, -0.011105, -0.16114, -0.202953], "network.4.weight": [[0.688627, 0.006392, 0.0742, 0.500462, 0.526595], [0.589212, 0.303833, 0.067662, 0.914798, 0.394401], [-0.409583, -0.115872, 0.102919, -0.508999, 0.328389], [-0.311837, -0.05401, -0.023488, -0.183771, -0.150276], [0.252959, 0.072824, 0.147134, 0.776878, 0.762014]], "network.4.bias": [-0.101425, 0.149799, 0.785567, 0.70777, -0.058949], "network.6.weight": [[-0.149703, -0.445284, -0.108321, 0.071972, 0.099739], [0.208573, 0.450862, -0.257635, -0.707449, 0.841667], [-0.337259, -0.314758, -0.15386, -0.469713, -0.190003], [0.949521, 0.895743, -0.683596, -0.582548, 0.301456], [0.385071, 0.068569, -0.536115, 0.032457, -0.299437]], "network.6.bias": [-0.082953, 0.167565, 0.005301, 0.195755, 0.171698], "network.8.weight": [[0.212808, 0.265097, -0.139311, 0.420927, 0.906722], [-0.361364, 0.128372, -0.44525, -0.183245, 0.032121], [-0.115676, 0.026252, -0.140368, -0.303201, 0.07302], [-0.160214, -0.446777, -0.30108, -0.038233, -0.301253], [-0.169853, 0.733588, -0.079237, 0.891568, 0.248774]], "network.8.bias": [-0.139565, -0.380994, -0.188003, -0.062899, 0.170487], "network.10.weight": [[-0.515354, 0.00061, 0.007569, 0.056029, -0.544456]], "network.10.bias": [0.316266]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7022038102149963, "train_acc": 0.435, "val_loss": 0.6906718611717224, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6886163651943207, "train_acc": 0.565, "val_loss": 0.6910367012023926, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6639753580093384, "train_acc": 0.565, "val_loss": 0.6890084147453308, "val_acc": 0.48}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6439335644245148, "train_acc": 0.565, "val_loss": 0.6692371368408203, "val_acc": 0.48}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6063943207263947, "train_acc": 0.565, "val_loss": 0.6191290020942688, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.5730955004692078, "train_acc": 0.505, "val_loss": 0.5460314750671387, "val_acc": 0.48}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.48567643761634827, "train_acc": 0.505, "val_loss": 0.499187171459198, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.44880954921245575, "train_acc": 0.84, "val_loss": 0.46516212821006775, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4316444993019104, "train_acc": 0.85, "val_loss": 0.43406543135643005, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.39656393229961395, "train_acc": 0.885, "val_loss": 0.4218207597732544, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.37854962050914764, "train_acc": 0.89, "val_loss": 0.3913131356239319, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3615068197250366, "train_acc": 0.885, "val_loss": 0.3976610600948334, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.34452980756759644, "train_acc": 0.89, "val_loss": 0.42633071541786194, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.33804653584957123, "train_acc": 0.885, "val_loss": 0.40597736835479736, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 5, "improved_epochs": 9, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6906718611717224, "final_val_loss": 0.6191290020942688, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5460314750671387, "final_val_loss": 0.40597736835479736, "initial_val_acc": 0.48, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 8}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
352
|
{"target_pattern": "no_repeats", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7108, "learning_rate": 0.06840456236476737, "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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.200397,
0.363756,
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-0.096381,
-1.39066
],
[
0.7997,
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0.035136,
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],
[
1.173482,
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-1.036589
],
[
1.28943,
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],
[
1.743136,
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]
],
"network.0.bias": [
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1.299157
],
"network.2.weight": [
[
0.843542,
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0.888754,
0.997361
],
[
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0.247434
],
[
-0.245701,
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],
[
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0.019438
],
[
0.718602,
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0.951204,
0.95417,
1.145766
]
],
"network.2.bias": [
0.068771,
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0.810192,
-0.48675,
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],
"network.4.weight": [
[
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1.052425,
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],
[
0.521903,
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0.141749,
0.538298
],
[
0.858011,
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],
[
0.980461,
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],
[
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]
],
"network.4.bias": [
0.85251,
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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.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[44.729346, 45.204348, 47.460064, 47.488045, 48.575077, 50.002313, 50.260844, 51.763994, 55.670384, 60.310736], [28.291795, 30.110882, 30.882926, 32.740614, 34.683061, 35.062369, 36.051519, 43.225566, 45.550676, 81.254365], [36.035172, 36.697725, 37.229259, 39.577356, 41.154023, 44.504441, 44.673124, 44.760801, 49.914274, 51.328271], [39.411616, 41.582695, 42.127640, 44.220170, 44.585164, 44.883025, 51.435712, 51.929306, 56.119639, 84.348796], [40.750269, 50.766244, 50.988294, 51.954180, 52.217728, 59.863524, 61.118399, 61.145272, 76.812964, 240.809841]]
### 2
fourier: [[89.287986, 95.652168, 95.898436, 96.455124, 103.568513, 124.786255, 125.703628, 142.098825, 149.300805, 481.553271], [16.012788, 17.017462, 17.159822, 17.625889, 18.458058, 20.134383, 20.436377, 23.758415, 25.209617, 30.677019], [51.814561, 63.756298, 67.100109, 68.484751, 72.265782, 74.798448, 79.224869, 85.365254, 102.450475, 255.813216], [5.455082, 5.818991, 5.979339, 6.010178, 6.571003, 6.729704, 6.756972, 8.403476, 9.098853, 47.314074], [105.471465, 109.172308, 110.371787, 111.251870, 118.883815, 145.868690, 146.517944, 167.014174, 174.933693, 538.536119]]
### 4
fourier: [[67.906951, 75.054287, 77.503094, 77.829497, 83.355318, 98.968240, 102.326939, 114.359304, 118.202483, 270.455042], [102.716981, 108.044935, 111.421441, 111.976789, 120.385337, 143.781793, 145.854037, 165.253022, 173.765684, 541.258648], [162.156070, 165.080235, 173.568311, 176.526024, 187.838514, 223.906632, 226.227810, 257.058860, 272.305315, 876.374988], [163.559134, 166.454783, 173.515570, 177.155304, 187.830436, 225.141692, 226.300821, 257.814714, 273.022882, 865.743237], [60.403312, 60.502375, 62.093559, 63.769225, 67.078846, 81.615068, 82.033017, 93.321119, 98.843992, 329.033822]]
### 6
fourier: [[84.217860, 93.449675, 102.685339, 103.552293, 111.915896, 121.715528, 129.843134, 142.709867, 152.893599, 415.950851], [155.561439, 157.935241, 158.173729, 161.308350, 169.956747, 209.566799, 213.849994, 242.489329, 254.734939, 852.422612], [58.852337, 59.048861, 59.439914, 60.521073, 63.971143, 78.970182, 80.274272, 91.149575, 95.554147, 320.554793], [273.098250, 278.718415, 290.434357, 295.704401, 314.259833, 376.734903, 379.424687, 431.875208, 456.683974, 1457.801052], [348.590884, 358.122494, 373.613720, 379.736129, 404.372119, 482.562464, 487.768834, 554.025526, 585.696313, 1853.015914]]
### 8
fourier: [[413.705137, 429.199470, 449.382513, 456.450163, 487.820627, 574.603099, 585.918196, 662.002939, 700.197297, 2178.175331]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.200397,
0.363756,
-0.165032,
-0.096381,
-1.39066
],
[
0.7997,
-1.180057,
-0.222949,
0.035136,
0.262311
],
[
1.173482,
-0.074114,
-0.088825,
-0.253524,
-1.036589
],
[
1.28943,
0.188458,
-0.287143,
-0.443226,
-0.840671
],
[
1.743136,
-0.400022,
0.024439,
0.022294,
-0.131885
]
],
"network.0.bias": [
0.68505,
0.319168,
0.242645,
-0.298134,
1.299157
],
"network.2.weight": [
[
0.843542,
0.649957,
0.400154,
0.888754,
0.997361
],
[
-0.462753,
0.170719,
-0.218734,
-0.210041,
0.247434
],
[
-0.245701,
-0.547215,
-0.068772,
-0.200408,
-1.032204
],
[
-0.072704,
0.319975,
-0.376937,
0.205612,
0.019438
],
[
0.718602,
0.670189,
0.951204,
0.95417,
1.145766
]
],
"network.2.bias": [
0.068771,
0.525342,
0.810192,
-0.48675,
-0.008647
],
"network.4.weight": [
[
-0.395526,
0.261058,
1.052425,
0.26047,
-0.339845
],
[
0.521903,
0.040418,
-0.61088,
0.141749,
0.538298
],
[
0.858011,
0.388115,
-0.580115,
0.159049,
0.801845
],
[
0.980461,
0.328824,
-0.184075,
0.573364,
0.702812
],
[
-0.316893,
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-0.024867,
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]
],
"network.4.bias": [
0.85251,
0.032543,
0.148419,
-0.051232,
-0.072624
],
"network.6.weight": [
[
1.103518,
0.113459,
-0.260434,
-0.359184,
0.022146
],
[
-0.880747,
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-0.357017
],
[
-0.275886,
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0.086736,
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0.046225
],
[
0.004007,
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0.514372,
0.929079,
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],
[
-0.228552,
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0.732256,
0.938763,
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]
],
"network.6.bias": [
0.419875,
-0.196886,
-0.133739,
0.055444,
-0.021201
],
"network.8.weight": [
[
0.608103,
-0.119083,
-0.054446,
-0.659828,
-0.679208
]
],
"network.8.bias": [
0.335753
]
}
## Activation Signature
### 0
fourier: [[44.729346, 45.204348, 47.460064, 47.488045, 48.575077, 50.002313, 50.260844, 51.763994, 55.670384, 60.310736], [28.291795, 30.110882, 30.882926, 32.740614, 34.683061, 35.062369, 36.051519, 43.225566, 45.550676, 81.254365], [36.035172, 36.697725, 37.229259, 39.577356, 41.154023, 44.504441, 44.673124, 44.760801, 49.914274, 51.328271], [39.411616, 41.582695, 42.127640, 44.220170, 44.585164, 44.883025, 51.435712, 51.929306, 56.119639, 84.348796], [40.750269, 50.766244, 50.988294, 51.954180, 52.217728, 59.863524, 61.118399, 61.145272, 76.812964, 240.809841]]
### 2
fourier: [[89.287986, 95.652168, 95.898436, 96.455124, 103.568513, 124.786255, 125.703628, 142.098825, 149.300805, 481.553271], [16.012788, 17.017462, 17.159822, 17.625889, 18.458058, 20.134383, 20.436377, 23.758415, 25.209617, 30.677019], [51.814561, 63.756298, 67.100109, 68.484751, 72.265782, 74.798448, 79.224869, 85.365254, 102.450475, 255.813216], [5.455082, 5.818991, 5.979339, 6.010178, 6.571003, 6.729704, 6.756972, 8.403476, 9.098853, 47.314074], [105.471465, 109.172308, 110.371787, 111.251870, 118.883815, 145.868690, 146.517944, 167.014174, 174.933693, 538.536119]]
### 4
fourier: [[67.906951, 75.054287, 77.503094, 77.829497, 83.355318, 98.968240, 102.326939, 114.359304, 118.202483, 270.455042], [102.716981, 108.044935, 111.421441, 111.976789, 120.385337, 143.781793, 145.854037, 165.253022, 173.765684, 541.258648], [162.156070, 165.080235, 173.568311, 176.526024, 187.838514, 223.906632, 226.227810, 257.058860, 272.305315, 876.374988], [163.559134, 166.454783, 173.515570, 177.155304, 187.830436, 225.141692, 226.300821, 257.814714, 273.022882, 865.743237], [60.403312, 60.502375, 62.093559, 63.769225, 67.078846, 81.615068, 82.033017, 93.321119, 98.843992, 329.033822]]
### 6
fourier: [[84.217860, 93.449675, 102.685339, 103.552293, 111.915896, 121.715528, 129.843134, 142.709867, 152.893599, 415.950851], [155.561439, 157.935241, 158.173729, 161.308350, 169.956747, 209.566799, 213.849994, 242.489329, 254.734939, 852.422612], [58.852337, 59.048861, 59.439914, 60.521073, 63.971143, 78.970182, 80.274272, 91.149575, 95.554147, 320.554793], [273.098250, 278.718415, 290.434357, 295.704401, 314.259833, 376.734903, 379.424687, 431.875208, 456.683974, 1457.801052], [348.590884, 358.122494, 373.613720, 379.736129, 404.372119, 482.562464, 487.768834, 554.025526, 585.696313, 1853.015914]]
### 8
fourier: [[413.705137, 429.199470, 449.382513, 456.450163, 487.820627, 574.603099, 585.918196, 662.002939, 700.197297, 2178.175331]]
## 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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52.21772764785889, 59.86352369456019, 61.11839866711322, 61.14527222686243, 76.81296413769816, 240.8098413348198]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [89.28798594365045, 95.65216788546142, 95.89843617865822, 96.45512448674835, 103.568513417846, 124.78625471099156, 125.70362797825521, 142.09882521547797, 149.30080543157564, 481.5532709658146]}, "1": {"fourier": [16.01278794051545, 17.0174617109376, 17.159822433823074, 17.625888579212354, 18.45805756953773, 20.13438312398004, 20.436377231266817, 23.758414566516876, 25.20961655459327, 30.677019144994926]}, "2": {"fourier": [51.81456060516607, 63.756297696042914, 67.10010934029006, 68.48475058720267, 72.26578211558225, 74.79844765217058, 79.22486949781391, 85.36525436483356, 102.45047455037647, 255.81321585178375]}, "3": {"fourier": [5.4550816030689475, 5.818991418812849, 5.979338698342526, 6.010178103376807, 6.571003283844567, 6.729704021579493, 6.7569717122639155, 8.403475985230504, 9.098852816010119, 47.31407371163368]}, "4": {"fourier": [105.47146462136125, 109.17230815889273, 110.37178693584895, 111.25187019965578, 118.8838149638372, 145.86868952683585, 146.51794375087846, 167.01417370172803, 174.9336930094298, 538.536119453609]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [67.90695086731942, 75.05428708002776, 77.50309398097545, 77.82949744744234, 83.35531763603497, 98.96824026101706, 102.32693886541642, 114.35930426163235, 118.20248252718227, 270.45504227280617]}, "1": {"fourier": [102.7169807546463, 108.0449347300542, 111.4214407942667, 111.9767894572216, 120.38533716852648, 143.78179305657136, 145.85403700222525, 165.25302235563925, 173.7656843043635, 541.2586483210325]}, "2": {"fourier": [162.15607006613882, 165.08023529710945, 173.56831073325534, 176.5260241038492, 187.83851419565954, 223.90663204591297, 226.22781019389865, 257.0588598287695, 272.3053145003207, 876.3749878108501]}, "3": {"fourier": [163.55913386156718, 166.45478278498274, 173.51557036982726, 177.15530397482857, 187.83043564979073, 225.1416923961656, 226.30082071109257, 257.81471378237285, 273.02288215556854, 865.7432368993759]}, "4": {"fourier": [60.403312108624675, 60.502374568388746, 62.09355879673242, 63.769224804736936, 67.07884593842405, 81.6150682001052, 82.03301718861644, 93.32111889491267, 98.84399217550356, 329.03382235765457]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [84.21786026697205, 93.44967529538148, 102.68533859038588, 103.55229313186348, 111.91589581095656, 121.7155275247912, 129.84313401199702, 142.70986658809244, 152.8935994062443, 415.9508509039879]}, "1": {"fourier": [155.56143893641257, 157.93524072427522, 158.1737287718357, 161.308350472401, 169.95674749123506, 209.5667985515435, 213.84999366020836, 242.4893293579294, 254.73493934558942, 852.4226118326187]}, "2": {"fourier": [58.85233660923793, 59.04886064162805, 59.4399142350208, 60.521072707217314, 63.9711429062902, 78.97018152677954, 80.274272289422, 91.14957535933486, 95.55414706239743, 320.55479288101196]}, "3": {"fourier": [273.0982502443331, 278.71841545347274, 290.43435743370895, 295.704400700727, 314.2598334534582, 376.7349030141442, 379.42468716459115, 431.87520798060984, 456.6839735297762, 1457.801052004099]}, "4": {"fourier": [348.59088445749325, 358.1224943062317, 373.6137198630124, 379.7361288990864, 404.3721186105746, 482.5624635227938, 487.76883422516744, 554.0255263901425, 585.69631340886, 1853.0159136801958]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [413.7051372401372, 429.1994702520938, 449.3825125181745, 456.4501630521701, 487.82062663040074, 574.6030993157428, 585.9181961605728, 662.0029391621412, 700.1972971212033, 2178.175331234932]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.200397, 0.363756, -0.165032, -0.096381, -1.39066], [0.7997, -1.180057, -0.222949, 0.035136, 0.262311], [1.173482, -0.074114, -0.088825, -0.253524, -1.036589], [1.28943, 0.188458, -0.287143, -0.443226, -0.840671], [1.743136, -0.400022, 0.024439, 0.022294, -0.131885]], "network.0.bias": [0.68505, 0.319168, 0.242645, -0.298134, 1.299157], "network.2.weight": [[0.843542, 0.649957, 0.400154, 0.888754, 0.997361], [-0.462753, 0.170719, -0.218734, -0.210041, 0.247434], [-0.245701, -0.547215, -0.068772, -0.200408, -1.032204], [-0.072704, 0.319975, -0.376937, 0.205612, 0.019438], [0.718602, 0.670189, 0.951204, 0.95417, 1.145766]], "network.2.bias": [0.068771, 0.525342, 0.810192, -0.48675, -0.008647], "network.4.weight": [[-0.395526, 0.261058, 1.052425, 0.26047, -0.339845], [0.521903, 0.040418, -0.61088, 0.141749, 0.538298], [0.858011, 0.388115, -0.580115, 0.159049, 0.801845], [0.980461, 0.328824, -0.184075, 0.573364, 0.702812], [-0.316893, -0.155852, -0.346524, -0.024867, -0.292099]], "network.4.bias": [0.85251, 0.032543, 0.148419, -0.051232, -0.072624], "network.6.weight": [[1.103518, 0.113459, -0.260434, -0.359184, 0.022146], [-0.880747, -0.446265, -0.122783, -0.537746, -0.357017], [-0.275886, -0.33267, 0.086736, -0.228517, 0.046225], [0.004007, 0.363465, 0.514372, 0.929079, -0.329375], [-0.228552, 0.745859, 0.732256, 0.938763, -0.251823]], "network.6.bias": [0.419875, -0.196886, -0.133739, 0.055444, -0.021201], "network.8.weight": [[0.608103, -0.119083, -0.054446, -0.659828, -0.679208]], "network.8.bias": [0.335753]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853979527950287, "train_acc": 0.57, "val_loss": 0.7080221772193909, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6739143133163452, "train_acc": 0.57, "val_loss": 0.6742265224456787, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.633413702249527, "train_acc": 0.57, "val_loss": 0.6063026189804077, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6096187233924866, "train_acc": 0.595, "val_loss": 0.5572350025177002, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5807962417602539, "train_acc": 0.69, "val_loss": 0.48902061581611633, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.49624237418174744, "train_acc": 0.73, "val_loss": 0.4683397710323334, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4472558796405792, "train_acc": 0.795, "val_loss": 0.4479646682739258, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4069353938102722, "train_acc": 0.8, "val_loss": 0.4253977835178375, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4059350788593292, "train_acc": 0.815, "val_loss": 0.4040427505970001, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3680434972047806, "train_acc": 0.86, "val_loss": 0.3790714144706726, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.35327912867069244, "train_acc": 0.85, "val_loss": 0.3682252764701843, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.34514904022216797, "train_acc": 0.86, "val_loss": 0.3111083209514618, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3220857083797455, "train_acc": 0.865, "val_loss": 0.23321108520030975, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.7080221772193909, "final_val_loss": 0.6063026189804077, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5572350025177002, "final_val_loss": 0.23321108520030975, "initial_val_acc": 0.78, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 12}, "improvement": 0.4799999999999999, "first_improvement_epoch": 2}}
|
353
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6953, "learning_rate": 0.06559015649281494, "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:
{
"network.0.weight": [
[
0.756835,
0.073022,
0.081341,
-0.721972,
1.268112
],
[
-0.686791,
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-0.010525,
0.220376,
1.230002
],
[
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-1.453272
],
[
0.784955,
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-0.026511,
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],
[
-1.379472,
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],
[
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]
],
"network.0.bias": [
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],
"network.2.weight": [
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}
## Activation Signature
### 0
fourier: [[41.205162, 41.854752, 44.100755, 48.219529, 52.335078, 54.979298, 58.279218, 61.825872, 66.767509, 142.031055], [32.301113, 32.942915, 34.816364, 36.274320, 36.748243, 40.035894, 41.337971, 41.613917, 47.546340, 81.560220], [39.896371, 40.219756, 40.434180, 40.684506, 41.207592, 41.439943, 45.911782, 47.794938, 49.710349, 71.021403], [34.358235, 34.911256, 35.990128, 37.832242, 40.841745, 43.587597, 44.274023, 46.939217, 56.059733, 69.777611], [41.882139, 43.571963, 44.611239, 44.706400, 47.095459, 47.306351, 54.891788, 55.985969, 56.338655, 214.114581], [17.216216, 18.877599, 20.367115, 20.838370, 21.034266, 24.170783, 24.961773, 25.886370, 28.600657, 138.774696]]
### 2
fourier: [[19.878089, 20.001535, 22.671420, 23.175977, 24.675039, 27.493719, 28.789753, 29.094722, 31.909649, 42.497563], [43.134685, 43.526174, 44.624877, 45.188921, 51.870125, 54.403821, 58.064891, 66.860644, 78.202574, 234.597934], [29.235442, 31.884373, 33.048441, 33.192960, 33.210785, 33.537847, 40.976101, 46.119603, 59.185240, 190.788104], [31.852689, 33.090646, 35.533941, 36.461295, 39.744426, 41.394487, 41.631085, 50.488520, 56.298081, 171.668121], [23.962842, 26.003542, 27.266301, 27.937722, 29.864088, 31.410544, 31.724376, 33.183858, 34.986859, 46.902070], [12.971493, 13.235098, 13.453162, 14.997532, 15.024598, 15.207965, 16.481741, 17.228631, 19.250280, 148.818727]]
### 4
fourier: [[23.792561, 26.139998, 28.659130, 29.573666, 29.970524, 30.714431, 35.417434, 41.034946, 46.988804, 50.360434], [15.231447, 16.801734, 19.219521, 19.283482, 19.694543, 19.764073, 23.537659, 26.238530, 32.508328, 68.404672], [9.433724, 10.132938, 10.922076, 11.100486, 11.108478, 12.311659, 14.694511, 14.703458, 15.891863, 25.490495], [56.087881, 56.252570, 60.592534, 60.975399, 62.576161, 65.354764, 79.649051, 85.329184, 107.308753, 300.017394], [53.656572, 56.587838, 61.115544, 63.122796, 63.128863, 64.056820, 81.159889, 84.499931, 109.156884, 182.645935], [37.416275, 38.283883, 38.358521, 40.481205, 44.986845, 47.956737, 48.150345, 56.687667, 68.230714, 247.962774]]
### 6
fourier: [[50.184347, 51.493925, 54.981995, 57.330528, 60.231535, 60.793878, 79.033541, 90.381176, 102.427762, 225.456826], [34.625278, 35.153024, 38.296282, 39.764915, 40.948034, 41.247266, 53.141535, 62.390404, 70.425786, 185.028720], [3.958508, 4.116157, 4.346033, 4.351280, 4.508421, 4.533687, 5.133415, 5.965989, 6.037900, 84.265898], [23.547423, 23.602112, 24.181574, 25.988599, 26.260020, 27.621308, 27.650141, 35.542657, 44.427706, 47.046983], [12.859646, 13.320732, 13.626978, 15.373472, 16.362927, 17.432232, 18.172963, 18.193514, 20.768062, 90.568454], [5.099125, 5.395217, 5.752437, 6.006099, 6.136279, 6.927498, 6.952928, 7.544685, 7.713550, 64.255730]]
### 8
fourier: [[90.859719, 96.347684, 97.124106, 98.002090, 101.783654, 102.126038, 131.110311, 133.699285, 168.995510, 564.575517]]
## 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:
{
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],
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"network.4.weight": [
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"network.4.bias": [
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[41.205162, 41.854752, 44.100755, 48.219529, 52.335078, 54.979298, 58.279218, 61.825872, 66.767509, 142.031055], [32.301113, 32.942915, 34.816364, 36.274320, 36.748243, 40.035894, 41.337971, 41.613917, 47.546340, 81.560220], [39.896371, 40.219756, 40.434180, 40.684506, 41.207592, 41.439943, 45.911782, 47.794938, 49.710349, 71.021403], [34.358235, 34.911256, 35.990128, 37.832242, 40.841745, 43.587597, 44.274023, 46.939217, 56.059733, 69.777611], [41.882139, 43.571963, 44.611239, 44.706400, 47.095459, 47.306351, 54.891788, 55.985969, 56.338655, 214.114581], [17.216216, 18.877599, 20.367115, 20.838370, 21.034266, 24.170783, 24.961773, 25.886370, 28.600657, 138.774696]]
### 2
fourier: [[19.878089, 20.001535, 22.671420, 23.175977, 24.675039, 27.493719, 28.789753, 29.094722, 31.909649, 42.497563], [43.134685, 43.526174, 44.624877, 45.188921, 51.870125, 54.403821, 58.064891, 66.860644, 78.202574, 234.597934], [29.235442, 31.884373, 33.048441, 33.192960, 33.210785, 33.537847, 40.976101, 46.119603, 59.185240, 190.788104], [31.852689, 33.090646, 35.533941, 36.461295, 39.744426, 41.394487, 41.631085, 50.488520, 56.298081, 171.668121], [23.962842, 26.003542, 27.266301, 27.937722, 29.864088, 31.410544, 31.724376, 33.183858, 34.986859, 46.902070], [12.971493, 13.235098, 13.453162, 14.997532, 15.024598, 15.207965, 16.481741, 17.228631, 19.250280, 148.818727]]
### 4
fourier: [[23.792561, 26.139998, 28.659130, 29.573666, 29.970524, 30.714431, 35.417434, 41.034946, 46.988804, 50.360434], [15.231447, 16.801734, 19.219521, 19.283482, 19.694543, 19.764073, 23.537659, 26.238530, 32.508328, 68.404672], [9.433724, 10.132938, 10.922076, 11.100486, 11.108478, 12.311659, 14.694511, 14.703458, 15.891863, 25.490495], [56.087881, 56.252570, 60.592534, 60.975399, 62.576161, 65.354764, 79.649051, 85.329184, 107.308753, 300.017394], [53.656572, 56.587838, 61.115544, 63.122796, 63.128863, 64.056820, 81.159889, 84.499931, 109.156884, 182.645935], [37.416275, 38.283883, 38.358521, 40.481205, 44.986845, 47.956737, 48.150345, 56.687667, 68.230714, 247.962774]]
### 6
fourier: [[50.184347, 51.493925, 54.981995, 57.330528, 60.231535, 60.793878, 79.033541, 90.381176, 102.427762, 225.456826], [34.625278, 35.153024, 38.296282, 39.764915, 40.948034, 41.247266, 53.141535, 62.390404, 70.425786, 185.028720], [3.958508, 4.116157, 4.346033, 4.351280, 4.508421, 4.533687, 5.133415, 5.965989, 6.037900, 84.265898], [23.547423, 23.602112, 24.181574, 25.988599, 26.260020, 27.621308, 27.650141, 35.542657, 44.427706, 47.046983], [12.859646, 13.320732, 13.626978, 15.373472, 16.362927, 17.432232, 18.172963, 18.193514, 20.768062, 90.568454], [5.099125, 5.395217, 5.752437, 6.006099, 6.136279, 6.927498, 6.952928, 7.544685, 7.713550, 64.255730]]
### 8
fourier: [[90.859719, 96.347684, 97.124106, 98.002090, 101.783654, 102.126038, 131.110311, 133.699285, 168.995510, 564.575517]]
## 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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26.260019967963977, 27.621308227601787, 27.650140855509974, 35.54265690791013, 44.427705552339035, 47.04698255417175]}, "4": {"fourier": [12.859645984141617, 13.320732150782524, 13.62697842306766, 15.373471748709221, 16.362926717451657, 17.432232206254152, 18.172962849038644, 18.19351432733353, 20.768062328280056, 90.5684536639601]}, "5": {"fourier": [5.099124907232303, 5.395216534551028, 5.752436811948046, 6.006098954247162, 6.1362787280517885, 6.92749811917046, 6.952928022260314, 7.5446852400099615, 7.7135501463760265, 64.2557302415371]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [90.8597191111884, 96.3476840935499, 97.12410646318507, 98.00209041521029, 101.78365366502412, 102.12603813424691, 131.1103109317611, 133.6992847415665, 168.99550973893565, 564.575516730547]}}, "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": [[0.756835, 0.073022, 0.081341, -0.721972, 1.268112], [-0.686791, 0.051387, -0.010525, 0.220376, 1.230002], [0.464288, 0.283268, 0.536553, 0.210496, -1.453272], [0.784955, -0.032449, -0.026511, -0.592097, 0.866226], [-1.379472, -0.0931, -0.165716, -0.068941, 0.257206], [0.352201, 0.261675, 0.205273, -0.213112, 0.322813]], "network.0.bias": [0.317534, -0.300342, -0.084659, 0.114354, -0.315944, 0.256894], "network.2.weight": [[-0.570772, -0.226144, 0.376015, -0.024933, 0.498401, 0.324458], [0.541955, 0.302592, -0.257154, 0.807661, -1.517392, 0.101042], [0.280247, 0.380499, -0.362042, 0.381513, -1.208653, 0.339198], [1.005122, 0.041842, -0.111682, -0.028186, -0.875005, -0.063885], [0.359707, -0.72066, 0.572998, -0.877163, 1.750327, 0.27932], [0.083076, -0.006653, -0.436151, -0.201654, 0.131551, -0.217012]], "network.2.bias": [0.287125, 0.145037, 0.512342, 0.003055, 0.413523, -0.549246], "network.4.weight": [[0.063141, -0.545829, -0.068491, 0.114042, 0.654862, 0.464376], [0.242873, -0.227716, -0.26068, 0.121028, 0.278075, -0.095717], [-0.702936, 0.193721, -0.723197, 0.55015, 0.359395, 0.761696], [-0.235265, 0.833448, 0.5301, 0.100515, -0.279546, -1.234459], [0.227905, -0.543846, -0.642963, -0.256839, 0.863384, 0.783083], [-0.102085, -0.871892, -0.139142, 0.122737, 0.049338, -0.017722]], "network.4.bias": [0.256101, -0.230477, -0.249381, 0.094239, 0.417944, -0.409312], "network.6.weight": [[-0.657024, -1.054138, -0.319235, 0.77587, -0.750972, 0.184718], [-0.255976, -0.529418, -0.391104, 0.529443, -0.775729, -0.324143], [0.029407, -0.014762, 0.018824, -0.069246, -0.215855, -0.313581], [0.432175, 0.357257, -0.352804, -0.232699, 0.782124, 0.06802], [0.316786, 0.159397, -0.375233, -0.230923, -0.515763, -0.085718], [-0.136604, -0.315821, 0.021138, -0.097988, -0.007056, -0.095867]], "network.6.bias": [0.793152, 0.933885, -0.587641, -0.081012, 0.001775, -0.282447], "network.8.weight": [[-1.150919, -1.150955, -0.100019, 0.377952, -0.230334, -0.088213]], "network.8.bias": [-0.132799]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7276315689086914, "train_acc": 0.42, "val_loss": 0.690326988697052, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.691116452217102, "train_acc": 0.62, "val_loss": 0.6907309889793396, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6636497378349304, "train_acc": 0.58, "val_loss": 0.5984001755714417, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5570661425590515, "train_acc": 0.695, "val_loss": 0.4055684804916382, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5038014054298401, "train_acc": 0.84, "val_loss": 0.3299861252307892, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.41371554136276245, "train_acc": 0.84, "val_loss": 0.268879771232605, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.35585246980190277, "train_acc": 0.845, "val_loss": 0.24812346696853638, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.33767540752887726, "train_acc": 0.85, "val_loss": 0.2571831941604614, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.31957806646823883, "train_acc": 0.865, "val_loss": 0.35699450969696045, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32973119616508484, "train_acc": 0.87, "val_loss": 0.23758988082408905, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2956065163016319, "train_acc": 0.87, "val_loss": 0.21473374962806702, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.31403400003910065, "train_acc": 0.87, "val_loss": 0.18518079817295074, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.28397926688194275, "train_acc": 0.895, "val_loss": 0.18567079305648804, "val_acc": 0.94}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.690326988697052, "final_val_loss": 0.5984001755714417, "initial_val_acc": 0.74, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.4055684804916382, "final_val_loss": 0.18567079305648804, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 11}, "improvement": 0.17999999999999994, "first_improvement_epoch": 2}}
|
354
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.88, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4705, "learning_rate": 0.09197258285816481, "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: 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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],
[
1.86044,
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],
[
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],
[
-1.732405,
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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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0.02799,
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0.170175
],
"network.4.weight": [
[
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],
[
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0.112756,
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],
[
0.153509,
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],
[
0.057612,
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],
[
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]
],
"network.4.bias": [
0.496132,
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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.10.bias": [
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}
## Activation Signature
### 0
fourier: [[12.490376, 12.773632, 13.772516, 14.055979, 14.254755, 15.860400, 16.268228, 19.625505, 21.041532, 37.024000], [22.002286, 23.941456, 24.139347, 25.736937, 26.623905, 29.334211, 31.414314, 34.435506, 34.491539, 65.245265], [62.117475, 63.464853, 66.869893, 69.520068, 69.764601, 71.001513, 73.186819, 74.892501, 75.192210, 321.411622], [71.551494, 74.679410, 76.992833, 77.904474, 82.109364, 85.853354, 93.097036, 105.548625, 112.382122, 834.771365], [52.287216, 56.218823, 57.017899, 59.179210, 70.055154, 71.670387, 71.974152, 73.393148, 77.435853, 133.440563]]
### 2
fourier: [[32.554827, 33.132193, 33.870394, 35.271811, 36.251535, 37.408529, 39.001192, 40.629973, 42.390625, 174.001064], [24.769543, 26.250022, 29.622375, 29.989827, 30.242221, 30.615589, 32.309918, 33.552422, 38.476338, 96.888971], [23.840473, 24.453935, 25.782999, 28.183361, 28.303392, 29.655036, 31.835305, 32.029195, 32.723041, 227.550250], [46.043963, 53.501152, 57.379871, 60.335349, 62.223972, 62.511414, 64.209901, 64.673380, 73.051146, 267.696092], [36.399269, 39.559964, 40.004430, 43.284529, 43.772721, 44.120106, 46.222065, 46.946493, 52.597945, 133.582783]]
### 4
fourier: [[20.936490, 21.070933, 21.719293, 22.052570, 22.813509, 22.874962, 24.095461, 25.587915, 31.697940, 125.911938], [30.651210, 32.873071, 37.355795, 37.746714, 38.948377, 38.988166, 39.301410, 39.970975, 46.781640, 121.930005], [4.763711, 4.830949, 4.831459, 4.901614, 4.929460, 4.988141, 5.100038, 5.655266, 6.652689, 40.147801], [54.821241, 57.944000, 64.420549, 69.090005, 71.348589, 71.419275, 72.468245, 72.844351, 72.904651, 312.051331], [20.010614, 22.332496, 24.211936, 25.923610, 26.995392, 27.362055, 27.506869, 28.447961, 28.524703, 110.069311]]
### 6
fourier: [[14.326454, 15.361027, 15.467716, 15.565467, 15.610474, 15.926861, 16.093992, 17.848831, 22.072540, 74.757665], [9.039253, 9.364215, 9.545420, 10.564992, 10.750009, 10.754186, 10.764238, 10.940594, 11.817585, 33.723504], [36.803700, 40.918222, 43.230495, 46.735710, 48.515132, 48.862796, 49.005327, 49.439145, 50.977878, 251.180489], [46.981867, 54.914183, 54.963774, 60.330966, 62.198027, 62.616781, 63.676715, 63.806031, 68.359257, 301.853756], [26.633095, 28.030472, 32.893033, 33.058043, 33.571402, 35.076951, 35.966177, 36.558803, 36.788825, 295.521746]]
### 8
fourier: [[9.095078, 9.776298, 9.926008, 10.006063, 10.935687, 11.033979, 11.173575, 11.302074, 14.200025, 79.640584], [46.685697, 53.022486, 54.890576, 59.039327, 61.784896, 61.808914, 62.753114, 63.240392, 65.681962, 289.610708], [59.102664, 69.430063, 69.820292, 75.809204, 78.562277, 79.119526, 80.398648, 80.855958, 86.526029, 415.278472], [32.171953, 37.775198, 38.329576, 41.597967, 42.849753, 43.303677, 43.903783, 43.919385, 47.422594, 211.281730], [25.606504, 30.031130, 30.765341, 32.825688, 33.993937, 34.214324, 34.926464, 35.356906, 38.245200, 153.139597]]
### 10
fourier: [[54.450238, 62.137034, 63.973996, 68.223707, 71.323401, 71.816214, 72.931924, 74.355822, 76.855616, 352.949549]]
## 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: 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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}
## Activation Signature
### 0
fourier: [[12.490376, 12.773632, 13.772516, 14.055979, 14.254755, 15.860400, 16.268228, 19.625505, 21.041532, 37.024000], [22.002286, 23.941456, 24.139347, 25.736937, 26.623905, 29.334211, 31.414314, 34.435506, 34.491539, 65.245265], [62.117475, 63.464853, 66.869893, 69.520068, 69.764601, 71.001513, 73.186819, 74.892501, 75.192210, 321.411622], [71.551494, 74.679410, 76.992833, 77.904474, 82.109364, 85.853354, 93.097036, 105.548625, 112.382122, 834.771365], [52.287216, 56.218823, 57.017899, 59.179210, 70.055154, 71.670387, 71.974152, 73.393148, 77.435853, 133.440563]]
### 2
fourier: [[32.554827, 33.132193, 33.870394, 35.271811, 36.251535, 37.408529, 39.001192, 40.629973, 42.390625, 174.001064], [24.769543, 26.250022, 29.622375, 29.989827, 30.242221, 30.615589, 32.309918, 33.552422, 38.476338, 96.888971], [23.840473, 24.453935, 25.782999, 28.183361, 28.303392, 29.655036, 31.835305, 32.029195, 32.723041, 227.550250], [46.043963, 53.501152, 57.379871, 60.335349, 62.223972, 62.511414, 64.209901, 64.673380, 73.051146, 267.696092], [36.399269, 39.559964, 40.004430, 43.284529, 43.772721, 44.120106, 46.222065, 46.946493, 52.597945, 133.582783]]
### 4
fourier: [[20.936490, 21.070933, 21.719293, 22.052570, 22.813509, 22.874962, 24.095461, 25.587915, 31.697940, 125.911938], [30.651210, 32.873071, 37.355795, 37.746714, 38.948377, 38.988166, 39.301410, 39.970975, 46.781640, 121.930005], [4.763711, 4.830949, 4.831459, 4.901614, 4.929460, 4.988141, 5.100038, 5.655266, 6.652689, 40.147801], [54.821241, 57.944000, 64.420549, 69.090005, 71.348589, 71.419275, 72.468245, 72.844351, 72.904651, 312.051331], [20.010614, 22.332496, 24.211936, 25.923610, 26.995392, 27.362055, 27.506869, 28.447961, 28.524703, 110.069311]]
### 6
fourier: [[14.326454, 15.361027, 15.467716, 15.565467, 15.610474, 15.926861, 16.093992, 17.848831, 22.072540, 74.757665], [9.039253, 9.364215, 9.545420, 10.564992, 10.750009, 10.754186, 10.764238, 10.940594, 11.817585, 33.723504], [36.803700, 40.918222, 43.230495, 46.735710, 48.515132, 48.862796, 49.005327, 49.439145, 50.977878, 251.180489], [46.981867, 54.914183, 54.963774, 60.330966, 62.198027, 62.616781, 63.676715, 63.806031, 68.359257, 301.853756], [26.633095, 28.030472, 32.893033, 33.058043, 33.571402, 35.076951, 35.966177, 36.558803, 36.788825, 295.521746]]
### 8
fourier: [[9.095078, 9.776298, 9.926008, 10.006063, 10.935687, 11.033979, 11.173575, 11.302074, 14.200025, 79.640584], [46.685697, 53.022486, 54.890576, 59.039327, 61.784896, 61.808914, 62.753114, 63.240392, 65.681962, 289.610708], [59.102664, 69.430063, 69.820292, 75.809204, 78.562277, 79.119526, 80.398648, 80.855958, 86.526029, 415.278472], [32.171953, 37.775198, 38.329576, 41.597967, 42.849753, 43.303677, 43.903783, 43.919385, 47.422594, 211.281730], [25.606504, 30.031130, 30.765341, 32.825688, 33.993937, 34.214324, 34.926464, 35.356906, 38.245200, 153.139597]]
### 10
fourier: [[54.450238, 62.137034, 63.973996, 68.223707, 71.323401, 71.816214, 72.931924, 74.355822, 76.855616, 352.949549]]
## 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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.29325, 0.37032, -0.197333, -0.189232, -0.173506], [0.555013, 0.329754, -0.317464, -0.165443, 0.620152], [1.86044, 0.678069, -0.033898, 0.07189, -0.054208], [-0.600855, -1.284218, -1.166924, -1.244195, -0.503955], [-1.732405, -0.780823, 0.343555, 0.597608, -0.356224]], "network.0.bias": [0.403634, -0.313546, 0.003936, -0.460151, 0.536198], "network.2.weight": [[-0.774483, -0.679818, -0.175917, 0.016229, 0.3788], [0.419669, -0.30966, -0.370719, 0.59962, 0.446439], [-1.287535, -0.137631, -0.192811, 0.832166, -0.458934], [0.041662, 0.805094, 0.566592, -0.36514, -0.761672], [0.354764, 0.284295, 0.411011, -0.449675, -0.886973]], "network.2.bias": [-0.491416, 0.02799, -0.717388, 0.665449, 0.170175], "network.4.weight": [[-0.571427, -1.25988, -0.616346, 0.119543, 0.353394], [0.37806, 1.032608, 0.112756, -0.443341, -0.257812], [0.153509, 0.058181, 0.206556, -0.198232, 0.171308], [0.057612, -0.337787, -0.380031, 0.704825, 0.623403], [-0.011143, 0.090875, 0.394334, -0.493528, 0.092625]], "network.4.bias": [0.496132, 0.367956, -0.138485, 0.170573, 0.150075], "network.6.weight": [[-0.086391, -0.729215, -0.459082, 0.23327, -0.220036], [-0.192662, 0.916192, 0.543381, 0.03499, 0.728177], [0.347598, -0.221857, 0.12218, 0.56006, 0.146669], [0.396137, -0.506438, -0.183435, 0.738235, -0.456797], [-0.731101, -0.465625, -0.039344, -0.261006, 0.224541]], "network.6.bias": [0.261089, -0.345468, 0.430052, 0.323183, -1.222049], "network.8.weight": [[-0.077703, 0.395278, -0.195296, 0.000391, 0.892602], [0.078825, -0.23855, 0.446754, 0.613348, -0.7092], [0.437797, -0.615694, 0.456603, 0.784251, -0.42578], [0.159054, 0.382213, -0.253884, -0.525288, 0.200597], [0.721204, -0.324294, 0.034141, 0.334426, -0.321741]], "network.8.bias": [-0.261787, -0.163079, 0.34135, -0.016122, -0.141908], "network.10.weight": [[0.197632, -0.429317, -0.656076, 0.605297, 0.192114]], "network.10.bias": [0.190538]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023171782493591, "train_acc": 0.47, "val_loss": 0.6987830996513367, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6744683086872101, "train_acc": 0.58, "val_loss": 0.6947177052497864, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6661838591098785, "train_acc": 0.58, "val_loss": 0.6835557818412781, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5993699431419373, "train_acc": 0.58, "val_loss": 0.6199447512626648, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5325936675071716, "train_acc": 0.575, "val_loss": 0.3927401602268219, "val_acc": 0.84}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4765913486480713, "train_acc": 0.79, "val_loss": 0.5924939513206482, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5273843556642532, "train_acc": 0.825, "val_loss": 0.38212546706199646, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.3688642978668213, "train_acc": 0.81, "val_loss": 0.469183087348938, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.42089565098285675, "train_acc": 0.81, "val_loss": 0.4853670001029968, "val_acc": 0.74}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3902839720249176, "train_acc": 0.85, "val_loss": 0.38275742530822754, "val_acc": 0.88}], "summary": {"total_epochs": 10, "degraded_epochs": 4, "improved_epochs": 6, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.6987830996513367, "final_val_loss": 0.6199447512626648, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.3927401602268219, "final_val_loss": 0.38275742530822754, "initial_val_acc": 0.84, "final_val_acc": 0.88, "best_val_acc": 0.88, "best_epoch": 9}, "improvement": 0.44, "first_improvement_epoch": 3}}
|
355
|
{"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.98, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6212, "learning_rate": 0.08942211883064388, "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: 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: [[20.805881, 21.501160, 23.348722, 25.033551, 25.168789, 25.500612, 25.648426, 26.372799, 26.898446, 52.046232], [25.855723, 26.643596, 26.653425, 30.350465, 31.222983, 31.982331, 32.209927, 35.367142, 39.769089, 146.637198], [32.596399, 36.452835, 38.234552, 43.719924, 45.550861, 48.592768, 52.103304, 57.486294, 65.110570, 239.165800], [28.927058, 29.328793, 42.179847, 43.901576, 46.055453, 53.003955, 53.659593, 54.085100, 55.267668, 211.804649], [23.461073, 23.530054, 23.626094, 24.297099, 26.835889, 28.921267, 29.064390, 32.375936, 33.339065, 145.199920], [24.312936, 24.538334, 26.202528, 26.566707, 27.252978, 27.625278, 29.374797, 30.934392, 33.685767, 33.739929], [23.819220, 24.182308, 25.435491, 26.968423, 27.995542, 31.715338, 32.791756, 33.705488, 36.907854, 37.040172], [21.324290, 21.684969, 24.438882, 25.180004, 25.535936, 25.761872, 27.102631, 27.148636, 28.881669, 44.214278]]
### 2
fourier: [[17.885734, 18.621391, 18.690749, 18.698009, 18.719229, 18.954673, 19.707493, 20.752463, 29.503497, 208.419247], [22.979601, 23.489277, 23.994446, 24.464945, 25.362601, 27.423725, 27.814973, 30.728728, 36.235240, 174.880759], [19.129132, 20.056940, 20.209263, 22.048575, 22.511973, 22.920543, 24.053708, 25.190116, 33.276933, 221.670430], [19.569527, 20.296828, 20.439296, 21.871851, 25.022609, 26.572510, 28.340679, 30.870181, 33.688985, 197.096137], [24.489591, 24.909398, 26.040203, 26.361926, 27.774867, 28.272884, 34.214133, 34.630416, 37.598912, 215.415594], [16.972561, 17.604761, 17.823661, 18.831881, 21.973534, 22.315975, 25.611759, 26.271994, 30.307455, 128.880057], [10.176238, 11.091124, 11.283350, 11.426028, 11.927072, 14.151376, 15.685827, 16.395546, 16.801756, 46.875056], [24.081964, 24.842189, 25.532300, 26.466769, 27.018251, 27.311509, 31.222852, 34.349038, 38.129920, 190.574830]]
### 4
fourier: [[35.383939, 36.239879, 37.180446, 38.601522, 41.640860, 44.225860, 50.367040, 52.780653, 55.601701, 179.923259], [32.466467, 35.744377, 37.057071, 37.078387, 37.102247, 39.976335, 45.604312, 48.946531, 51.250745, 224.589766], [20.410646, 20.984684, 22.745988, 23.666635, 23.890755, 24.393525, 29.018975, 29.037922, 29.616432, 111.366836], [14.937006, 15.134503, 16.273031, 17.143815, 17.229811, 18.737730, 19.196615, 19.444909, 20.522088, 24.048455], [13.243645, 13.498171, 13.765517, 14.650771, 15.986606, 16.196446, 17.089740, 19.547041, 22.390553, 77.536396], [27.808432, 28.212870, 29.593162, 30.662563, 31.287887, 33.607053, 40.286583, 41.360261, 41.503571, 189.851403], [37.661994, 37.990384, 40.266360, 41.839362, 42.473015, 45.782640, 53.989391, 56.171542, 56.724628, 234.920333], [26.192055, 27.093558, 27.698054, 28.146394, 30.339750, 32.048948, 38.074318, 38.439026, 40.725583, 141.567180]]
### 6
fourier: [[23.536946, 23.559937, 26.793452, 28.247054, 28.559629, 31.927155, 32.257582, 35.181201, 41.332008, 102.994058], [10.976076, 11.012961, 11.236178, 11.260895, 11.410440, 11.658441, 15.148707, 15.148778, 15.381095, 153.744729], [41.122334, 42.681734, 45.459031, 47.523350, 48.634327, 49.247676, 51.376824, 57.623725, 64.682215, 70.945867], [16.370143, 16.518992, 17.434872, 17.605769, 18.101531, 19.926518, 20.383081, 22.412251, 27.565640, 171.372384], [28.897667, 31.379356, 31.462135, 32.335100, 33.147577, 36.283104, 41.016347, 42.186699, 42.334129, 140.396382], [28.743332, 29.224350, 31.947507, 32.393151, 32.819342, 35.264189, 40.866769, 42.056401, 42.693451, 121.215376], [37.027447, 38.889693, 39.589967, 42.051373, 42.845934, 43.313035, 45.092982, 49.941625, 56.944745, 62.851961], [39.456793, 41.414023, 41.679191, 43.217338, 44.063526, 49.942670, 50.885471, 59.237807, 62.130112, 107.265306]]
### 8
fourier: [[37.646648, 38.946340, 42.871816, 43.518176, 45.071841, 45.301777, 48.420366, 52.376084, 59.165957, 63.843824], [8.967539, 9.420914, 9.618511, 9.923400, 10.128725, 10.612271, 11.897374, 12.224772, 14.052863, 117.621778], [24.484262, 27.051787, 27.661703, 28.993675, 29.442467, 29.718141, 33.421841, 37.970700, 38.992596, 41.445654], [18.596546, 19.431593, 19.546454, 19.961376, 20.274449, 20.707684, 23.500920, 28.189190, 29.501649, 225.153361], [40.193442, 42.784908, 48.018792, 49.322072, 49.599596, 50.071444, 53.454529, 59.927363, 66.612063, 72.784908], [35.776464, 41.463206, 41.892170, 42.156902, 43.580836, 44.108009, 50.215413, 56.406109, 58.769803, 59.910343], [46.141248, 46.507199, 48.661103, 50.308842, 51.283160, 55.144394, 60.003184, 67.203384, 68.395893, 75.451358], [10.755447, 10.764378, 10.998929, 11.147877, 13.133250, 13.820032, 15.019634, 16.466151, 16.695006, 183.326151]]
### 10
fourier: [[38.678756, 39.549907, 43.208809, 45.073705, 45.405870, 47.520855, 50.230505, 55.080601, 60.407783, 68.587246], [16.863054, 18.230342, 19.396083, 19.804881, 20.282305, 20.472757, 21.733850, 23.589175, 25.733294, 28.752091], [34.134423, 35.534359, 38.875326, 39.139810, 40.377116, 41.349429, 42.786854, 47.101992, 51.642912, 57.789576], [7.714616, 7.723981, 8.354472, 8.703885, 8.860528, 9.479227, 10.062679, 10.438176, 11.452325, 60.112849], [60.308061, 62.720740, 67.605091, 70.799094, 70.872273, 77.566024, 81.758200, 89.223303, 103.434765, 156.378631], [10.851843, 10.945744, 11.430572, 12.857123, 12.861829, 12.985110, 14.748494, 15.280220, 16.764929, 19.711129], [64.689374, 69.107540, 71.425560, 74.889128, 75.031311, 78.248521, 82.685300, 90.867786, 99.538707, 113.246020], [18.468342, 18.633188, 19.169945, 19.269337, 19.328070, 21.941755, 23.555736, 24.093948, 26.602809, 132.631287]]
### 12
fourier: [[55.463997, 56.709149, 56.804993, 59.043874, 64.260929, 68.176003, 74.103462, 79.636761, 92.696166, 108.345171]]
## 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: 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: [[20.805881, 21.501160, 23.348722, 25.033551, 25.168789, 25.500612, 25.648426, 26.372799, 26.898446, 52.046232], [25.855723, 26.643596, 26.653425, 30.350465, 31.222983, 31.982331, 32.209927, 35.367142, 39.769089, 146.637198], [32.596399, 36.452835, 38.234552, 43.719924, 45.550861, 48.592768, 52.103304, 57.486294, 65.110570, 239.165800], [28.927058, 29.328793, 42.179847, 43.901576, 46.055453, 53.003955, 53.659593, 54.085100, 55.267668, 211.804649], [23.461073, 23.530054, 23.626094, 24.297099, 26.835889, 28.921267, 29.064390, 32.375936, 33.339065, 145.199920], [24.312936, 24.538334, 26.202528, 26.566707, 27.252978, 27.625278, 29.374797, 30.934392, 33.685767, 33.739929], [23.819220, 24.182308, 25.435491, 26.968423, 27.995542, 31.715338, 32.791756, 33.705488, 36.907854, 37.040172], [21.324290, 21.684969, 24.438882, 25.180004, 25.535936, 25.761872, 27.102631, 27.148636, 28.881669, 44.214278]]
### 2
fourier: [[17.885734, 18.621391, 18.690749, 18.698009, 18.719229, 18.954673, 19.707493, 20.752463, 29.503497, 208.419247], [22.979601, 23.489277, 23.994446, 24.464945, 25.362601, 27.423725, 27.814973, 30.728728, 36.235240, 174.880759], [19.129132, 20.056940, 20.209263, 22.048575, 22.511973, 22.920543, 24.053708, 25.190116, 33.276933, 221.670430], [19.569527, 20.296828, 20.439296, 21.871851, 25.022609, 26.572510, 28.340679, 30.870181, 33.688985, 197.096137], [24.489591, 24.909398, 26.040203, 26.361926, 27.774867, 28.272884, 34.214133, 34.630416, 37.598912, 215.415594], [16.972561, 17.604761, 17.823661, 18.831881, 21.973534, 22.315975, 25.611759, 26.271994, 30.307455, 128.880057], [10.176238, 11.091124, 11.283350, 11.426028, 11.927072, 14.151376, 15.685827, 16.395546, 16.801756, 46.875056], [24.081964, 24.842189, 25.532300, 26.466769, 27.018251, 27.311509, 31.222852, 34.349038, 38.129920, 190.574830]]
### 4
fourier: [[35.383939, 36.239879, 37.180446, 38.601522, 41.640860, 44.225860, 50.367040, 52.780653, 55.601701, 179.923259], [32.466467, 35.744377, 37.057071, 37.078387, 37.102247, 39.976335, 45.604312, 48.946531, 51.250745, 224.589766], [20.410646, 20.984684, 22.745988, 23.666635, 23.890755, 24.393525, 29.018975, 29.037922, 29.616432, 111.366836], [14.937006, 15.134503, 16.273031, 17.143815, 17.229811, 18.737730, 19.196615, 19.444909, 20.522088, 24.048455], [13.243645, 13.498171, 13.765517, 14.650771, 15.986606, 16.196446, 17.089740, 19.547041, 22.390553, 77.536396], [27.808432, 28.212870, 29.593162, 30.662563, 31.287887, 33.607053, 40.286583, 41.360261, 41.503571, 189.851403], [37.661994, 37.990384, 40.266360, 41.839362, 42.473015, 45.782640, 53.989391, 56.171542, 56.724628, 234.920333], [26.192055, 27.093558, 27.698054, 28.146394, 30.339750, 32.048948, 38.074318, 38.439026, 40.725583, 141.567180]]
### 6
fourier: [[23.536946, 23.559937, 26.793452, 28.247054, 28.559629, 31.927155, 32.257582, 35.181201, 41.332008, 102.994058], [10.976076, 11.012961, 11.236178, 11.260895, 11.410440, 11.658441, 15.148707, 15.148778, 15.381095, 153.744729], [41.122334, 42.681734, 45.459031, 47.523350, 48.634327, 49.247676, 51.376824, 57.623725, 64.682215, 70.945867], [16.370143, 16.518992, 17.434872, 17.605769, 18.101531, 19.926518, 20.383081, 22.412251, 27.565640, 171.372384], [28.897667, 31.379356, 31.462135, 32.335100, 33.147577, 36.283104, 41.016347, 42.186699, 42.334129, 140.396382], [28.743332, 29.224350, 31.947507, 32.393151, 32.819342, 35.264189, 40.866769, 42.056401, 42.693451, 121.215376], [37.027447, 38.889693, 39.589967, 42.051373, 42.845934, 43.313035, 45.092982, 49.941625, 56.944745, 62.851961], [39.456793, 41.414023, 41.679191, 43.217338, 44.063526, 49.942670, 50.885471, 59.237807, 62.130112, 107.265306]]
### 8
fourier: [[37.646648, 38.946340, 42.871816, 43.518176, 45.071841, 45.301777, 48.420366, 52.376084, 59.165957, 63.843824], [8.967539, 9.420914, 9.618511, 9.923400, 10.128725, 10.612271, 11.897374, 12.224772, 14.052863, 117.621778], [24.484262, 27.051787, 27.661703, 28.993675, 29.442467, 29.718141, 33.421841, 37.970700, 38.992596, 41.445654], [18.596546, 19.431593, 19.546454, 19.961376, 20.274449, 20.707684, 23.500920, 28.189190, 29.501649, 225.153361], [40.193442, 42.784908, 48.018792, 49.322072, 49.599596, 50.071444, 53.454529, 59.927363, 66.612063, 72.784908], [35.776464, 41.463206, 41.892170, 42.156902, 43.580836, 44.108009, 50.215413, 56.406109, 58.769803, 59.910343], [46.141248, 46.507199, 48.661103, 50.308842, 51.283160, 55.144394, 60.003184, 67.203384, 68.395893, 75.451358], [10.755447, 10.764378, 10.998929, 11.147877, 13.133250, 13.820032, 15.019634, 16.466151, 16.695006, 183.326151]]
### 10
fourier: [[38.678756, 39.549907, 43.208809, 45.073705, 45.405870, 47.520855, 50.230505, 55.080601, 60.407783, 68.587246], [16.863054, 18.230342, 19.396083, 19.804881, 20.282305, 20.472757, 21.733850, 23.589175, 25.733294, 28.752091], [34.134423, 35.534359, 38.875326, 39.139810, 40.377116, 41.349429, 42.786854, 47.101992, 51.642912, 57.789576], [7.714616, 7.723981, 8.354472, 8.703885, 8.860528, 9.479227, 10.062679, 10.438176, 11.452325, 60.112849], [60.308061, 62.720740, 67.605091, 70.799094, 70.872273, 77.566024, 81.758200, 89.223303, 103.434765, 156.378631], [10.851843, 10.945744, 11.430572, 12.857123, 12.861829, 12.985110, 14.748494, 15.280220, 16.764929, 19.711129], [64.689374, 69.107540, 71.425560, 74.889128, 75.031311, 78.248521, 82.685300, 90.867786, 99.538707, 113.246020], [18.468342, 18.633188, 19.169945, 19.269337, 19.328070, 21.941755, 23.555736, 24.093948, 26.602809, 132.631287]]
### 12
fourier: [[55.463997, 56.709149, 56.804993, 59.043874, 64.260929, 68.176003, 74.103462, 79.636761, 92.696166, 108.345171]]
## 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": 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": [[0.571388, 0.240053, -0.332617, -0.306597, -0.437468], [-0.6412, -0.172755, 0.67044, 0.698502, -0.112732], [-0.784883, 0.374851, -0.375183, 0.087634, -0.983239], [-0.380552, 0.076698, -0.649248, 0.161929, -1.032892], [-0.122074, -0.181887, -0.784578, 0.131583, 0.350017], [0.272792, 0.035793, 0.623474, -0.00122, -0.820903], [0.382686, 0.500129, 0.294152, -0.420843, -0.696907], [-0.711075, 0.050888, 0.0701, -0.103787, 0.646346]], "network.0.bias": [0.165044, -0.0173, -0.555265, 0.263289, -0.204944, -0.348289, -0.161897, -0.42013], "network.2.weight": [[-0.138341, -0.670008, -0.358414, 0.153666, 0.000492, -0.376663, -0.334797, 0.108715], [-0.264258, -0.894694, -0.167868, -0.002206, 0.109281, -0.412421, -0.61829, -0.504094], [0.238211, -0.7735, 0.268414, -0.198263, -0.254804, -0.456735, -0.387515, -0.044557], [-0.241087, -0.521646, -0.109405, -0.300067, -0.880626, -0.336902, -0.866732, 0.042738], [0.517733, 0.660641, -0.149291, -0.078051, 0.497043, 0.575789, 0.647263, 0.764252], [-0.309979, -0.116236, 0.017737, 0.389754, 0.018025, -0.288254, -0.738642, -0.338632], [0.164578, 0.12391, 0.440171, 0.579287, -0.604622, -0.555271, 0.172175, -0.685633], [0.310641, 0.749037, 0.25046, -0.081372, 0.430052, 0.744375, 0.494421, 0.345632]], "network.2.bias": [-0.57468, 0.624289, -0.498004, -0.263884, -0.061177, -0.324265, 0.712762, -0.356725], "network.4.weight": [[-1.052004, 0.89797, -0.899416, 0.22577, -0.41994, -0.186771, 0.767848, -0.907755], [0.410393, 0.156882, 0.120088, 0.590745, 0.761183, -0.01827, -0.746569, 0.49595], [-0.194022, -0.28743, -0.534832, -0.634839, 0.504415, -0.163091, -0.684157, 0.22255], [-0.902522, 0.407332, -0.792812, 0.229461, -0.056064, -0.494973, 1.079656, -0.255062], [-0.47114, 0.086754, -0.553916, -0.574602, 0.144181, -0.489449, 0.204618, -0.654394], [-0.038285, 0.503468, -0.016321, -0.099628, -0.601531, -0.228194, 0.523025, -0.457498], [-0.041573, 0.83541, -0.036975, -0.146022, -0.838178, -0.09617, 0.74342, -0.583538], [-0.562439, 0.346398, -0.713689, -0.053177, -0.419122, -0.138777, 0.368404, -0.611751]], "network.4.bias": [0.34916, 0.056089, -0.145606, 0.196801, -0.044952, -0.036679, 0.159598, 0.429672], "network.6.weight": [[1.079923, 0.196866, -0.548903, 0.834282, 0.071939, 0.29711, 0.516743, 0.684952], [0.211915, -0.384258, 0.038344, -0.280058, -0.259615, 0.106299, -0.091005, 0.083746], [-0.965705, 0.437405, 0.36133, -0.983665, -0.308747, -0.778515, -0.46258, -1.271284], [0.056809, -0.302743, -0.371491, 0.229808, 0.598913, -0.190498, -0.752829, -0.189319], [0.384386, -0.759414, -0.025637, 0.457352, -0.605577, 0.064934, -0.26937, 0.146281], [0.597622, -0.384811, -0.664988, 0.31717, -0.461822, 0.047902, -0.2456, 0.101919], [-0.890478, 0.430715, 0.317778, -0.625782, -0.487233, -0.612605, -0.570653, -0.953266], [0.922229, -0.774398, -0.245359, 0.352353, -0.544391, 0.246389, 0.089856, 0.64209]], "network.6.bias": [0.131013, -0.69504, 0.240261, -0.493482, 0.092651, 0.190016, -0.245222, 0.393035], "network.8.weight": [[0.426702, -0.368661, -0.274771, -0.243976, 0.337849, 0.178326, -0.90686, 0.447176], [0.064053, 0.297724, -0.03038, 0.265945, 0.249125, -0.073157, 0.042577, -0.649846], [0.400976, -0.667859, 0.037387, -0.392604, 0.037809, -0.03439, -0.705728, 0.342853], [-0.270079, -0.121491, -0.604798, -0.346397, -0.462823, -0.315086, -0.510003, 0.023476], [-0.418195, -0.240519, 0.736275, -0.468589, -0.753399, -0.810295, 0.19094, -0.604738], [0.200674, -0.739827, 0.765733, 0.413224, -1.02887, -1.078176, 0.185423, -0.780497], [0.976461, -0.01389, -0.328489, 0.069407, -0.182595, 0.04166, -0.560075, 0.600651], [-0.107099, -0.01776, -0.37702, 0.213021, -0.201276, -0.552299, -0.271142, -0.073631]], "network.8.bias": [0.518468, -0.803088, 0.468062, -0.066219, 0.181535, 0.118593, 0.415227, -0.434694], "network.10.weight": [[-0.574366, -0.507465, -0.327643, 0.175674, 0.768339, 0.127072, -0.203604, 0.046191], [0.476441, -0.218018, 0.552844, -0.293435, -0.197419, -0.28771, -0.35049, -0.514869], [0.465471, -0.256359, 0.606221, -0.222358, -0.250886, -0.78525, -0.127864, -0.646434], [-0.207449, -0.156804, 0.003254, 0.042079, 0.173426, -0.255357, -0.108254, -0.087051], [-0.72336, 0.070856, -0.625125, -0.868461, 0.321062, 0.29194, -0.757649, -0.36396], [0.125908, -0.199182, 0.416138, -0.353394, 0.579416, -0.376501, -0.554952, 0.108795], [0.646212, -0.829366, 0.719037, -0.489053, -1.014264, -0.474338, 0.476107, -0.815322], [-0.181358, -0.195789, -0.082031, 0.025697, 0.518561, 0.242205, 0.0953, -0.392939]], "network.10.bias": [-0.238972, 0.246147, 0.514089, -0.048356, 0.194412, 0.039888, 0.77962, 0.15849], "network.12.weight": [[-0.377461, -0.086933, 0.347031, -0.072842, -0.363882, -0.150663, 0.774173, -0.235806]], "network.12.bias": [0.026668]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6887690126895905, "train_acc": 0.5, "val_loss": 0.6971789598464966, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6753524839878082, "train_acc": 0.575, "val_loss": 0.5731093287467957, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6855239272117615, "train_acc": 0.585, "val_loss": 0.6183297038078308, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.6368165016174316, "train_acc": 0.63, "val_loss": 0.5504776239395142, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.5100227296352386, "train_acc": 0.83, "val_loss": 0.36637961864471436, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2890201285481453, "train_acc": 0.925, "val_loss": 0.23350286483764648, "val_acc": 0.98}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3455941192805767, "train_acc": 0.955, "val_loss": 0.2530897557735443, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.1841503381729126, "train_acc": 0.925, "val_loss": 0.2700205445289612, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.22240640223026276, "train_acc": 0.915, "val_loss": 0.37113532423973083, "val_acc": 0.76}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6971789598464966, "final_val_loss": 0.5731093287467957, "initial_val_acc": 0.54, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.6183297038078308, "final_val_loss": 0.37113532423973083, "initial_val_acc": 0.54, "final_val_acc": 0.76, "best_val_acc": 0.98, "best_epoch": 5}, "improvement": 0.33999999999999997, "first_improvement_epoch": 1}}
|
356
|
{"target_pattern": "alternating", "degraded_accuracy": 0.4, "improved_accuracy": 0.98, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3423, "learning_rate": 0.080336264187182, "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: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.4.weight": [
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"network.10.bias": [
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"network.12.weight": [
[
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],
"network.12.bias": [
1.024858
]
}
## Activation Signature
### 0
fourier: [[16.428627, 16.548490, 16.899017, 18.683478, 18.761787, 18.836133, 18.939599, 19.693056, 24.127682, 172.234501], [65.963062, 66.395632, 68.465055, 69.892115, 71.249429, 79.211559, 79.541025, 85.518472, 95.247601, 449.183935], [30.387482, 33.034670, 33.149375, 34.270346, 36.484049, 37.130070, 37.698935, 40.227761, 40.746734, 93.192584], [70.021955, 77.149714, 79.643227, 83.648624, 91.753864, 105.896925, 107.574697, 110.415600, 116.303948, 492.281301], [23.760885, 23.935193, 25.775175, 26.589988, 28.139733, 31.209292, 31.422118, 33.689980, 35.362028, 37.735755], [20.590745, 20.984626, 23.995018, 24.005919, 25.349426, 25.720258, 28.026520, 28.482494, 30.289577, 30.434601], [63.195639, 66.082221, 67.181682, 67.489528, 71.706818, 71.838326, 77.515405, 85.100708, 93.217852, 484.550525]]
### 2
fourier: [[23.636644, 23.983255, 24.278235, 24.972063, 27.340533, 28.943598, 33.034858, 33.833885, 41.703017, 46.182908], [13.856044, 14.135846, 14.883002, 14.905185, 14.908153, 15.099142, 19.938613, 20.499582, 28.292484, 203.790476], [19.522799, 20.770633, 21.942227, 23.920928, 24.393259, 24.834706, 25.437897, 25.637947, 35.661312, 110.360856], [25.309635, 25.750277, 26.900052, 27.072012, 31.134713, 31.460000, 35.124685, 36.408284, 38.080132, 162.311103], [22.646721, 22.953787, 24.650386, 26.210585, 27.244119, 34.053227, 34.459357, 37.711511, 41.290467, 46.749198], [20.891995, 21.121404, 21.484604, 21.936081, 22.611909, 25.025842, 26.265298, 32.343900, 36.353071, 42.156835], [9.804608, 10.636329, 10.698324, 11.280578, 12.121358, 12.619886, 13.441133, 13.994886, 21.984809, 147.768594]]
### 4
fourier: [[27.469513, 27.620523, 28.679115, 31.307084, 33.761839, 38.852898, 39.976043, 40.837934, 41.461241, 153.887533], [9.552461, 9.586238, 9.834053, 10.541806, 10.675374, 11.240490, 11.754085, 14.784492, 15.880084, 86.440751], [21.929070, 22.304204, 23.064278, 24.766830, 26.151456, 29.051584, 30.891691, 32.209779, 34.697060, 88.613924], [5.160940, 5.444379, 5.541582, 5.679230, 6.072414, 6.258630, 7.472961, 7.953149, 8.439889, 89.520231], [9.192522, 9.577317, 9.830314, 10.410901, 10.687031, 10.928458, 13.004171, 13.744383, 14.617873, 119.919120], [9.280362, 10.414949, 10.788376, 10.997779, 11.219675, 11.337508, 12.187066, 13.060646, 13.552711, 88.152195], [19.848747, 19.927999, 20.176652, 20.437556, 20.935887, 21.142522, 25.694491, 26.562162, 32.888927, 48.805581]]
### 6
fourier: [[34.184675, 35.975779, 39.021731, 40.053727, 45.510261, 45.801543, 54.002284, 57.058752, 61.500647, 187.568828], [17.804870, 19.684553, 20.163902, 20.940740, 21.446954, 23.590911, 26.372111, 31.562492, 32.277245, 89.031703], [1.166032, 1.219344, 1.224072, 1.252662, 1.342840, 1.425270, 1.513652, 1.583939, 1.599081, 16.168951], [3.825377, 3.828158, 3.872574, 3.979681, 4.485766, 4.856929, 5.518010, 5.727465, 7.891989, 59.603810], [6.541599, 6.653895, 6.709505, 6.773458, 6.858366, 8.082750, 8.911528, 10.655888, 12.058969, 77.497940], [29.768540, 32.637043, 33.408703, 34.592245, 35.976908, 39.326851, 43.711331, 53.228190, 53.720964, 175.266598], [14.538288, 14.773946, 16.303771, 17.007139, 18.601535, 18.802539, 21.298900, 26.416395, 28.796031, 183.314465]]
### 8
fourier: [[35.645688, 36.374739, 42.453649, 43.508239, 47.046537, 47.760954, 52.384239, 67.224751, 68.226808, 255.402287], [20.083224, 20.466314, 24.002280, 24.588214, 26.531530, 26.947397, 29.623737, 37.945316, 38.343709, 170.409360], [41.104868, 41.821965, 49.274903, 50.399625, 54.404977, 55.269549, 60.722074, 77.779861, 78.440417, 336.849950], [11.480349, 11.707129, 13.689711, 14.019464, 15.165404, 15.396737, 16.878726, 21.663983, 21.973033, 96.036358], [0.737447, 0.818195, 0.827622, 0.829553, 0.864014, 0.963097, 1.211977, 1.213177, 1.358948, 28.140867], [50.215252, 51.253359, 59.828228, 61.373899, 66.221936, 67.242884, 73.934916, 94.729279, 95.948472, 377.316686], [43.469455, 44.020784, 52.007882, 53.097837, 57.444700, 58.353602, 63.941697, 82.023547, 82.768473, 312.492143]]
### 10
fourier: [[37.507152, 38.284382, 44.686598, 45.842520, 49.430254, 50.185136, 55.237981, 70.747832, 71.619480, 277.373353], [78.734457, 80.293888, 93.940791, 96.297723, 103.782718, 105.355241, 116.066353, 148.602892, 150.196854, 567.496218], [8.818423, 9.020950, 10.473310, 10.763537, 11.568447, 11.737400, 12.981438, 16.600462, 16.803173, 93.255223], [21.459059, 21.887602, 25.598548, 26.244092, 28.264403, 28.688499, 31.638956, 40.493467, 40.910875, 186.723957], [63.054711, 64.273058, 75.292224, 77.149905, 83.090875, 84.337300, 93.015016, 119.040715, 120.174010, 441.170454], [48.652368, 49.606394, 58.065090, 59.512486, 64.154707, 65.130167, 71.724540, 91.842116, 92.825818, 358.797288], [9.852326, 10.123253, 11.615402, 11.982214, 12.926450, 13.126614, 14.424365, 18.491203, 18.886896, 100.139448]]
### 12
fourier: [[78.601129, 80.337169, 93.668651, 96.211742, 103.252262, 104.787786, 116.114290, 148.254221, 149.401061, 472.158636]]
## 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: 6
Neurons per Layer: 7
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: [[16.428627, 16.548490, 16.899017, 18.683478, 18.761787, 18.836133, 18.939599, 19.693056, 24.127682, 172.234501], [65.963062, 66.395632, 68.465055, 69.892115, 71.249429, 79.211559, 79.541025, 85.518472, 95.247601, 449.183935], [30.387482, 33.034670, 33.149375, 34.270346, 36.484049, 37.130070, 37.698935, 40.227761, 40.746734, 93.192584], [70.021955, 77.149714, 79.643227, 83.648624, 91.753864, 105.896925, 107.574697, 110.415600, 116.303948, 492.281301], [23.760885, 23.935193, 25.775175, 26.589988, 28.139733, 31.209292, 31.422118, 33.689980, 35.362028, 37.735755], [20.590745, 20.984626, 23.995018, 24.005919, 25.349426, 25.720258, 28.026520, 28.482494, 30.289577, 30.434601], [63.195639, 66.082221, 67.181682, 67.489528, 71.706818, 71.838326, 77.515405, 85.100708, 93.217852, 484.550525]]
### 2
fourier: [[23.636644, 23.983255, 24.278235, 24.972063, 27.340533, 28.943598, 33.034858, 33.833885, 41.703017, 46.182908], [13.856044, 14.135846, 14.883002, 14.905185, 14.908153, 15.099142, 19.938613, 20.499582, 28.292484, 203.790476], [19.522799, 20.770633, 21.942227, 23.920928, 24.393259, 24.834706, 25.437897, 25.637947, 35.661312, 110.360856], [25.309635, 25.750277, 26.900052, 27.072012, 31.134713, 31.460000, 35.124685, 36.408284, 38.080132, 162.311103], [22.646721, 22.953787, 24.650386, 26.210585, 27.244119, 34.053227, 34.459357, 37.711511, 41.290467, 46.749198], [20.891995, 21.121404, 21.484604, 21.936081, 22.611909, 25.025842, 26.265298, 32.343900, 36.353071, 42.156835], [9.804608, 10.636329, 10.698324, 11.280578, 12.121358, 12.619886, 13.441133, 13.994886, 21.984809, 147.768594]]
### 4
fourier: [[27.469513, 27.620523, 28.679115, 31.307084, 33.761839, 38.852898, 39.976043, 40.837934, 41.461241, 153.887533], [9.552461, 9.586238, 9.834053, 10.541806, 10.675374, 11.240490, 11.754085, 14.784492, 15.880084, 86.440751], [21.929070, 22.304204, 23.064278, 24.766830, 26.151456, 29.051584, 30.891691, 32.209779, 34.697060, 88.613924], [5.160940, 5.444379, 5.541582, 5.679230, 6.072414, 6.258630, 7.472961, 7.953149, 8.439889, 89.520231], [9.192522, 9.577317, 9.830314, 10.410901, 10.687031, 10.928458, 13.004171, 13.744383, 14.617873, 119.919120], [9.280362, 10.414949, 10.788376, 10.997779, 11.219675, 11.337508, 12.187066, 13.060646, 13.552711, 88.152195], [19.848747, 19.927999, 20.176652, 20.437556, 20.935887, 21.142522, 25.694491, 26.562162, 32.888927, 48.805581]]
### 6
fourier: [[34.184675, 35.975779, 39.021731, 40.053727, 45.510261, 45.801543, 54.002284, 57.058752, 61.500647, 187.568828], [17.804870, 19.684553, 20.163902, 20.940740, 21.446954, 23.590911, 26.372111, 31.562492, 32.277245, 89.031703], [1.166032, 1.219344, 1.224072, 1.252662, 1.342840, 1.425270, 1.513652, 1.583939, 1.599081, 16.168951], [3.825377, 3.828158, 3.872574, 3.979681, 4.485766, 4.856929, 5.518010, 5.727465, 7.891989, 59.603810], [6.541599, 6.653895, 6.709505, 6.773458, 6.858366, 8.082750, 8.911528, 10.655888, 12.058969, 77.497940], [29.768540, 32.637043, 33.408703, 34.592245, 35.976908, 39.326851, 43.711331, 53.228190, 53.720964, 175.266598], [14.538288, 14.773946, 16.303771, 17.007139, 18.601535, 18.802539, 21.298900, 26.416395, 28.796031, 183.314465]]
### 8
fourier: [[35.645688, 36.374739, 42.453649, 43.508239, 47.046537, 47.760954, 52.384239, 67.224751, 68.226808, 255.402287], [20.083224, 20.466314, 24.002280, 24.588214, 26.531530, 26.947397, 29.623737, 37.945316, 38.343709, 170.409360], [41.104868, 41.821965, 49.274903, 50.399625, 54.404977, 55.269549, 60.722074, 77.779861, 78.440417, 336.849950], [11.480349, 11.707129, 13.689711, 14.019464, 15.165404, 15.396737, 16.878726, 21.663983, 21.973033, 96.036358], [0.737447, 0.818195, 0.827622, 0.829553, 0.864014, 0.963097, 1.211977, 1.213177, 1.358948, 28.140867], [50.215252, 51.253359, 59.828228, 61.373899, 66.221936, 67.242884, 73.934916, 94.729279, 95.948472, 377.316686], [43.469455, 44.020784, 52.007882, 53.097837, 57.444700, 58.353602, 63.941697, 82.023547, 82.768473, 312.492143]]
### 10
fourier: [[37.507152, 38.284382, 44.686598, 45.842520, 49.430254, 50.185136, 55.237981, 70.747832, 71.619480, 277.373353], [78.734457, 80.293888, 93.940791, 96.297723, 103.782718, 105.355241, 116.066353, 148.602892, 150.196854, 567.496218], [8.818423, 9.020950, 10.473310, 10.763537, 11.568447, 11.737400, 12.981438, 16.600462, 16.803173, 93.255223], [21.459059, 21.887602, 25.598548, 26.244092, 28.264403, 28.688499, 31.638956, 40.493467, 40.910875, 186.723957], [63.054711, 64.273058, 75.292224, 77.149905, 83.090875, 84.337300, 93.015016, 119.040715, 120.174010, 441.170454], [48.652368, 49.606394, 58.065090, 59.512486, 64.154707, 65.130167, 71.724540, 91.842116, 92.825818, 358.797288], [9.852326, 10.123253, 11.615402, 11.982214, 12.926450, 13.126614, 14.424365, 18.491203, 18.886896, 100.139448]]
### 12
fourier: [[78.601129, 80.337169, 93.668651, 96.211742, 103.252262, 104.787786, 116.114290, 148.254221, 149.401061, 472.158636]]
## 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": 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": [[-0.305845, -0.12071, -0.312054, -0.16734, -0.058495], [0.5333, -1.583427, -0.007796, -1.590554, 0.421218], [0.907521, 0.639923, -0.340835, -0.172036, -0.284382], [-0.998824, 0.807857, -1.910362, 0.074248, -1.340602], [-0.680712, -0.339658, 0.62517, 0.312432, 0.219881], [-0.728356, -0.286411, 0.294166, 0.308843, 0.059639], [0.625742, -1.617366, -0.024034, -1.523949, 0.151452]], "network.0.bias": [-0.230308, 0.138398, 0.171659, -0.214184, -0.361764, -0.150815, -0.083957], "network.2.weight": [[0.057552, -0.170368, -0.422104, -0.898238, 0.765396, 0.41028, -0.494341], [-0.542801, -0.206089, -0.320617, 0.062676, -0.610537, -0.849986, -0.362252], [-0.188747, 0.830137, 0.299758, 0.808044, -0.131562, -0.105308, 0.835866], [-0.372796, -0.106925, 1.030174, 0.122691, 0.158902, 0.248743, 0.080693], [0.063063, -0.096106, -0.672374, -0.434068, 0.587521, 0.211875, -0.206609], [-0.191288, -0.588048, -0.33444, -0.726336, 0.523688, 0.231395, -0.397242], [0.277085, 0.064903, -0.199058, -0.774013, -0.325071, -0.436414, -0.569532]], "network.2.bias": [0.149089, -0.696799, 0.475504, 0.083058, -0.108297, -0.259052, -0.577375], "network.4.weight": [[1.008358, 0.377814, -0.790585, 0.601236, 0.42969, 0.498436, -0.19542], [-0.031364, -0.191886, -0.516907, 0.216469, 0.108704, -0.565533, -0.561626], [0.582598, 0.230198, -0.700906, 0.388781, 0.642843, 0.186037, 0.0837], [-0.264104, -0.183767, -0.061855, -0.202181, -0.01108, 0.12125, 0.130657], [0.049151, -0.09896, -0.087045, -0.337849, -0.4839, -0.23907, -0.346629], [-0.377813, -0.080156, -0.521316, 0.048436, 0.181245, 0.105252, 0.044838], [-0.277757, -0.142538, 0.729898, -0.152356, -0.410293, -0.186584, 0.271831]], "network.4.bias": [0.172503, -0.483778, 0.147943, -0.348549, -0.279947, -0.206821, 0.492846], "network.6.weight": [[0.798367, -0.680944, 0.694395, -0.350932, 0.021552, 0.341568, -0.762643], [0.405996, -0.17864, 0.457237, -0.237001, -0.212654, 0.261999, -0.240967], [0.049642, -0.306234, -0.090466, 0.312353, 0.282223, 0.03706, -0.079868], [-0.364168, 0.187847, 0.248856, 0.043972, 0.227369, -0.303676, -0.082098], [0.120801, 0.127112, -0.479566, -0.103348, -0.216251, 0.081154, -0.468558], [0.887872, -0.10652, 0.484648, 0.344443, -0.166944, 0.124497, -0.388232], [-0.321531, -0.221084, -0.507581, -0.077357, 0.099147, 0.54891, -0.054625]], "network.6.bias": [0.263443, -0.206805, -0.088775, -0.176733, -0.050608, -0.122618, -0.675287], "network.8.weight": [[0.392295, 0.237353, -0.119652, -0.32307, 0.584798, 0.744457, -0.076309], [-0.281138, -0.211598, -0.231779, -0.37723, -0.363638, -0.307303, -0.03266], [-0.67987, -0.40152, -0.28942, -0.164442, -0.167179, -0.532982, -0.514492], [-0.138119, -0.068194, -0.377789, -0.239508, 0.230622, -0.23173, -0.007559], [0.030595, -0.297969, 0.005259, 0.2172, 0.255, 0.115922, -0.399853], [0.571391, 0.533838, 0.104482, -0.265323, -0.110071, 0.909969, 0.252203], [0.771014, 0.245131, -0.37646, 0.037056, 0.196438, 0.607274, 0.202235]], "network.8.bias": [-0.070229, -0.261582, -0.395679, -0.129156, -0.286867, 0.117297, -0.076875], "network.10.weight": [[-0.207931, -0.067905, -0.282975, 0.261331, 0.102511, -0.546238, -0.061798], [0.507663, -0.32537, -0.150538, 0.119359, -0.135724, 0.687006, 0.604418], [-0.340721, -0.22057, -0.213534, 0.142146, -0.151285, 0.06088, 0.005888], [-0.268284, 0.243614, 0.352881, -0.070178, -0.071655, -0.074768, -0.188356], [0.642123, 0.126871, -0.671799, 0.035201, -0.047478, 0.148782, 0.75597], [-0.182562, -0.184772, -0.026046, 0.224761, 0.195652, -0.505646, -0.387236], [-0.239978, 0.330931, 0.263515, 0.024223, -0.146697, -0.318719, 0.339529]], "network.10.bias": [0.018995, -0.140276, -0.337358, -0.335219, -0.201981, 0.009469, -0.277203], "network.12.weight": [[0.096592, -0.594765, 0.02883, -0.290179, -0.505583, -0.045695, 0.18226]], "network.12.bias": [1.024858]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6997398138046265, "train_acc": 0.43, "val_loss": 0.7298061847686768, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6688879728317261, "train_acc": 0.58, "val_loss": 0.6540201306343079, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6658236384391785, "train_acc": 0.525, "val_loss": 0.5353365540504456, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5920378565788269, "train_acc": 0.76, "val_loss": 0.5913941860198975, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.630915105342865, "train_acc": 0.7, "val_loss": 0.5204610228538513, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.53631192445755, "train_acc": 0.8, "val_loss": 0.4334786534309387, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.399096354842186, "train_acc": 0.87, "val_loss": 0.39805343747138977, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3627641350030899, "train_acc": 0.93, "val_loss": 0.36213719844818115, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3241547644138336, "train_acc": 0.935, "val_loss": 0.3350488245487213, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2836674898862839, "train_acc": 0.945, "val_loss": 0.3154163062572479, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.27813729643821716, "train_acc": 0.945, "val_loss": 0.2702334225177765, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2310820370912552, "train_acc": 0.95, "val_loss": 0.21847738325595856, "val_acc": 0.98}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7298061847686768, "final_val_loss": 0.6540201306343079, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5353365540504456, "final_val_loss": 0.21847738325595856, "initial_val_acc": 0.92, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.58, "first_improvement_epoch": 1}}
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357
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5454, "learning_rate": 0.021558911328828964, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[11.304320, 11.817722, 12.315987, 12.390874, 13.193655, 13.676997, 15.088507, 15.978441, 18.459858, 49.343735], [9.896081, 11.391893, 11.459717, 12.665363, 15.622036, 16.453872, 16.484394, 17.565069, 18.512653, 65.925021], [14.392522, 15.153076, 15.409465, 15.427149, 15.509738, 15.745246, 16.896371, 18.631067, 18.940019, 133.700309], [23.026822, 25.804407, 27.625043, 28.289580, 29.648336, 30.246155, 30.823125, 33.915054, 34.897730, 160.840386], [19.149958, 20.554642, 22.306337, 25.470598, 27.127934, 27.203574, 30.805940, 31.605012, 33.880005, 50.344523], [16.970718, 17.324148, 18.160308, 18.316964, 19.172913, 22.014331, 24.561344, 25.460187, 25.597525, 120.374369], [24.152365, 24.163178, 25.089144, 25.352210, 26.418487, 28.013727, 29.212896, 36.897235, 38.834921, 207.045135], [30.400997, 31.568994, 31.612603, 32.323991, 32.430141, 34.941688, 35.517984, 35.947967, 37.549942, 190.021894]]
### 2
fourier: [[28.722770, 29.123670, 30.921763, 31.895651, 32.198478, 35.342276, 36.070661, 39.021119, 39.047878, 229.152949], [16.974553, 17.068606, 17.370245, 18.115351, 18.310908, 18.878640, 20.040142, 21.367559, 23.617873, 44.617090], [18.771445, 19.989629, 20.673696, 20.818345, 21.089503, 21.861742, 23.043240, 25.349639, 25.713732, 155.823867], [8.361559, 10.361839, 10.823401, 11.509300, 12.767449, 13.584549, 13.742295, 15.103072, 17.614979, 32.236348], [38.719945, 38.871015, 39.119490, 40.266860, 40.614106, 41.710114, 45.131108, 46.555741, 47.356244, 293.806964], [27.426879, 28.821213, 29.680461, 30.070762, 31.639741, 34.932010, 35.485596, 36.932280, 38.445986, 196.331703], [6.537729, 6.964784, 6.990775, 7.653456, 8.528977, 9.058699, 9.132049, 11.393896, 13.743735, 35.842385], [22.034735, 22.634412, 23.679313, 24.414764, 24.640112, 25.684021, 29.133711, 29.225725, 30.096207, 160.809951]]
### 4
fourier: [[31.185476, 36.016982, 36.295851, 37.307734, 37.566374, 38.467562, 40.104111, 41.750934, 42.339502, 236.157326], [24.541005, 28.167139, 28.929419, 29.141554, 29.202203, 29.632787, 31.991114, 32.436902, 33.378546, 194.866131], [32.737610, 33.104897, 33.486307, 34.901714, 35.678817, 40.050208, 40.497798, 40.732851, 41.574258, 204.285341], [31.046599, 33.009946, 33.689804, 34.422435, 35.386235, 37.541668, 38.013336, 39.439706, 40.327090, 228.920392], [3.487772, 3.541150, 4.112939, 4.166421, 4.433456, 4.867469, 5.591378, 5.591388, 5.811719, 60.620731], [7.333126, 7.621027, 8.839243, 8.878942, 9.200235, 10.173633, 10.330138, 10.668125, 11.324024, 67.453441], [21.677665, 23.563151, 24.954332, 26.144145, 26.148841, 27.112585, 28.623824, 28.857045, 29.649204, 138.482487], [45.685999, 48.014305, 49.185547, 51.104462, 52.216704, 56.424037, 58.354397, 58.460386, 58.742000, 271.838049]]
### 6
fourier: [[28.734693, 29.962171, 30.206686, 33.791838, 33.911689, 34.729303, 34.834880, 36.038059, 36.822010, 136.743193], [37.772977, 39.454478, 39.602860, 44.329160, 45.012261, 45.724602, 46.599523, 47.675895, 48.655303, 175.977818], [12.398994, 13.238059, 13.623769, 14.872116, 15.060330, 15.269325, 15.524074, 15.640145, 16.036144, 53.986006], [10.013384, 10.499169, 10.590467, 10.898401, 10.987779, 11.307050, 11.649063, 12.156389, 12.502785, 12.979929], [38.555445, 41.201593, 41.736511, 45.743841, 46.056972, 48.584258, 48.785504, 49.666979, 50.106354, 220.490495], [31.250061, 31.632941, 31.714896, 33.837162, 34.442666, 37.764585, 37.962435, 38.372123, 39.281061, 224.079920], [0.815499, 0.865347, 0.871047, 0.946383, 0.949920, 1.000975, 1.042035, 1.061728, 1.476834, 10.129740], [8.377559, 8.437345, 8.541898, 9.121231, 9.537005, 9.714409, 10.363964, 10.420374, 10.624483, 17.282788]]
### 8
fourier: [[56.760461, 56.858274, 57.268677, 63.653819, 66.167730, 67.146189, 67.209995, 67.606260, 71.206832, 259.187775]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[11.304320, 11.817722, 12.315987, 12.390874, 13.193655, 13.676997, 15.088507, 15.978441, 18.459858, 49.343735], [9.896081, 11.391893, 11.459717, 12.665363, 15.622036, 16.453872, 16.484394, 17.565069, 18.512653, 65.925021], [14.392522, 15.153076, 15.409465, 15.427149, 15.509738, 15.745246, 16.896371, 18.631067, 18.940019, 133.700309], [23.026822, 25.804407, 27.625043, 28.289580, 29.648336, 30.246155, 30.823125, 33.915054, 34.897730, 160.840386], [19.149958, 20.554642, 22.306337, 25.470598, 27.127934, 27.203574, 30.805940, 31.605012, 33.880005, 50.344523], [16.970718, 17.324148, 18.160308, 18.316964, 19.172913, 22.014331, 24.561344, 25.460187, 25.597525, 120.374369], [24.152365, 24.163178, 25.089144, 25.352210, 26.418487, 28.013727, 29.212896, 36.897235, 38.834921, 207.045135], [30.400997, 31.568994, 31.612603, 32.323991, 32.430141, 34.941688, 35.517984, 35.947967, 37.549942, 190.021894]]
### 2
fourier: [[28.722770, 29.123670, 30.921763, 31.895651, 32.198478, 35.342276, 36.070661, 39.021119, 39.047878, 229.152949], [16.974553, 17.068606, 17.370245, 18.115351, 18.310908, 18.878640, 20.040142, 21.367559, 23.617873, 44.617090], [18.771445, 19.989629, 20.673696, 20.818345, 21.089503, 21.861742, 23.043240, 25.349639, 25.713732, 155.823867], [8.361559, 10.361839, 10.823401, 11.509300, 12.767449, 13.584549, 13.742295, 15.103072, 17.614979, 32.236348], [38.719945, 38.871015, 39.119490, 40.266860, 40.614106, 41.710114, 45.131108, 46.555741, 47.356244, 293.806964], [27.426879, 28.821213, 29.680461, 30.070762, 31.639741, 34.932010, 35.485596, 36.932280, 38.445986, 196.331703], [6.537729, 6.964784, 6.990775, 7.653456, 8.528977, 9.058699, 9.132049, 11.393896, 13.743735, 35.842385], [22.034735, 22.634412, 23.679313, 24.414764, 24.640112, 25.684021, 29.133711, 29.225725, 30.096207, 160.809951]]
### 4
fourier: [[31.185476, 36.016982, 36.295851, 37.307734, 37.566374, 38.467562, 40.104111, 41.750934, 42.339502, 236.157326], [24.541005, 28.167139, 28.929419, 29.141554, 29.202203, 29.632787, 31.991114, 32.436902, 33.378546, 194.866131], [32.737610, 33.104897, 33.486307, 34.901714, 35.678817, 40.050208, 40.497798, 40.732851, 41.574258, 204.285341], [31.046599, 33.009946, 33.689804, 34.422435, 35.386235, 37.541668, 38.013336, 39.439706, 40.327090, 228.920392], [3.487772, 3.541150, 4.112939, 4.166421, 4.433456, 4.867469, 5.591378, 5.591388, 5.811719, 60.620731], [7.333126, 7.621027, 8.839243, 8.878942, 9.200235, 10.173633, 10.330138, 10.668125, 11.324024, 67.453441], [21.677665, 23.563151, 24.954332, 26.144145, 26.148841, 27.112585, 28.623824, 28.857045, 29.649204, 138.482487], [45.685999, 48.014305, 49.185547, 51.104462, 52.216704, 56.424037, 58.354397, 58.460386, 58.742000, 271.838049]]
### 6
fourier: [[28.734693, 29.962171, 30.206686, 33.791838, 33.911689, 34.729303, 34.834880, 36.038059, 36.822010, 136.743193], [37.772977, 39.454478, 39.602860, 44.329160, 45.012261, 45.724602, 46.599523, 47.675895, 48.655303, 175.977818], [12.398994, 13.238059, 13.623769, 14.872116, 15.060330, 15.269325, 15.524074, 15.640145, 16.036144, 53.986006], [10.013384, 10.499169, 10.590467, 10.898401, 10.987779, 11.307050, 11.649063, 12.156389, 12.502785, 12.979929], [38.555445, 41.201593, 41.736511, 45.743841, 46.056972, 48.584258, 48.785504, 49.666979, 50.106354, 220.490495], [31.250061, 31.632941, 31.714896, 33.837162, 34.442666, 37.764585, 37.962435, 38.372123, 39.281061, 224.079920], [0.815499, 0.865347, 0.871047, 0.946383, 0.949920, 1.000975, 1.042035, 1.061728, 1.476834, 10.129740], [8.377559, 8.437345, 8.541898, 9.121231, 9.537005, 9.714409, 10.363964, 10.420374, 10.624483, 17.282788]]
### 8
fourier: [[56.760461, 56.858274, 57.268677, 63.653819, 66.167730, 67.146189, 67.209995, 67.606260, 71.206832, 259.187775]]
## 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": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.132152, 0.292152, 0.036602, -0.004714, -0.373064], [0.102521, -0.238447, 0.18401, -0.010969, 0.329336], [0.099216, -0.172607, 0.247778, 0.502018, -0.043776], [0.696181, 0.205656, 0.234315, 0.230636, -0.046898], [0.472069, -0.250766, 0.531585, -0.267099, -0.032514], [-0.403283, -0.447226, 0.323705, -0.147181, -0.088766], [0.316847, 0.610432, 0.172298, 0.264444, 0.185219], [0.663331, 0.551228, 0.267077, -0.082191, -0.082937]], "network.0.bias": [0.245205, 0.272388, 0.136478, -0.380197, -0.068669, -0.27177, -0.361572, 0.002066], "network.2.weight": [[-0.012252, 0.165995, -0.317923, -0.162413, -0.429209, -0.185782, -0.257574, -0.407398], [-0.01212, -0.31508, -0.367064, -0.086241, 0.365996, -0.045968, 0.205206, 0.388118], [-0.111117, -0.082906, -0.290307, 0.124624, -0.217423, -0.465697, -0.217461, -0.375679], [-0.030232, -0.370423, 0.082236, 0.025518, -0.013933, 0.16939, 0.387134, 0.000965], [0.325874, 0.187369, 0.167051, 0.180072, 0.461359, 0.259449, 0.285193, 0.511465], [0.114443, -0.249494, 0.291744, 0.463934, 0.26008, 0.15355, 0.078619, 0.328156], [0.209728, -0.015943, -0.480844, 0.206647, -0.262008, 0.241948, -0.077771, 0.109715], [0.189404, -0.219702, -0.144431, 0.28476, 0.247065, 0.471288, 0.461817, 0.048337]], "network.2.bias": [-0.132789, -0.191225, 0.029222, -0.399371, 0.30266, -0.012757, -0.018945, 0.179975], "network.4.weight": [[-0.047211, -0.589268, -0.249524, 0.242296, -0.246491, -0.367855, 0.205273, -0.300158], [0.173571, -0.364521, 0.26291, -0.053688, -0.312163, -0.408693, -0.129724, 0.120684], [0.574867, 0.048413, 0.401632, 0.246722, 0.39826, 0.146668, -0.2078, 0.477356], [0.084564, -0.102846, 0.048745, -0.055953, -0.404166, -0.222347, -0.349946, -0.349344], [-0.15934, -0.466884, -0.573185, -0.226506, 0.465275, -0.366613, -0.172579, 0.120349], [0.20478, 0.281201, -0.014654, 0.314943, -0.241231, -0.138592, -0.292478, -0.037802], [0.288164, 0.189637, 0.203057, 0.293346, 0.180491, -0.072505, 0.219479, 0.578436], [0.428927, 0.203685, 0.479401, 0.569963, 0.434964, 0.471567, 0.365073, 0.408449]], "network.4.bias": [-0.256387, -0.216828, -0.222836, -0.083517, 0.095167, 0.082127, -0.083593, -0.378776], "network.6.weight": [[0.612682, 0.551952, -0.025094, 0.496037, -0.448478, 0.106509, 0.24835, 0.502832], [0.439776, 0.486222, 0.413987, 0.487289, -0.406255, 0.077286, 0.365716, 0.341645], [0.168707, 0.035264, -0.154565, 0.100952, -0.057402, -0.25488, 0.353305, 0.204326], [-0.192684, -0.198327, 0.032499, -0.191217, 0.630779, -0.252855, -0.182319, -0.138212], [0.394895, -0.096292, 0.299351, 0.000988, -0.283879, -0.149173, 0.157355, 0.575633], [0.398676, 0.564338, -0.344353, 0.137309, -0.451187, 0.152645, -0.307043, -0.280903], [-0.296861, -0.571068, -0.098244, -0.146181, 0.133059, -0.347483, 0.110567, 0.016443], [0.004019, -0.30696, -0.137454, -0.260981, 0.370194, -0.216789, -0.048379, -0.052843]], "network.6.bias": [0.043571, -0.232385, -0.177726, 0.290659, -0.045565, -0.079075, -0.062994, 0.474546], "network.8.weight": [[-0.383557, -0.462736, -0.122413, 0.417534, -0.575549, -0.323636, 0.158907, 0.575015]], "network.8.bias": [-0.10296]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.678581953048706, "train_acc": 0.58, "val_loss": 0.7152056694030762, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701532006263733, "train_acc": 0.58, "val_loss": 0.702606201171875, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6076280474662781, "train_acc": 0.58, "val_loss": 0.6763839721679688, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5876581072807312, "train_acc": 0.515, "val_loss": 0.5725708603858948, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4940323233604431, "train_acc": 0.605, "val_loss": 0.4751553237438202, "val_acc": 0.86}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4178099036216736, "train_acc": 0.825, "val_loss": 0.38162949681282043, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.34866854548454285, "train_acc": 0.875, "val_loss": 0.2957315742969513, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.2919929325580597, "train_acc": 0.91, "val_loss": 0.22524280846118927, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2711986303329468, "train_acc": 0.915, "val_loss": 0.21148382127285004, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2014586552977562, "train_acc": 0.915, "val_loss": 0.1658189445734024, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.19723021984100342, "train_acc": 0.93, "val_loss": 0.1557042896747589, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1879034787416458, "train_acc": 0.945, "val_loss": 0.15231752395629883, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.15563596412539482, "train_acc": 0.93, "val_loss": 0.14788366854190826, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7152056694030762, "final_val_loss": 0.6763839721679688, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5725708603858948, "final_val_loss": 0.14788366854190826, "initial_val_acc": 0.44, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.52, "first_improvement_epoch": 2}}
|
358
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7504, "learning_rate": 0.050434124480490575, "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:
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}
## Activation Signature
### 0
fourier: [[25.665767, 27.107042, 27.576461, 28.315828, 28.396324, 30.078207, 30.649652, 31.515652, 31.916990, 33.232722], [15.849685, 16.009056, 17.030765, 17.826938, 18.671337, 18.953944, 19.378757, 19.516547, 20.272498, 155.121939], [17.857276, 19.948388, 20.457940, 20.504119, 21.088167, 21.316576, 22.052767, 24.505266, 25.286119, 90.673975], [22.611266, 23.098363, 23.440799, 23.561907, 23.616446, 24.392308, 26.529427, 27.391805, 27.924334, 107.120245], [19.368573, 19.990561, 20.397778, 22.807327, 24.289047, 24.778599, 24.786521, 26.077723, 32.135708, 103.509207], [13.809195, 14.022897, 15.047978, 15.079388, 15.760988, 16.634060, 17.566133, 18.436076, 19.133371, 21.262081], [22.085808, 22.602998, 22.867621, 23.391185, 24.069592, 25.790592, 25.924435, 34.543625, 34.629854, 37.677600], [21.183469, 21.322900, 22.064888, 22.113473, 22.181118, 22.240971, 23.388106, 34.264956, 35.030427, 43.104707]]
### 2
fourier: [[13.813371, 14.044611, 14.663144, 15.788222, 17.903022, 18.000971, 18.757782, 19.516510, 20.486145, 25.080035], [11.317328, 11.725849, 11.963104, 13.000255, 13.473117, 13.675263, 13.860195, 16.688342, 21.074071, 111.687921], [26.375600, 26.586494, 27.227905, 29.157547, 29.265333, 29.549250, 32.766717, 35.300667, 41.343279, 155.162764], [22.948710, 24.528645, 25.138117, 27.929348, 28.600512, 29.730014, 31.683750, 33.144603, 34.030331, 169.701014], [26.203954, 27.221246, 27.536555, 29.586930, 29.806938, 30.626131, 31.170292, 33.252238, 35.307237, 42.441163], [18.458321, 19.045039, 20.645915, 22.377413, 23.681332, 24.459662, 24.701159, 26.248521, 28.580391, 30.204839], [25.599136, 25.899221, 28.681306, 29.824940, 30.202697, 32.147920, 35.125217, 38.620743, 45.781166, 67.285476], [21.117214, 22.628259, 23.703879, 23.805773, 24.640974, 25.029048, 27.015671, 29.327109, 39.904039, 176.467767]]
### 4
fourier: [[16.139020, 17.574617, 17.632388, 19.747217, 19.845879, 19.894896, 20.159510, 21.006835, 27.222868, 132.572989], [43.831415, 45.764855, 46.312845, 48.800192, 51.039836, 55.025061, 56.918451, 61.592382, 68.730716, 286.846303], [15.622882, 15.876605, 17.038727, 17.152814, 18.952599, 19.557785, 23.933707, 24.204459, 30.496415, 82.314052], [32.577790, 33.538094, 34.049053, 35.290997, 38.200822, 41.484916, 43.050687, 45.401268, 48.165916, 234.651113], [19.829474, 22.151658, 22.608744, 25.994446, 26.136846, 28.222973, 28.437447, 30.076309, 30.683508, 118.333246], [29.770883, 30.792519, 31.605323, 32.051407, 37.546464, 39.965226, 39.974447, 40.252697, 42.211013, 178.520263], [8.260683, 8.941328, 9.186173, 9.835347, 10.088510, 10.331841, 11.259407, 11.509199, 14.025650, 14.388070], [19.796171, 20.233295, 20.382514, 20.922047, 20.932477, 20.934527, 25.809631, 26.584471, 30.861619, 92.563350]]
### 6
fourier: [[43.637320, 44.612792, 46.020236, 46.461319, 46.884720, 47.700005, 54.597166, 57.780166, 65.021189, 294.494944], [3.136848, 3.295820, 3.323221, 3.411140, 3.497924, 3.512154, 4.382842, 4.643035, 4.940328, 31.690709], [50.290078, 52.121279, 53.970462, 54.606412, 62.905096, 63.523401, 66.913036, 72.242352, 75.010065, 244.670074], [71.529744, 71.622064, 76.172816, 77.247581, 78.030528, 93.121470, 97.257272, 99.322929, 104.748516, 557.596382], [50.038266, 51.584349, 52.138826, 53.823882, 54.660701, 63.219545, 64.056554, 65.318832, 79.695231, 399.893701], [73.658820, 74.880268, 76.823383, 77.948412, 78.824426, 96.104176, 98.237542, 98.595160, 106.271732, 542.036904], [69.340954, 69.682462, 71.963494, 72.851195, 73.503530, 82.257707, 87.296816, 90.306201, 98.770233, 496.655265], [17.780650, 21.267587, 21.857305, 22.976697, 23.759722, 24.440765, 25.251862, 25.647858, 30.338056, 154.402164]]
### 8
fourier: [[129.557839, 131.104774, 142.052866, 142.547392, 144.896224, 173.394556, 178.924466, 183.779867, 188.624542, 912.708340]]
## 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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[
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[
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## Activation Signature
### 0
fourier: [[25.665767, 27.107042, 27.576461, 28.315828, 28.396324, 30.078207, 30.649652, 31.515652, 31.916990, 33.232722], [15.849685, 16.009056, 17.030765, 17.826938, 18.671337, 18.953944, 19.378757, 19.516547, 20.272498, 155.121939], [17.857276, 19.948388, 20.457940, 20.504119, 21.088167, 21.316576, 22.052767, 24.505266, 25.286119, 90.673975], [22.611266, 23.098363, 23.440799, 23.561907, 23.616446, 24.392308, 26.529427, 27.391805, 27.924334, 107.120245], [19.368573, 19.990561, 20.397778, 22.807327, 24.289047, 24.778599, 24.786521, 26.077723, 32.135708, 103.509207], [13.809195, 14.022897, 15.047978, 15.079388, 15.760988, 16.634060, 17.566133, 18.436076, 19.133371, 21.262081], [22.085808, 22.602998, 22.867621, 23.391185, 24.069592, 25.790592, 25.924435, 34.543625, 34.629854, 37.677600], [21.183469, 21.322900, 22.064888, 22.113473, 22.181118, 22.240971, 23.388106, 34.264956, 35.030427, 43.104707]]
### 2
fourier: [[13.813371, 14.044611, 14.663144, 15.788222, 17.903022, 18.000971, 18.757782, 19.516510, 20.486145, 25.080035], [11.317328, 11.725849, 11.963104, 13.000255, 13.473117, 13.675263, 13.860195, 16.688342, 21.074071, 111.687921], [26.375600, 26.586494, 27.227905, 29.157547, 29.265333, 29.549250, 32.766717, 35.300667, 41.343279, 155.162764], [22.948710, 24.528645, 25.138117, 27.929348, 28.600512, 29.730014, 31.683750, 33.144603, 34.030331, 169.701014], [26.203954, 27.221246, 27.536555, 29.586930, 29.806938, 30.626131, 31.170292, 33.252238, 35.307237, 42.441163], [18.458321, 19.045039, 20.645915, 22.377413, 23.681332, 24.459662, 24.701159, 26.248521, 28.580391, 30.204839], [25.599136, 25.899221, 28.681306, 29.824940, 30.202697, 32.147920, 35.125217, 38.620743, 45.781166, 67.285476], [21.117214, 22.628259, 23.703879, 23.805773, 24.640974, 25.029048, 27.015671, 29.327109, 39.904039, 176.467767]]
### 4
fourier: [[16.139020, 17.574617, 17.632388, 19.747217, 19.845879, 19.894896, 20.159510, 21.006835, 27.222868, 132.572989], [43.831415, 45.764855, 46.312845, 48.800192, 51.039836, 55.025061, 56.918451, 61.592382, 68.730716, 286.846303], [15.622882, 15.876605, 17.038727, 17.152814, 18.952599, 19.557785, 23.933707, 24.204459, 30.496415, 82.314052], [32.577790, 33.538094, 34.049053, 35.290997, 38.200822, 41.484916, 43.050687, 45.401268, 48.165916, 234.651113], [19.829474, 22.151658, 22.608744, 25.994446, 26.136846, 28.222973, 28.437447, 30.076309, 30.683508, 118.333246], [29.770883, 30.792519, 31.605323, 32.051407, 37.546464, 39.965226, 39.974447, 40.252697, 42.211013, 178.520263], [8.260683, 8.941328, 9.186173, 9.835347, 10.088510, 10.331841, 11.259407, 11.509199, 14.025650, 14.388070], [19.796171, 20.233295, 20.382514, 20.922047, 20.932477, 20.934527, 25.809631, 26.584471, 30.861619, 92.563350]]
### 6
fourier: [[43.637320, 44.612792, 46.020236, 46.461319, 46.884720, 47.700005, 54.597166, 57.780166, 65.021189, 294.494944], [3.136848, 3.295820, 3.323221, 3.411140, 3.497924, 3.512154, 4.382842, 4.643035, 4.940328, 31.690709], [50.290078, 52.121279, 53.970462, 54.606412, 62.905096, 63.523401, 66.913036, 72.242352, 75.010065, 244.670074], [71.529744, 71.622064, 76.172816, 77.247581, 78.030528, 93.121470, 97.257272, 99.322929, 104.748516, 557.596382], [50.038266, 51.584349, 52.138826, 53.823882, 54.660701, 63.219545, 64.056554, 65.318832, 79.695231, 399.893701], [73.658820, 74.880268, 76.823383, 77.948412, 78.824426, 96.104176, 98.237542, 98.595160, 106.271732, 542.036904], [69.340954, 69.682462, 71.963494, 72.851195, 73.503530, 82.257707, 87.296816, 90.306201, 98.770233, 496.655265], [17.780650, 21.267587, 21.857305, 22.976697, 23.759722, 24.440765, 25.251862, 25.647858, 30.338056, 154.402164]]
### 8
fourier: [[129.557839, 131.104774, 142.052866, 142.547392, 144.896224, 173.394556, 178.924466, 183.779867, 188.624542, 912.708340]]
## 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": [[-0.318148, 0.251553, -0.142035, 0.586545, -0.598825], [-0.122287, 0.063663, 0.04442, 0.423299, 0.355555], [0.611008, 0.17251, -0.027735, 0.033491, -0.27317], [-0.501174, -0.331959, 0.21105, 0.473981, 0.426577], [0.535832, 0.065095, 0.317383, -0.209939, -0.163672], [0.008653, -0.127598, 0.512705, -0.183675, -0.280521], [-0.050647, -0.118296, 0.664855, -0.537379, 0.275281], [-0.592282, 0.356425, -0.335462, 0.343315, 0.359907]], "network.0.bias": [-0.149952, 0.3207, 0.255795, 0.435414, 0.35376, -0.073536, -0.43806, 0.087155], "network.2.weight": [[0.120399, 0.151709, 0.608648, -0.439166, -0.107112, -0.086716, -0.369731, -0.080588], [-0.190633, 0.003124, -0.071107, -0.435602, 0.089813, -0.053021, -0.576993, -0.110512], [-0.04258, 0.197801, -0.008534, 0.5117, -0.58976, 0.008447, 0.379517, 0.761986], [0.375893, 0.300542, -0.300548, 0.624454, -0.225594, 0.157993, 0.213115, 0.236369], [0.211728, 0.039958, 0.302689, 0.222396, -0.568249, -0.431532, -0.459412, 0.788598], [-0.038942, 0.172148, 0.613153, -0.311764, 0.220571, -0.180774, -0.393222, -0.49705], [-0.086157, 0.217267, 0.352102, -0.294159, 0.561001, 0.172759, 0.557644, -0.55792], [0.683718, 0.304579, 0.022718, 0.330529, -0.325151, 0.519917, 0.732979, 0.234245]], "network.2.bias": [0.248344, -0.015451, 0.4589, 0.345353, -0.27849, -0.017819, -0.10121, -0.098192], "network.4.weight": [[-0.519218, -0.426866, 0.157648, 0.248546, 0.11555, -0.151265, 0.259746, 0.215377], [-0.078211, -0.453077, 0.704043, 0.563681, 0.182951, -0.042102, -0.500771, 0.45492], [-0.493212, -0.183296, 0.188709, 0.149791, -0.301349, -0.469395, 0.333116, 0.38381], [0.051208, 0.0721, 0.322997, 0.246875, 0.352478, 0.076351, -0.485089, 0.598577], [0.391767, -0.053342, -0.003156, -0.220425, 0.320377, 0.586015, 0.459998, -0.076691], [0.063805, 0.142633, 0.193784, 0.050725, 0.518641, -0.1686, -0.277281, 0.701885], [0.12125, -0.290569, 0.340537, -0.363089, -0.076681, -0.319665, -0.075431, 0.355566], [0.120058, -0.412169, 0.28897, 0.183086, 0.408916, -0.082734, -0.196849, 0.034676]], "network.4.bias": [0.162743, 0.258075, -0.118373, 0.44781, 0.504373, -0.013754, -0.318949, -0.138433], "network.6.weight": [[-0.012393, 0.412665, -0.384084, 0.455265, -0.0217, 0.4054, -0.34858, 0.315892], [0.313863, -0.043695, -0.153797, -0.109678, -0.1355, 0.197925, -0.122061, -0.136972], [-0.460189, -0.257144, -0.557024, -0.412261, 0.603124, -0.230264, -0.227277, -0.028817], [0.354668, 0.783163, 0.431433, 0.614155, -0.132522, 0.416519, -0.30497, 0.110053], [0.731105, 0.528034, 0.853573, 0.097779, 0.0595, 0.248653, 0.311858, -0.035361], [0.111683, 0.589903, 0.457828, 0.504019, -0.117864, 0.618982, 0.076686, 0.627911], [-0.123739, 0.66267, 0.02193, 0.633087, 0.090282, 0.660649, -0.283895, 0.430247], [0.543436, -0.252175, 0.363803, -0.460345, -0.102388, -0.336851, 0.468785, 0.122941]], "network.6.bias": [-0.063575, -0.262038, 0.445931, 0.005917, -0.42025, -0.046067, -0.31748, -0.257449], "network.8.weight": [[-0.356021, 0.241742, 0.646184, -0.326966, -0.539572, -0.452447, -0.464322, -0.20595]], "network.8.bias": [0.476501]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6971886157989502, "train_acc": 0.42, "val_loss": 0.6344031691551208, "val_acc": 0.86}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6157339811325073, "train_acc": 0.695, "val_loss": 0.4495575726032257, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5768780410289764, "train_acc": 0.635, "val_loss": 0.4530636668205261, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.4423307776451111, "train_acc": 0.895, "val_loss": 0.26601994037628174, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.34935855865478516, "train_acc": 0.87, "val_loss": 0.20828384160995483, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.25691405683755875, "train_acc": 0.915, "val_loss": 0.1914125382900238, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.2705443650484085, "train_acc": 0.935, "val_loss": 0.1449815183877945, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.28336088359355927, "train_acc": 0.93, "val_loss": 0.14132286608219147, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.1936521679162979, "train_acc": 0.935, "val_loss": 0.16494102776050568, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2107485979795456, "train_acc": 0.935, "val_loss": 0.20199251174926758, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.21241392940282822, "train_acc": 0.925, "val_loss": 0.20032624900341034, "val_acc": 0.92}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6344031691551208, "final_val_loss": 0.4495575726032257, "initial_val_acc": 0.86, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.4530636668205261, "final_val_loss": 0.20032624900341034, "initial_val_acc": 0.88, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 6}, "improvement": 0.3999999999999999, "first_improvement_epoch": 1}}
|
359
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.68, "improved_accuracy": 0.92, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1922, "learning_rate": 0.03404026363569662, "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: 7
Activation Function: gelu
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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"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[12.917478, 13.426331, 13.630232, 14.419481, 14.656500, 16.949022, 17.415891, 21.651242, 21.773753, 64.226903], [21.555562, 23.546659, 24.127926, 24.157714, 29.711000, 29.895227, 30.121576, 33.302874, 36.646104, 40.394552], [33.843688, 34.172872, 34.418337, 34.785791, 35.948307, 36.214927, 42.378087, 46.586671, 46.739524, 253.083246], [21.850988, 22.451966, 23.398127, 24.204021, 24.850964, 24.857959, 24.934870, 26.148795, 27.660466, 101.515934], [19.311849, 19.512774, 20.415291, 22.073673, 22.924329, 25.475106, 29.293704, 30.084564, 37.149776, 54.700313], [20.719963, 23.927344, 24.147680, 24.458034, 25.770070, 27.234602, 27.770431, 28.593103, 31.114442, 104.761016], [20.614260, 21.117722, 22.960932, 23.056050, 23.133898, 27.182345, 28.354968, 29.822007, 33.041902, 127.987817]]
### 2
fourier: [[21.708063, 23.324864, 23.802568, 26.775655, 27.321608, 27.323556, 27.518658, 29.847078, 30.917632, 96.021961], [22.564856, 23.601710, 26.874134, 29.418345, 31.309863, 31.818919, 33.517075, 34.165334, 34.411823, 103.599820], [38.085007, 38.724639, 39.538662, 44.087805, 45.241714, 45.557152, 49.914208, 50.402413, 50.946028, 224.802105], [35.105170, 36.325071, 36.379756, 41.610372, 45.295749, 45.493912, 50.771047, 51.075506, 51.546719, 237.959112], [27.879705, 29.640264, 31.786654, 35.380920, 35.951009, 36.643440, 41.613633, 41.871816, 43.667082, 177.003268], [5.760527, 5.771885, 5.798346, 5.823602, 5.939093, 7.043300, 7.217067, 7.577289, 7.717483, 55.907123], [15.501127, 16.346068, 16.364352, 16.385620, 17.945666, 20.345419, 20.353896, 20.539116, 21.176536, 125.462700]]
### 4
fourier: [[19.070875, 19.427413, 19.506621, 22.711367, 22.766648, 26.682734, 27.612992, 28.808731, 28.925780, 94.942561], [14.224920, 14.263291, 14.669215, 15.871233, 17.569355, 19.597572, 20.669451, 21.005070, 21.451601, 78.733961], [45.586840, 45.961109, 46.671100, 54.638382, 54.752918, 60.264901, 64.333777, 65.992484, 66.781527, 285.909841], [33.017674, 34.155001, 34.663200, 39.837369, 40.735464, 43.474372, 46.749701, 48.328914, 48.540552, 199.956941], [41.543528, 42.309034, 43.377443, 49.830411, 52.228653, 52.675992, 59.332535, 59.503738, 59.876602, 238.081735], [16.955434, 17.653270, 17.661238, 19.189472, 19.959154, 23.597745, 24.607818, 24.665939, 25.416987, 86.681296], [21.115475, 21.538208, 21.685929, 25.301442, 25.806338, 28.894168, 30.443287, 31.310284, 31.641522, 98.678699]]
### 6
fourier: [[26.300347, 26.469156, 26.903230, 27.249889, 30.821964, 34.401962, 37.665267, 38.260950, 38.557647, 149.121747], [27.657604, 27.681624, 28.656729, 30.508823, 33.782274, 37.887484, 39.424747, 41.464470, 41.634621, 145.631260], [64.373091, 64.568797, 66.230662, 76.618750, 78.330610, 86.097781, 91.463329, 94.709803, 95.082417, 320.705775], [73.706139, 74.337850, 75.354223, 88.323354, 89.020075, 97.173750, 104.836144, 107.664609, 108.067720, 446.830077], [21.483608, 22.558366, 23.192854, 25.458920, 26.570081, 29.775295, 29.816910, 31.024076, 33.571061, 156.890556], [34.752629, 34.963061, 36.412276, 40.264578, 42.809647, 48.976594, 49.131672, 52.324417, 52.567431, 163.228811], [65.357227, 65.620345, 67.535291, 78.059341, 79.590415, 88.317251, 93.218231, 96.627681, 97.033866, 404.555091]]
### 8
fourier: [[20.274554, 20.391021, 20.631899, 22.262071, 24.587889, 24.894122, 30.104491, 30.318115, 31.291155, 52.853300], [41.920648, 42.530583, 43.863628, 48.557274, 52.217405, 59.002406, 59.829033, 63.494078, 63.563433, 193.642680], [57.231056, 57.937106, 58.632339, 62.117635, 69.828116, 76.612225, 82.649722, 85.089554, 85.136389, 250.698360], [15.420126, 15.435618, 15.488854, 17.584382, 17.801093, 18.346299, 22.512735, 22.900273, 24.709393, 55.803493], [90.064151, 91.178699, 94.025818, 105.370760, 111.835292, 127.128023, 127.531306, 135.332908, 136.060693, 524.655790], [10.265813, 10.399879, 10.476796, 11.055168, 12.011234, 13.499184, 15.022243, 15.041791, 18.387961, 29.865913], [18.135555, 18.420075, 18.646268, 19.899207, 22.107636, 22.665588, 27.103091, 27.115473, 28.138565, 72.844123]]
### 10
fourier: [[48.003578, 48.973342, 49.077912, 51.752695, 58.330946, 60.426450, 71.365383, 71.999460, 73.737581, 198.289421], [23.760032, 24.146595, 27.086348, 27.383882, 28.978347, 35.394102, 36.367902, 36.730511, 46.135191, 93.139805], [21.801510, 22.132343, 22.497988, 24.734726, 26.243014, 27.598715, 32.768990, 34.299729, 36.874331, 46.056572], [59.876001, 61.293860, 62.374451, 66.051691, 72.525896, 74.966925, 89.813186, 90.069888, 92.235774, 332.518071], [73.118254, 73.392685, 75.499364, 81.611414, 90.431635, 99.671757, 105.877857, 108.939962, 110.459493, 430.367699], [52.816465, 53.707211, 55.318741, 59.833869, 63.669096, 63.762349, 79.063067, 79.163954, 83.703405, 210.884869], [32.082921, 32.441707, 34.706870, 36.502653, 37.382707, 43.666717, 47.661854, 48.814871, 57.667850, 128.863814]]
### 12
fourier: [[102.709577, 104.023182, 109.746500, 112.680639, 125.632912, 125.860707, 152.606539, 156.304724, 162.674509, 581.037454]]
## 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: 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: [[12.917478, 13.426331, 13.630232, 14.419481, 14.656500, 16.949022, 17.415891, 21.651242, 21.773753, 64.226903], [21.555562, 23.546659, 24.127926, 24.157714, 29.711000, 29.895227, 30.121576, 33.302874, 36.646104, 40.394552], [33.843688, 34.172872, 34.418337, 34.785791, 35.948307, 36.214927, 42.378087, 46.586671, 46.739524, 253.083246], [21.850988, 22.451966, 23.398127, 24.204021, 24.850964, 24.857959, 24.934870, 26.148795, 27.660466, 101.515934], [19.311849, 19.512774, 20.415291, 22.073673, 22.924329, 25.475106, 29.293704, 30.084564, 37.149776, 54.700313], [20.719963, 23.927344, 24.147680, 24.458034, 25.770070, 27.234602, 27.770431, 28.593103, 31.114442, 104.761016], [20.614260, 21.117722, 22.960932, 23.056050, 23.133898, 27.182345, 28.354968, 29.822007, 33.041902, 127.987817]]
### 2
fourier: [[21.708063, 23.324864, 23.802568, 26.775655, 27.321608, 27.323556, 27.518658, 29.847078, 30.917632, 96.021961], [22.564856, 23.601710, 26.874134, 29.418345, 31.309863, 31.818919, 33.517075, 34.165334, 34.411823, 103.599820], [38.085007, 38.724639, 39.538662, 44.087805, 45.241714, 45.557152, 49.914208, 50.402413, 50.946028, 224.802105], [35.105170, 36.325071, 36.379756, 41.610372, 45.295749, 45.493912, 50.771047, 51.075506, 51.546719, 237.959112], [27.879705, 29.640264, 31.786654, 35.380920, 35.951009, 36.643440, 41.613633, 41.871816, 43.667082, 177.003268], [5.760527, 5.771885, 5.798346, 5.823602, 5.939093, 7.043300, 7.217067, 7.577289, 7.717483, 55.907123], [15.501127, 16.346068, 16.364352, 16.385620, 17.945666, 20.345419, 20.353896, 20.539116, 21.176536, 125.462700]]
### 4
fourier: [[19.070875, 19.427413, 19.506621, 22.711367, 22.766648, 26.682734, 27.612992, 28.808731, 28.925780, 94.942561], [14.224920, 14.263291, 14.669215, 15.871233, 17.569355, 19.597572, 20.669451, 21.005070, 21.451601, 78.733961], [45.586840, 45.961109, 46.671100, 54.638382, 54.752918, 60.264901, 64.333777, 65.992484, 66.781527, 285.909841], [33.017674, 34.155001, 34.663200, 39.837369, 40.735464, 43.474372, 46.749701, 48.328914, 48.540552, 199.956941], [41.543528, 42.309034, 43.377443, 49.830411, 52.228653, 52.675992, 59.332535, 59.503738, 59.876602, 238.081735], [16.955434, 17.653270, 17.661238, 19.189472, 19.959154, 23.597745, 24.607818, 24.665939, 25.416987, 86.681296], [21.115475, 21.538208, 21.685929, 25.301442, 25.806338, 28.894168, 30.443287, 31.310284, 31.641522, 98.678699]]
### 6
fourier: [[26.300347, 26.469156, 26.903230, 27.249889, 30.821964, 34.401962, 37.665267, 38.260950, 38.557647, 149.121747], [27.657604, 27.681624, 28.656729, 30.508823, 33.782274, 37.887484, 39.424747, 41.464470, 41.634621, 145.631260], [64.373091, 64.568797, 66.230662, 76.618750, 78.330610, 86.097781, 91.463329, 94.709803, 95.082417, 320.705775], [73.706139, 74.337850, 75.354223, 88.323354, 89.020075, 97.173750, 104.836144, 107.664609, 108.067720, 446.830077], [21.483608, 22.558366, 23.192854, 25.458920, 26.570081, 29.775295, 29.816910, 31.024076, 33.571061, 156.890556], [34.752629, 34.963061, 36.412276, 40.264578, 42.809647, 48.976594, 49.131672, 52.324417, 52.567431, 163.228811], [65.357227, 65.620345, 67.535291, 78.059341, 79.590415, 88.317251, 93.218231, 96.627681, 97.033866, 404.555091]]
### 8
fourier: [[20.274554, 20.391021, 20.631899, 22.262071, 24.587889, 24.894122, 30.104491, 30.318115, 31.291155, 52.853300], [41.920648, 42.530583, 43.863628, 48.557274, 52.217405, 59.002406, 59.829033, 63.494078, 63.563433, 193.642680], [57.231056, 57.937106, 58.632339, 62.117635, 69.828116, 76.612225, 82.649722, 85.089554, 85.136389, 250.698360], [15.420126, 15.435618, 15.488854, 17.584382, 17.801093, 18.346299, 22.512735, 22.900273, 24.709393, 55.803493], [90.064151, 91.178699, 94.025818, 105.370760, 111.835292, 127.128023, 127.531306, 135.332908, 136.060693, 524.655790], [10.265813, 10.399879, 10.476796, 11.055168, 12.011234, 13.499184, 15.022243, 15.041791, 18.387961, 29.865913], [18.135555, 18.420075, 18.646268, 19.899207, 22.107636, 22.665588, 27.103091, 27.115473, 28.138565, 72.844123]]
### 10
fourier: [[48.003578, 48.973342, 49.077912, 51.752695, 58.330946, 60.426450, 71.365383, 71.999460, 73.737581, 198.289421], [23.760032, 24.146595, 27.086348, 27.383882, 28.978347, 35.394102, 36.367902, 36.730511, 46.135191, 93.139805], [21.801510, 22.132343, 22.497988, 24.734726, 26.243014, 27.598715, 32.768990, 34.299729, 36.874331, 46.056572], [59.876001, 61.293860, 62.374451, 66.051691, 72.525896, 74.966925, 89.813186, 90.069888, 92.235774, 332.518071], [73.118254, 73.392685, 75.499364, 81.611414, 90.431635, 99.671757, 105.877857, 108.939962, 110.459493, 430.367699], [52.816465, 53.707211, 55.318741, 59.833869, 63.669096, 63.762349, 79.063067, 79.163954, 83.703405, 210.884869], [32.082921, 32.441707, 34.706870, 36.502653, 37.382707, 43.666717, 47.661854, 48.814871, 57.667850, 128.863814]]
### 12
fourier: [[102.709577, 104.023182, 109.746500, 112.680639, 125.632912, 125.860707, 152.606539, 156.304724, 162.674509, 581.037454]]
## 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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360
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{"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.78, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3853, "learning_rate": 0.07606966611702803, "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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}
## Activation Signature
### 0
fourier: [[14.801950, 15.108447, 15.328325, 15.695154, 15.995284, 16.430777, 17.667838, 19.375131, 21.180954, 30.495921], [37.492696, 37.730989, 38.189087, 38.435772, 38.500828, 43.807836, 52.787211, 56.027267, 69.654470, 97.571806], [30.925623, 31.348104, 31.441515, 31.685061, 34.137284, 35.272258, 37.990291, 38.440501, 41.093970, 41.691753], [23.105673, 25.257120, 26.583370, 29.796469, 32.742104, 33.031002, 36.688919, 38.328677, 40.238741, 40.742856], [26.414515, 28.171776, 28.471066, 31.000316, 32.168148, 38.037060, 41.342095, 47.233043, 49.831434, 254.188578], [50.170138, 52.848825, 56.649152, 59.460834, 60.506685, 60.968535, 64.999603, 70.229746, 75.467307, 242.625703], [32.538996, 36.848574, 37.360581, 38.090315, 42.623288, 42.942840, 43.270724, 45.697331, 46.822981, 64.440917], [20.557421, 21.805226, 22.436867, 25.412256, 26.316012, 27.590670, 29.005286, 29.210778, 29.716925, 182.424300]]
### 2
fourier: [[13.592554, 14.559317, 15.675522, 15.929744, 16.028673, 16.496019, 20.715207, 21.399053, 24.857841, 190.299024], [51.922975, 54.494552, 55.947451, 62.013883, 62.330744, 64.140055, 67.614005, 70.432204, 75.368108, 263.360335], [66.657330, 66.859340, 73.321324, 74.411241, 75.108432, 77.409683, 87.686111, 90.299287, 90.948267, 319.518824], [37.335295, 38.175100, 41.099666, 41.780239, 41.784875, 44.664068, 45.566510, 48.686149, 49.382678, 237.483691], [41.797627, 43.202310, 44.400620, 45.542042, 47.988327, 49.000140, 51.482103, 56.052528, 58.938734, 204.261885], [76.872654, 80.048719, 92.894951, 96.251511, 104.051609, 108.707607, 110.719826, 118.402755, 123.189276, 288.050596], [19.693440, 19.870011, 20.749081, 20.898744, 21.994130, 22.391989, 27.346132, 28.841740, 33.913462, 39.802650], [64.808619, 70.633081, 75.664230, 77.485539, 81.280709, 83.340216, 85.332257, 88.103810, 90.875336, 326.477613]]
### 4
fourier: [[151.262616, 161.827992, 170.119125, 183.336498, 185.210214, 199.418029, 199.719506, 205.656878, 206.759578, 866.924253], [91.610028, 94.332282, 98.351325, 113.063995, 116.893183, 118.758780, 118.980236, 125.926624, 137.544034, 397.322663], [117.574379, 118.469483, 120.637338, 142.125825, 143.973988, 147.711137, 151.136815, 153.808848, 164.667792, 528.814316], [70.751057, 74.974142, 78.836229, 90.774915, 91.053424, 93.987820, 95.606140, 96.612814, 105.538058, 340.716044], [92.661197, 100.227187, 101.522234, 117.300765, 119.174468, 120.487780, 121.172860, 127.372159, 128.517151, 480.353464], [136.225916, 138.744117, 140.381413, 165.893714, 167.793478, 170.567225, 175.406752, 177.318021, 189.890224, 672.350453], [97.937440, 98.367737, 101.303770, 116.613339, 118.391050, 121.928081, 125.405697, 125.481245, 133.763922, 518.206816], [75.954392, 77.323140, 82.885736, 93.070524, 93.979712, 99.097385, 99.992812, 100.126853, 112.549979, 331.734664]]
### 6
fourier: [[261.355138, 268.863012, 276.150182, 317.418384, 318.801430, 336.991139, 337.981636, 348.691960, 373.975442, 1184.570757], [339.417168, 345.792054, 354.151608, 409.912104, 410.768509, 431.410737, 437.340279, 444.871366, 476.077480, 1502.748385], [191.952304, 196.070428, 202.448863, 232.346761, 233.034144, 246.240143, 247.898906, 253.605933, 271.539585, 861.341874], [270.712509, 275.923688, 284.375173, 327.613965, 327.924309, 346.304526, 349.398533, 356.087018, 380.754681, 1226.053166], [309.711800, 313.807797, 322.200888, 372.960627, 373.645419, 392.706604, 398.797635, 403.752433, 430.574308, 1373.020525], [84.417473, 84.761471, 88.062275, 101.030521, 101.156950, 106.893369, 108.674364, 109.598698, 116.300892, 361.094493], [187.382503, 190.574050, 195.692951, 226.372416, 226.451305, 238.589225, 241.574062, 245.668990, 262.515064, 842.348492], [109.022763, 110.724780, 113.858347, 131.391099, 132.458092, 139.707740, 140.792912, 143.289400, 152.577309, 466.737287]]
### 8
fourier: [[273.143357, 278.076806, 286.739462, 330.150987, 330.352661, 349.542971, 352.338253, 360.315892, 386.020263, 1189.138240], [147.818978, 148.866221, 153.064820, 178.840474, 180.028677, 184.237072, 185.130896, 187.433989, 203.191430, 644.909326], [90.113433, 91.667879, 92.503867, 108.903675, 110.117036, 111.833283, 113.225419, 113.474732, 122.081400, 340.578784], [376.470873, 383.680656, 399.279445, 453.903855, 456.080398, 487.945376, 488.945837, 502.157137, 536.875096, 1667.229567], [319.862970, 326.408563, 335.340655, 387.462612, 387.687566, 408.856428, 412.121953, 421.995155, 452.050590, 1409.155853], [161.629206, 163.699852, 166.461984, 194.988135, 195.111774, 202.283198, 205.811656, 209.131153, 223.800214, 674.167741], [210.219604, 218.016042, 230.699460, 255.444033, 255.620613, 279.724449, 282.832493, 289.941447, 311.373386, 1090.454382], [193.622953, 197.514508, 201.441558, 234.502528, 235.065418, 245.538412, 248.486947, 253.705221, 272.059978, 821.585655]]
### 10
fourier: [[282.486018, 288.451895, 299.616864, 340.666667, 342.705441, 365.768054, 367.140782, 376.667809, 401.520311, 1216.426793], [34.361562, 35.402888, 35.900321, 42.202218, 42.384732, 42.963684, 43.466277, 43.845127, 46.994560, 180.648263], [26.259647, 26.459085, 27.954078, 31.232170, 31.444624, 34.059602, 34.092237, 35.066383, 37.494659, 150.960233], [392.419123, 398.982660, 417.122524, 470.751605, 475.124227, 510.232640, 511.108018, 524.883557, 559.597535, 1684.565203], [6.558318, 7.166509, 7.627117, 8.040399, 9.024949, 9.623318, 9.664068, 10.541670, 12.052384, 86.802122], [336.025746, 342.238673, 356.815328, 404.189892, 406.864473, 436.404391, 437.721462, 448.938060, 479.401712, 1468.714960], [288.315296, 294.706015, 305.850829, 348.424090, 349.336183, 373.951525, 375.789854, 384.867619, 411.814984, 1333.851874], [498.321516, 505.170932, 529.485688, 596.495908, 602.154797, 647.802267, 648.660758, 666.161602, 710.720186, 2242.218909]]
### 12
fourier: [[77.182616, 79.256931, 81.393658, 93.666580, 93.795231, 99.460165, 100.305601, 102.220285, 109.780763, 279.578243]]
## 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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## Activation Signature
### 0
fourier: [[14.801950, 15.108447, 15.328325, 15.695154, 15.995284, 16.430777, 17.667838, 19.375131, 21.180954, 30.495921], [37.492696, 37.730989, 38.189087, 38.435772, 38.500828, 43.807836, 52.787211, 56.027267, 69.654470, 97.571806], [30.925623, 31.348104, 31.441515, 31.685061, 34.137284, 35.272258, 37.990291, 38.440501, 41.093970, 41.691753], [23.105673, 25.257120, 26.583370, 29.796469, 32.742104, 33.031002, 36.688919, 38.328677, 40.238741, 40.742856], [26.414515, 28.171776, 28.471066, 31.000316, 32.168148, 38.037060, 41.342095, 47.233043, 49.831434, 254.188578], [50.170138, 52.848825, 56.649152, 59.460834, 60.506685, 60.968535, 64.999603, 70.229746, 75.467307, 242.625703], [32.538996, 36.848574, 37.360581, 38.090315, 42.623288, 42.942840, 43.270724, 45.697331, 46.822981, 64.440917], [20.557421, 21.805226, 22.436867, 25.412256, 26.316012, 27.590670, 29.005286, 29.210778, 29.716925, 182.424300]]
### 2
fourier: [[13.592554, 14.559317, 15.675522, 15.929744, 16.028673, 16.496019, 20.715207, 21.399053, 24.857841, 190.299024], [51.922975, 54.494552, 55.947451, 62.013883, 62.330744, 64.140055, 67.614005, 70.432204, 75.368108, 263.360335], [66.657330, 66.859340, 73.321324, 74.411241, 75.108432, 77.409683, 87.686111, 90.299287, 90.948267, 319.518824], [37.335295, 38.175100, 41.099666, 41.780239, 41.784875, 44.664068, 45.566510, 48.686149, 49.382678, 237.483691], [41.797627, 43.202310, 44.400620, 45.542042, 47.988327, 49.000140, 51.482103, 56.052528, 58.938734, 204.261885], [76.872654, 80.048719, 92.894951, 96.251511, 104.051609, 108.707607, 110.719826, 118.402755, 123.189276, 288.050596], [19.693440, 19.870011, 20.749081, 20.898744, 21.994130, 22.391989, 27.346132, 28.841740, 33.913462, 39.802650], [64.808619, 70.633081, 75.664230, 77.485539, 81.280709, 83.340216, 85.332257, 88.103810, 90.875336, 326.477613]]
### 4
fourier: [[151.262616, 161.827992, 170.119125, 183.336498, 185.210214, 199.418029, 199.719506, 205.656878, 206.759578, 866.924253], [91.610028, 94.332282, 98.351325, 113.063995, 116.893183, 118.758780, 118.980236, 125.926624, 137.544034, 397.322663], [117.574379, 118.469483, 120.637338, 142.125825, 143.973988, 147.711137, 151.136815, 153.808848, 164.667792, 528.814316], [70.751057, 74.974142, 78.836229, 90.774915, 91.053424, 93.987820, 95.606140, 96.612814, 105.538058, 340.716044], [92.661197, 100.227187, 101.522234, 117.300765, 119.174468, 120.487780, 121.172860, 127.372159, 128.517151, 480.353464], [136.225916, 138.744117, 140.381413, 165.893714, 167.793478, 170.567225, 175.406752, 177.318021, 189.890224, 672.350453], [97.937440, 98.367737, 101.303770, 116.613339, 118.391050, 121.928081, 125.405697, 125.481245, 133.763922, 518.206816], [75.954392, 77.323140, 82.885736, 93.070524, 93.979712, 99.097385, 99.992812, 100.126853, 112.549979, 331.734664]]
### 6
fourier: [[261.355138, 268.863012, 276.150182, 317.418384, 318.801430, 336.991139, 337.981636, 348.691960, 373.975442, 1184.570757], [339.417168, 345.792054, 354.151608, 409.912104, 410.768509, 431.410737, 437.340279, 444.871366, 476.077480, 1502.748385], [191.952304, 196.070428, 202.448863, 232.346761, 233.034144, 246.240143, 247.898906, 253.605933, 271.539585, 861.341874], [270.712509, 275.923688, 284.375173, 327.613965, 327.924309, 346.304526, 349.398533, 356.087018, 380.754681, 1226.053166], [309.711800, 313.807797, 322.200888, 372.960627, 373.645419, 392.706604, 398.797635, 403.752433, 430.574308, 1373.020525], [84.417473, 84.761471, 88.062275, 101.030521, 101.156950, 106.893369, 108.674364, 109.598698, 116.300892, 361.094493], [187.382503, 190.574050, 195.692951, 226.372416, 226.451305, 238.589225, 241.574062, 245.668990, 262.515064, 842.348492], [109.022763, 110.724780, 113.858347, 131.391099, 132.458092, 139.707740, 140.792912, 143.289400, 152.577309, 466.737287]]
### 8
fourier: [[273.143357, 278.076806, 286.739462, 330.150987, 330.352661, 349.542971, 352.338253, 360.315892, 386.020263, 1189.138240], [147.818978, 148.866221, 153.064820, 178.840474, 180.028677, 184.237072, 185.130896, 187.433989, 203.191430, 644.909326], [90.113433, 91.667879, 92.503867, 108.903675, 110.117036, 111.833283, 113.225419, 113.474732, 122.081400, 340.578784], [376.470873, 383.680656, 399.279445, 453.903855, 456.080398, 487.945376, 488.945837, 502.157137, 536.875096, 1667.229567], [319.862970, 326.408563, 335.340655, 387.462612, 387.687566, 408.856428, 412.121953, 421.995155, 452.050590, 1409.155853], [161.629206, 163.699852, 166.461984, 194.988135, 195.111774, 202.283198, 205.811656, 209.131153, 223.800214, 674.167741], [210.219604, 218.016042, 230.699460, 255.444033, 255.620613, 279.724449, 282.832493, 289.941447, 311.373386, 1090.454382], [193.622953, 197.514508, 201.441558, 234.502528, 235.065418, 245.538412, 248.486947, 253.705221, 272.059978, 821.585655]]
### 10
fourier: [[282.486018, 288.451895, 299.616864, 340.666667, 342.705441, 365.768054, 367.140782, 376.667809, 401.520311, 1216.426793], [34.361562, 35.402888, 35.900321, 42.202218, 42.384732, 42.963684, 43.466277, 43.845127, 46.994560, 180.648263], [26.259647, 26.459085, 27.954078, 31.232170, 31.444624, 34.059602, 34.092237, 35.066383, 37.494659, 150.960233], [392.419123, 398.982660, 417.122524, 470.751605, 475.124227, 510.232640, 511.108018, 524.883557, 559.597535, 1684.565203], [6.558318, 7.166509, 7.627117, 8.040399, 9.024949, 9.623318, 9.664068, 10.541670, 12.052384, 86.802122], [336.025746, 342.238673, 356.815328, 404.189892, 406.864473, 436.404391, 437.721462, 448.938060, 479.401712, 1468.714960], [288.315296, 294.706015, 305.850829, 348.424090, 349.336183, 373.951525, 375.789854, 384.867619, 411.814984, 1333.851874], [498.321516, 505.170932, 529.485688, 596.495908, 602.154797, 647.802267, 648.660758, 666.161602, 710.720186, 2242.218909]]
### 12
fourier: [[77.182616, 79.256931, 81.393658, 93.666580, 93.795231, 99.460165, 100.305601, 102.220285, 109.780763, 279.578243]]
## 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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361
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{"target_pattern": "sorted_ascending", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6455, "learning_rate": 0.058272867263233726, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[9.804042, 10.995130, 11.461343, 11.542491, 12.379342, 13.635190, 13.752425, 14.863662, 17.544283, 62.008135], [18.355181, 18.465099, 18.479976, 18.682212, 18.712349, 19.841324, 21.070215, 22.648618, 29.006304, 96.493169], [27.248061, 27.925040, 28.052934, 28.266939, 28.996976, 29.365285, 29.389618, 34.933010, 47.875702, 56.929653], [13.270028, 13.679251, 15.847383, 16.232494, 16.531031, 16.564202, 18.846082, 20.938641, 21.969831, 22.081509], [19.602117, 19.814322, 21.065220, 23.313191, 23.442013, 24.423102, 25.972225, 28.265220, 30.632242, 152.626801], [19.212445, 20.063358, 21.285718, 24.593582, 24.604950, 25.058771, 27.447164, 28.534934, 29.218444, 131.449839], [32.950594, 34.698258, 34.709143, 35.197351, 35.677615, 37.078136, 38.629838, 41.927222, 44.571442, 248.341931]]
### 2
fourier: [[5.803579, 6.323302, 6.884561, 7.214872, 7.538671, 7.686387, 8.361452, 9.296362, 9.693061, 64.741918], [7.920579, 8.160970, 8.366595, 8.402353, 8.569501, 8.702102, 9.073663, 11.678635, 11.828110, 77.893449], [7.817868, 8.041339, 8.192038, 8.475764, 8.488547, 8.714542, 10.614431, 12.061081, 12.592372, 14.271001], [23.165330, 23.999243, 24.897827, 25.143759, 25.155524, 26.824914, 27.285929, 27.341051, 31.490367, 149.916316], [8.947754, 9.090976, 9.876123, 9.888378, 10.410327, 11.626799, 12.573511, 12.623988, 15.080225, 72.310680], [18.065999, 18.863413, 19.213072, 21.076964, 21.995662, 22.660155, 22.740232, 23.305930, 29.574170, 45.220017], [8.415868, 9.468225, 9.727043, 10.194934, 10.824699, 11.038128, 11.848059, 12.244359, 15.553130, 49.908190]]
### 4
fourier: [[1.997365, 2.165245, 2.232647, 2.311014, 2.471711, 2.752448, 2.965018, 2.989374, 3.285563, 13.855690], [20.468697, 20.684819, 20.854715, 21.722559, 22.321145, 22.696826, 22.997833, 24.393748, 29.900492, 118.852786], [11.742997, 11.849877, 12.551771, 12.625045, 13.566716, 13.906231, 15.096388, 15.178339, 19.760814, 63.698130], [20.223700, 21.030960, 21.478481, 21.702206, 21.914278, 21.924775, 22.947563, 24.805091, 31.095545, 141.640865], [8.803194, 9.051546, 9.953687, 11.200652, 11.225318, 11.511613, 11.653483, 13.135446, 16.560052, 93.218458], [13.993061, 14.569756, 14.873931, 14.973606, 15.583318, 15.601713, 15.614001, 16.382467, 21.060764, 89.335472], [13.650868, 13.982147, 14.102369, 14.689000, 14.694305, 15.270774, 15.309837, 16.211218, 19.577830, 84.634505]]
### 6
fourier: [[22.121375, 22.180975, 22.941242, 23.302716, 24.137267, 24.240124, 24.251752, 27.822610, 33.084469, 138.687617], [28.255757, 28.418629, 30.038209, 30.169683, 30.577269, 31.474741, 31.610627, 34.930728, 41.840974, 188.381345], [30.718496, 31.038357, 31.346821, 32.111832, 33.123074, 33.526054, 33.675024, 38.068818, 45.787183, 239.576694], [19.525930, 19.791886, 19.833202, 21.362976, 21.801123, 22.252366, 22.344360, 22.936580, 27.780173, 101.719356], [21.644943, 21.681590, 22.637800, 23.002644, 23.500752, 23.787091, 24.146214, 26.239098, 31.682516, 141.605355], [34.009792, 34.424110, 36.324447, 37.022448, 37.386842, 37.670583, 38.148388, 42.348856, 50.204755, 183.566693], [25.687962, 26.374386, 26.685772, 27.361419, 27.541115, 28.032982, 28.286894, 31.612704, 37.985715, 200.702928]]
### 8
fourier: [[1.888365, 1.910214, 2.037950, 2.111968, 2.122235, 2.136424, 2.207907, 2.756672, 2.934599, 7.301233], [29.411696, 30.363136, 30.606780, 30.908860, 30.984002, 32.065769, 33.027174, 36.959799, 43.899460, 204.414762], [20.255870, 20.990161, 21.207753, 21.754820, 22.518942, 22.881341, 24.455795, 26.142985, 32.203604, 185.004424], [13.506151, 13.749557, 13.923660, 14.347914, 14.457378, 14.936556, 15.609679, 17.281748, 20.815317, 103.277330], [12.631587, 12.737114, 12.986420, 13.147990, 13.219962, 13.788782, 14.114995, 15.786951, 18.883605, 92.481847], [13.644667, 13.766256, 13.884811, 14.052457, 14.559577, 14.858962, 14.879214, 16.785133, 20.229561, 96.032062], [33.554790, 34.158703, 35.528928, 36.070486, 36.077024, 36.827255, 36.968567, 42.105418, 49.851162, 264.035421]]
### 10
fourier: [[21.512664, 21.543359, 21.862401, 21.936738, 22.983869, 23.139031, 24.912878, 27.490944, 32.587115, 199.518924], [14.128100, 14.380823, 14.603284, 15.010797, 15.024884, 15.103327, 15.651890, 17.883704, 20.614644, 88.900423], [31.136723, 31.769043, 31.856485, 32.170716, 33.179842, 33.552935, 36.158348, 40.087758, 47.113731, 215.431233], [17.244078, 17.479458, 17.688459, 17.842107, 18.266957, 18.640219, 19.867403, 21.988239, 26.057043, 153.266669], [25.935031, 26.786817, 27.034378, 27.188122, 27.277290, 28.003593, 29.670062, 33.274359, 38.835276, 180.240234], [8.973037, 9.022435, 9.045825, 9.135900, 9.633507, 9.720750, 10.609626, 11.678752, 13.659025, 69.473826], [20.618834, 21.052478, 21.533307, 21.915484, 22.026072, 22.220219, 22.926986, 26.106328, 30.334785, 122.682420]]
### 12
fourier: [[27.525279, 27.901712, 28.531504, 28.702683, 29.610400, 30.111590, 33.230301, 36.661167, 42.319788, 210.370306]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
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## Activation Signature
### 0
fourier: [[9.804042, 10.995130, 11.461343, 11.542491, 12.379342, 13.635190, 13.752425, 14.863662, 17.544283, 62.008135], [18.355181, 18.465099, 18.479976, 18.682212, 18.712349, 19.841324, 21.070215, 22.648618, 29.006304, 96.493169], [27.248061, 27.925040, 28.052934, 28.266939, 28.996976, 29.365285, 29.389618, 34.933010, 47.875702, 56.929653], [13.270028, 13.679251, 15.847383, 16.232494, 16.531031, 16.564202, 18.846082, 20.938641, 21.969831, 22.081509], [19.602117, 19.814322, 21.065220, 23.313191, 23.442013, 24.423102, 25.972225, 28.265220, 30.632242, 152.626801], [19.212445, 20.063358, 21.285718, 24.593582, 24.604950, 25.058771, 27.447164, 28.534934, 29.218444, 131.449839], [32.950594, 34.698258, 34.709143, 35.197351, 35.677615, 37.078136, 38.629838, 41.927222, 44.571442, 248.341931]]
### 2
fourier: [[5.803579, 6.323302, 6.884561, 7.214872, 7.538671, 7.686387, 8.361452, 9.296362, 9.693061, 64.741918], [7.920579, 8.160970, 8.366595, 8.402353, 8.569501, 8.702102, 9.073663, 11.678635, 11.828110, 77.893449], [7.817868, 8.041339, 8.192038, 8.475764, 8.488547, 8.714542, 10.614431, 12.061081, 12.592372, 14.271001], [23.165330, 23.999243, 24.897827, 25.143759, 25.155524, 26.824914, 27.285929, 27.341051, 31.490367, 149.916316], [8.947754, 9.090976, 9.876123, 9.888378, 10.410327, 11.626799, 12.573511, 12.623988, 15.080225, 72.310680], [18.065999, 18.863413, 19.213072, 21.076964, 21.995662, 22.660155, 22.740232, 23.305930, 29.574170, 45.220017], [8.415868, 9.468225, 9.727043, 10.194934, 10.824699, 11.038128, 11.848059, 12.244359, 15.553130, 49.908190]]
### 4
fourier: [[1.997365, 2.165245, 2.232647, 2.311014, 2.471711, 2.752448, 2.965018, 2.989374, 3.285563, 13.855690], [20.468697, 20.684819, 20.854715, 21.722559, 22.321145, 22.696826, 22.997833, 24.393748, 29.900492, 118.852786], [11.742997, 11.849877, 12.551771, 12.625045, 13.566716, 13.906231, 15.096388, 15.178339, 19.760814, 63.698130], [20.223700, 21.030960, 21.478481, 21.702206, 21.914278, 21.924775, 22.947563, 24.805091, 31.095545, 141.640865], [8.803194, 9.051546, 9.953687, 11.200652, 11.225318, 11.511613, 11.653483, 13.135446, 16.560052, 93.218458], [13.993061, 14.569756, 14.873931, 14.973606, 15.583318, 15.601713, 15.614001, 16.382467, 21.060764, 89.335472], [13.650868, 13.982147, 14.102369, 14.689000, 14.694305, 15.270774, 15.309837, 16.211218, 19.577830, 84.634505]]
### 6
fourier: [[22.121375, 22.180975, 22.941242, 23.302716, 24.137267, 24.240124, 24.251752, 27.822610, 33.084469, 138.687617], [28.255757, 28.418629, 30.038209, 30.169683, 30.577269, 31.474741, 31.610627, 34.930728, 41.840974, 188.381345], [30.718496, 31.038357, 31.346821, 32.111832, 33.123074, 33.526054, 33.675024, 38.068818, 45.787183, 239.576694], [19.525930, 19.791886, 19.833202, 21.362976, 21.801123, 22.252366, 22.344360, 22.936580, 27.780173, 101.719356], [21.644943, 21.681590, 22.637800, 23.002644, 23.500752, 23.787091, 24.146214, 26.239098, 31.682516, 141.605355], [34.009792, 34.424110, 36.324447, 37.022448, 37.386842, 37.670583, 38.148388, 42.348856, 50.204755, 183.566693], [25.687962, 26.374386, 26.685772, 27.361419, 27.541115, 28.032982, 28.286894, 31.612704, 37.985715, 200.702928]]
### 8
fourier: [[1.888365, 1.910214, 2.037950, 2.111968, 2.122235, 2.136424, 2.207907, 2.756672, 2.934599, 7.301233], [29.411696, 30.363136, 30.606780, 30.908860, 30.984002, 32.065769, 33.027174, 36.959799, 43.899460, 204.414762], [20.255870, 20.990161, 21.207753, 21.754820, 22.518942, 22.881341, 24.455795, 26.142985, 32.203604, 185.004424], [13.506151, 13.749557, 13.923660, 14.347914, 14.457378, 14.936556, 15.609679, 17.281748, 20.815317, 103.277330], [12.631587, 12.737114, 12.986420, 13.147990, 13.219962, 13.788782, 14.114995, 15.786951, 18.883605, 92.481847], [13.644667, 13.766256, 13.884811, 14.052457, 14.559577, 14.858962, 14.879214, 16.785133, 20.229561, 96.032062], [33.554790, 34.158703, 35.528928, 36.070486, 36.077024, 36.827255, 36.968567, 42.105418, 49.851162, 264.035421]]
### 10
fourier: [[21.512664, 21.543359, 21.862401, 21.936738, 22.983869, 23.139031, 24.912878, 27.490944, 32.587115, 199.518924], [14.128100, 14.380823, 14.603284, 15.010797, 15.024884, 15.103327, 15.651890, 17.883704, 20.614644, 88.900423], [31.136723, 31.769043, 31.856485, 32.170716, 33.179842, 33.552935, 36.158348, 40.087758, 47.113731, 215.431233], [17.244078, 17.479458, 17.688459, 17.842107, 18.266957, 18.640219, 19.867403, 21.988239, 26.057043, 153.266669], [25.935031, 26.786817, 27.034378, 27.188122, 27.277290, 28.003593, 29.670062, 33.274359, 38.835276, 180.240234], [8.973037, 9.022435, 9.045825, 9.135900, 9.633507, 9.720750, 10.609626, 11.678752, 13.659025, 69.473826], [20.618834, 21.052478, 21.533307, 21.915484, 22.026072, 22.220219, 22.926986, 26.106328, 30.334785, 122.682420]]
### 12
fourier: [[27.525279, 27.901712, 28.531504, 28.702683, 29.610400, 30.111590, 33.230301, 36.661167, 42.319788, 210.370306]]
## 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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42.31978781021162, 210.37030594795942]}}, "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": [[0.079928, -0.437089, 0.126257, -0.078578, -0.113818], [0.438716, -0.460723, -0.060684, -0.405354, 0.034189], [-0.685285, -0.538259, 0.333827, -0.159924, 0.577168], [0.528245, -0.038925, -0.20126, -0.167624, -0.137731], [0.219517, -0.348918, 0.184836, -0.249791, -0.70103], [0.520699, -0.087602, -0.499436, -0.523253, 0.224756], [0.60338, 0.771479, 0.23873, -0.146434, 0.271457]], "network.0.bias": [0.053172, 0.17529, 0.134856, 0.608649, -0.319061, -0.060751, 0.083216], "network.2.weight": [[-0.293346, 0.173677, -0.454419, 0.207258, 0.092772, -0.260965, -0.103861], [0.010619, 0.335765, -0.056371, -0.261855, -0.448226, -0.269918, 0.287959], [0.095404, -0.483229, 0.592709, 0.045947, -0.013736, -0.045414, -0.122503], [-0.129799, 0.010062, -0.334427, 0.514269, -0.468633, 0.364746, 0.536104], [-0.244663, -0.434342, -0.213047, 0.240006, 0.182645, 0.136128, -0.30257], [0.078333, -0.577173, 0.613982, -0.563781, -0.05301, -0.003156, -0.326287], [-0.504894, 0.12297, -0.529726, 0.089508, -0.251579, 0.389137, -0.220208]], "network.2.bias": [-0.336388, 0.188173, 0.021252, 0.068932, 0.03568, 0.424573, 0.152847], "network.4.weight": [[0.683779, -0.143257, -0.219934, 0.134734, 0.16325, 0.269547, -0.073482], [-0.227599, 0.146596, -0.492633, 0.759722, 0.011653, -0.000869, -0.233947], [0.128797, 0.489775, -0.329458, 0.258177, 0.200171, -0.484884, -0.018426], [-0.258855, 0.308428, -0.150906, 0.679715, -0.230315, -0.632727, -0.085756], [-0.522529, 0.424228, -0.436335, 0.137907, -0.253293, -0.507991, 0.242406], [-0.208896, -0.035596, 0.056199, 0.543922, -0.060648, -0.551899, -0.354635], [-0.19389, 0.03364, -0.220188, 0.533848, -0.576746, -0.073449, 0.064992]], "network.4.bias": [-0.189313, 0.011439, 0.09184, 0.338534, 0.558378, 0.204219, 0.025261], "network.6.weight": [[-0.216655, -0.075191, -0.343422, -0.497006, -0.34854, 0.06723, -0.325344], [0.109775, 0.281369, 0.50502, 0.068792, 0.424363, 0.425699, 0.434213], [0.071414, 0.316805, 0.229875, 0.426785, 0.739901, 0.120065, 0.34058], [-0.012446, -0.436994, 0.262943, -0.054783, -0.192285, -0.587474, -0.166692], [-0.187455, -0.315093, -0.131428, -0.056569, -0.414327, -0.279359, -0.350622], [-0.009561, -0.349788, -0.440209, -0.573417, -0.157706, -0.570072, -0.096029], [-0.040355, 0.032635, 0.074928, 0.446629, 0.452873, 0.54175, 0.255854]], "network.6.bias": [0.093177, 0.103418, 0.334301, 0.207528, -0.041806, 0.355713, 0.288813], "network.8.weight": [[0.110123, 0.436078, -0.510479, -0.148388, 0.156183, 0.032818, 0.187624], [0.064093, 0.503893, 0.052793, -0.550461, 0.289767, -0.479302, 0.493509], [-0.433536, 0.088323, 0.449937, -0.298335, -0.359755, -0.661327, 0.163418], [0.172641, -0.381579, -0.094289, 0.469314, 0.056743, 0.219594, 0.00893], [-0.035374, -0.350099, 0.126207, 0.421876, 0.312432, 0.091391, -0.247697], [0.196671, -0.200484, -0.210184, -0.226621, 0.163395, 0.227608, -0.048144], [-0.153256, 0.32221, 0.439673, 0.126205, -0.038804, -0.090354, 0.40791]], "network.8.bias": [-0.033457, 0.061224, 0.306501, -0.123348, -0.080043, 0.001284, 0.256198], "network.10.weight": [[0.185171, 0.167935, 0.464321, -0.33495, 0.135605, -0.270375, 0.197266], [-0.110431, -0.312754, -0.29997, -0.271785, -0.21551, -0.089499, 0.057528], [-0.07544, 0.465707, 0.552317, 0.2522, -0.479536, -0.269522, 0.175122], [0.281272, 0.217444, 0.018183, -0.405757, -0.492407, -0.091749, 0.308135], [-0.173467, 0.635972, 0.30129, -0.335431, -0.116403, 0.326621, 0.026901], [0.136493, -0.485406, -0.208579, 0.376821, -0.044154, -0.118569, 0.280839], [-0.133258, -0.148923, -0.227525, -0.321019, 0.059635, -0.159601, -0.321496]], "network.10.bias": [0.320621, 0.087543, -0.287083, 0.22724, -0.10153, -0.061951, 0.302763], "network.12.weight": [[-0.348057, 0.351979, -0.415421, -0.113919, -0.202252, 0.274245, 0.344888]], "network.12.bias": [0.025286]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6964457333087921, "train_acc": 0.56, "val_loss": 0.6936862468719482, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6834035515785217, "train_acc": 0.56, "val_loss": 0.6834847331047058, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6687718331813812, "train_acc": 0.56, "val_loss": 0.6261903047561646, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.609878271818161, "train_acc": 0.495, "val_loss": 0.3827175199985504, "val_acc": 0.92}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.41920748353004456, "train_acc": 0.87, "val_loss": 2.501415967941284, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 1.2321433275938034, "train_acc": 0.675, "val_loss": 0.23955708742141724, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.38743332028388977, "train_acc": 0.845, "val_loss": 0.29709330201148987, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.510749101638794, "train_acc": 0.765, "val_loss": 0.37136954069137573, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.5475117266178131, "train_acc": 0.745, "val_loss": 0.4173204302787781, "val_acc": 0.82}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6936862468719482, "final_val_loss": 0.6261903047561646, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.3827175199985504, "final_val_loss": 0.4173204302787781, "initial_val_acc": 0.92, "final_val_acc": 0.82, "best_val_acc": 0.92, "best_epoch": 3}, "improvement": 0.4, "first_improvement_epoch": 2}}
|
362
|
{"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9744, "learning_rate": 0.06106957650486293, "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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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"network.6.weight": [
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"network.10.weight": [
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[16.416273, 16.700746, 16.956214, 17.781194, 18.920397, 19.188775, 21.656786, 22.415576, 22.431540, 23.345680], [19.678551, 19.965595, 20.874111, 24.556679, 26.084320, 26.467153, 27.068336, 27.091336, 31.795238, 102.529656], [21.576265, 21.745359, 22.113104, 22.801320, 22.899717, 23.112846, 23.587873, 23.789966, 25.629595, 29.379499], [20.522420, 22.074681, 22.972590, 23.411801, 25.417713, 31.511913, 31.874333, 33.058082, 33.466516, 200.634708], [14.695783, 14.891285, 15.461576, 15.707934, 17.232349, 17.818936, 19.178772, 19.423733, 19.590750, 65.030060], [17.659932, 17.864866, 17.875649, 19.671894, 21.029704, 21.956736, 24.323929, 29.391568, 31.621174, 199.246628], [18.407224, 18.869534, 19.048368, 19.953658, 20.499060, 21.353682, 22.070990, 23.006435, 23.296710, 169.765895], [18.219397, 18.891226, 18.941123, 19.689701, 20.085705, 20.165415, 20.733559, 21.666139, 24.493558, 26.551319]]
### 2
fourier: [[25.411144, 26.482800, 26.804121, 27.621174, 31.472710, 34.346838, 37.819824, 43.896965, 44.437709, 56.447838], [27.423921, 27.458847, 28.155814, 28.579776, 29.257675, 30.744708, 31.219232, 31.468717, 35.490116, 282.033366], [15.899383, 16.204032, 16.590025, 18.251366, 18.278576, 20.136091, 20.625235, 26.554464, 28.075766, 32.198838], [32.763261, 36.854478, 36.885809, 38.091694, 38.728736, 39.688359, 45.954177, 46.986556, 50.222439, 299.950465], [12.971876, 14.179587, 15.419680, 16.631581, 20.762389, 20.867933, 22.214203, 23.803069, 25.080115, 38.812305], [17.063732, 18.238799, 19.690973, 19.692982, 19.892032, 23.683808, 25.140245, 26.350395, 27.735123, 110.342161], [22.679829, 25.051262, 25.124158, 25.285459, 25.655539, 28.143584, 30.260554, 30.634297, 33.866905, 160.361185], [24.219805, 25.288279, 25.585377, 26.533085, 26.641179, 26.680984, 27.120086, 27.330664, 27.589128, 274.740904]]
### 4
fourier: [[23.121814, 23.773773, 26.918985, 27.967176, 31.410399, 33.409336, 36.031835, 36.761525, 38.160352, 116.511974], [22.974632, 26.104189, 26.541633, 29.522937, 30.528278, 31.741755, 33.160133, 43.997323, 46.152191, 49.938524], [32.431735, 32.685175, 32.874463, 32.970526, 34.444027, 34.538389, 35.001996, 36.451802, 38.688634, 319.437155], [55.200654, 55.927889, 56.331493, 58.005953, 58.605143, 59.448840, 61.838411, 67.938918, 68.153691, 450.754946], [21.582903, 22.596474, 24.484778, 24.508889, 25.101201, 26.127039, 27.626846, 28.149335, 34.637158, 120.290356], [34.370756, 35.929427, 37.769297, 38.880691, 40.712295, 40.971170, 41.039553, 42.941469, 48.850783, 385.585278], [12.172225, 12.701124, 13.394778, 15.135345, 17.059620, 18.252630, 18.452869, 20.240402, 21.790605, 177.664379], [5.581989, 6.541533, 6.985287, 7.047752, 8.098482, 8.375821, 8.959650, 9.192892, 9.715925, 19.420357]]
### 6
fourier: [[11.643699, 12.279633, 12.510542, 12.944170, 13.106272, 13.801142, 15.725558, 15.943166, 19.704770, 92.583241], [13.528134, 13.770264, 14.039993, 14.153337, 15.304428, 16.937321, 17.013886, 19.132724, 20.766952, 80.686688], [22.221203, 23.501220, 24.618504, 26.288667, 29.584226, 30.238730, 30.964633, 31.504888, 38.069035, 144.476661], [25.556690, 25.618383, 26.448384, 26.971663, 27.128858, 30.008337, 31.488544, 31.704107, 34.156926, 253.279370], [5.591932, 5.724065, 5.810241, 6.044002, 6.156732, 6.436256, 7.610894, 9.361334, 9.435136, 101.090201], [18.839954, 19.547434, 20.099843, 21.717470, 24.707825, 25.973211, 26.843824, 28.540959, 29.405419, 125.163547], [34.142813, 35.154681, 35.191520, 36.327441, 39.377688, 44.098291, 44.605974, 47.075431, 47.684633, 214.139388], [15.889890, 15.902121, 16.290836, 16.736643, 17.621418, 18.598102, 19.832609, 21.008910, 26.354842, 62.538569]]
### 8
fourier: [[5.642417, 5.734754, 5.749154, 6.088034, 6.423661, 6.532638, 6.556242, 6.912318, 7.712359, 22.599634], [2.377386, 2.423589, 2.719827, 2.840285, 2.920540, 3.180804, 3.373996, 3.505067, 3.739566, 13.118084], [3.613869, 3.700716, 4.209240, 4.377252, 4.678598, 4.803486, 5.330995, 5.691706, 6.828659, 65.547539], [17.004152, 18.049380, 18.371694, 20.221536, 20.540917, 22.371597, 23.682979, 24.448420, 25.435986, 53.045779], [17.544062, 17.772664, 17.912219, 18.294477, 19.479006, 21.036201, 22.288663, 22.410224, 25.095123, 138.736190], [9.576546, 9.901555, 9.919610, 10.442168, 11.079559, 11.380758, 12.121004, 12.127584, 14.092803, 70.472988], [19.348082, 20.052240, 20.066666, 20.103159, 23.264606, 23.590263, 24.126118, 25.820081, 29.316250, 111.370970], [25.031014, 25.243592, 26.113858, 29.035757, 29.462064, 30.405967, 33.839449, 34.026604, 39.125189, 72.876467]]
### 10
fourier: [[20.720589, 21.167661, 22.570169, 23.010636, 23.378224, 25.558064, 27.822516, 29.416355, 30.986067, 60.566124]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.416273, 16.700746, 16.956214, 17.781194, 18.920397, 19.188775, 21.656786, 22.415576, 22.431540, 23.345680], [19.678551, 19.965595, 20.874111, 24.556679, 26.084320, 26.467153, 27.068336, 27.091336, 31.795238, 102.529656], [21.576265, 21.745359, 22.113104, 22.801320, 22.899717, 23.112846, 23.587873, 23.789966, 25.629595, 29.379499], [20.522420, 22.074681, 22.972590, 23.411801, 25.417713, 31.511913, 31.874333, 33.058082, 33.466516, 200.634708], [14.695783, 14.891285, 15.461576, 15.707934, 17.232349, 17.818936, 19.178772, 19.423733, 19.590750, 65.030060], [17.659932, 17.864866, 17.875649, 19.671894, 21.029704, 21.956736, 24.323929, 29.391568, 31.621174, 199.246628], [18.407224, 18.869534, 19.048368, 19.953658, 20.499060, 21.353682, 22.070990, 23.006435, 23.296710, 169.765895], [18.219397, 18.891226, 18.941123, 19.689701, 20.085705, 20.165415, 20.733559, 21.666139, 24.493558, 26.551319]]
### 2
fourier: [[25.411144, 26.482800, 26.804121, 27.621174, 31.472710, 34.346838, 37.819824, 43.896965, 44.437709, 56.447838], [27.423921, 27.458847, 28.155814, 28.579776, 29.257675, 30.744708, 31.219232, 31.468717, 35.490116, 282.033366], [15.899383, 16.204032, 16.590025, 18.251366, 18.278576, 20.136091, 20.625235, 26.554464, 28.075766, 32.198838], [32.763261, 36.854478, 36.885809, 38.091694, 38.728736, 39.688359, 45.954177, 46.986556, 50.222439, 299.950465], [12.971876, 14.179587, 15.419680, 16.631581, 20.762389, 20.867933, 22.214203, 23.803069, 25.080115, 38.812305], [17.063732, 18.238799, 19.690973, 19.692982, 19.892032, 23.683808, 25.140245, 26.350395, 27.735123, 110.342161], [22.679829, 25.051262, 25.124158, 25.285459, 25.655539, 28.143584, 30.260554, 30.634297, 33.866905, 160.361185], [24.219805, 25.288279, 25.585377, 26.533085, 26.641179, 26.680984, 27.120086, 27.330664, 27.589128, 274.740904]]
### 4
fourier: [[23.121814, 23.773773, 26.918985, 27.967176, 31.410399, 33.409336, 36.031835, 36.761525, 38.160352, 116.511974], [22.974632, 26.104189, 26.541633, 29.522937, 30.528278, 31.741755, 33.160133, 43.997323, 46.152191, 49.938524], [32.431735, 32.685175, 32.874463, 32.970526, 34.444027, 34.538389, 35.001996, 36.451802, 38.688634, 319.437155], [55.200654, 55.927889, 56.331493, 58.005953, 58.605143, 59.448840, 61.838411, 67.938918, 68.153691, 450.754946], [21.582903, 22.596474, 24.484778, 24.508889, 25.101201, 26.127039, 27.626846, 28.149335, 34.637158, 120.290356], [34.370756, 35.929427, 37.769297, 38.880691, 40.712295, 40.971170, 41.039553, 42.941469, 48.850783, 385.585278], [12.172225, 12.701124, 13.394778, 15.135345, 17.059620, 18.252630, 18.452869, 20.240402, 21.790605, 177.664379], [5.581989, 6.541533, 6.985287, 7.047752, 8.098482, 8.375821, 8.959650, 9.192892, 9.715925, 19.420357]]
### 6
fourier: [[11.643699, 12.279633, 12.510542, 12.944170, 13.106272, 13.801142, 15.725558, 15.943166, 19.704770, 92.583241], [13.528134, 13.770264, 14.039993, 14.153337, 15.304428, 16.937321, 17.013886, 19.132724, 20.766952, 80.686688], [22.221203, 23.501220, 24.618504, 26.288667, 29.584226, 30.238730, 30.964633, 31.504888, 38.069035, 144.476661], [25.556690, 25.618383, 26.448384, 26.971663, 27.128858, 30.008337, 31.488544, 31.704107, 34.156926, 253.279370], [5.591932, 5.724065, 5.810241, 6.044002, 6.156732, 6.436256, 7.610894, 9.361334, 9.435136, 101.090201], [18.839954, 19.547434, 20.099843, 21.717470, 24.707825, 25.973211, 26.843824, 28.540959, 29.405419, 125.163547], [34.142813, 35.154681, 35.191520, 36.327441, 39.377688, 44.098291, 44.605974, 47.075431, 47.684633, 214.139388], [15.889890, 15.902121, 16.290836, 16.736643, 17.621418, 18.598102, 19.832609, 21.008910, 26.354842, 62.538569]]
### 8
fourier: [[5.642417, 5.734754, 5.749154, 6.088034, 6.423661, 6.532638, 6.556242, 6.912318, 7.712359, 22.599634], [2.377386, 2.423589, 2.719827, 2.840285, 2.920540, 3.180804, 3.373996, 3.505067, 3.739566, 13.118084], [3.613869, 3.700716, 4.209240, 4.377252, 4.678598, 4.803486, 5.330995, 5.691706, 6.828659, 65.547539], [17.004152, 18.049380, 18.371694, 20.221536, 20.540917, 22.371597, 23.682979, 24.448420, 25.435986, 53.045779], [17.544062, 17.772664, 17.912219, 18.294477, 19.479006, 21.036201, 22.288663, 22.410224, 25.095123, 138.736190], [9.576546, 9.901555, 9.919610, 10.442168, 11.079559, 11.380758, 12.121004, 12.127584, 14.092803, 70.472988], [19.348082, 20.052240, 20.066666, 20.103159, 23.264606, 23.590263, 24.126118, 25.820081, 29.316250, 111.370970], [25.031014, 25.243592, 26.113858, 29.035757, 29.462064, 30.405967, 33.839449, 34.026604, 39.125189, 72.876467]]
### 10
fourier: [[20.720589, 21.167661, 22.570169, 23.010636, 23.378224, 25.558064, 27.822516, 29.416355, 30.986067, 60.566124]]
## 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": 0.6894036829471588, "train_acc": 0.475, "val_loss": 0.7136623859405518, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6613297462463379, "train_acc": 0.585, "val_loss": 0.7525119185447693, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6528781056404114, "train_acc": 0.585, "val_loss": 0.7269961833953857, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5836053788661957, "train_acc": 0.66, "val_loss": 0.5757800936698914, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.723747193813324, "train_acc": 0.675, "val_loss": 0.6657170057296753, "val_acc": 0.58}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5034323632717133, "train_acc": 0.78, "val_loss": 0.6585423350334167, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5330186486244202, "train_acc": 0.745, "val_loss": 0.5720149278640747, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.47528451681137085, "train_acc": 0.79, "val_loss": 0.4399687945842743, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4031050354242325, "train_acc": 0.795, "val_loss": 0.46135884523391724, "val_acc": 0.62}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3039865642786026, "train_acc": 0.795, "val_loss": 0.3405168056488037, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.2463001161813736, "train_acc": 0.93, "val_loss": 0.22735412418842316, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.17153524979948997, "train_acc": 0.93, "val_loss": 0.15264301002025604, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.23399905115365982, "train_acc": 0.92, "val_loss": 0.11232800781726837, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4355292022228241, "train_acc": 0.825, "val_loss": 0.19572612643241882, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.7136623859405518, "final_val_loss": 0.5757800936698914, "initial_val_acc": 0.5, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.6657170057296753, "final_val_loss": 0.19572612643241882, "initial_val_acc": 0.58, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 9}, "improvement": 0.36, "first_improvement_epoch": 3}}
|
363
|
{"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.8, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7944, "learning_rate": 0.08735927436399253, "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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],
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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.4.weight": [
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"network.6.weight": [
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"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[21.904746, 22.429885, 22.603794, 23.157703, 23.912390, 24.968633, 25.480235, 25.997211, 27.626864, 102.928511], [25.506666, 27.637017, 28.693270, 29.290293, 37.965119, 41.821325, 44.394684, 47.403013, 48.942041, 238.726918], [21.813681, 22.592168, 25.452335, 28.666996, 29.310457, 30.839949, 35.896899, 40.742138, 44.541092, 86.880662], [17.406633, 18.914086, 19.305860, 19.735347, 20.056531, 21.416179, 24.052241, 27.302892, 30.768772, 184.850672], [29.549251, 33.787434, 34.079542, 40.983674, 43.965206, 45.324913, 46.102458, 58.895041, 65.592868, 161.874750], [29.193045, 31.087234, 33.981905, 35.008978, 38.956765, 40.288718, 40.373415, 40.672988, 44.427440, 181.605119], [16.438347, 18.146115, 18.241663, 18.733853, 18.815427, 21.367443, 22.201579, 22.256576, 25.718902, 137.268293], [31.659945, 33.142105, 33.902136, 34.603451, 37.374848, 37.702993, 39.344199, 41.465544, 42.162984, 138.402119]]
### 2
fourier: [[74.023192, 74.230549, 77.746008, 77.975802, 85.929178, 94.547132, 104.410880, 120.895114, 142.774972, 215.565014], [20.134913, 20.138939, 20.798176, 21.272503, 22.193625, 22.477152, 22.853089, 25.413481, 37.995055, 247.830335], [41.353606, 41.702179, 41.879363, 42.257349, 44.844846, 45.743857, 47.188426, 59.442882, 59.519607, 71.236528], [50.331200, 50.996199, 56.646897, 57.194507, 58.791703, 59.644326, 73.421009, 79.100785, 85.148370, 95.943699], [13.009378, 13.290537, 13.466565, 14.049811, 14.289218, 15.747332, 16.352075, 16.747332, 21.338408, 22.848523], [13.559110, 13.836688, 13.933088, 14.488733, 14.865004, 14.915057, 15.993404, 16.320891, 24.715109, 196.215733], [16.515867, 17.176031, 20.288202, 20.582182, 21.176119, 22.392927, 23.480584, 27.602570, 34.672853, 131.706364], [52.274450, 55.812359, 56.762627, 58.706367, 61.698701, 67.759074, 78.407626, 85.693905, 101.917977, 123.799486]]
### 4
fourier: [[44.770015, 45.001929, 49.165182, 51.244881, 52.544583, 57.375590, 57.710306, 65.803170, 92.216907, 302.368097], [7.214387, 7.241359, 7.352259, 7.353883, 7.443226, 8.878372, 9.247935, 10.372900, 12.991962, 84.576090], [25.387067, 26.126490, 26.160993, 27.078414, 27.402218, 32.715682, 32.819340, 34.825638, 50.753814, 217.495915], [114.118575, 123.751475, 124.568412, 133.336585, 134.979371, 136.481291, 160.948714, 177.584021, 232.705097, 483.048762], [29.628117, 31.152938, 32.284581, 33.204450, 34.306661, 34.621191, 36.879113, 46.891994, 48.030443, 54.363491], [11.551102, 11.845101, 11.963762, 12.334559, 12.434772, 13.517768, 14.280942, 16.321533, 18.147854, 156.001024], [22.039944, 22.159374, 22.592984, 22.935023, 23.365129, 28.609410, 29.157940, 30.705771, 42.556976, 197.071561], [17.234972, 17.865961, 19.930419, 20.488337, 21.264400, 21.277407, 23.543774, 26.134414, 36.322749, 125.432495]]
### 6
fourier: [[50.129155, 52.928094, 57.487027, 58.904102, 60.490716, 64.175139, 64.814521, 74.986054, 103.831798, 305.015481], [10.350672, 10.529897, 10.742256, 11.353082, 11.404259, 11.947950, 12.283459, 12.492561, 15.258135, 109.019961], [42.337424, 44.602573, 48.442230, 49.636816, 51.198223, 54.005192, 54.828760, 63.152359, 87.636792, 252.971271], [15.657167, 15.787384, 17.175732, 17.563834, 18.891688, 19.011003, 20.234365, 22.209282, 31.561663, 133.053849], [43.961061, 47.132336, 51.265249, 52.071400, 52.470249, 56.012951, 57.865546, 67.099701, 91.340268, 247.609423], [62.422172, 66.657930, 72.459771, 74.200166, 74.354023, 79.896215, 81.525379, 94.764899, 129.627216, 400.837505], [99.244853, 108.407615, 112.849153, 118.726302, 120.769402, 122.110628, 136.886653, 155.724836, 205.642364, 450.364083], [28.643660, 29.607447, 31.043797, 31.550611, 33.786629, 35.840222, 37.892562, 39.662738, 57.707925, 206.620381]]
### 8
fourier: [[73.000587, 78.993607, 84.923617, 86.333080, 88.231369, 91.803261, 98.622683, 112.611452, 151.759027, 281.745021]]
## 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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}
## Activation Signature
### 0
fourier: [[21.904746, 22.429885, 22.603794, 23.157703, 23.912390, 24.968633, 25.480235, 25.997211, 27.626864, 102.928511], [25.506666, 27.637017, 28.693270, 29.290293, 37.965119, 41.821325, 44.394684, 47.403013, 48.942041, 238.726918], [21.813681, 22.592168, 25.452335, 28.666996, 29.310457, 30.839949, 35.896899, 40.742138, 44.541092, 86.880662], [17.406633, 18.914086, 19.305860, 19.735347, 20.056531, 21.416179, 24.052241, 27.302892, 30.768772, 184.850672], [29.549251, 33.787434, 34.079542, 40.983674, 43.965206, 45.324913, 46.102458, 58.895041, 65.592868, 161.874750], [29.193045, 31.087234, 33.981905, 35.008978, 38.956765, 40.288718, 40.373415, 40.672988, 44.427440, 181.605119], [16.438347, 18.146115, 18.241663, 18.733853, 18.815427, 21.367443, 22.201579, 22.256576, 25.718902, 137.268293], [31.659945, 33.142105, 33.902136, 34.603451, 37.374848, 37.702993, 39.344199, 41.465544, 42.162984, 138.402119]]
### 2
fourier: [[74.023192, 74.230549, 77.746008, 77.975802, 85.929178, 94.547132, 104.410880, 120.895114, 142.774972, 215.565014], [20.134913, 20.138939, 20.798176, 21.272503, 22.193625, 22.477152, 22.853089, 25.413481, 37.995055, 247.830335], [41.353606, 41.702179, 41.879363, 42.257349, 44.844846, 45.743857, 47.188426, 59.442882, 59.519607, 71.236528], [50.331200, 50.996199, 56.646897, 57.194507, 58.791703, 59.644326, 73.421009, 79.100785, 85.148370, 95.943699], [13.009378, 13.290537, 13.466565, 14.049811, 14.289218, 15.747332, 16.352075, 16.747332, 21.338408, 22.848523], [13.559110, 13.836688, 13.933088, 14.488733, 14.865004, 14.915057, 15.993404, 16.320891, 24.715109, 196.215733], [16.515867, 17.176031, 20.288202, 20.582182, 21.176119, 22.392927, 23.480584, 27.602570, 34.672853, 131.706364], [52.274450, 55.812359, 56.762627, 58.706367, 61.698701, 67.759074, 78.407626, 85.693905, 101.917977, 123.799486]]
### 4
fourier: [[44.770015, 45.001929, 49.165182, 51.244881, 52.544583, 57.375590, 57.710306, 65.803170, 92.216907, 302.368097], [7.214387, 7.241359, 7.352259, 7.353883, 7.443226, 8.878372, 9.247935, 10.372900, 12.991962, 84.576090], [25.387067, 26.126490, 26.160993, 27.078414, 27.402218, 32.715682, 32.819340, 34.825638, 50.753814, 217.495915], [114.118575, 123.751475, 124.568412, 133.336585, 134.979371, 136.481291, 160.948714, 177.584021, 232.705097, 483.048762], [29.628117, 31.152938, 32.284581, 33.204450, 34.306661, 34.621191, 36.879113, 46.891994, 48.030443, 54.363491], [11.551102, 11.845101, 11.963762, 12.334559, 12.434772, 13.517768, 14.280942, 16.321533, 18.147854, 156.001024], [22.039944, 22.159374, 22.592984, 22.935023, 23.365129, 28.609410, 29.157940, 30.705771, 42.556976, 197.071561], [17.234972, 17.865961, 19.930419, 20.488337, 21.264400, 21.277407, 23.543774, 26.134414, 36.322749, 125.432495]]
### 6
fourier: [[50.129155, 52.928094, 57.487027, 58.904102, 60.490716, 64.175139, 64.814521, 74.986054, 103.831798, 305.015481], [10.350672, 10.529897, 10.742256, 11.353082, 11.404259, 11.947950, 12.283459, 12.492561, 15.258135, 109.019961], [42.337424, 44.602573, 48.442230, 49.636816, 51.198223, 54.005192, 54.828760, 63.152359, 87.636792, 252.971271], [15.657167, 15.787384, 17.175732, 17.563834, 18.891688, 19.011003, 20.234365, 22.209282, 31.561663, 133.053849], [43.961061, 47.132336, 51.265249, 52.071400, 52.470249, 56.012951, 57.865546, 67.099701, 91.340268, 247.609423], [62.422172, 66.657930, 72.459771, 74.200166, 74.354023, 79.896215, 81.525379, 94.764899, 129.627216, 400.837505], [99.244853, 108.407615, 112.849153, 118.726302, 120.769402, 122.110628, 136.886653, 155.724836, 205.642364, 450.364083], [28.643660, 29.607447, 31.043797, 31.550611, 33.786629, 35.840222, 37.892562, 39.662738, 57.707925, 206.620381]]
### 8
fourier: [[73.000587, 78.993607, 84.923617, 86.333080, 88.231369, 91.803261, 98.622683, 112.611452, 151.759027, 281.745021]]
## 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": [21.904745821298015, 22.42988493893132, 22.60379415074816, 23.1577033840025, 23.91238987121151, 24.968633365846976, 25.480234770603833, 25.997211458743156, 27.6268637599203, 102.92851062864065]}, "1": {"fourier": [25.506666140319783, 27.637017228437706, 28.69327037556516, 29.29029282768125, 37.96511908315359, 41.82132524330928, 44.39468406998416, 47.40301250999886, 48.94204109522766, 238.72691813856363]}, "2": {"fourier": [21.81368073371359, 22.592167702426465, 25.452335211676438, 28.666995915929462, 29.31045662984521, 30.839948782487483, 35.896898985132175, 40.74213769096773, 44.54109248106963, 86.8806619644165]}, "3": {"fourier": [17.406633424303546, 18.9140859957155, 19.305860199453452, 19.735347330385444, 20.056530955603485, 21.416178776495087, 24.052241313081975, 27.30289166841506, 30.768771916802688, 184.8506724089384]}, "4": {"fourier": [29.549251396085488, 33.78743357994115, 34.07954239613537, 40.98367431287601, 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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": [[0.377935, -0.036551, 0.16601, 0.523824, -0.714285], [0.336248, 0.208957, 0.346735, -0.031289, 0.931726], [0.392356, -0.134301, -0.227272, -0.094013, 0.987347], [-0.414658, 0.083286, -0.287112, -0.353133, -0.202665], [0.486595, 0.108543, -0.122211, -0.103657, 1.385232], [-0.201461, 0.588664, 0.654688, 0.331236, -0.994389], [-0.306258, -0.336894, -0.168717, -0.143202, 0.367938], [0.728925, 0.269736, -0.56636, -0.885492, 0.474742]], "network.0.bias": [0.150798, 0.046991, 0.180426, -0.082671, -0.235601, 0.344392, -0.324457, -0.439988], "network.2.weight": [[-0.704014, 0.986112, 0.426694, -0.186136, 0.735043, -0.638818, 0.086375, 0.81839], [-0.412147, -0.093942, -0.479189, -0.291147, -0.11168, -0.443651, -0.380792, -0.429805], [0.469732, -0.598825, -0.367052, -0.002305, -0.034958, 0.715678, 0.433751, -0.241968], [-0.626842, 0.631884, 0.074948, -0.088932, 0.569904, -0.601194, -0.0263, 0.406675], [0.025922, 0.406279, -0.552167, 0.023981, -0.281608, 0.053412, -0.245745, -0.113978], [-0.19713, 0.066382, -0.142955, -0.276343, -0.269188, -0.391133, -0.193554, -0.394198], [0.194003, 0.052527, -0.518089, 0.039796, -0.237612, -0.13109, -0.608419, -0.108774], [-0.635487, 0.6563, 0.308497, 0.097825, 0.464345, -0.497642, 0.075019, 0.955477]], "network.2.bias": [-0.113798, 0.097597, 0.165502, 0.123458, -0.061008, -0.301033, -0.363838, -0.035861], "network.4.weight": [[-0.482658, -0.503917, -0.347985, -0.480023, -0.289867, 0.134425, -0.242569, -0.020482], [0.058674, -0.198871, -0.107606, -0.084931, -0.184265, 0.035048, -0.263139, -0.195197], [-0.115638, -0.010827, -0.328979, -0.535066, -0.187233, 0.06968, 0.34294, -0.016588], [0.83986, -0.026146, -0.557001, 0.469781, -0.287049, 0.032297, -0.054079, 0.888681], [-0.233931, 0.051265, 0.630682, 0.187137, 0.013426, -0.349163, -0.097645, -0.309926], [-0.168949, 0.122495, -0.398945, -0.116586, -0.098849, 0.242032, -0.15415, 0.047439], [-0.240297, -0.390881, -0.443585, -0.392271, -0.283756, 0.06965, -0.157128, 0.098858], [-0.293964, 0.09386, -0.113212, 0.042758, 0.234969, 0.066236, 0.327593, -0.040464]], "network.4.bias": [-0.021584, -0.286113, -0.325452, 0.242766, 0.346564, -0.402439, -0.03119, -0.274466], "network.6.weight": [[-0.132003, 0.071179, -0.447658, -0.494941, -0.367568, -0.221634, 0.058262, 0.162855], [-0.244525, 0.309138, -0.179475, -0.104918, -0.523474, -0.257785, -0.513215, 0.278752], [0.093974, 0.206017, -0.450771, -0.419214, -0.331468, -0.113372, -0.492516, 0.207021], [0.019328, -0.34976, 0.112393, -0.156772, -0.203124, -0.528925, -0.137091, -0.169472], [0.056743, -0.16415, -0.096741, -0.423425, -0.150648, 0.091334, 0.046147, 0.282946], [-0.187825, 0.217747, 0.405204, -0.60574, -0.283412, -0.300424, 0.126233, 0.182678], [0.372866, -0.210901, 0.540765, 0.905401, -0.350517, 0.044306, 0.44614, 0.193416], [-0.072308, -0.217538, -0.255143, -0.297232, -0.524644, -0.182298, -0.322249, 0.313317]], "network.6.bias": [0.028907, -0.002405, 0.106114, -0.301484, -0.005206, -0.451572, -0.136425, 0.087233], "network.8.weight": [[-0.127569, -0.191443, -0.149857, -0.160695, 0.034403, 0.094796, -0.761367, -0.106492]], "network.8.bias": [1.02024]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7177882194519043, "train_acc": 0.38, "val_loss": 0.6768769025802612, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6791471540927887, "train_acc": 0.545, "val_loss": 0.6093650460243225, "val_acc": 0.58}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5994364321231842, "train_acc": 0.595, "val_loss": 0.46433135867118835, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5074991285800934, "train_acc": 0.715, "val_loss": 0.43887367844581604, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.44124218821525574, "train_acc": 0.845, "val_loss": 0.4218756854534149, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4039342850446701, "train_acc": 0.85, "val_loss": 0.426901638507843, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.3471735715866089, "train_acc": 0.875, "val_loss": 0.41684409976005554, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.34172458946704865, "train_acc": 0.88, "val_loss": 0.4098004996776581, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.33653624355793, "train_acc": 0.86, "val_loss": 0.41243883967399597, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.31912069022655487, "train_acc": 0.885, "val_loss": 0.4372536838054657, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.285159669816494, "train_acc": 0.885, "val_loss": 0.4541759490966797, "val_acc": 0.78}], "summary": {"total_epochs": 11, "degraded_epochs": 2, "improved_epochs": 9, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6768769025802612, "final_val_loss": 0.6093650460243225, "initial_val_acc": 0.58, "final_val_acc": 0.58, "best_val_acc": 0.58}, "improved_stage": {"initial_val_loss": 0.46433135867118835, "final_val_loss": 0.4541759490966797, "initial_val_acc": 0.74, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 7}, "improvement": 0.22000000000000008, "first_improvement_epoch": 1}}
|
364
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6146, "learning_rate": 0.04877178844055166, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[41.828850, 41.939802, 42.670037, 42.774045, 43.202972, 48.341977, 52.414431, 56.441369, 60.082079, 201.687093], [14.046389, 14.433599, 15.453117, 15.906396, 16.365405, 17.374827, 18.954584, 19.270047, 21.560409, 135.739532], [12.692388, 12.726398, 13.038013, 13.309114, 13.364376, 13.540401, 13.925935, 15.445669, 18.441656, 23.713187], [18.774097, 19.874827, 21.058299, 22.424800, 22.909294, 30.027701, 31.891846, 32.774089, 34.035300, 39.376086], [42.334423, 44.661690, 45.964534, 48.649534, 48.983597, 50.608816, 50.622324, 50.802696, 54.514480, 246.339755], [28.357113, 30.148760, 30.152153, 30.379104, 32.094334, 32.594255, 36.082693, 41.856034, 42.479670, 194.569832], [15.484284, 16.465478, 16.739643, 17.314267, 17.378088, 18.949802, 20.513484, 21.580600, 26.087804, 32.413518], [34.781178, 37.336737, 39.951035, 42.075422, 43.087107, 44.831762, 45.738481, 51.139111, 51.412138, 217.451898]]
### 2
fourier: [[35.562809, 38.009982, 40.990262, 41.171608, 43.311423, 47.195312, 47.276399, 47.687777, 48.344852, 207.738939], [37.411360, 39.056159, 42.396438, 44.420747, 44.510314, 45.285637, 45.530377, 45.695196, 48.392787, 263.474155], [70.926278, 71.531237, 79.256439, 82.187700, 86.083729, 89.830236, 90.003722, 92.373111, 92.654871, 417.654765], [24.669811, 26.419819, 27.354367, 27.966262, 28.274074, 29.593161, 29.951162, 31.078942, 33.254610, 159.611978], [42.767419, 43.948064, 48.278047, 50.181104, 50.843126, 52.948683, 54.009719, 54.836688, 56.659487, 297.083954], [50.721771, 52.550127, 56.525563, 59.800368, 63.642731, 67.711161, 73.926722, 74.466815, 75.008760, 317.811633], [22.713140, 23.360576, 24.798236, 26.757521, 26.892908, 29.230011, 29.635623, 31.477748, 33.025009, 185.738945], [60.328464, 62.517926, 64.189085, 71.718778, 75.450442, 77.429434, 79.275134, 79.401452, 81.340123, 395.928727]]
### 4
fourier: [[113.120362, 114.469344, 117.166437, 131.158540, 135.429938, 140.626981, 146.506726, 147.340897, 151.593785, 659.430865], [13.805726, 14.365573, 14.564477, 16.493374, 17.378272, 17.737156, 18.193422, 18.282141, 18.674953, 60.647423], [106.301706, 108.015801, 110.405737, 123.772827, 127.705419, 131.880962, 138.277904, 138.458832, 142.664307, 661.869205], [102.401694, 104.504109, 106.534026, 119.769003, 123.882311, 127.454904, 133.649904, 133.723749, 137.677422, 613.706296], [11.666918, 11.824793, 12.013564, 13.351405, 13.623958, 14.397857, 15.086087, 15.242333, 15.712582, 79.706145], [23.621079, 24.483929, 26.076422, 28.108850, 28.440596, 29.092270, 30.098186, 30.781495, 31.498540, 177.222099], [65.721436, 65.859482, 66.192216, 75.716740, 78.911377, 81.566844, 85.680669, 86.606695, 88.602835, 363.396735], [43.150987, 45.934279, 49.107742, 52.878474, 54.557046, 55.530639, 55.734717, 57.082704, 58.000274, 249.946610]]
### 6
fourier: [[3.675280, 3.763437, 3.915071, 3.942928, 4.183667, 4.409855, 4.530062, 4.572368, 4.887387, 39.403042], [21.360911, 21.583156, 22.181082, 25.319621, 25.545836, 26.310199, 27.389324, 28.266749, 29.413585, 148.999682], [131.593282, 136.067183, 137.658198, 156.057794, 159.495541, 163.834501, 170.793478, 172.196226, 178.502169, 761.467102], [159.921927, 167.747411, 168.346409, 192.931286, 195.926532, 199.287266, 208.089688, 210.310886, 219.398560, 938.498564], [29.268865, 30.505506, 31.568531, 36.156403, 36.166367, 36.444792, 37.889245, 38.964706, 40.981246, 97.752284], [97.533777, 101.770876, 102.368261, 116.639206, 119.061632, 121.516423, 127.086537, 127.774103, 132.895724, 603.870288], [63.889928, 66.559899, 67.008875, 76.432508, 77.876106, 79.729381, 82.974170, 83.894601, 87.101653, 380.105398], [41.373023, 41.398697, 42.721188, 48.741230, 49.809246, 50.829100, 53.787963, 54.797948, 56.734485, 275.703330]]
### 8
fourier: [[51.145568, 53.627873, 53.821929, 61.630537, 62.773961, 64.023686, 66.672808, 67.407147, 70.098501, 260.159214], [128.184536, 133.315410, 134.701290, 153.388635, 156.439658, 160.418873, 166.662776, 168.944100, 175.079936, 694.938047], [113.570340, 118.557005, 118.881076, 136.204440, 138.426014, 141.333718, 147.393065, 149.482859, 155.624399, 674.973825], [65.846667, 68.786595, 70.775787, 80.540595, 80.965280, 81.252289, 85.556143, 86.250589, 91.055437, 437.158191], [15.723772, 16.118805, 17.782421, 17.958024, 19.105724, 19.175628, 19.570668, 19.911753, 21.284038, 126.323471], [17.379045, 17.644419, 17.669350, 20.258016, 21.036661, 21.820769, 22.614264, 23.186331, 23.805927, 139.591446], [135.142687, 139.101995, 142.640996, 160.767437, 164.775107, 170.109927, 175.898855, 178.468929, 183.800114, 714.625949], [87.780594, 88.719713, 92.644974, 103.065077, 106.505167, 111.204047, 114.242339, 116.335174, 118.666017, 440.742522]]
### 10
fourier: [[79.499593, 83.099443, 86.185304, 97.855308, 98.724307, 99.189157, 102.778495, 105.216777, 112.603416, 369.593563], [61.380569, 64.517603, 65.892808, 75.675292, 76.038928, 76.150674, 79.417900, 81.419122, 86.338857, 367.532458], [210.173161, 220.743052, 227.631133, 260.232888, 260.904118, 261.499275, 272.113180, 278.632077, 297.026734, 1147.909944], [40.720904, 42.782294, 43.846503, 50.307683, 50.440241, 50.449525, 52.700421, 53.991499, 57.252128, 171.765113], [24.510656, 25.612152, 26.457432, 30.211205, 30.351650, 30.633506, 31.650937, 32.439890, 34.810530, 52.502383], [157.697591, 165.394267, 171.301642, 194.862179, 196.195378, 196.624935, 204.138637, 208.942487, 223.339099, 850.554910], [133.860759, 140.637724, 145.324062, 165.746491, 166.475659, 166.645268, 173.373721, 177.461798, 189.299436, 726.338124], [24.451016, 25.529733, 26.718499, 30.099403, 30.473870, 30.533404, 31.439590, 32.139040, 34.711232, 141.158255]]
### 12
fourier: [[203.461836, 213.165532, 215.086628, 248.748517, 252.934129, 254.485745, 263.976033, 271.551509, 287.227415, 987.193663]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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0.628798,
0.909197,
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"network.12.weight": [
[
0.491958,
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],
"network.12.bias": [
0.582546
]
}
## Activation Signature
### 0
fourier: [[41.828850, 41.939802, 42.670037, 42.774045, 43.202972, 48.341977, 52.414431, 56.441369, 60.082079, 201.687093], [14.046389, 14.433599, 15.453117, 15.906396, 16.365405, 17.374827, 18.954584, 19.270047, 21.560409, 135.739532], [12.692388, 12.726398, 13.038013, 13.309114, 13.364376, 13.540401, 13.925935, 15.445669, 18.441656, 23.713187], [18.774097, 19.874827, 21.058299, 22.424800, 22.909294, 30.027701, 31.891846, 32.774089, 34.035300, 39.376086], [42.334423, 44.661690, 45.964534, 48.649534, 48.983597, 50.608816, 50.622324, 50.802696, 54.514480, 246.339755], [28.357113, 30.148760, 30.152153, 30.379104, 32.094334, 32.594255, 36.082693, 41.856034, 42.479670, 194.569832], [15.484284, 16.465478, 16.739643, 17.314267, 17.378088, 18.949802, 20.513484, 21.580600, 26.087804, 32.413518], [34.781178, 37.336737, 39.951035, 42.075422, 43.087107, 44.831762, 45.738481, 51.139111, 51.412138, 217.451898]]
### 2
fourier: [[35.562809, 38.009982, 40.990262, 41.171608, 43.311423, 47.195312, 47.276399, 47.687777, 48.344852, 207.738939], [37.411360, 39.056159, 42.396438, 44.420747, 44.510314, 45.285637, 45.530377, 45.695196, 48.392787, 263.474155], [70.926278, 71.531237, 79.256439, 82.187700, 86.083729, 89.830236, 90.003722, 92.373111, 92.654871, 417.654765], [24.669811, 26.419819, 27.354367, 27.966262, 28.274074, 29.593161, 29.951162, 31.078942, 33.254610, 159.611978], [42.767419, 43.948064, 48.278047, 50.181104, 50.843126, 52.948683, 54.009719, 54.836688, 56.659487, 297.083954], [50.721771, 52.550127, 56.525563, 59.800368, 63.642731, 67.711161, 73.926722, 74.466815, 75.008760, 317.811633], [22.713140, 23.360576, 24.798236, 26.757521, 26.892908, 29.230011, 29.635623, 31.477748, 33.025009, 185.738945], [60.328464, 62.517926, 64.189085, 71.718778, 75.450442, 77.429434, 79.275134, 79.401452, 81.340123, 395.928727]]
### 4
fourier: [[113.120362, 114.469344, 117.166437, 131.158540, 135.429938, 140.626981, 146.506726, 147.340897, 151.593785, 659.430865], [13.805726, 14.365573, 14.564477, 16.493374, 17.378272, 17.737156, 18.193422, 18.282141, 18.674953, 60.647423], [106.301706, 108.015801, 110.405737, 123.772827, 127.705419, 131.880962, 138.277904, 138.458832, 142.664307, 661.869205], [102.401694, 104.504109, 106.534026, 119.769003, 123.882311, 127.454904, 133.649904, 133.723749, 137.677422, 613.706296], [11.666918, 11.824793, 12.013564, 13.351405, 13.623958, 14.397857, 15.086087, 15.242333, 15.712582, 79.706145], [23.621079, 24.483929, 26.076422, 28.108850, 28.440596, 29.092270, 30.098186, 30.781495, 31.498540, 177.222099], [65.721436, 65.859482, 66.192216, 75.716740, 78.911377, 81.566844, 85.680669, 86.606695, 88.602835, 363.396735], [43.150987, 45.934279, 49.107742, 52.878474, 54.557046, 55.530639, 55.734717, 57.082704, 58.000274, 249.946610]]
### 6
fourier: [[3.675280, 3.763437, 3.915071, 3.942928, 4.183667, 4.409855, 4.530062, 4.572368, 4.887387, 39.403042], [21.360911, 21.583156, 22.181082, 25.319621, 25.545836, 26.310199, 27.389324, 28.266749, 29.413585, 148.999682], [131.593282, 136.067183, 137.658198, 156.057794, 159.495541, 163.834501, 170.793478, 172.196226, 178.502169, 761.467102], [159.921927, 167.747411, 168.346409, 192.931286, 195.926532, 199.287266, 208.089688, 210.310886, 219.398560, 938.498564], [29.268865, 30.505506, 31.568531, 36.156403, 36.166367, 36.444792, 37.889245, 38.964706, 40.981246, 97.752284], [97.533777, 101.770876, 102.368261, 116.639206, 119.061632, 121.516423, 127.086537, 127.774103, 132.895724, 603.870288], [63.889928, 66.559899, 67.008875, 76.432508, 77.876106, 79.729381, 82.974170, 83.894601, 87.101653, 380.105398], [41.373023, 41.398697, 42.721188, 48.741230, 49.809246, 50.829100, 53.787963, 54.797948, 56.734485, 275.703330]]
### 8
fourier: [[51.145568, 53.627873, 53.821929, 61.630537, 62.773961, 64.023686, 66.672808, 67.407147, 70.098501, 260.159214], [128.184536, 133.315410, 134.701290, 153.388635, 156.439658, 160.418873, 166.662776, 168.944100, 175.079936, 694.938047], [113.570340, 118.557005, 118.881076, 136.204440, 138.426014, 141.333718, 147.393065, 149.482859, 155.624399, 674.973825], [65.846667, 68.786595, 70.775787, 80.540595, 80.965280, 81.252289, 85.556143, 86.250589, 91.055437, 437.158191], [15.723772, 16.118805, 17.782421, 17.958024, 19.105724, 19.175628, 19.570668, 19.911753, 21.284038, 126.323471], [17.379045, 17.644419, 17.669350, 20.258016, 21.036661, 21.820769, 22.614264, 23.186331, 23.805927, 139.591446], [135.142687, 139.101995, 142.640996, 160.767437, 164.775107, 170.109927, 175.898855, 178.468929, 183.800114, 714.625949], [87.780594, 88.719713, 92.644974, 103.065077, 106.505167, 111.204047, 114.242339, 116.335174, 118.666017, 440.742522]]
### 10
fourier: [[79.499593, 83.099443, 86.185304, 97.855308, 98.724307, 99.189157, 102.778495, 105.216777, 112.603416, 369.593563], [61.380569, 64.517603, 65.892808, 75.675292, 76.038928, 76.150674, 79.417900, 81.419122, 86.338857, 367.532458], [210.173161, 220.743052, 227.631133, 260.232888, 260.904118, 261.499275, 272.113180, 278.632077, 297.026734, 1147.909944], [40.720904, 42.782294, 43.846503, 50.307683, 50.440241, 50.449525, 52.700421, 53.991499, 57.252128, 171.765113], [24.510656, 25.612152, 26.457432, 30.211205, 30.351650, 30.633506, 31.650937, 32.439890, 34.810530, 52.502383], [157.697591, 165.394267, 171.301642, 194.862179, 196.195378, 196.624935, 204.138637, 208.942487, 223.339099, 850.554910], [133.860759, 140.637724, 145.324062, 165.746491, 166.475659, 166.645268, 173.373721, 177.461798, 189.299436, 726.338124], [24.451016, 25.529733, 26.718499, 30.099403, 30.473870, 30.533404, 31.439590, 32.139040, 34.711232, 141.158255]]
### 12
fourier: [[203.461836, 213.165532, 215.086628, 248.748517, 252.934129, 254.485745, 263.976033, 271.551509, 287.227415, 987.193663]]
## 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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"layer_info": {"num_neurons": 8, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [203.46183625195818, 213.16553246411542, 215.08662804421718, 248.74851738523063, 252.93412897862103, 254.48574466784862, 263.9760334032948, 271.5515086827132, 287.2274149885133, 987.1936628818512]}}, "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": "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.320995, 0.073785, 0.020515, 0.416914, 0.221299], [-0.351983, -0.301096, 0.051962, -0.019864, -0.216887], [-0.239503, -0.159947, 0.119278, -0.289904, 0.354377], [0.112121, -0.735975, 0.539082, -0.117517, -0.020045], [1.176379, 0.801371, -0.014928, -0.126177, -0.058646], [0.652537, 0.562042, 0.176344, 0.264163, -0.067163], [0.331484, 0.440897, -0.426933, 0.039574, -0.226989], [1.055696, 0.234951, 0.336656, 0.411539, -0.104641]], "network.0.bias": [-0.747227, -0.319982, 0.447223, -0.085282, 0.186988, -0.526336, 0.024361, -0.782458], "network.2.weight": [[0.204968, -0.266138, 0.050747, 0.373017, 0.195331, 0.248517, 0.004497, 0.384707], [-0.441214, -0.11572, 0.084981, -0.013991, -0.284283, -0.347194, -0.066494, 0.040292], [0.253648, -0.033526, 0.226731, 0.725988, 0.810399, 0.251712, 0.346391, 0.50592], [-0.487121, -0.19022, 0.050579, -0.033411, -0.116683, -0.10816, -0.125745, 0.094456], [-0.346342, 0.306435, 0.190346, -0.293224, -0.275905, -0.473878, 0.094466, -0.16505], [0.27719, 0.196221, -0.119318, 1.132232, 0.514039, -0.054246, 0.012798, 0.595941], [-0.368702, -0.185817, -0.351231, 0.115767, 0.012732, -0.462972, -0.40909, 0.151568], [0.306371, -0.070742, 0.31263, 0.830944, 0.952911, 0.315028, 0.12387, 0.006147]], "network.2.bias": [-0.398, -0.414464, -0.597415, -0.227129, -0.274056, -0.299139, -0.236342, -0.182368], "network.4.weight": [[0.469213, 0.107247, 0.504082, 0.031893, 0.340496, 0.627826, -0.179035, 0.434511], [-0.042818, -0.004252, -0.013021, 0.004216, -0.279846, -0.002211, 0.333584, 0.271585], [-0.089537, 0.046641, -0.705009, -0.482936, 0.098102, -0.611753, -0.030762, -0.333556], [-0.096741, 0.098705, 0.657503, 0.21074, -0.142096, 0.535063, 0.378339, 0.506794], [-0.121549, 0.118974, -0.076368, -0.008337, 0.018876, -0.108958, 0.079479, 0.066149], [0.132093, -0.507333, -0.501578, -0.470415, -0.113077, -0.10012, 0.147889, 0.199526], [0.099274, -0.445671, 0.043703, 0.003235, -0.177671, 0.472034, 0.02634, 0.54615], [-0.219562, -0.111318, 0.524812, -0.022871, 0.343218, -0.152001, -0.21351, 0.382479]], "network.4.bias": [-0.287198, -0.351714, -0.193802, -0.169653, -0.144816, -0.452163, -0.486011, -0.305697], "network.6.weight": [[0.111272, 0.061825, -0.10312, -0.111783, 0.126509, -0.041676, 0.180808, -0.375258], [-0.340503, -0.10923, -0.162295, 0.235499, 0.247373, -0.283843, -0.133458, 0.065177], [0.713271, -0.092457, 0.118272, 0.336328, -0.030762, -0.135326, 0.107017, 0.274644], [0.52427, 0.455608, -0.417307, 0.311304, 0.123987, -0.000361, 0.61512, 0.576034], [-0.168691, -0.090638, 0.150804, 0.228417, -0.205415, 0.159653, -0.378026, -0.196708], [-0.254983, -0.27515, 0.16396, -0.492158, 0.096327, -0.194353, -0.092788, -0.222187], [-0.216197, 0.249887, 0.269183, -0.110976, -0.304126, 0.113627, -0.291205, -0.303343], [-0.024301, -0.255659, -0.478131, -0.276858, 0.01696, 0.008488, -0.28508, 0.262621]], "network.6.bias": [0.652914, -0.317219, -0.224524, -0.023223, 0.759022, -0.266196, -0.015643, -0.37793], "network.8.weight": [[-0.084231, 0.102532, -0.103189, 0.401342, -0.096122, -0.003336, 0.331517, 0.115599], [-0.176371, -0.046941, 0.379717, 0.481754, -0.360442, 0.208019, 0.134374, -0.358825], [-0.250744, 0.105668, -0.326687, -0.444328, 0.097313, -0.138981, 0.144351, -0.295839], [-0.183115, -0.298494, 0.050662, -0.462867, -0.344848, 0.042735, -0.140924, 0.110105], [0.160325, 0.128034, 0.129139, -0.206761, -0.456556, -0.148848, 0.032905, 0.186306], [-0.280375, -0.271701, 0.254952, -0.316536, 0.189214, -0.089555, -0.062415, 0.015743], [-0.539489, 0.000802, 0.500887, 0.413741, -0.7445, -0.058867, 0.063327, -0.194911], [-0.401165, 0.348613, 0.428784, 0.175459, -0.863696, 0.30483, -0.180215, 0.105088]], "network.8.bias": [-0.357794, -0.357442, -0.003065, -0.291073, -0.302152, -0.333821, -0.198486, -0.177047], "network.10.weight": [[-0.138782, -0.084477, -0.133068, -0.492495, -0.087331, -0.239272, -0.106322, -0.571822], [0.320815, -0.340924, -0.29634, 0.297449, -0.196964, 0.208616, -0.132753, -0.203343], [0.282992, 0.673248, -0.042179, 0.055033, 0.313412, 0.172703, 0.563719, 0.450671], [0.073841, -0.328215, 0.025328, 0.341666, -0.161368, 0.016315, 0.049736, -0.115888], [0.096752, 0.157059, -0.167532, 0.191991, -0.078406, 0.307834, -0.241719, -0.205399], [0.536664, 0.274891, -0.08337, 0.306954, -0.166842, 0.079034, 0.430466, 0.478914], [0.454014, 0.46252, -0.144748, 0.187557, 0.005161, -0.037166, 0.306431, 0.157896], [-0.294915, 0.239005, -0.411376, -0.258316, -0.422638, 0.295817, -0.390958, 0.13843]], "network.10.bias": [0.746927, -0.253662, -0.229908, 0.628798, 0.909197, -0.232115, -0.191188, -0.096477], "network.12.weight": [[0.491958, 0.3492, -0.572049, 0.27552, 0.882207, -0.277574, -0.256409, 0.179781]], "network.12.bias": [0.582546]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6967812776565552, "train_acc": 0.45, "val_loss": 0.6940622925758362, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789974570274353, "train_acc": 0.56, "val_loss": 0.6641213893890381, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6352584064006805, "train_acc": 0.56, "val_loss": 0.5915908813476562, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6623797118663788, "train_acc": 0.585, "val_loss": 0.6292986273765564, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6268908083438873, "train_acc": 0.82, "val_loss": 0.5029369592666626, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.52165088057518, "train_acc": 0.755, "val_loss": 0.4683264195919037, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.48676797747612, "train_acc": 0.795, "val_loss": 0.3880405128002167, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.43632467091083527, "train_acc": 0.825, "val_loss": 0.32884228229522705, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.386183500289917, "train_acc": 0.845, "val_loss": 0.2600213885307312, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.31749796867370605, "train_acc": 0.86, "val_loss": 0.18710504472255707, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.26255281269550323, "train_acc": 0.91, "val_loss": 0.17225566506385803, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.23827318102121353, "train_acc": 0.91, "val_loss": 0.12320351600646973, "val_acc": 0.98}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.17737143486738205, "train_acc": 0.945, "val_loss": 0.10796239972114563, "val_acc": 0.98}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6940622925758362, "final_val_loss": 0.5915908813476562, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.6292986273765564, "final_val_loss": 0.10796239972114563, "initial_val_acc": 0.88, "final_val_acc": 0.98, "best_val_acc": 0.98, "best_epoch": 11}, "improvement": 0.48, "first_improvement_epoch": 2}}
|
365
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4944, "learning_rate": 0.05463273688948185, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.788111,
-0.120323,
0.044728,
0.470099,
0.395197
],
[
0.989598,
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0.16686,
0.17354,
0.307132
],
[
0.815096,
-0.118705,
0.000872,
0.209214,
-0.223703
],
[
-0.021017,
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-0.044466,
-0.151942,
-0.303414
],
[
-0.312694,
-0.198738,
0.42308,
-0.371681,
-0.556429
],
[
0.827072,
0.56786,
0.156374,
0.207589,
-0.473164
]
],
"network.0.bias": [
-0.329196,
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0.734325,
-0.645212,
-0.531253,
0.146723
],
"network.2.weight": [
[
0.165252,
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-0.4625,
0.131636,
-0.351172,
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],
[
-0.382599,
-0.0442,
-0.045456,
-0.776152,
0.314335,
0.476101
],
[
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0.316777,
-0.441708,
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0.609247
],
[
0.031772,
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0.210233,
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-0.106889,
-0.451206
],
[
-0.344796,
0.303612,
0.233652,
-0.097013,
-0.131786,
0.303631
],
[
0.242575,
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-0.320848,
0.408343,
0.189992,
0.107156
]
],
"network.2.bias": [
-0.416363,
0.369432,
0.099789,
-0.301105,
-0.264659,
-0.520316
],
"network.4.weight": [
[
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0.81193,
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],
[
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0.404296,
0.333557,
0.397516,
0.713644,
0.23523
],
[
0.805015,
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0.246663,
0.440885
],
[
0.593533,
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0.411038,
0.797042,
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0.416872
],
[
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],
[
-0.034205,
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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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0.42424
]
],
"network.6.bias": [
-0.307902,
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0.39406,
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-0.070165
],
"network.8.weight": [
[
-0.43806,
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0.498504,
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]
],
"network.8.bias": [
0.152827
]
}
## Activation Signature
### 0
fourier: [[24.802102, 24.865801, 25.702220, 26.375678, 26.739799, 26.914680, 30.308387, 32.022434, 35.648851, 38.924975], [27.412477, 27.935830, 30.206172, 32.182533, 32.794780, 37.698716, 39.049110, 44.416230, 52.148935, 148.282127], [21.308815, 21.539352, 22.777863, 23.195782, 26.882584, 26.969991, 27.296069, 30.744469, 31.621520, 153.623408], [11.023952, 11.248119, 11.459257, 13.137032, 13.152201, 14.366915, 15.740947, 16.571552, 16.659391, 168.123937], [20.287882, 22.686869, 23.724192, 24.580933, 25.554510, 26.239874, 26.338295, 28.938694, 30.018671, 169.386430], [33.004282, 33.440388, 34.446110, 37.491031, 38.131302, 38.335712, 39.931821, 43.705750, 46.194960, 215.908058]]
### 2
fourier: [[30.233980, 30.393081, 30.846949, 31.113108, 33.300567, 33.944651, 38.273110, 38.756875, 40.194008, 211.082479], [14.088245, 14.301319, 15.885673, 16.791568, 17.906133, 18.416496, 20.506621, 21.804294, 23.878798, 104.864676], [36.648431, 39.861361, 42.433665, 45.150015, 47.329347, 49.304006, 50.016692, 50.650514, 59.323117, 204.762422], [16.511767, 18.288726, 18.608132, 19.124830, 19.364800, 20.184225, 20.456926, 22.623859, 22.637299, 124.158948], [23.989675, 24.647320, 26.630966, 27.038865, 28.332519, 29.569292, 31.438863, 32.066673, 35.328346, 99.760383], [16.768407, 20.100694, 21.998844, 22.199952, 23.093787, 24.458972, 25.969418, 26.445221, 33.209272, 129.770042]]
### 4
fourier: [[50.139753, 50.423195, 51.005275, 53.979723, 55.081242, 58.146721, 61.558785, 63.974564, 65.958815, 278.762134], [36.653880, 38.788686, 38.986580, 40.313326, 41.408879, 45.451447, 45.496236, 47.625609, 49.304044, 157.879473], [19.591386, 19.645212, 20.847454, 22.063931, 22.884034, 23.122293, 24.096125, 24.133984, 25.591834, 183.079570], [36.237769, 38.811945, 38.943202, 40.808928, 41.068731, 45.417648, 45.560993, 47.198634, 49.416679, 176.647988], [24.796443, 24.961510, 25.139257, 26.135945, 26.195844, 26.893707, 31.013829, 32.531837, 32.722547, 61.835813], [28.283964, 28.359718, 28.777226, 29.297709, 30.099628, 31.129152, 35.047639, 36.527945, 36.728229, 136.044829]]
### 6
fourier: [[60.463239, 61.871459, 63.919713, 67.076187, 67.752375, 74.221137, 74.841257, 79.532643, 81.359917, 248.868587], [90.032951, 92.355004, 96.067294, 98.167829, 101.002404, 108.289664, 111.944697, 118.341944, 119.110126, 432.289396], [79.997965, 84.563317, 87.511283, 87.812403, 91.382027, 97.122985, 100.239551, 104.945546, 105.471559, 371.896809], [24.726110, 25.637809, 26.820524, 28.239782, 28.837064, 31.555251, 32.060573, 34.711968, 36.859685, 68.841969], [53.648385, 54.381284, 56.238695, 59.533531, 59.946694, 65.314692, 66.179703, 70.241576, 71.929742, 241.848580], [70.008014, 71.359801, 74.239722, 76.308810, 78.274436, 84.254581, 86.837758, 91.977135, 92.950743, 322.628875]]
### 8
fourier: [[165.534789, 173.519046, 183.490517, 184.694270, 191.330285, 205.437451, 208.857196, 219.426949, 223.014194, 756.083163]]
## 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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.788111,
-0.120323,
0.044728,
0.470099,
0.395197
],
[
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0.16686,
0.17354,
0.307132
],
[
0.815096,
-0.118705,
0.000872,
0.209214,
-0.223703
],
[
-0.021017,
-0.22157,
-0.044466,
-0.151942,
-0.303414
],
[
-0.312694,
-0.198738,
0.42308,
-0.371681,
-0.556429
],
[
0.827072,
0.56786,
0.156374,
0.207589,
-0.473164
]
],
"network.0.bias": [
-0.329196,
-0.233775,
0.734325,
-0.645212,
-0.531253,
0.146723
],
"network.2.weight": [
[
0.165252,
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0.131636,
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-0.332329
],
[
-0.382599,
-0.0442,
-0.045456,
-0.776152,
0.314335,
0.476101
],
[
-0.697687,
0.402268,
0.316777,
-0.441708,
-0.855048,
0.609247
],
[
0.031772,
-0.258909,
0.210233,
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-0.106889,
-0.451206
],
[
-0.344796,
0.303612,
0.233652,
-0.097013,
-0.131786,
0.303631
],
[
0.242575,
-0.486013,
-0.320848,
0.408343,
0.189992,
0.107156
]
],
"network.2.bias": [
-0.416363,
0.369432,
0.099789,
-0.301105,
-0.264659,
-0.520316
],
"network.4.weight": [
[
-0.015946,
0.774582,
0.81193,
0.283862,
0.241533,
0.411638
],
[
0.408472,
0.404296,
0.333557,
0.397516,
0.713644,
0.23523
],
[
0.805015,
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0.246663,
0.440885
],
[
0.593533,
0.322047,
0.411038,
0.797042,
0.607421,
0.416872
],
[
-0.301694,
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-0.192933,
-0.591427,
-0.224563,
-0.454239
],
[
-0.034205,
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0.175202,
0.339844,
0.421603,
-0.136426
]
],
"network.4.bias": [
0.122308,
-0.189853,
-0.642165,
0.122754,
0.722622,
-0.199497
],
"network.6.weight": [
[
0.402476,
0.51346,
0.208681,
0.527752,
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0.03493
],
[
0.686598,
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0.248262,
0.492425,
-0.438184,
0.630809
],
[
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0.234753,
0.025316,
0.435026
],
[
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0.037794,
0.72548,
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],
[
0.513127,
0.098457,
0.499507,
0.628405,
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0.002546
],
[
0.52461,
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0.42424
]
],
"network.6.bias": [
-0.307902,
0.016775,
-0.316338,
0.39406,
-0.145976,
-0.070165
],
"network.8.weight": [
[
-0.43806,
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0.498504,
-0.46226,
-0.736443
]
],
"network.8.bias": [
0.152827
]
}
## Activation Signature
### 0
fourier: [[24.802102, 24.865801, 25.702220, 26.375678, 26.739799, 26.914680, 30.308387, 32.022434, 35.648851, 38.924975], [27.412477, 27.935830, 30.206172, 32.182533, 32.794780, 37.698716, 39.049110, 44.416230, 52.148935, 148.282127], [21.308815, 21.539352, 22.777863, 23.195782, 26.882584, 26.969991, 27.296069, 30.744469, 31.621520, 153.623408], [11.023952, 11.248119, 11.459257, 13.137032, 13.152201, 14.366915, 15.740947, 16.571552, 16.659391, 168.123937], [20.287882, 22.686869, 23.724192, 24.580933, 25.554510, 26.239874, 26.338295, 28.938694, 30.018671, 169.386430], [33.004282, 33.440388, 34.446110, 37.491031, 38.131302, 38.335712, 39.931821, 43.705750, 46.194960, 215.908058]]
### 2
fourier: [[30.233980, 30.393081, 30.846949, 31.113108, 33.300567, 33.944651, 38.273110, 38.756875, 40.194008, 211.082479], [14.088245, 14.301319, 15.885673, 16.791568, 17.906133, 18.416496, 20.506621, 21.804294, 23.878798, 104.864676], [36.648431, 39.861361, 42.433665, 45.150015, 47.329347, 49.304006, 50.016692, 50.650514, 59.323117, 204.762422], [16.511767, 18.288726, 18.608132, 19.124830, 19.364800, 20.184225, 20.456926, 22.623859, 22.637299, 124.158948], [23.989675, 24.647320, 26.630966, 27.038865, 28.332519, 29.569292, 31.438863, 32.066673, 35.328346, 99.760383], [16.768407, 20.100694, 21.998844, 22.199952, 23.093787, 24.458972, 25.969418, 26.445221, 33.209272, 129.770042]]
### 4
fourier: [[50.139753, 50.423195, 51.005275, 53.979723, 55.081242, 58.146721, 61.558785, 63.974564, 65.958815, 278.762134], [36.653880, 38.788686, 38.986580, 40.313326, 41.408879, 45.451447, 45.496236, 47.625609, 49.304044, 157.879473], [19.591386, 19.645212, 20.847454, 22.063931, 22.884034, 23.122293, 24.096125, 24.133984, 25.591834, 183.079570], [36.237769, 38.811945, 38.943202, 40.808928, 41.068731, 45.417648, 45.560993, 47.198634, 49.416679, 176.647988], [24.796443, 24.961510, 25.139257, 26.135945, 26.195844, 26.893707, 31.013829, 32.531837, 32.722547, 61.835813], [28.283964, 28.359718, 28.777226, 29.297709, 30.099628, 31.129152, 35.047639, 36.527945, 36.728229, 136.044829]]
### 6
fourier: [[60.463239, 61.871459, 63.919713, 67.076187, 67.752375, 74.221137, 74.841257, 79.532643, 81.359917, 248.868587], [90.032951, 92.355004, 96.067294, 98.167829, 101.002404, 108.289664, 111.944697, 118.341944, 119.110126, 432.289396], [79.997965, 84.563317, 87.511283, 87.812403, 91.382027, 97.122985, 100.239551, 104.945546, 105.471559, 371.896809], [24.726110, 25.637809, 26.820524, 28.239782, 28.837064, 31.555251, 32.060573, 34.711968, 36.859685, 68.841969], [53.648385, 54.381284, 56.238695, 59.533531, 59.946694, 65.314692, 66.179703, 70.241576, 71.929742, 241.848580], [70.008014, 71.359801, 74.239722, 76.308810, 78.274436, 84.254581, 86.837758, 91.977135, 92.950743, 322.628875]]
### 8
fourier: [[165.534789, 173.519046, 183.490517, 184.694270, 191.330285, 205.437451, 208.857196, 219.426949, 223.014194, 756.083163]]
## 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": [24.802101793250312, 24.86580070826679, 25.70221979143968, 26.37567764276216, 26.739799364597506, 26.914680224284826, 30.308386539955826, 32.02243415845461, 35.6488513655059, 38.924974507073046]}, "1": {"fourier": [27.412476573043122, 27.935829734541844, 30.20617231785528, 32.182532689845836, 32.79478036714927, 37.69871553583877, 39.04910978594956, 44.41622960286273, 52.14893497029961, 148.28212682902813]}, "2": {"fourier": [21.308815047680383, 21.53935225189625, 22.77786338529603, 23.195781910366602, 26.882583610632434, 26.969991435563276, 27.29606931088194, 30.744469207596712, 31.621519563164263, 153.62340793013573]}, "3": {"fourier": [11.023952480249077, 11.248118976719926, 11.459256780847582, 13.137032429502728, 13.15220077650407, 14.366915239350496, 15.7409465188472, 16.571552063188474, 16.659391415760503, 168.12393695116043]}, "4": {"fourier": [20.287881560069366, 22.686869009125925, 23.72419170481814, 24.580933326172726, 25.55450972861429, 26.23987415785136, 26.338294849978002, 28.938694269741898, 30.018671403571137, 169.38643008470535]}, "5": {"fourier": [33.004282229844044, 33.44038766745728, 34.4461100537602, 37.49103131502158, 38.13130230403333, 38.33571196486924, 39.9318213720219, 43.70574963877543, 46.19496004154939, 215.9080582857132]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [30.233980424218277, 30.393081336077703, 30.846948883724377, 31.11310835485198, 33.300566503032115, 33.944650897080514, 38.27311040198957, 38.75687539499349, 40.194008315248425, 211.0824789404869]}, "1": {"fourier": [14.088245182250274, 14.30131906806389, 15.885672623021568, 16.791567547518287, 17.90613314751602, 18.41649601539245, 20.506620731490585, 21.80429368736226, 23.878798484423605, 104.8646764755249]}, "2": {"fourier": [36.64843118934006, 39.86136136442461, 42.43366479734258, 45.150015144282996, 47.32934744684315, 49.30400560168356, 50.01669174791531, 50.65051379760507, 59.32311736457405, 204.76242226362228]}, "3": {"fourier": [16.51176688501296, 18.288726267187997, 18.60813240786132, 19.124830024873276, 19.364800130156368, 20.18422506882673, 20.456926142588344, 22.623859327053065, 22.637298747208355, 124.15894828736782]}, "4": {"fourier": [23.98967451545594, 24.647320154126596, 26.630965935204426, 27.038864583932092, 28.332518872063613, 29.56929214492174, 31.4388629335536, 32.06667290121312, 35.328345742718646, 99.7603834271431]}, "5": {"fourier": [16.768406720372244, 20.10069445164477, 21.99884358746857, 22.199951882698887, 23.093787358047333, 24.45897220415604, 25.96941792977778, 26.44522065282098, 33.209272097513285, 129.77004212141037]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [50.13975334438438, 50.42319474202893, 51.005275155776, 53.979723278803085, 55.08124209067444, 58.14672144429843, 61.558784758116964, 63.97456388387078, 65.95881497165972, 278.76213435828686]}, "1": {"fourier": [36.65387962914422, 38.78868553150139, 38.98657986364709, 40.313326060897836, 41.40887851240683, 45.45144733912891, 45.49623587390645, 47.62560874946893, 49.30404445262969, 157.87947296351194]}, "2": {"fourier": [19.591385856180892, 19.645212165431165, 20.847453583725922, 22.06393067749005, 22.8840339664409, 23.12229262188513, 24.096124944842494, 24.13398385124553, 25.5918335710984, 183.07956993579865]}, "3": {"fourier": [36.23776903474344, 38.81194549767588, 38.943202486021015, 40.808928404313946, 41.06873149457808, 45.41764772122004, 45.56099330432817, 47.19863434761486, 49.416678805176765, 176.64798758924007]}, "4": {"fourier": [24.79644327375646, 24.96151025510441, 25.139257448231305, 26.135945170175038, 26.19584438468915, 26.893707320682672, 31.01382934344678, 32.53183739169596, 32.72254740824908, 61.83581346273422]}, "5": {"fourier": [28.283963855380883, 28.35971788092524, 28.777226000858132, 29.2977090929203, 30.099627774163825, 31.129152377492268, 35.047639019129086, 36.52794549470062, 36.72822945421136, 136.04482922703028]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [60.463239099845296, 61.87145920676385, 63.919713012695574, 67.0761873404022, 67.75237493368417, 74.22113705828008, 74.84125694837577, 79.53264284418823, 81.35991701298639, 248.86858734488487]}, "1": {"fourier": [90.03295104275495, 92.3550041258362, 96.06729351282587, 98.1678285799929, 101.00240431580859, 108.28966395192687, 111.94469709796014, 118.34194393788253, 119.11012640855866, 432.28939551115036]}, "2": {"fourier": [79.99796476762944, 84.56331704986663, 87.51128349174274, 87.81240308370508, 91.38202737675257, 97.12298482671679, 100.23955125492255, 104.94554575776714, 105.47155879437086, 371.8968094289303]}, "3": {"fourier": [24.72610952780615, 25.637809153403087, 26.82052405694659, 28.239781747060885, 28.83706410287467, 31.55525055394467, 32.06057348997655, 34.71196756038017, 36.85968529739862, 68.8419692069292]}, "4": {"fourier": [53.648384644740624, 54.38128410988468, 56.23869461858375, 59.53353131544708, 59.94669376916331, 65.31469224289879, 66.17970295627408, 70.24157630520376, 71.92974245635178, 241.8485800549388]}, "5": {"fourier": [70.00801378613073, 71.35980128125621, 74.23972171875369, 76.30880999783926, 78.27443576584022, 84.25458113746429, 86.83775782272038, 91.97713492907124, 92.95074325456517, 322.62887451797724]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [165.53478910281314, 173.5190460017281, 183.49051657651498, 184.69427017523577, 191.33028471879655, 205.4374512733181, 208.85719594882204, 219.4269491315569, 223.0141938203759, 756.0831627100706]}}, "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": [[-0.788111, -0.120323, 0.044728, 0.470099, 0.395197], [0.989598, -0.246754, 0.16686, 0.17354, 0.307132], [0.815096, -0.118705, 0.000872, 0.209214, -0.223703], [-0.021017, -0.22157, -0.044466, -0.151942, -0.303414], [-0.312694, -0.198738, 0.42308, -0.371681, -0.556429], [0.827072, 0.56786, 0.156374, 0.207589, -0.473164]], "network.0.bias": [-0.329196, -0.233775, 0.734325, -0.645212, -0.531253, 0.146723], "network.2.weight": [[0.165252, -0.291544, -0.4625, 0.131636, -0.351172, -0.332329], [-0.382599, -0.0442, -0.045456, -0.776152, 0.314335, 0.476101], [-0.697687, 0.402268, 0.316777, -0.441708, -0.855048, 0.609247], [0.031772, -0.258909, 0.210233, -0.899647, -0.106889, -0.451206], [-0.344796, 0.303612, 0.233652, -0.097013, -0.131786, 0.303631], [0.242575, -0.486013, -0.320848, 0.408343, 0.189992, 0.107156]], "network.2.bias": [-0.416363, 0.369432, 0.099789, -0.301105, -0.264659, -0.520316], "network.4.weight": [[-0.015946, 0.774582, 0.81193, 0.283862, 0.241533, 0.411638], [0.408472, 0.404296, 0.333557, 0.397516, 0.713644, 0.23523], [0.805015, -0.058647, -0.64186, -0.007759, 0.246663, 0.440885], [0.593533, 0.322047, 0.411038, 0.797042, 0.607421, 0.416872], [-0.301694, -0.730047, -0.192933, -0.591427, -0.224563, -0.454239], [-0.034205, 0.737941, 0.175202, 0.339844, 0.421603, -0.136426]], "network.4.bias": [0.122308, -0.189853, -0.642165, 0.122754, 0.722622, -0.199497], "network.6.weight": [[0.402476, 0.51346, 0.208681, 0.527752, -0.528874, 0.03493], [0.686598, 0.523583, 0.248262, 0.492425, -0.438184, 0.630809], [0.700317, 0.68975, 0.049193, 0.234753, 0.025316, 0.435026], [-0.237754, -0.370654, -0.118364, 0.037794, 0.72548, -0.008656], [0.513127, 0.098457, 0.499507, 0.628405, -0.346612, 0.002546], [0.52461, 0.556139, 0.116451, 0.287826, -0.475284, 0.42424]], "network.6.bias": [-0.307902, 0.016775, -0.316338, 0.39406, -0.145976, -0.070165], "network.8.weight": [[-0.43806, -0.392074, -0.378941, 0.498504, -0.46226, -0.736443]], "network.8.bias": [0.152827]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6815089881420135, "train_acc": 0.575, "val_loss": 0.6949809193611145, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6363050937652588, "train_acc": 0.575, "val_loss": 0.6663868427276611, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.5707738995552063, "train_acc": 0.575, "val_loss": 0.598107099533081, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5461472868919373, "train_acc": 0.565, "val_loss": 0.5738824009895325, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4857878237962723, "train_acc": 0.765, "val_loss": 0.5259945392608643, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4399418830871582, "train_acc": 0.775, "val_loss": 0.5197434425354004, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.45769786834716797, "train_acc": 0.78, "val_loss": 0.5400243401527405, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4560745358467102, "train_acc": 0.8, "val_loss": 0.5336902141571045, "val_acc": 0.72}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44850368797779083, "train_acc": 0.785, "val_loss": 0.5244609713554382, "val_acc": 0.72}], "summary": {"total_epochs": 9, "degraded_epochs": 3, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6949809193611145, "final_val_loss": 0.598107099533081, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5738824009895325, "final_val_loss": 0.5244609713554382, "initial_val_acc": 0.66, "final_val_acc": 0.72, "best_val_acc": 0.74, "best_epoch": 5}, "improvement": 0.24, "first_improvement_epoch": 2}}
|
366
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8777, "learning_rate": 0.05287656323494445, "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: [[15.345964, 15.857541, 16.263034, 17.201160, 17.428646, 18.159347, 21.181551, 21.653183, 25.283003, 25.941982], [11.317289, 11.669681, 11.772650, 12.056601, 12.421820, 13.989934, 14.476187, 16.138521, 18.197175, 25.061524], [18.451617, 18.579342, 20.160729, 21.150789, 22.752509, 26.604894, 31.372449, 35.739781, 36.793219, 144.089502], [15.636625, 15.715282, 17.403815, 17.557045, 17.646398, 18.378900, 18.918581, 19.848946, 22.188592, 144.541509], [24.153381, 24.337394, 24.406338, 24.532093, 25.035581, 27.074439, 27.344354, 28.416119, 30.927532, 33.444876]]
### 2
fourier: [[17.905629, 18.383876, 19.254027, 19.368344, 20.099608, 24.936369, 25.366221, 27.540692, 29.868906, 38.958738], [8.017250, 8.368624, 8.660897, 8.954672, 9.557950, 10.300946, 10.526669, 11.596853, 12.880800, 44.039550], [7.068566, 7.545019, 7.575284, 7.581795, 7.805016, 8.117746, 8.447783, 9.111305, 12.298635, 98.676355], [13.264340, 13.653695, 14.534957, 14.866672, 15.040056, 15.355134, 17.443070, 21.187095, 23.858974, 24.170559], [23.176665, 26.061468, 27.174475, 28.749395, 29.988612, 30.765644, 33.911970, 41.661881, 43.103468, 201.808315]]
### 4
fourier: [[6.635241, 6.922050, 8.010649, 8.351922, 8.654694, 8.857895, 9.135411, 11.773189, 12.453949, 126.783204], [7.477396, 7.653211, 9.001898, 9.200317, 9.336058, 9.564048, 9.739215, 13.161122, 13.538415, 71.410941], [10.394400, 10.839978, 11.367062, 12.340378, 12.835088, 14.902114, 15.439133, 17.520493, 17.697445, 62.989871], [8.487423, 8.549133, 9.067990, 9.145995, 9.681811, 12.106105, 12.992928, 13.419962, 13.430906, 55.717369], [19.202881, 19.316812, 20.149644, 25.314248, 25.333526, 26.751170, 29.094553, 35.067820, 35.264751, 156.827322]]
### 6
fourier: [[19.029037, 19.888509, 19.987714, 22.454787, 24.119774, 25.368996, 28.324339, 33.568266, 34.439040, 125.292131], [21.560331, 22.756452, 24.511447, 25.307980, 29.016409, 29.520005, 33.000754, 38.346248, 39.232244, 164.090650], [16.307153, 16.469493, 18.704711, 20.341031, 20.441063, 22.593050, 24.699071, 29.920424, 30.767799, 145.702879], [6.662006, 6.730679, 7.317912, 7.810528, 8.230471, 8.990730, 9.837345, 11.950653, 12.471416, 76.019696], [2.443633, 2.459531, 2.567460, 2.634339, 2.733079, 2.831085, 2.852354, 3.236422, 3.431613, 69.548983]]
### 8
fourier: [[9.717604, 10.394561, 10.422395, 10.518903, 11.938034, 12.954731, 14.186998, 17.018084, 17.536450, 87.559388], [14.077206, 14.955871, 15.099315, 15.116301, 17.252617, 18.701780, 20.488364, 24.467580, 25.257189, 109.131847], [25.865709, 27.377112, 27.703475, 27.772057, 31.797550, 34.290280, 37.639725, 44.875704, 46.277300, 193.481072], [3.277356, 3.540957, 3.598965, 3.681504, 3.908516, 4.533055, 4.611773, 5.175996, 5.973833, 6.132246], [0.583282, 0.633805, 0.676266, 0.702934, 0.759681, 0.761102, 0.767694, 1.112596, 1.154984, 36.462404]]
### 10
fourier: [[1.656991, 1.757809, 1.768784, 1.778527, 2.033945, 2.196582, 2.405343, 2.876017, 2.967837, 22.170905], [15.910993, 16.810936, 16.961100, 17.161357, 19.511355, 21.012118, 22.998241, 27.442727, 28.438819, 143.078225], [5.043895, 5.326188, 5.375762, 5.443933, 6.184388, 6.657462, 7.286264, 8.691895, 9.012705, 59.670214], [21.071614, 22.157112, 22.426048, 22.857718, 25.809749, 27.702072, 30.303509, 36.072253, 37.570952, 157.614990], [5.261668, 5.524846, 5.651618, 5.682472, 6.487380, 7.093550, 7.783674, 9.388934, 9.513840, 45.526633]]
### 12
fourier: [[15.182312, 16.041840, 16.131147, 16.499408, 18.590760, 20.050266, 21.827524, 26.107765, 27.114843, 72.847733]]
## 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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-0.242926,
0.216772,
-0.510687,
-0.155707
]
],
"network.12.bias": [
0.372332
]
}
## Activation Signature
### 0
fourier: [[15.345964, 15.857541, 16.263034, 17.201160, 17.428646, 18.159347, 21.181551, 21.653183, 25.283003, 25.941982], [11.317289, 11.669681, 11.772650, 12.056601, 12.421820, 13.989934, 14.476187, 16.138521, 18.197175, 25.061524], [18.451617, 18.579342, 20.160729, 21.150789, 22.752509, 26.604894, 31.372449, 35.739781, 36.793219, 144.089502], [15.636625, 15.715282, 17.403815, 17.557045, 17.646398, 18.378900, 18.918581, 19.848946, 22.188592, 144.541509], [24.153381, 24.337394, 24.406338, 24.532093, 25.035581, 27.074439, 27.344354, 28.416119, 30.927532, 33.444876]]
### 2
fourier: [[17.905629, 18.383876, 19.254027, 19.368344, 20.099608, 24.936369, 25.366221, 27.540692, 29.868906, 38.958738], [8.017250, 8.368624, 8.660897, 8.954672, 9.557950, 10.300946, 10.526669, 11.596853, 12.880800, 44.039550], [7.068566, 7.545019, 7.575284, 7.581795, 7.805016, 8.117746, 8.447783, 9.111305, 12.298635, 98.676355], [13.264340, 13.653695, 14.534957, 14.866672, 15.040056, 15.355134, 17.443070, 21.187095, 23.858974, 24.170559], [23.176665, 26.061468, 27.174475, 28.749395, 29.988612, 30.765644, 33.911970, 41.661881, 43.103468, 201.808315]]
### 4
fourier: [[6.635241, 6.922050, 8.010649, 8.351922, 8.654694, 8.857895, 9.135411, 11.773189, 12.453949, 126.783204], [7.477396, 7.653211, 9.001898, 9.200317, 9.336058, 9.564048, 9.739215, 13.161122, 13.538415, 71.410941], [10.394400, 10.839978, 11.367062, 12.340378, 12.835088, 14.902114, 15.439133, 17.520493, 17.697445, 62.989871], [8.487423, 8.549133, 9.067990, 9.145995, 9.681811, 12.106105, 12.992928, 13.419962, 13.430906, 55.717369], [19.202881, 19.316812, 20.149644, 25.314248, 25.333526, 26.751170, 29.094553, 35.067820, 35.264751, 156.827322]]
### 6
fourier: [[19.029037, 19.888509, 19.987714, 22.454787, 24.119774, 25.368996, 28.324339, 33.568266, 34.439040, 125.292131], [21.560331, 22.756452, 24.511447, 25.307980, 29.016409, 29.520005, 33.000754, 38.346248, 39.232244, 164.090650], [16.307153, 16.469493, 18.704711, 20.341031, 20.441063, 22.593050, 24.699071, 29.920424, 30.767799, 145.702879], [6.662006, 6.730679, 7.317912, 7.810528, 8.230471, 8.990730, 9.837345, 11.950653, 12.471416, 76.019696], [2.443633, 2.459531, 2.567460, 2.634339, 2.733079, 2.831085, 2.852354, 3.236422, 3.431613, 69.548983]]
### 8
fourier: [[9.717604, 10.394561, 10.422395, 10.518903, 11.938034, 12.954731, 14.186998, 17.018084, 17.536450, 87.559388], [14.077206, 14.955871, 15.099315, 15.116301, 17.252617, 18.701780, 20.488364, 24.467580, 25.257189, 109.131847], [25.865709, 27.377112, 27.703475, 27.772057, 31.797550, 34.290280, 37.639725, 44.875704, 46.277300, 193.481072], [3.277356, 3.540957, 3.598965, 3.681504, 3.908516, 4.533055, 4.611773, 5.175996, 5.973833, 6.132246], [0.583282, 0.633805, 0.676266, 0.702934, 0.759681, 0.761102, 0.767694, 1.112596, 1.154984, 36.462404]]
### 10
fourier: [[1.656991, 1.757809, 1.768784, 1.778527, 2.033945, 2.196582, 2.405343, 2.876017, 2.967837, 22.170905], [15.910993, 16.810936, 16.961100, 17.161357, 19.511355, 21.012118, 22.998241, 27.442727, 28.438819, 143.078225], [5.043895, 5.326188, 5.375762, 5.443933, 6.184388, 6.657462, 7.286264, 8.691895, 9.012705, 59.670214], [21.071614, 22.157112, 22.426048, 22.857718, 25.809749, 27.702072, 30.303509, 36.072253, 37.570952, 157.614990], [5.261668, 5.524846, 5.651618, 5.682472, 6.487380, 7.093550, 7.783674, 9.388934, 9.513840, 45.526633]]
### 12
fourier: [[15.182312, 16.041840, 16.131147, 16.499408, 18.590760, 20.050266, 21.827524, 26.107765, 27.114843, 72.847733]]
## 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": [[-0.275886, 0.100545, 0.394645, -0.01238, -0.576578], [0.225037, 0.242632, -0.340318, 0.131165, -0.229621], [0.330118, 0.076775, 0.025009, 0.118567, 0.716043], [-0.126689, 0.068395, 0.421475, 0.407175, -0.386606], [-0.497395, -0.311401, -0.100987, 0.333571, 0.706118]], "network.0.bias": [0.097144, -0.01505, -0.139341, 0.362277, 0.079542], "network.2.weight": [[0.493151, -0.048496, -0.308842, 0.452532, -0.467263], [0.037086, 0.109074, -0.416637, -0.274678, 0.315486], [-0.429004, -0.340168, -0.16683, 0.048584, -0.355278], [0.643589, 0.122866, -0.408615, 0.281983, 0.033406], [-0.570432, 0.40714, 0.685703, 0.058994, 0.759548]], "network.2.bias": [0.337588, 0.317789, -0.273605, -0.030314, 0.562597], "network.4.weight": [[0.119215, -0.421228, 0.249935, 0.024742, 0.323317], [0.211398, 0.430934, 0.349152, -0.370966, -0.329684], [-0.528442, -0.493744, -0.151395, 0.051736, 0.266481], [0.33349, -0.210571, 0.02592, 0.188636, -0.170628], [-0.216156, -0.464197, -0.231323, -0.308879, 0.706301]], "network.4.bias": [0.579882, -0.031482, 0.5207, 0.636294, 0.506103], "network.6.weight": [[0.263085, -0.391817, 0.480006, -0.255984, 0.623708], [-0.061318, -0.005151, 0.834938, -0.455272, 0.660173], [-0.640062, 0.02042, -0.22057, 0.222748, -0.508935], [-0.096081, 0.315904, 0.196471, -0.113765, -0.450574], [-0.229453, -0.146296, -0.182912, -0.400833, -0.018415]], "network.6.bias": [-0.30695, 0.371836, 0.222546, 0.026425, 0.001223], "network.8.weight": [[-0.313308, -0.188118, 0.185968, 0.027406, 0.331083], [-0.378929, -0.334556, -0.162815, -0.058511, -0.091599], [0.638628, 0.661957, -0.144504, -0.14041, 0.357958], [0.057215, -0.212349, 0.313056, 0.612558, 0.264799], [-0.155561, 0.106886, 0.096464, -0.167858, -0.358523]], "network.8.bias": [-0.16092, -0.027343, -0.031846, 0.353028, -0.380215], "network.10.weight": [[-0.229998, 0.161542, -0.064224, 0.000253, 0.167405], [-0.229729, 0.041124, 0.608432, -0.117373, 0.15504], [-0.41067, 0.313926, -0.192514, 0.042261, -0.176553], [0.148354, -0.084697, 0.792858, -0.334952, 0.140436], [0.389643, 0.428629, -0.21613, -0.168667, -0.366856]], "network.10.bias": [0.384733, 0.295489, -0.254231, 0.091244, -0.015407], "network.12.weight": [[0.403424, -0.242926, 0.216772, -0.510687, -0.155707]], "network.12.bias": [0.372332]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7142000198364258, "train_acc": 0.43, "val_loss": 0.6844130158424377, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843036413192749, "train_acc": 0.57, "val_loss": 0.6548199653625488, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6353670656681061, "train_acc": 0.57, "val_loss": 0.5723184943199158, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6093252599239349, "train_acc": 0.485, "val_loss": 0.46794143319129944, "val_acc": 0.86}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.4842981696128845, "train_acc": 0.845, "val_loss": 0.3494487702846527, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.39803487062454224, "train_acc": 0.88, "val_loss": 0.3126027584075928, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3646560609340668, "train_acc": 0.87, "val_loss": 0.25249913334846497, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.35088568925857544, "train_acc": 0.87, "val_loss": 0.2600781321525574, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.32388387620449066, "train_acc": 0.865, "val_loss": 0.36237838864326477, "val_acc": 0.86}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.29779261350631714, "train_acc": 0.875, "val_loss": 0.31929752230644226, "val_acc": 0.86}], "summary": {"total_epochs": 10, "degraded_epochs": 3, "improved_epochs": 7, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6844130158424377, "final_val_loss": 0.5723184943199158, "initial_val_acc": 0.56, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.46794143319129944, "final_val_loss": 0.31929752230644226, "initial_val_acc": 0.86, "final_val_acc": 0.86, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 2}}
|
367
|
{"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7125, "learning_rate": 0.03395300685904403, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[28.725198, 30.244625, 31.549780, 33.426235, 33.557494, 34.526119, 36.641016, 39.471431, 40.873964, 198.741816], [18.326179, 18.612961, 19.158385, 19.611590, 20.856019, 20.876345, 22.744429, 24.306452, 24.721003, 34.884624], [18.206538, 18.302066, 21.637585, 24.039647, 24.651891, 26.496677, 26.625056, 31.608552, 32.571778, 239.759929], [19.932372, 23.224349, 23.704623, 24.550784, 24.620280, 25.467996, 26.149630, 27.885118, 31.431783, 135.501117], [19.014144, 19.621062, 19.830136, 20.943430, 21.498847, 21.764036, 22.864603, 24.510014, 29.073193, 134.546283], [16.306847, 16.567955, 16.637859, 17.674942, 17.998384, 20.913188, 21.380186, 21.480547, 25.421242, 157.260348], [12.519086, 13.121661, 14.482310, 14.718736, 17.075165, 17.532411, 18.032996, 18.952921, 20.027149, 41.412929]]
### 2
fourier: [[6.718224, 7.071644, 7.078192, 7.163879, 7.809971, 8.315741, 8.949841, 8.994970, 9.894954, 70.825956], [15.556621, 16.182280, 16.391545, 17.452643, 18.561822, 21.922085, 23.074929, 25.736712, 26.294397, 72.600602], [13.898729, 15.521831, 15.912636, 16.778101, 17.248988, 17.499295, 20.716212, 21.970621, 22.124582, 124.264379], [7.990439, 8.335109, 8.963010, 9.536581, 9.826477, 11.947610, 12.584611, 13.292665, 14.627663, 15.514239], [13.291127, 14.153395, 14.934590, 15.733328, 15.877639, 16.848450, 16.855752, 19.822425, 20.615688, 54.655021], [29.189787, 30.315367, 32.327917, 32.660963, 36.146142, 36.302822, 36.377682, 38.588321, 43.187289, 77.891735], [12.282850, 12.734920, 12.766388, 12.816416, 13.662155, 14.119830, 14.360205, 14.511729, 23.770056, 33.666518]]
### 4
fourier: [[7.786955, 7.812647, 8.179196, 8.521228, 9.067292, 9.350981, 9.646366, 9.791073, 10.105366, 53.130434], [10.388122, 10.574162, 10.628920, 10.928617, 13.035684, 13.762437, 15.179736, 15.465866, 16.275878, 125.549051], [5.502476, 5.671560, 5.775940, 5.917547, 6.387704, 6.408890, 7.275733, 7.668112, 8.177742, 104.860598], [16.085519, 18.822512, 20.211547, 20.545315, 21.211442, 21.273014, 21.403610, 21.903807, 22.538530, 127.005035], [3.525235, 3.538344, 3.708669, 4.155050, 4.262903, 4.426126, 4.780360, 5.243114, 6.759450, 6.998563], [26.976994, 27.924750, 32.542747, 38.067915, 38.472315, 40.973195, 44.706216, 49.622147, 50.391827, 108.773810], [3.387069, 3.533695, 3.586789, 3.800254, 4.808084, 5.234413, 5.595452, 5.688275, 5.975034, 74.820766]]
### 6
fourier: [[12.994938, 14.867189, 15.947832, 16.375980, 16.525854, 16.603476, 17.877344, 18.331650, 19.279085, 45.802258], [6.954264, 8.576986, 8.885726, 9.513058, 9.860750, 10.094896, 10.519407, 10.603028, 11.032019, 24.447796], [4.540670, 4.542397, 5.435589, 5.456585, 5.540784, 5.721169, 5.981791, 6.419143, 6.680971, 63.561954], [2.450243, 2.804541, 2.901971, 3.046845, 3.055275, 3.148758, 3.265551, 3.481956, 3.647605, 35.247606], [6.269044, 7.399078, 7.677335, 8.161982, 8.483588, 8.613061, 8.888617, 9.281910, 9.661541, 11.290436], [1.549229, 1.631088, 1.671374, 1.782361, 1.815941, 1.988854, 2.027773, 2.092796, 2.217901, 66.704785], [1.026249, 1.162227, 1.168738, 1.224422, 1.296227, 1.303312, 1.382460, 1.385381, 1.798959, 19.848795]]
### 8
fourier: [[14.041369, 16.140563, 18.163569, 18.249194, 18.940770, 19.064913, 19.419760, 20.836105, 21.090670, 100.625374]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[28.725198, 30.244625, 31.549780, 33.426235, 33.557494, 34.526119, 36.641016, 39.471431, 40.873964, 198.741816], [18.326179, 18.612961, 19.158385, 19.611590, 20.856019, 20.876345, 22.744429, 24.306452, 24.721003, 34.884624], [18.206538, 18.302066, 21.637585, 24.039647, 24.651891, 26.496677, 26.625056, 31.608552, 32.571778, 239.759929], [19.932372, 23.224349, 23.704623, 24.550784, 24.620280, 25.467996, 26.149630, 27.885118, 31.431783, 135.501117], [19.014144, 19.621062, 19.830136, 20.943430, 21.498847, 21.764036, 22.864603, 24.510014, 29.073193, 134.546283], [16.306847, 16.567955, 16.637859, 17.674942, 17.998384, 20.913188, 21.380186, 21.480547, 25.421242, 157.260348], [12.519086, 13.121661, 14.482310, 14.718736, 17.075165, 17.532411, 18.032996, 18.952921, 20.027149, 41.412929]]
### 2
fourier: [[6.718224, 7.071644, 7.078192, 7.163879, 7.809971, 8.315741, 8.949841, 8.994970, 9.894954, 70.825956], [15.556621, 16.182280, 16.391545, 17.452643, 18.561822, 21.922085, 23.074929, 25.736712, 26.294397, 72.600602], [13.898729, 15.521831, 15.912636, 16.778101, 17.248988, 17.499295, 20.716212, 21.970621, 22.124582, 124.264379], [7.990439, 8.335109, 8.963010, 9.536581, 9.826477, 11.947610, 12.584611, 13.292665, 14.627663, 15.514239], [13.291127, 14.153395, 14.934590, 15.733328, 15.877639, 16.848450, 16.855752, 19.822425, 20.615688, 54.655021], [29.189787, 30.315367, 32.327917, 32.660963, 36.146142, 36.302822, 36.377682, 38.588321, 43.187289, 77.891735], [12.282850, 12.734920, 12.766388, 12.816416, 13.662155, 14.119830, 14.360205, 14.511729, 23.770056, 33.666518]]
### 4
fourier: [[7.786955, 7.812647, 8.179196, 8.521228, 9.067292, 9.350981, 9.646366, 9.791073, 10.105366, 53.130434], [10.388122, 10.574162, 10.628920, 10.928617, 13.035684, 13.762437, 15.179736, 15.465866, 16.275878, 125.549051], [5.502476, 5.671560, 5.775940, 5.917547, 6.387704, 6.408890, 7.275733, 7.668112, 8.177742, 104.860598], [16.085519, 18.822512, 20.211547, 20.545315, 21.211442, 21.273014, 21.403610, 21.903807, 22.538530, 127.005035], [3.525235, 3.538344, 3.708669, 4.155050, 4.262903, 4.426126, 4.780360, 5.243114, 6.759450, 6.998563], [26.976994, 27.924750, 32.542747, 38.067915, 38.472315, 40.973195, 44.706216, 49.622147, 50.391827, 108.773810], [3.387069, 3.533695, 3.586789, 3.800254, 4.808084, 5.234413, 5.595452, 5.688275, 5.975034, 74.820766]]
### 6
fourier: [[12.994938, 14.867189, 15.947832, 16.375980, 16.525854, 16.603476, 17.877344, 18.331650, 19.279085, 45.802258], [6.954264, 8.576986, 8.885726, 9.513058, 9.860750, 10.094896, 10.519407, 10.603028, 11.032019, 24.447796], [4.540670, 4.542397, 5.435589, 5.456585, 5.540784, 5.721169, 5.981791, 6.419143, 6.680971, 63.561954], [2.450243, 2.804541, 2.901971, 3.046845, 3.055275, 3.148758, 3.265551, 3.481956, 3.647605, 35.247606], [6.269044, 7.399078, 7.677335, 8.161982, 8.483588, 8.613061, 8.888617, 9.281910, 9.661541, 11.290436], [1.549229, 1.631088, 1.671374, 1.782361, 1.815941, 1.988854, 2.027773, 2.092796, 2.217901, 66.704785], [1.026249, 1.162227, 1.168738, 1.224422, 1.296227, 1.303312, 1.382460, 1.385381, 1.798959, 19.848795]]
### 8
fourier: [[14.041369, 16.140563, 18.163569, 18.249194, 18.940770, 19.064913, 19.419760, 20.836105, 21.090670, 100.625374]]
## 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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"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": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.359015, 0.869629, 0.33482, -0.149741, -0.299101], [-0.174085, -0.493005, 0.010228, 0.597758, 0.104785], [-0.05558, -0.585663, -0.234417, -0.299848, -0.043498], [0.753356, 0.002366, -0.04787, 0.162136, 0.020298], [-0.688285, 0.491148, 0.370325, -0.080567, 0.022864], [-0.405655, -0.311695, -0.012555, -0.083187, -0.18302], [-0.415329, 0.274459, -0.187111, -0.154137, 0.408519]], "network.0.bias": [0.167414, 0.070153, -0.341298, 0.291015, 0.827514, -0.244204, 0.694424], "network.2.weight": [[-0.207099, -0.037589, -0.27373, -0.106995, 0.018733, -0.037505, -0.103152], [0.059118, -0.117794, -0.056618, -0.307862, 0.63782, 0.297448, 0.457492], [0.054992, -0.0258, -0.009195, -0.099362, 0.644635, 0.260258, 0.576007], [-0.231235, -0.190307, 0.069171, 0.544184, 0.089286, 0.339199, -0.263856], [0.188565, -0.092092, -0.02366, -0.381675, 0.474218, -0.019568, 0.087195], [0.710889, -0.179429, -0.329225, 0.40406, -0.683865, 0.000361, -0.145593], [-0.083441, 0.70348, -0.049263, -0.145973, 0.024056, -0.285892, 0.274776]], "network.2.bias": [-0.086967, -0.120447, -0.010764, -0.279623, -0.004936, -0.022518, 0.037746], "network.4.weight": [[-0.342034, -0.31023, 0.179422, -0.482408, 0.005252, 0.330534, -0.031108], [0.364345, -0.488008, -0.243562, 0.315574, -0.194827, -0.206809, -0.268021], [-0.159979, -0.286988, -0.291081, -0.161957, 0.191518, -0.131979, -0.409664], [0.097547, -0.206693, 0.047388, -0.230528, 0.042522, -0.629708, -0.041889], [0.191022, -0.246632, 0.135179, 0.572458, -0.002077, -0.025735, -0.162361], [-0.518295, -0.301814, -0.703258, -0.600345, -0.654073, 0.689155, -0.756522], [0.015275, -0.038525, -0.212825, -0.355184, 0.022845, -0.122525, -0.322635]], "network.4.bias": [0.379541, -0.066399, -0.184233, -0.479992, 0.043292, 0.352081, -0.103117], "network.6.weight": [[0.536655, 0.085418, -0.102864, 0.056455, -0.455405, 0.683467, -0.056179], [0.071831, 0.124772, -0.181797, -0.481289, -0.051152, 0.469713, -0.182045], [0.204595, -0.184818, -0.203771, 0.25085, 0.475001, -0.45304, -0.214589], [-0.021689, -0.177975, 0.193875, 0.156285, 0.167954, -0.175897, -0.151189], [-0.041404, 0.203518, 0.154003, -0.014794, -0.27074, 0.487562, 0.183615], [0.52672, 0.014803, -0.332899, 0.021826, 0.250008, -0.210414, -0.295287], [-0.299808, 0.118822, -0.020043, -0.265176, 0.14002, 0.067639, -0.237945]], "network.6.bias": [-0.169785, -0.049062, 0.805779, 0.491844, -0.114386, 0.529225, -0.100286], "network.8.weight": [[0.591121, 0.261753, -0.711252, -0.513048, 0.354159, -0.807804, -0.232759]], "network.8.bias": [-0.261616]}}
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|
368
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.8, "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": 8493, "learning_rate": 0.04717066284051044, "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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0.106636
],
[
-0.41225,
-0.492996,
0.322492,
-0.064129,
-0.323364,
-0.032907,
-0.190533
]
],
"network.6.bias": [
0.141776,
0.068584,
0.05036,
0.29449,
0.202265,
0.143893,
-0.122819
],
"network.8.weight": [
[
0.216788,
0.389991,
0.000696,
-0.480229,
0.304638,
0.318801,
0.009433
]
],
"network.8.bias": [
0.097025
]
}
## Activation Signature
### 0
fourier: [[14.376881, 14.881056, 15.244721, 15.398284, 18.230924, 18.813697, 20.670939, 21.544598, 21.829351, 82.929296], [21.965458, 22.514883, 23.329076, 23.611838, 24.021136, 24.907236, 27.548174, 28.538129, 34.637230, 105.023616], [20.958845, 21.000972, 21.583019, 23.260094, 27.811747, 30.118269, 30.745736, 33.399079, 34.823582, 162.530920], [14.165176, 15.257089, 15.710401, 16.757739, 18.494288, 18.509996, 22.228204, 27.040594, 29.478579, 29.546198], [15.207519, 15.237587, 15.962377, 17.479568, 18.308017, 18.407500, 19.022822, 19.888339, 23.528613, 31.614497], [16.970699, 18.680747, 19.461884, 20.074179, 21.519344, 21.648363, 23.121978, 26.836433, 27.054664, 149.213261], [19.419647, 21.763897, 22.488935, 23.349172, 23.950114, 26.084947, 26.926087, 27.223016, 27.279157, 28.446018]]
### 2
fourier: [[7.018656, 7.339051, 7.364926, 7.998581, 8.211352, 8.957939, 9.210757, 9.948184, 10.902010, 11.671277], [6.287452, 6.293234, 6.522576, 6.532022, 6.779364, 7.972625, 9.820157, 10.826961, 10.856311, 10.944007], [7.856671, 8.145243, 8.272405, 8.850208, 10.082341, 10.807500, 11.528396, 11.895236, 15.344322, 15.478880], [7.877078, 8.056793, 8.152948, 8.206482, 11.384815, 11.441942, 11.944875, 13.548535, 14.619516, 51.907122], [7.635430, 8.077580, 8.240321, 8.324850, 8.677783, 9.076356, 10.108943, 10.527033, 10.968912, 15.645268], [10.916137, 11.131914, 11.274192, 11.691053, 11.720311, 13.428147, 13.854696, 13.939504, 20.052841, 29.038280], [21.436149, 22.550190, 23.502161, 25.000348, 25.976605, 26.809896, 26.926708, 30.042481, 30.851549, 169.565951]]
### 4
fourier: [[6.023117, 6.134338, 6.264006, 6.879670, 8.145168, 9.266340, 9.500753, 10.329465, 11.667070, 21.907126], [2.402394, 2.590796, 2.978587, 2.988192, 3.102845, 3.202969, 3.496169, 3.977301, 4.523144, 9.764871], [7.746452, 7.780409, 8.261412, 8.718796, 9.524672, 10.644008, 11.542325, 12.190332, 12.963141, 47.561373], [9.775714, 9.927328, 10.052982, 10.918820, 12.683277, 14.551706, 15.195337, 16.257544, 17.901839, 37.359846], [17.058264, 17.640916, 17.694915, 18.204773, 19.178401, 21.659865, 22.287575, 22.477670, 24.494716, 99.403814], [10.916694, 11.279528, 11.430662, 11.760231, 12.200559, 13.368381, 13.783930, 14.758118, 15.314659, 34.316626], [6.492508, 6.814251, 8.135042, 8.869258, 8.977324, 9.080917, 9.450161, 9.809795, 10.950327, 15.112300]]
### 6
fourier: [[4.365151, 4.534267, 4.644449, 4.703460, 4.764097, 4.917466, 5.061782, 7.120963, 7.421539, 17.086264], [5.230660, 5.486722, 5.547986, 6.000704, 6.313050, 6.864738, 7.497080, 8.879861, 8.880503, 23.925233], [0.723317, 0.726000, 0.731003, 0.744210, 0.756582, 0.890623, 0.971927, 1.312631, 1.385240, 8.805228], [10.854005, 10.919775, 11.393334, 11.488230, 11.665187, 13.268188, 13.419937, 15.485493, 16.718553, 81.300705], [6.867125, 6.895238, 7.016095, 7.804043, 8.304919, 8.779405, 9.063745, 10.960371, 11.078685, 16.298103], [6.434203, 6.436994, 6.925769, 7.048955, 7.060984, 7.691572, 8.765846, 9.791018, 9.863473, 23.795729], [3.729471, 3.729694, 3.843379, 3.958165, 4.209507, 4.389839, 4.965405, 5.819943, 6.051455, 32.920587]]
### 8
fourier: [[6.829523, 6.935534, 7.069433, 7.453835, 7.835332, 7.933500, 8.356076, 8.938829, 9.951186, 29.351653]]
## 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:
{
"network.0.weight": [
[
0.344424,
0.185871,
0.236151,
0.10362,
-0.335068
],
[
0.664038,
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-0.032712
],
[
0.070203,
0.659134,
0.072387,
0.312807,
-0.36873
],
[
0.52663,
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0.140685,
0.226052,
0.115396
],
[
-0.095894,
0.082373,
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0.22321,
0.279869
],
[
-0.439455,
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],
[
0.033075,
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0.26341
]
],
"network.0.bias": [
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0.150208,
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0.1989,
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],
"network.2.weight": [
[
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],
[
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],
[
0.156807,
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],
[
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],
[
-0.059443,
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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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0.137363,
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],
[
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[
0.073913,
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[
0.612454,
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0.0368,
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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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[
0.306092,
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0.247969
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]
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"network.6.bias": [
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],
"network.8.weight": [
[
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0.318801,
0.009433
]
],
"network.8.bias": [
0.097025
]
}
## Activation Signature
### 0
fourier: [[14.376881, 14.881056, 15.244721, 15.398284, 18.230924, 18.813697, 20.670939, 21.544598, 21.829351, 82.929296], [21.965458, 22.514883, 23.329076, 23.611838, 24.021136, 24.907236, 27.548174, 28.538129, 34.637230, 105.023616], [20.958845, 21.000972, 21.583019, 23.260094, 27.811747, 30.118269, 30.745736, 33.399079, 34.823582, 162.530920], [14.165176, 15.257089, 15.710401, 16.757739, 18.494288, 18.509996, 22.228204, 27.040594, 29.478579, 29.546198], [15.207519, 15.237587, 15.962377, 17.479568, 18.308017, 18.407500, 19.022822, 19.888339, 23.528613, 31.614497], [16.970699, 18.680747, 19.461884, 20.074179, 21.519344, 21.648363, 23.121978, 26.836433, 27.054664, 149.213261], [19.419647, 21.763897, 22.488935, 23.349172, 23.950114, 26.084947, 26.926087, 27.223016, 27.279157, 28.446018]]
### 2
fourier: [[7.018656, 7.339051, 7.364926, 7.998581, 8.211352, 8.957939, 9.210757, 9.948184, 10.902010, 11.671277], [6.287452, 6.293234, 6.522576, 6.532022, 6.779364, 7.972625, 9.820157, 10.826961, 10.856311, 10.944007], [7.856671, 8.145243, 8.272405, 8.850208, 10.082341, 10.807500, 11.528396, 11.895236, 15.344322, 15.478880], [7.877078, 8.056793, 8.152948, 8.206482, 11.384815, 11.441942, 11.944875, 13.548535, 14.619516, 51.907122], [7.635430, 8.077580, 8.240321, 8.324850, 8.677783, 9.076356, 10.108943, 10.527033, 10.968912, 15.645268], [10.916137, 11.131914, 11.274192, 11.691053, 11.720311, 13.428147, 13.854696, 13.939504, 20.052841, 29.038280], [21.436149, 22.550190, 23.502161, 25.000348, 25.976605, 26.809896, 26.926708, 30.042481, 30.851549, 169.565951]]
### 4
fourier: [[6.023117, 6.134338, 6.264006, 6.879670, 8.145168, 9.266340, 9.500753, 10.329465, 11.667070, 21.907126], [2.402394, 2.590796, 2.978587, 2.988192, 3.102845, 3.202969, 3.496169, 3.977301, 4.523144, 9.764871], [7.746452, 7.780409, 8.261412, 8.718796, 9.524672, 10.644008, 11.542325, 12.190332, 12.963141, 47.561373], [9.775714, 9.927328, 10.052982, 10.918820, 12.683277, 14.551706, 15.195337, 16.257544, 17.901839, 37.359846], [17.058264, 17.640916, 17.694915, 18.204773, 19.178401, 21.659865, 22.287575, 22.477670, 24.494716, 99.403814], [10.916694, 11.279528, 11.430662, 11.760231, 12.200559, 13.368381, 13.783930, 14.758118, 15.314659, 34.316626], [6.492508, 6.814251, 8.135042, 8.869258, 8.977324, 9.080917, 9.450161, 9.809795, 10.950327, 15.112300]]
### 6
fourier: [[4.365151, 4.534267, 4.644449, 4.703460, 4.764097, 4.917466, 5.061782, 7.120963, 7.421539, 17.086264], [5.230660, 5.486722, 5.547986, 6.000704, 6.313050, 6.864738, 7.497080, 8.879861, 8.880503, 23.925233], [0.723317, 0.726000, 0.731003, 0.744210, 0.756582, 0.890623, 0.971927, 1.312631, 1.385240, 8.805228], [10.854005, 10.919775, 11.393334, 11.488230, 11.665187, 13.268188, 13.419937, 15.485493, 16.718553, 81.300705], [6.867125, 6.895238, 7.016095, 7.804043, 8.304919, 8.779405, 9.063745, 10.960371, 11.078685, 16.298103], [6.434203, 6.436994, 6.925769, 7.048955, 7.060984, 7.691572, 8.765846, 9.791018, 9.863473, 23.795729], [3.729471, 3.729694, 3.843379, 3.958165, 4.209507, 4.389839, 4.965405, 5.819943, 6.051455, 32.920587]]
### 8
fourier: [[6.829523, 6.935534, 7.069433, 7.453835, 7.835332, 7.933500, 8.356076, 8.938829, 9.951186, 29.351653]]
## 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": [14.376880805325433, 14.881055736894197, 15.244721392442571, 15.398284331228497, 18.230924342693328, 18.813697008637792, 20.670938589825887, 21.544597697553034, 21.82935102570206, 82.9292964041233]}, "1": {"fourier": [21.965458498234533, 22.514883031645713, 23.32907588958622, 23.611838340854398, 24.02113574613307, 24.90723638588605, 27.548173572991942, 28.538128824448595, 34.637229554595976, 105.02361583709717]}, "2": {"fourier": [20.958845287798887, 21.000971600716912, 21.583018642695844, 23.26009404340455, 27.811746934048365, 30.11826904060391, 30.745735994143285, 33.39907856283763, 34.823582298687946, 162.53091964125633]}, "3": {"fourier": [14.165176127268937, 15.25708931156501, 15.710401447559358, 16.75773910563823, 18.494288299116814, 18.509995616502557, 22.228204233265384, 27.040593555782706, 29.47857932326954, 29.546197775001644]}, "4": {"fourier": [15.207519291103127, 15.237587288697721, 15.962377051439866, 17.47956780847421, 18.30801718807185, 18.40750032018555, 19.02282156059947, 19.88833874373521, 23.528613303463946, 31.614497162401676]}, "5": {"fourier": [16.970699480749754, 18.680746894038162, 19.46188379031486, 20.07417910596259, 21.51934383837542, 21.64836253486052, 23.12197820319803, 26.836432761442097, 27.054663850147545, 149.2132612466812]}, "6": {"fourier": [19.41964701538274, 21.7638972604964, 22.488935219177105, 23.34917175175598, 23.950114495427133, 26.08494681589886, 26.92608686250189, 27.22301588163164, 27.279157127076477, 28.446018271207883]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [7.018656275878995, 7.339051013242476, 7.364926243029514, 7.998581292165764, 8.21135230145102, 8.957938605406449, 9.210757136341257, 9.948183830389441, 10.902010431022614, 11.671276719434932]}, "1": {"fourier": [6.2874518624411575, 6.293234002720045, 6.5225762744974025, 6.532021789682774, 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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": [[0.344424, 0.185871, 0.236151, 0.10362, -0.335068], [0.664038, -0.230205, -0.33107, -0.50332, -0.032712], [0.070203, 0.659134, 0.072387, 0.312807, -0.36873], [0.52663, -0.677797, 0.140685, 0.226052, 0.115396], [-0.095894, 0.082373, -0.496034, 0.22321, 0.279869], [-0.439455, -0.017437, -0.058778, -0.492622, -0.080264], [0.033075, -0.25499, -0.485657, 0.591022, 0.26341]], "network.0.bias": [-0.148128, 0.237453, 0.150208, -0.30621, -0.169713, 0.1989, -0.028589], "network.2.weight": [[0.21374, -0.487655, 0.140541, -0.29231, 0.161578, 0.104893, -0.091671], [-0.077037, -0.278403, -0.201605, 0.396106, 0.272927, -0.524976, -0.030235], [0.156807, -0.217765, -0.204748, -0.200754, 0.242024, 0.176689, 0.474485], [0.135279, -0.06282, -0.452791, 0.020349, -0.25092, 0.555211, 0.089355], [-0.059443, -0.258025, -0.130949, -0.242857, -0.004523, 0.061838, 0.442819], [-0.258958, -0.142731, -0.12689, -0.208277, 0.137725, -0.026783, 0.48636], [0.543308, 0.40261, 0.629949, 0.299388, -0.351419, -0.033219, 0.10288]], "network.2.bias": [-0.179103, 0.383213, -0.142337, 0.131407, 0.200043, -0.051718, 0.035408], "network.4.weight": [[-0.143243, 0.357677, 0.403746, -0.295327, 0.231324, 0.137363, -0.121718], [-0.616459, -0.374304, 0.050401, 0.080128, 0.409146, 0.069279, 0.054783], [0.073913, -0.275679, -0.067538, -0.240054, -0.230818, -0.451331, 0.22633], [0.073641, -0.421488, -0.392249, 0.00754, -0.164007, -0.51614, 0.280012], [0.612454, -0.337606, -0.264361, 0.0368, -0.119317, -0.414909, 0.544962], [0.324423, 0.042755, -0.485656, 0.123818, 0.011513, -0.049027, 0.392983], [0.126586, -0.130771, 0.573943, -0.217932, 0.639594, 0.283623, -0.057256]], "network.4.bias": [-0.148862, -0.126577, 0.205725, 0.050375, 0.146531, -0.350598, -0.107132], "network.6.weight": [[-0.148423, -0.301771, 0.006089, 0.229609, -0.316497, -0.16191, -0.414024], [-0.353012, -0.123981, 0.289571, -0.0979, -0.22439, -0.33803, -0.550587], [-0.092058, -0.201254, 0.130299, -0.091093, -0.066826, 0.191833, 0.162596], [-0.224615, -0.184136, 0.376272, 0.366569, 0.162392, 0.207296, -0.23761], [0.306092, -0.079306, -0.237015, 0.217972, -0.311113, -0.108122, 0.247969], [-0.146591, -0.312404, 0.137704, -0.224218, -0.282953, -0.180726, 0.106636], [-0.41225, -0.492996, 0.322492, -0.064129, -0.323364, -0.032907, -0.190533]], "network.6.bias": [0.141776, 0.068584, 0.05036, 0.29449, 0.202265, 0.143893, -0.122819], "network.8.weight": [[0.216788, 0.389991, 0.000696, -0.480229, 0.304638, 0.318801, 0.009433]], "network.8.bias": [0.097025]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6964970529079437, "train_acc": 0.48, "val_loss": 0.6696783304214478, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.679762989282608, "train_acc": 0.54, "val_loss": 0.6359422206878662, "val_acc": 0.62}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6551291048526764, "train_acc": 0.56, "val_loss": 0.53175950050354, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5902718603610992, "train_acc": 0.69, "val_loss": 0.44015008211135864, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.547848105430603, "train_acc": 0.735, "val_loss": 0.399768590927124, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.5017362982034683, "train_acc": 0.735, "val_loss": 0.46667686104774475, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.49422381818294525, "train_acc": 0.735, "val_loss": 0.4189913272857666, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.45254458487033844, "train_acc": 0.76, "val_loss": 0.4118994176387787, "val_acc": 0.8}], "summary": {"total_epochs": 8, "degraded_epochs": 2, "improved_epochs": 6, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.6696783304214478, "final_val_loss": 0.6359422206878662, "initial_val_acc": 0.62, "final_val_acc": 0.62, "best_val_acc": 0.62}, "improved_stage": {"initial_val_loss": 0.53175950050354, "final_val_loss": 0.4118994176387787, "initial_val_acc": 0.8, "final_val_acc": 0.8, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.18000000000000005, "first_improvement_epoch": 1}}
|
369
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6774, "learning_rate": 0.08832711261109143, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.133455,
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1.524693
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[
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[
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1.091997
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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.6.weight": [
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"network.10.weight": [
[
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}
## Activation Signature
### 0
fourier: [[26.461324, 26.742282, 27.786325, 27.964247, 39.141803, 39.884965, 39.934054, 46.908771, 47.666274, 316.968464], [48.040489, 49.061214, 49.752080, 55.351390, 63.452461, 63.842631, 72.213761, 78.720409, 85.300276, 213.152652], [43.845836, 46.686691, 49.488178, 51.851241, 54.859106, 56.176796, 58.220758, 63.171208, 70.451093, 138.141880], [32.166040, 34.603755, 34.696874, 36.243751, 42.392775, 46.409581, 49.159406, 56.119514, 58.774018, 168.445702], [38.075705, 38.080023, 38.832021, 38.999681, 39.415359, 40.569929, 44.755612, 49.357352, 57.842831, 419.648292], [14.375651, 14.416563, 15.901065, 16.742077, 18.731545, 19.373510, 19.836207, 21.431874, 23.729631, 183.325928]]
### 2
fourier: [[42.935312, 44.661690, 45.937431, 50.479667, 61.195703, 64.902123, 72.942044, 73.879495, 81.136434, 184.632327], [24.094738, 25.405449, 25.653808, 28.261129, 34.398091, 36.749994, 40.967683, 41.779040, 45.564439, 186.902742], [3.315545, 3.453542, 3.537113, 3.829973, 4.559540, 4.659542, 4.883626, 5.508177, 5.733314, 68.759272], [16.345187, 16.499736, 16.671626, 19.034646, 20.240279, 22.747063, 23.065438, 23.728288, 23.877488, 56.598110], [26.256596, 28.411092, 29.230224, 30.681871, 39.951889, 44.214760, 47.651621, 52.217213, 52.640877, 258.505900], [44.212827, 46.421832, 48.303878, 52.382611, 62.425471, 65.449897, 74.659164, 75.122950, 82.402338, 188.045884]]
### 4
fourier: [[45.626795, 46.307728, 47.392954, 49.541812, 65.086378, 73.887001, 76.498676, 81.732310, 82.054460, 240.608114], [28.082294, 30.016335, 30.808052, 31.659800, 41.828906, 47.112395, 49.290419, 53.750892, 53.876106, 226.588446], [4.892331, 5.030974, 5.262171, 5.769610, 6.146836, 6.360733, 7.933573, 8.420466, 8.435632, 21.894298], [63.834372, 65.279956, 66.530695, 68.274042, 91.407935, 104.658854, 106.091812, 115.381053, 115.734773, 365.873158], [28.538017, 30.491394, 30.507558, 30.609263, 41.681425, 47.690518, 48.530332, 52.896635, 53.366175, 209.777409], [24.450981, 26.111369, 26.138399, 26.256986, 35.919508, 41.100677, 41.493229, 45.569880, 45.625959, 175.187571]]
### 6
fourier: [[68.942755, 72.942421, 73.298099, 73.652539, 101.598316, 115.816672, 115.830974, 126.666815, 128.031096, 443.294551], [60.986931, 64.808205, 65.016909, 65.149660, 89.966970, 102.656605, 102.822282, 112.515562, 113.484340, 306.634433], [19.687579, 20.754966, 20.819244, 20.906691, 28.744719, 32.727104, 32.868183, 35.926523, 36.264732, 144.261113], [4.371704, 4.490773, 4.550377, 4.631753, 6.393420, 6.994353, 7.223483, 7.408822, 7.993824, 8.050582], [51.600740, 54.363384, 54.578351, 55.158772, 75.835326, 86.050358, 86.430924, 94.161523, 95.460341, 330.795969], [20.822051, 21.673809, 21.981950, 22.086075, 30.536759, 34.676467, 34.790794, 37.880328, 38.406140, 150.633111]]
### 8
fourier: [[37.913732, 38.368665, 39.249591, 40.867630, 55.367365, 62.468731, 62.951084, 67.081314, 69.274019, 171.653116], [8.439642, 8.507617, 8.782147, 8.849434, 12.231699, 14.027810, 14.058630, 15.075737, 15.334747, 67.779230], [9.469381, 9.734207, 9.790969, 10.681857, 14.033565, 15.342273, 15.718885, 16.514542, 17.487132, 98.348783], [0.589756, 0.598042, 0.636642, 0.644673, 0.793618, 0.974242, 0.990184, 1.078826, 1.142461, 32.062193], [38.585426, 39.587270, 40.017922, 42.602586, 56.961111, 63.434121, 64.365794, 68.185082, 71.154786, 180.782894], [24.299903, 24.936506, 25.202783, 26.840399, 35.878803, 39.947302, 40.538680, 42.939905, 44.817902, 150.016458]]
### 10
fourier: [[48.822096, 49.439443, 51.546275, 56.765639, 72.451256, 78.713102, 81.422048, 83.063411, 90.464755, 201.728108]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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1.524693
],
[
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-1.322593
],
[
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1.091997
],
[
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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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[
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[
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[
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[
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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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"network.8.bias": [
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"network.10.weight": [
[
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],
"network.10.bias": [
0.756802
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}
## Activation Signature
### 0
fourier: [[26.461324, 26.742282, 27.786325, 27.964247, 39.141803, 39.884965, 39.934054, 46.908771, 47.666274, 316.968464], [48.040489, 49.061214, 49.752080, 55.351390, 63.452461, 63.842631, 72.213761, 78.720409, 85.300276, 213.152652], [43.845836, 46.686691, 49.488178, 51.851241, 54.859106, 56.176796, 58.220758, 63.171208, 70.451093, 138.141880], [32.166040, 34.603755, 34.696874, 36.243751, 42.392775, 46.409581, 49.159406, 56.119514, 58.774018, 168.445702], [38.075705, 38.080023, 38.832021, 38.999681, 39.415359, 40.569929, 44.755612, 49.357352, 57.842831, 419.648292], [14.375651, 14.416563, 15.901065, 16.742077, 18.731545, 19.373510, 19.836207, 21.431874, 23.729631, 183.325928]]
### 2
fourier: [[42.935312, 44.661690, 45.937431, 50.479667, 61.195703, 64.902123, 72.942044, 73.879495, 81.136434, 184.632327], [24.094738, 25.405449, 25.653808, 28.261129, 34.398091, 36.749994, 40.967683, 41.779040, 45.564439, 186.902742], [3.315545, 3.453542, 3.537113, 3.829973, 4.559540, 4.659542, 4.883626, 5.508177, 5.733314, 68.759272], [16.345187, 16.499736, 16.671626, 19.034646, 20.240279, 22.747063, 23.065438, 23.728288, 23.877488, 56.598110], [26.256596, 28.411092, 29.230224, 30.681871, 39.951889, 44.214760, 47.651621, 52.217213, 52.640877, 258.505900], [44.212827, 46.421832, 48.303878, 52.382611, 62.425471, 65.449897, 74.659164, 75.122950, 82.402338, 188.045884]]
### 4
fourier: [[45.626795, 46.307728, 47.392954, 49.541812, 65.086378, 73.887001, 76.498676, 81.732310, 82.054460, 240.608114], [28.082294, 30.016335, 30.808052, 31.659800, 41.828906, 47.112395, 49.290419, 53.750892, 53.876106, 226.588446], [4.892331, 5.030974, 5.262171, 5.769610, 6.146836, 6.360733, 7.933573, 8.420466, 8.435632, 21.894298], [63.834372, 65.279956, 66.530695, 68.274042, 91.407935, 104.658854, 106.091812, 115.381053, 115.734773, 365.873158], [28.538017, 30.491394, 30.507558, 30.609263, 41.681425, 47.690518, 48.530332, 52.896635, 53.366175, 209.777409], [24.450981, 26.111369, 26.138399, 26.256986, 35.919508, 41.100677, 41.493229, 45.569880, 45.625959, 175.187571]]
### 6
fourier: [[68.942755, 72.942421, 73.298099, 73.652539, 101.598316, 115.816672, 115.830974, 126.666815, 128.031096, 443.294551], [60.986931, 64.808205, 65.016909, 65.149660, 89.966970, 102.656605, 102.822282, 112.515562, 113.484340, 306.634433], [19.687579, 20.754966, 20.819244, 20.906691, 28.744719, 32.727104, 32.868183, 35.926523, 36.264732, 144.261113], [4.371704, 4.490773, 4.550377, 4.631753, 6.393420, 6.994353, 7.223483, 7.408822, 7.993824, 8.050582], [51.600740, 54.363384, 54.578351, 55.158772, 75.835326, 86.050358, 86.430924, 94.161523, 95.460341, 330.795969], [20.822051, 21.673809, 21.981950, 22.086075, 30.536759, 34.676467, 34.790794, 37.880328, 38.406140, 150.633111]]
### 8
fourier: [[37.913732, 38.368665, 39.249591, 40.867630, 55.367365, 62.468731, 62.951084, 67.081314, 69.274019, 171.653116], [8.439642, 8.507617, 8.782147, 8.849434, 12.231699, 14.027810, 14.058630, 15.075737, 15.334747, 67.779230], [9.469381, 9.734207, 9.790969, 10.681857, 14.033565, 15.342273, 15.718885, 16.514542, 17.487132, 98.348783], [0.589756, 0.598042, 0.636642, 0.644673, 0.793618, 0.974242, 0.990184, 1.078826, 1.142461, 32.062193], [38.585426, 39.587270, 40.017922, 42.602586, 56.961111, 63.434121, 64.365794, 68.185082, 71.154786, 180.782894], [24.299903, 24.936506, 25.202783, 26.840399, 35.878803, 39.947302, 40.538680, 42.939905, 44.817902, 150.016458]]
### 10
fourier: [[48.822096, 49.439443, 51.546275, 56.765639, 72.451256, 78.713102, 81.422048, 83.063411, 90.464755, 201.728108]]
## 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": [26.461323548161783, 26.74228161813279, 27.786325424906806, 27.96424725689489, 39.14180341972629, 39.88496487506578, 39.93405373931743, 46.90877114006305, 47.66627422228547, 316.96846383810043]}, "1": {"fourier": [48.040489457646835, 49.061213916315765, 49.75207983986619, 55.351390497988675, 63.45246086575254, 63.84263101807423, 72.21376081936566, 78.72040881322354, 85.30027567497415, 213.1526517122984]}, "2": {"fourier": [43.84583646495097, 46.686690507713706, 49.48817825022214, 51.85124144690354, 54.85910593443077, 56.17679619832633, 58.22075827630599, 63.17120778171232, 70.45109342067313, 138.14187985658646]}, "3": {"fourier": [32.166040287900216, 34.60375548542339, 34.69687421846421, 36.24375069534291, 42.39277508833285, 46.409581237257356, 49.159405712832104, 56.11951364761644, 58.774018107370466, 168.44570200145245]}, "4": {"fourier": [38.07570469424312, 38.08002315099183, 38.83202147258927, 38.999681131675445, 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4.659541609818938, 4.883625951136151, 5.50817652097205, 5.733314094766197, 68.75927212834358]}, "3": {"fourier": [16.34518670830332, 16.49973550186116, 16.671625927358942, 19.03464609237041, 20.240279448412323, 22.7470630330017, 23.06543759292393, 23.72828844875048, 23.877487702275648, 56.59810967743397]}, "4": {"fourier": [26.256596433968785, 28.411092416311092, 29.23022386167567, 30.681871412026062, 39.95188865014551, 44.21476025360149, 47.65162054565064, 52.21721338800226, 52.64087666869909, 258.5059002637863]}, "5": {"fourier": [44.212826805458704, 46.42183185708837, 48.30387778737978, 52.38261126996638, 62.425470685101416, 65.4498972244543, 74.65916366459284, 75.12294995643325, 82.40233803095275, 188.045884385705]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [45.62679515980961, 46.30772807802539, 47.392953617591104, 49.541812099040136, 65.08637818216187, 73.88700095594442, 76.49867644750258, 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"num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [48.82209568598324, 49.439442701327685, 51.546274849951644, 56.76563908356839, 72.45125631523791, 78.71310186916645, 81.42204792681422, 83.0634105519293, 90.46475470992027, 201.7281076014042]}}, "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": "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.612827, -0.215487, -0.316398, -0.049868, -0.639909], [1.133455, 0.208489, -0.16031, -0.473824, 1.524693], [-0.750362, 0.197452, -0.216919, 0.62254, -1.322593], [0.876887, 0.06714, -0.467993, -0.011185, 1.091997], [-0.641882, -0.274705, -0.613605, -0.356839, -0.460221], [-0.088431, -0.299706, -0.082443, -0.246397, -0.312427]], "network.0.bias": [-0.809498, 0.048433, -0.211612, 0.312814, -0.748821, -0.294851], "network.2.weight": [[-0.014003, 0.386624, -0.458465, 0.882445, -0.53948, 0.02217], [-0.289612, -0.249295, 0.243643, -0.455493, -0.583827, -0.094756], [-0.311114, -0.169022, -0.138026, 0.12229, -0.086782, 0.158822], [-0.049511, -0.647176, 0.370553, 0.533887, 0.104295, 0.128979], [-0.000313, -0.319287, -0.265013, -0.620987, 0.202194, 0.36891], [-0.097207, 0.497757, -0.604155, 0.718109, -0.312183, -0.140406]], "network.2.bias": [-0.614908, -0.565427, -0.465335, -0.168131, -0.507994, -0.453126], "network.4.weight": [[0.771938, 0.079264, 0.029329, -0.5603, 0.609485, 0.391394], [0.167463, -0.485298, -0.007449, -0.338143, -0.498686, -0.952237], [-0.069792, -0.742953, -0.168315, -0.493641, -0.391835, -0.069202], [0.821457, -0.063957, 0.259865, -0.332372, 0.216721, 0.834511], [-0.721809, -0.902117, -0.400788, -0.075927, -0.319571, -0.055412], [-0.280255, 0.055461, -0.110559, -0.058692, 0.108776, -0.380092]], "network.4.bias": [-0.169715, -0.400634, 0.225371, -0.094833, -0.338334, -0.244759], "network.6.weight": [[-0.655199, -0.07726, -0.12324, -0.666452, 0.366488, 0.24575], [0.365597, -0.264796, -0.012341, 0.739781, 0.140418, 0.102258], [-0.051711, -0.360138, -0.191202, -0.2831, -0.243994, -0.337459], [-0.099296, -0.090169, 0.174077, -0.000188, 0.660885, 0.072296], [-0.630139, 0.001721, -0.452751, -0.400719, 0.056139, -0.138837], [-0.395698, 0.382994, 0.092534, -0.060299, 0.134122, -0.118016]], "network.6.bias": [-0.259911, -0.727469, -0.261046, 0.351963, -0.170871, -0.295093], "network.8.weight": [[-0.188599, 0.622333, -0.318745, -0.641972, 0.006785, 0.369064], [-0.112615, -0.134113, 0.375926, 0.297673, 0.275592, -0.167595], [-0.179749, -0.163854, -0.384115, -0.126119, 0.248652, 0.225998], [0.089717, 0.005933, 0.064561, -0.135154, -0.206131, 0.185345], [0.038324, 0.650795, 0.25232, -0.166162, -0.292528, -0.2769], [-0.665069, -0.410034, 0.018596, 0.099513, -0.512428, 0.265492]], "network.8.bias": [-0.299767, -0.311652, -0.448391, -0.349621, -0.407581, -0.143361], "network.10.weight": [[-0.472529, 0.031375, -0.323136, 0.205925, -0.871014, -0.209768]], "network.10.bias": [0.756802]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7074842154979706, "train_acc": 0.435, "val_loss": 0.6801517009735107, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6925335228443146, "train_acc": 0.565, "val_loss": 0.6599393486976624, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.649069607257843, "train_acc": 0.565, "val_loss": 0.6260857582092285, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6217277944087982, "train_acc": 0.49, "val_loss": 0.5375679135322571, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5320054590702057, "train_acc": 0.765, "val_loss": 0.4795410931110382, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4680897444486618, "train_acc": 0.755, "val_loss": 0.4570501744747162, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4631075859069824, "train_acc": 0.76, "val_loss": 0.4282137155532837, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4194103926420212, "train_acc": 0.8, "val_loss": 0.40511512756347656, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.4237765520811081, "train_acc": 0.815, "val_loss": 0.4029732644557953, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.41727854311466217, "train_acc": 0.815, "val_loss": 0.41649338603019714, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4108959287405014, "train_acc": 0.83, "val_loss": 0.44123703241348267, "val_acc": 0.78}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3962027430534363, "train_acc": 0.835, "val_loss": 0.4471736252307892, "val_acc": 0.8}], "summary": {"total_epochs": 12, "degraded_epochs": 3, "improved_epochs": 9, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6801517009735107, "final_val_loss": 0.6260857582092285, "initial_val_acc": 0.54, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5375679135322571, "final_val_loss": 0.4471736252307892, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.82, "best_epoch": 7}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
370
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.94, "improvement": 0.5399999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2012, "learning_rate": 0.04432942556457251, "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: 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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[
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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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}
## Activation Signature
### 0
fourier: [[29.720429, 29.745446, 34.557063, 35.132391, 35.443888, 36.325358, 36.639030, 40.266759, 40.816070, 184.458286], [14.850425, 14.991376, 15.758318, 16.726071, 17.180180, 20.791879, 22.636868, 23.070835, 24.372102, 114.490603], [19.504285, 19.722818, 20.524109, 21.565799, 23.246712, 25.807821, 27.104700, 28.397925, 29.248526, 140.926419], [11.868053, 11.870457, 12.758881, 14.573392, 15.458589, 16.946596, 17.674238, 17.677653, 20.738233, 91.017094], [26.185204, 26.707127, 28.190973, 28.571691, 29.408543, 34.228375, 34.946789, 34.992215, 38.301453, 171.627498]]
### 2
fourier: [[42.133857, 44.166767, 45.999286, 47.815037, 48.552257, 51.272122, 56.209938, 56.699068, 60.727385, 352.357791], [10.800100, 10.899440, 11.736339, 12.565956, 12.760125, 13.458387, 13.543456, 15.144308, 15.416142, 84.806270], [30.745448, 32.573918, 32.792333, 33.559468, 33.804961, 35.632891, 39.994153, 41.305499, 43.716030, 211.924040], [12.965219, 15.228250, 15.252823, 15.468240, 15.569334, 17.341080, 17.825507, 18.328662, 19.685134, 81.452070], [17.508027, 18.160312, 18.792870, 19.320558, 19.400594, 19.401291, 19.564421, 19.744156, 19.987191, 20.672314]]
### 4
fourier: [[22.300477, 22.324040, 22.691185, 22.909902, 22.913417, 24.002715, 28.483202, 31.159462, 31.997948, 131.998987], [32.317391, 32.726090, 33.331850, 33.586432, 34.634824, 36.306554, 42.945116, 46.827323, 48.715813, 258.221761], [69.367523, 69.641802, 70.578216, 72.864094, 76.692256, 77.439355, 91.215798, 94.958667, 100.990601, 512.559154], [74.567267, 76.892790, 78.655369, 80.945166, 82.893294, 86.313399, 98.669591, 100.390624, 107.606429, 534.222441], [17.700519, 18.518740, 18.653924, 18.823142, 19.040057, 19.780931, 22.779824, 23.360980, 24.731249, 122.557202]]
### 6
fourier: [[30.111952, 31.487519, 32.229091, 32.471654, 33.510944, 35.055453, 40.047744, 40.339659, 43.176851, 205.762286], [46.940630, 48.326811, 49.433720, 49.769558, 51.581993, 52.882446, 61.703043, 62.561756, 66.837272, 309.987225], [32.963495, 33.261545, 33.309924, 33.590777, 35.377168, 36.205273, 43.151584, 45.205889, 47.548494, 249.749236], [30.748864, 32.240124, 33.060668, 33.281056, 34.257893, 35.923496, 40.932832, 41.114724, 44.085577, 207.862595], [146.090246, 146.660974, 149.970190, 150.219522, 160.634666, 161.315466, 192.892369, 199.846290, 212.034403, 1066.345667]]
### 8
fourier: [[125.584893, 125.684686, 127.976576, 128.837301, 136.916146, 138.247497, 165.683035, 171.924726, 181.592897, 893.230743]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.529233,
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],
[
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0.096096,
-0.301417,
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],
[
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0.075755
],
[
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],
[
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],
"network.0.bias": [
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],
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0.571557,
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],
[
-0.312143,
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-0.895423,
0.055148,
-0.257616
],
[
-0.486968,
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0.022132,
-0.115779,
0.787299
]
],
"network.2.bias": [
0.201901,
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],
"network.4.weight": [
[
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],
[
0.988901,
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],
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[
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"network.8.bias": [
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}
## Activation Signature
### 0
fourier: [[29.720429, 29.745446, 34.557063, 35.132391, 35.443888, 36.325358, 36.639030, 40.266759, 40.816070, 184.458286], [14.850425, 14.991376, 15.758318, 16.726071, 17.180180, 20.791879, 22.636868, 23.070835, 24.372102, 114.490603], [19.504285, 19.722818, 20.524109, 21.565799, 23.246712, 25.807821, 27.104700, 28.397925, 29.248526, 140.926419], [11.868053, 11.870457, 12.758881, 14.573392, 15.458589, 16.946596, 17.674238, 17.677653, 20.738233, 91.017094], [26.185204, 26.707127, 28.190973, 28.571691, 29.408543, 34.228375, 34.946789, 34.992215, 38.301453, 171.627498]]
### 2
fourier: [[42.133857, 44.166767, 45.999286, 47.815037, 48.552257, 51.272122, 56.209938, 56.699068, 60.727385, 352.357791], [10.800100, 10.899440, 11.736339, 12.565956, 12.760125, 13.458387, 13.543456, 15.144308, 15.416142, 84.806270], [30.745448, 32.573918, 32.792333, 33.559468, 33.804961, 35.632891, 39.994153, 41.305499, 43.716030, 211.924040], [12.965219, 15.228250, 15.252823, 15.468240, 15.569334, 17.341080, 17.825507, 18.328662, 19.685134, 81.452070], [17.508027, 18.160312, 18.792870, 19.320558, 19.400594, 19.401291, 19.564421, 19.744156, 19.987191, 20.672314]]
### 4
fourier: [[22.300477, 22.324040, 22.691185, 22.909902, 22.913417, 24.002715, 28.483202, 31.159462, 31.997948, 131.998987], [32.317391, 32.726090, 33.331850, 33.586432, 34.634824, 36.306554, 42.945116, 46.827323, 48.715813, 258.221761], [69.367523, 69.641802, 70.578216, 72.864094, 76.692256, 77.439355, 91.215798, 94.958667, 100.990601, 512.559154], [74.567267, 76.892790, 78.655369, 80.945166, 82.893294, 86.313399, 98.669591, 100.390624, 107.606429, 534.222441], [17.700519, 18.518740, 18.653924, 18.823142, 19.040057, 19.780931, 22.779824, 23.360980, 24.731249, 122.557202]]
### 6
fourier: [[30.111952, 31.487519, 32.229091, 32.471654, 33.510944, 35.055453, 40.047744, 40.339659, 43.176851, 205.762286], [46.940630, 48.326811, 49.433720, 49.769558, 51.581993, 52.882446, 61.703043, 62.561756, 66.837272, 309.987225], [32.963495, 33.261545, 33.309924, 33.590777, 35.377168, 36.205273, 43.151584, 45.205889, 47.548494, 249.749236], [30.748864, 32.240124, 33.060668, 33.281056, 34.257893, 35.923496, 40.932832, 41.114724, 44.085577, 207.862595], [146.090246, 146.660974, 149.970190, 150.219522, 160.634666, 161.315466, 192.892369, 199.846290, 212.034403, 1066.345667]]
### 8
fourier: [[125.584893, 125.684686, 127.976576, 128.837301, 136.916146, 138.247497, 165.683035, 171.924726, 181.592897, 893.230743]]
## 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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181.59289732573953, 893.2307433784008]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.411574, 0.668281, 0.529233, -0.307249, -0.240453], [-0.316413, -0.158939, 0.096096, -0.301417, -0.332286], [-0.637359, 0.067831, -0.234514, -0.183315, 0.075755], [0.269788, -0.19746, -0.028989, 0.053869, -0.520186], [0.882949, 0.036828, -0.06846, 0.514253, -0.551051]], "network.0.bias": [0.169527, 0.26672, -0.106744, -0.400622, 0.460929], "network.2.weight": [[0.876327, -0.774538, 0.362075, -0.669608, 0.93796], [-0.2398, 0.601947, -0.190346, 0.58914, -0.232991], [0.571557, -0.140291, 0.481198, 0.214701, 0.706947], [-0.312143, 0.160145, -0.895423, 0.055148, -0.257616], [-0.486968, -0.226863, 0.022132, -0.115779, 0.787299]], "network.2.bias": [0.201901, 0.061557, -0.174787, 0.188606, -0.562179], "network.4.weight": [[-0.18051, -0.388087, -0.382731, -0.037598, -0.448116], [0.684798, -0.199809, -0.017917, -0.056318, 0.734651], [0.988901, -0.356156, 0.747818, -0.844662, 0.653578], [1.018657, -0.333275, 0.944639, -0.469796, 0.28809], [-0.108716, -0.454897, -0.395247, 0.185026, -0.072408]], "network.4.bias": [0.263565, -0.06233, -0.216049, -0.376621, -0.026801], "network.6.weight": [[0.054454, 0.471603, -0.457591, -0.187737, -0.048475], [0.188622, -0.187196, 0.169593, -0.695971, -0.581607], [-0.176264, -0.147525, -0.519524, 0.109307, -0.20969], [0.119015, 0.41512, -0.331684, -0.287924, -0.11678], [-0.573645, 0.751619, 0.979594, 0.708528, -0.23768]], "network.6.bias": [0.100435, 0.223417, -0.062443, 0.111875, -0.120276], "network.8.weight": [[0.237813, 0.252762, 0.017877, 0.261209, -0.859746]], "network.8.bias": [0.300383]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689224511384964, "train_acc": 0.49, "val_loss": 0.7146285176277161, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652200311422348, "train_acc": 0.59, "val_loss": 0.7448058128356934, "val_acc": 0.4}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.647212028503418, "train_acc": 0.59, "val_loss": 0.7143124938011169, "val_acc": 0.4}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5629576444625854, "train_acc": 0.59, "val_loss": 0.6209901571273804, "val_acc": 0.4}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.5040305554866791, "train_acc": 0.525, "val_loss": 0.5251947641372681, "val_acc": 0.4}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.44199278950691223, "train_acc": 0.655, "val_loss": 0.4345732033252716, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.3749427795410156, "train_acc": 0.88, "val_loss": 0.37882423400878906, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.34268710017204285, "train_acc": 0.895, "val_loss": 0.33546924591064453, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.3133890628814697, "train_acc": 0.895, "val_loss": 0.30623093247413635, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.3034638613462448, "train_acc": 0.9, "val_loss": 0.2560470700263977, "val_acc": 0.94}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.24958235770463943, "train_acc": 0.92, "val_loss": 0.25847628712654114, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.2396816462278366, "train_acc": 0.93, "val_loss": 0.2282620370388031, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.2366713061928749, "train_acc": 0.92, "val_loss": 0.22117049992084503, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.20511531084775925, "train_acc": 0.92, "val_loss": 0.21223606169223785, "val_acc": 0.94}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7146285176277161, "final_val_loss": 0.6209901571273804, "initial_val_acc": 0.4, "final_val_acc": 0.4, "best_val_acc": 0.4}, "improved_stage": {"initial_val_loss": 0.5251947641372681, "final_val_loss": 0.21223606169223785, "initial_val_acc": 0.4, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 7}, "improvement": 0.5399999999999999, "first_improvement_epoch": 3}}
|
371
|
{"target_pattern": "alternating", "degraded_accuracy": 0.7, "improved_accuracy": 0.9, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3608, "learning_rate": 0.029590323005073194, "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: 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: [[29.910863, 31.586847, 31.734457, 33.607811, 33.789332, 38.734584, 39.667341, 40.713758, 44.103783, 96.087579], [22.830721, 23.563113, 24.208718, 25.547166, 26.364348, 27.943980, 29.124468, 32.920903, 41.493826, 51.770571], [24.813827, 25.583720, 26.230832, 29.082248, 30.882553, 30.932706, 33.657229, 34.090275, 35.676996, 260.304059], [16.230733, 16.321692, 17.241474, 17.328488, 19.737871, 19.850864, 19.990082, 21.404579, 22.918949, 59.949931], [37.705777, 40.584029, 40.773429, 41.239503, 41.278207, 46.290193, 54.571234, 56.026283, 59.849476, 321.398398], [32.000837, 36.787469, 36.815332, 37.680953, 38.432900, 39.531768, 40.940821, 41.050992, 43.400522, 152.803952]]
### 2
fourier: [[19.608532, 19.870996, 21.024986, 21.225445, 21.548974, 22.428919, 22.774646, 27.128530, 28.130988, 36.149137], [21.766306, 22.204533, 23.113380, 26.967627, 30.231187, 32.809913, 34.516693, 37.735249, 40.809401, 189.467604], [17.031704, 17.083121, 19.965486, 20.531175, 20.558971, 21.446024, 21.472739, 24.177239, 27.141444, 209.416374], [26.031798, 27.322325, 28.654276, 30.096120, 30.215268, 30.253870, 32.693572, 34.266763, 40.624687, 266.555132], [30.242816, 32.165786, 34.611207, 34.830845, 36.769381, 40.223730, 41.609753, 54.308438, 54.800416, 194.003260], [7.049841, 7.542010, 7.682336, 8.301798, 8.669212, 9.766513, 10.400977, 11.077216, 11.376179, 16.266739]]
### 4
fourier: [[25.016726, 26.762064, 27.174356, 29.496061, 31.869561, 37.011376, 38.021823, 40.615546, 45.488690, 209.603341], [22.403802, 22.689441, 23.464989, 23.987973, 28.098382, 28.667685, 30.089187, 34.286865, 36.964782, 179.203676], [5.958008, 6.113336, 6.595847, 7.074727, 7.371814, 7.662618, 8.115160, 8.705104, 9.516507, 45.566225], [23.917964, 24.792102, 25.688706, 26.735206, 27.648250, 30.285254, 30.975466, 41.438573, 41.573705, 203.441909], [19.041868, 21.541469, 21.578339, 21.754330, 22.636347, 22.744080, 23.401324, 25.568490, 30.273250, 155.965578], [30.992290, 31.130688, 32.783647, 32.849754, 37.851191, 37.875072, 41.178355, 46.971457, 48.315567, 258.880212]]
### 6
fourier: [[34.092610, 36.160349, 37.038935, 38.399801, 40.824068, 45.863822, 47.864750, 51.552825, 58.242362, 322.284715], [19.035420, 21.964250, 23.622537, 23.966680, 25.293603, 25.461923, 25.696315, 26.254208, 28.536744, 38.564135], [19.724492, 20.378444, 20.769673, 20.866807, 21.891178, 26.843880, 27.188356, 30.462743, 32.509400, 183.667290], [11.391502, 11.413972, 11.449507, 12.420558, 12.472730, 13.867247, 14.109259, 15.504753, 18.517104, 61.286059], [7.484749, 8.076739, 8.104741, 9.395804, 9.921781, 11.520871, 11.901750, 11.926907, 14.582454, 40.289733], [23.602949, 24.282808, 24.333601, 27.354166, 29.612041, 34.407056, 35.746305, 36.161793, 43.760883, 184.880137]]
### 8
fourier: [[12.274759, 12.476129, 12.854441, 13.718362, 14.275643, 15.091649, 15.097498, 16.153359, 19.830803, 59.169448], [17.772659, 17.915102, 18.493504, 18.969345, 19.542012, 19.581284, 19.880360, 20.359288, 24.146467, 111.597916], [32.364038, 33.475217, 35.931473, 37.602532, 38.190484, 43.402511, 44.969681, 47.036837, 54.504039, 292.626433], [17.472488, 17.737739, 18.270226, 18.751644, 18.975534, 21.689730, 22.783581, 24.366374, 29.351009, 125.197088], [15.981172, 16.090403, 16.514091, 17.563909, 18.537626, 19.721487, 19.850105, 22.059849, 22.891688, 126.478394], [17.364965, 17.942424, 18.349470, 19.314507, 20.833636, 22.786760, 23.252166, 25.810823, 27.013041, 165.133106]]
### 10
fourier: [[0.865055, 0.908628, 0.911063, 0.964900, 1.002741, 1.036731, 1.201913, 1.209394, 1.305825, 46.347028], [18.609995, 18.712933, 19.008194, 19.031875, 21.395012, 25.512762, 25.782523, 27.067145, 32.374423, 102.669133], [30.933631, 32.605849, 33.486252, 37.220732, 37.936043, 38.162952, 40.561446, 43.019090, 43.919990, 209.042682], [21.364138, 21.844374, 22.100206, 22.581862, 24.786829, 28.417315, 29.392068, 31.295430, 37.480345, 126.335249], [13.986436, 14.819135, 15.356562, 15.904694, 16.711077, 17.141981, 17.643962, 18.772418, 22.570785, 89.712835], [11.590689, 11.921667, 12.132150, 12.185236, 13.610224, 16.155204, 16.362070, 17.082439, 20.426662, 62.098948]]
### 12
fourier: [[35.240089, 38.648664, 38.918703, 41.750148, 42.506226, 44.579053, 46.694918, 48.085980, 54.488441, 62.675911]]
## 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: 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: [[29.910863, 31.586847, 31.734457, 33.607811, 33.789332, 38.734584, 39.667341, 40.713758, 44.103783, 96.087579], [22.830721, 23.563113, 24.208718, 25.547166, 26.364348, 27.943980, 29.124468, 32.920903, 41.493826, 51.770571], [24.813827, 25.583720, 26.230832, 29.082248, 30.882553, 30.932706, 33.657229, 34.090275, 35.676996, 260.304059], [16.230733, 16.321692, 17.241474, 17.328488, 19.737871, 19.850864, 19.990082, 21.404579, 22.918949, 59.949931], [37.705777, 40.584029, 40.773429, 41.239503, 41.278207, 46.290193, 54.571234, 56.026283, 59.849476, 321.398398], [32.000837, 36.787469, 36.815332, 37.680953, 38.432900, 39.531768, 40.940821, 41.050992, 43.400522, 152.803952]]
### 2
fourier: [[19.608532, 19.870996, 21.024986, 21.225445, 21.548974, 22.428919, 22.774646, 27.128530, 28.130988, 36.149137], [21.766306, 22.204533, 23.113380, 26.967627, 30.231187, 32.809913, 34.516693, 37.735249, 40.809401, 189.467604], [17.031704, 17.083121, 19.965486, 20.531175, 20.558971, 21.446024, 21.472739, 24.177239, 27.141444, 209.416374], [26.031798, 27.322325, 28.654276, 30.096120, 30.215268, 30.253870, 32.693572, 34.266763, 40.624687, 266.555132], [30.242816, 32.165786, 34.611207, 34.830845, 36.769381, 40.223730, 41.609753, 54.308438, 54.800416, 194.003260], [7.049841, 7.542010, 7.682336, 8.301798, 8.669212, 9.766513, 10.400977, 11.077216, 11.376179, 16.266739]]
### 4
fourier: [[25.016726, 26.762064, 27.174356, 29.496061, 31.869561, 37.011376, 38.021823, 40.615546, 45.488690, 209.603341], [22.403802, 22.689441, 23.464989, 23.987973, 28.098382, 28.667685, 30.089187, 34.286865, 36.964782, 179.203676], [5.958008, 6.113336, 6.595847, 7.074727, 7.371814, 7.662618, 8.115160, 8.705104, 9.516507, 45.566225], [23.917964, 24.792102, 25.688706, 26.735206, 27.648250, 30.285254, 30.975466, 41.438573, 41.573705, 203.441909], [19.041868, 21.541469, 21.578339, 21.754330, 22.636347, 22.744080, 23.401324, 25.568490, 30.273250, 155.965578], [30.992290, 31.130688, 32.783647, 32.849754, 37.851191, 37.875072, 41.178355, 46.971457, 48.315567, 258.880212]]
### 6
fourier: [[34.092610, 36.160349, 37.038935, 38.399801, 40.824068, 45.863822, 47.864750, 51.552825, 58.242362, 322.284715], [19.035420, 21.964250, 23.622537, 23.966680, 25.293603, 25.461923, 25.696315, 26.254208, 28.536744, 38.564135], [19.724492, 20.378444, 20.769673, 20.866807, 21.891178, 26.843880, 27.188356, 30.462743, 32.509400, 183.667290], [11.391502, 11.413972, 11.449507, 12.420558, 12.472730, 13.867247, 14.109259, 15.504753, 18.517104, 61.286059], [7.484749, 8.076739, 8.104741, 9.395804, 9.921781, 11.520871, 11.901750, 11.926907, 14.582454, 40.289733], [23.602949, 24.282808, 24.333601, 27.354166, 29.612041, 34.407056, 35.746305, 36.161793, 43.760883, 184.880137]]
### 8
fourier: [[12.274759, 12.476129, 12.854441, 13.718362, 14.275643, 15.091649, 15.097498, 16.153359, 19.830803, 59.169448], [17.772659, 17.915102, 18.493504, 18.969345, 19.542012, 19.581284, 19.880360, 20.359288, 24.146467, 111.597916], [32.364038, 33.475217, 35.931473, 37.602532, 38.190484, 43.402511, 44.969681, 47.036837, 54.504039, 292.626433], [17.472488, 17.737739, 18.270226, 18.751644, 18.975534, 21.689730, 22.783581, 24.366374, 29.351009, 125.197088], [15.981172, 16.090403, 16.514091, 17.563909, 18.537626, 19.721487, 19.850105, 22.059849, 22.891688, 126.478394], [17.364965, 17.942424, 18.349470, 19.314507, 20.833636, 22.786760, 23.252166, 25.810823, 27.013041, 165.133106]]
### 10
fourier: [[0.865055, 0.908628, 0.911063, 0.964900, 1.002741, 1.036731, 1.201913, 1.209394, 1.305825, 46.347028], [18.609995, 18.712933, 19.008194, 19.031875, 21.395012, 25.512762, 25.782523, 27.067145, 32.374423, 102.669133], [30.933631, 32.605849, 33.486252, 37.220732, 37.936043, 38.162952, 40.561446, 43.019090, 43.919990, 209.042682], [21.364138, 21.844374, 22.100206, 22.581862, 24.786829, 28.417315, 29.392068, 31.295430, 37.480345, 126.335249], [13.986436, 14.819135, 15.356562, 15.904694, 16.711077, 17.141981, 17.643962, 18.772418, 22.570785, 89.712835], [11.590689, 11.921667, 12.132150, 12.185236, 13.610224, 16.155204, 16.362070, 17.082439, 20.426662, 62.098948]]
### 12
fourier: [[35.240089, 38.648664, 38.918703, 41.750148, 42.506226, 44.579053, 46.694918, 48.085980, 54.488441, 62.675911]]
## 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": 0.6800320744514465, "train_acc": 0.57, "val_loss": 0.6868892908096313, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805503368377686, "train_acc": 0.57, "val_loss": 0.6846508979797363, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6767426133155823, "train_acc": 0.57, "val_loss": 0.6788366436958313, "val_acc": 0.56}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6627478301525116, "train_acc": 0.57, "val_loss": 0.6602203249931335, "val_acc": 0.56}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6435285806655884, "train_acc": 0.57, "val_loss": 0.6397345662117004, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6494876146316528, "train_acc": 0.685, "val_loss": 0.5847469568252563, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5373733937740326, "train_acc": 0.705, "val_loss": 0.5661565661430359, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4740951359272003, "train_acc": 0.73, "val_loss": 0.48669445514678955, "val_acc": 0.78}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.3929319232702255, "train_acc": 0.81, "val_loss": 0.4550057351589203, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.2839290201663971, "train_acc": 0.85, "val_loss": 0.3626950979232788, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3225507289171219, "train_acc": 0.875, "val_loss": 0.44612976908683777, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.2889978587627411, "train_acc": 0.88, "val_loss": 0.6783738136291504, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.35550379753112793, "train_acc": 0.86, "val_loss": 0.5070523619651794, "val_acc": 0.88}], "summary": {"total_epochs": 13, "degraded_epochs": 5, "improved_epochs": 8, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6868892908096313, "final_val_loss": 0.6397345662117004, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.5847469568252563, "final_val_loss": 0.5070523619651794, "initial_val_acc": 0.72, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 9}, "improvement": 0.20000000000000007, "first_improvement_epoch": 4}}
|
372
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.82, "improvement": 0.15999999999999992, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9723, "learning_rate": 0.06322913449034749, "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: 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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],
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}
## Activation Signature
### 0
fourier: [[29.966827, 31.437275, 31.558290, 32.603860, 32.925870, 36.669351, 38.305283, 43.228563, 45.444091, 183.947475], [37.309938, 38.272109, 43.610047, 46.203640, 46.450527, 47.128984, 47.634793, 47.865202, 50.853027, 301.531137], [17.335011, 17.354505, 17.450126, 21.638749, 22.721862, 23.205860, 27.058684, 27.390899, 29.035575, 219.536849], [16.202376, 17.151388, 17.465512, 17.988560, 19.693847, 21.250924, 21.556530, 22.580117, 23.473377, 165.796041], [16.942121, 17.469018, 17.934814, 18.628465, 19.522865, 24.083627, 25.402896, 25.577209, 26.742122, 181.865746]]
### 2
fourier: [[52.969624, 56.442842, 56.534983, 60.591352, 64.294000, 66.852354, 68.184589, 70.561882, 76.134477, 434.767307], [25.466667, 26.853602, 27.213124, 28.414155, 28.625927, 29.088053, 30.146323, 36.118014, 38.206600, 69.243815], [19.520638, 19.985863, 20.680675, 23.143131, 23.302401, 24.389699, 25.013886, 25.739229, 27.590466, 111.471887], [17.994050, 18.675857, 19.730444, 22.442268, 22.468111, 22.714782, 24.290996, 25.372180, 26.616701, 141.848442], [16.785696, 17.763514, 17.808027, 18.327819, 18.544118, 19.464672, 19.472583, 21.933884, 24.845514, 112.337940]]
### 4
fourier: [[20.009994, 21.106092, 21.180040, 21.703224, 24.331735, 24.478954, 25.035404, 25.324410, 30.650313, 177.229209], [5.632365, 6.053910, 6.560795, 6.855106, 6.928317, 7.413976, 7.913089, 8.322094, 8.776534, 75.080070], [31.014659, 33.323860, 35.432060, 35.564232, 40.198807, 40.425064, 41.421382, 45.207374, 50.107594, 270.114756], [30.709268, 30.822782, 34.486104, 34.907642, 37.975421, 39.597881, 40.194581, 46.608392, 49.156590, 272.843214], [46.022995, 47.370633, 50.792428, 53.977817, 60.005559, 60.688408, 62.945684, 68.508912, 73.763746, 405.567241]]
### 6
fourier: [[68.426705, 73.676836, 77.882592, 78.889591, 91.470734, 92.381456, 93.871640, 101.951693, 114.634454, 622.659464], [64.732638, 65.298262, 70.917947, 72.253566, 84.144107, 84.203476, 84.764723, 96.325780, 105.714490, 540.320064], [23.882950, 24.969786, 25.374004, 25.387209, 28.042754, 30.156372, 30.260699, 36.667455, 37.933506, 149.502970], [50.771560, 52.521098, 56.336330, 57.122298, 64.891012, 66.362317, 66.779207, 78.307912, 84.181654, 397.409369], [44.346633, 45.224312, 48.672288, 49.750359, 57.851054, 58.066716, 58.417966, 67.034421, 72.937636, 308.785744]]
### 8
fourier: [[79.694604, 80.929079, 86.876989, 89.165683, 103.613557, 103.931499, 105.841085, 118.996286, 130.217930, 646.642105]]
## 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.182657,
0.305781,
0.217691,
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],
[
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0.548722,
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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: [[29.966827, 31.437275, 31.558290, 32.603860, 32.925870, 36.669351, 38.305283, 43.228563, 45.444091, 183.947475], [37.309938, 38.272109, 43.610047, 46.203640, 46.450527, 47.128984, 47.634793, 47.865202, 50.853027, 301.531137], [17.335011, 17.354505, 17.450126, 21.638749, 22.721862, 23.205860, 27.058684, 27.390899, 29.035575, 219.536849], [16.202376, 17.151388, 17.465512, 17.988560, 19.693847, 21.250924, 21.556530, 22.580117, 23.473377, 165.796041], [16.942121, 17.469018, 17.934814, 18.628465, 19.522865, 24.083627, 25.402896, 25.577209, 26.742122, 181.865746]]
### 2
fourier: [[52.969624, 56.442842, 56.534983, 60.591352, 64.294000, 66.852354, 68.184589, 70.561882, 76.134477, 434.767307], [25.466667, 26.853602, 27.213124, 28.414155, 28.625927, 29.088053, 30.146323, 36.118014, 38.206600, 69.243815], [19.520638, 19.985863, 20.680675, 23.143131, 23.302401, 24.389699, 25.013886, 25.739229, 27.590466, 111.471887], [17.994050, 18.675857, 19.730444, 22.442268, 22.468111, 22.714782, 24.290996, 25.372180, 26.616701, 141.848442], [16.785696, 17.763514, 17.808027, 18.327819, 18.544118, 19.464672, 19.472583, 21.933884, 24.845514, 112.337940]]
### 4
fourier: [[20.009994, 21.106092, 21.180040, 21.703224, 24.331735, 24.478954, 25.035404, 25.324410, 30.650313, 177.229209], [5.632365, 6.053910, 6.560795, 6.855106, 6.928317, 7.413976, 7.913089, 8.322094, 8.776534, 75.080070], [31.014659, 33.323860, 35.432060, 35.564232, 40.198807, 40.425064, 41.421382, 45.207374, 50.107594, 270.114756], [30.709268, 30.822782, 34.486104, 34.907642, 37.975421, 39.597881, 40.194581, 46.608392, 49.156590, 272.843214], [46.022995, 47.370633, 50.792428, 53.977817, 60.005559, 60.688408, 62.945684, 68.508912, 73.763746, 405.567241]]
### 6
fourier: [[68.426705, 73.676836, 77.882592, 78.889591, 91.470734, 92.381456, 93.871640, 101.951693, 114.634454, 622.659464], [64.732638, 65.298262, 70.917947, 72.253566, 84.144107, 84.203476, 84.764723, 96.325780, 105.714490, 540.320064], [23.882950, 24.969786, 25.374004, 25.387209, 28.042754, 30.156372, 30.260699, 36.667455, 37.933506, 149.502970], [50.771560, 52.521098, 56.336330, 57.122298, 64.891012, 66.362317, 66.779207, 78.307912, 84.181654, 397.409369], [44.346633, 45.224312, 48.672288, 49.750359, 57.851054, 58.066716, 58.417966, 67.034421, 72.937636, 308.785744]]
### 8
fourier: [[79.694604, 80.929079, 86.876989, 89.165683, 103.613557, 103.931499, 105.841085, 118.996286, 130.217930, 646.642105]]
## 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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130.21792999539457, 646.6421045660973]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.92554, 0.182657, 0.305781, 0.217691, -0.56543], [0.660056, 0.849332, 0.548722, -0.049356, -0.213239], [0.032409, 0.208935, 0.27382, 0.187826, 0.530954], [0.020466, -0.026269, -0.211407, -0.352672, -0.419994], [-0.110391, -0.351089, -0.225372, -0.04358, -0.441199]], "network.0.bias": [0.151031, 0.203886, 0.388636, -0.103896, -0.135217], "network.2.weight": [[0.872089, 0.762356, 0.103756, -0.729156, -0.84217], [-0.602993, -0.325771, 0.506524, 0.458029, 0.073353], [-0.221747, -0.378018, 0.069444, 0.078162, 0.045103], [-0.192617, -0.396791, 0.130291, -0.273205, 0.385846], [0.650459, -0.029603, -0.279268, -0.177087, -0.74092]], "network.2.bias": [0.100167, 0.416136, 0.330744, -0.151945, 0.578307], "network.4.weight": [[-0.227896, -0.037788, 0.020533, 0.728475, -0.559617], [0.093775, 0.635358, 0.233207, 0.040091, -0.121629], [0.436278, -0.26709, 0.046053, -0.280565, 0.608714], [0.406459, -0.480969, 0.164637, -0.145943, 0.609505], [0.720045, -0.456371, -0.480393, -0.633932, 0.613035]], "network.4.bias": [-0.13649, 0.354542, 0.228499, 0.473162, 0.393397], "network.6.weight": [[0.166173, 0.005493, 0.136093, 0.853253, 0.853119], [0.557609, -0.449095, 0.61139, 0.311855, 0.762786], [-0.129602, -0.482572, 0.530946, 0.068177, 0.094598], [-0.464289, 0.516509, -0.549354, -0.769727, -0.214243], [-0.552803, 0.36392, -0.156196, -0.327317, -0.62981]], "network.6.bias": [0.115085, 0.171898, -0.220492, 0.099361, 0.55888], "network.8.weight": [[-0.418317, -0.643107, -0.345641, 0.430776, 0.666126]], "network.8.bias": [0.07754]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6850471198558807, "train_acc": 0.56, "val_loss": 0.6655666828155518, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6210777163505554, "train_acc": 0.56, "val_loss": 0.5293800234794617, "val_acc": 0.66}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.4791494309902191, "train_acc": 0.71, "val_loss": 0.43387657403945923, "val_acc": 0.78}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.365018367767334, "train_acc": 0.835, "val_loss": 0.5216327905654907, "val_acc": 0.78}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.39445796608924866, "train_acc": 0.84, "val_loss": 0.44446009397506714, "val_acc": 0.82}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3777932673692703, "train_acc": 0.84, "val_loss": 0.40982720255851746, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.36168423295021057, "train_acc": 0.855, "val_loss": 0.44337451457977295, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.36661387979984283, "train_acc": 0.845, "val_loss": 0.4456338584423065, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.35458076000213623, "train_acc": 0.84, "val_loss": 0.43098747730255127, "val_acc": 0.78}], "summary": {"total_epochs": 9, "degraded_epochs": 2, "improved_epochs": 7, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6655666828155518, "final_val_loss": 0.5293800234794617, "initial_val_acc": 0.52, "final_val_acc": 0.66, "best_val_acc": 0.66}, "improved_stage": {"initial_val_loss": 0.43387657403945923, "final_val_loss": 0.43098747730255127, "initial_val_acc": 0.78, "final_val_acc": 0.78, "best_val_acc": 0.82, "best_epoch": 4}, "improvement": 0.15999999999999992, "first_improvement_epoch": 1}}
|
373
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8676, "learning_rate": 0.06222911337412292, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[20.044377, 20.336339, 21.547865, 22.676914, 23.944585, 24.041145, 25.186422, 26.401234, 27.746181, 116.082384], [19.699348, 20.338268, 20.385619, 20.633225, 20.853954, 22.070701, 23.555868, 24.577535, 25.724141, 71.123489], [23.242477, 23.495908, 24.711491, 25.536977, 25.720329, 26.234681, 30.427918, 32.468167, 33.755762, 187.153406], [20.944254, 22.040819, 22.295226, 22.680480, 22.975525, 23.742433, 26.449053, 31.255293, 32.743063, 121.641327], [21.681890, 22.455478, 22.751493, 22.891972, 23.710199, 24.868770, 27.340899, 27.698452, 29.743128, 102.036634], [18.672205, 18.975061, 19.245921, 19.333076, 19.897237, 23.073540, 24.515104, 26.338418, 30.630063, 75.391419], [21.637089, 23.625207, 25.652455, 25.711151, 27.350286, 30.807693, 30.911281, 34.378486, 38.458887, 236.591364]]
### 2
fourier: [[26.784574, 27.317965, 28.664155, 29.624190, 32.216040, 32.420386, 32.644655, 34.100358, 37.935622, 40.577048], [17.986213, 18.120893, 20.539923, 21.184283, 21.190415, 24.632664, 29.483014, 29.532455, 29.749332, 221.899254], [26.438559, 27.563948, 28.402381, 32.718877, 32.722240, 34.179508, 34.263762, 34.643135, 39.067743, 46.392884], [18.440512, 18.620650, 20.086827, 22.443425, 22.982008, 25.046760, 25.563436, 28.386553, 28.706654, 251.826354], [9.109498, 9.130820, 9.269613, 9.483563, 11.416985, 11.586033, 11.772423, 12.071203, 13.800474, 68.894316], [24.273376, 26.479493, 27.089272, 29.659704, 29.972372, 30.241003, 32.851001, 36.452125, 36.556406, 113.452681], [18.612325, 19.186580, 19.960089, 20.368870, 22.382129, 22.555708, 23.172739, 27.511436, 28.055468, 37.989566]]
### 4
fourier: [[36.643828, 36.986665, 37.431724, 38.187193, 39.559041, 46.152791, 46.531168, 52.580133, 53.063483, 200.012047], [25.095911, 25.197022, 25.361209, 25.398305, 27.208545, 30.795173, 31.421312, 35.185234, 36.287613, 105.867131], [29.131531, 29.486665, 29.831004, 30.901336, 33.241068, 33.672251, 39.464382, 42.379990, 42.964622, 135.539046], [12.610720, 12.911765, 13.150400, 14.835594, 14.845892, 15.637534, 17.448295, 17.923156, 18.921217, 65.688723], [4.211608, 4.519800, 4.524388, 4.549553, 4.598143, 4.885107, 4.957529, 5.634813, 6.955649, 91.719425], [13.343578, 13.681442, 14.366889, 14.409459, 14.769108, 15.049522, 17.002174, 17.171268, 20.622679, 102.380608], [27.980664, 28.301782, 29.050567, 30.298927, 31.660321, 33.182290, 36.835327, 41.008838, 42.019860, 116.476069]]
### 6
fourier: [[34.898276, 35.568131, 35.592917, 37.087810, 38.366378, 43.223920, 46.144789, 50.240993, 50.787641, 188.511474], [7.031796, 7.558014, 8.142728, 8.215168, 8.543090, 9.134852, 10.327952, 10.503314, 12.328512, 57.621861], [1.660899, 1.669797, 1.680233, 1.787428, 1.901786, 1.916132, 1.962911, 1.978765, 2.635188, 48.236222], [27.053081, 27.066417, 27.794315, 28.623698, 29.193329, 32.227773, 35.119715, 38.916771, 39.978161, 133.953215], [26.309441, 26.481823, 26.519900, 27.404649, 28.446541, 32.490321, 33.497030, 37.430317, 38.015458, 180.940310], [2.268233, 2.332739, 2.562414, 2.564871, 2.906841, 3.070876, 3.106900, 3.499415, 3.948737, 12.791121], [11.777996, 12.145043, 12.264229, 12.397023, 13.228059, 14.379420, 16.525998, 17.059768, 18.499109, 59.143540]]
### 8
fourier: [[47.611705, 48.713011, 49.134715, 51.275092, 52.816038, 60.627901, 61.567716, 69.396020, 71.492978, 280.159305], [4.553708, 4.802670, 4.909228, 5.167152, 5.319103, 7.047250, 7.149595, 7.823839, 8.465153, 14.880769], [27.459341, 27.975392, 28.737714, 29.293729, 30.274044, 34.966140, 35.215717, 40.022156, 41.282853, 153.151900], [1.529305, 1.606510, 1.691894, 1.738100, 1.808679, 1.874051, 2.645812, 2.671499, 2.723932, 20.352111], [3.129243, 3.154775, 3.164207, 3.299121, 3.350820, 4.116639, 4.482288, 4.618360, 5.322853, 36.022413], [0.942465, 1.028151, 1.039507, 1.108143, 1.243296, 1.412069, 1.468956, 1.647328, 1.661023, 2.281857], [12.218847, 12.545026, 12.573854, 13.270171, 13.705204, 14.731959, 16.726358, 17.355479, 17.799602, 123.785305]]
### 10
fourier: [[13.110623, 13.349675, 13.375823, 13.965000, 14.510240, 16.403239, 16.584671, 18.963187, 19.795312, 48.566988]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[20.044377, 20.336339, 21.547865, 22.676914, 23.944585, 24.041145, 25.186422, 26.401234, 27.746181, 116.082384], [19.699348, 20.338268, 20.385619, 20.633225, 20.853954, 22.070701, 23.555868, 24.577535, 25.724141, 71.123489], [23.242477, 23.495908, 24.711491, 25.536977, 25.720329, 26.234681, 30.427918, 32.468167, 33.755762, 187.153406], [20.944254, 22.040819, 22.295226, 22.680480, 22.975525, 23.742433, 26.449053, 31.255293, 32.743063, 121.641327], [21.681890, 22.455478, 22.751493, 22.891972, 23.710199, 24.868770, 27.340899, 27.698452, 29.743128, 102.036634], [18.672205, 18.975061, 19.245921, 19.333076, 19.897237, 23.073540, 24.515104, 26.338418, 30.630063, 75.391419], [21.637089, 23.625207, 25.652455, 25.711151, 27.350286, 30.807693, 30.911281, 34.378486, 38.458887, 236.591364]]
### 2
fourier: [[26.784574, 27.317965, 28.664155, 29.624190, 32.216040, 32.420386, 32.644655, 34.100358, 37.935622, 40.577048], [17.986213, 18.120893, 20.539923, 21.184283, 21.190415, 24.632664, 29.483014, 29.532455, 29.749332, 221.899254], [26.438559, 27.563948, 28.402381, 32.718877, 32.722240, 34.179508, 34.263762, 34.643135, 39.067743, 46.392884], [18.440512, 18.620650, 20.086827, 22.443425, 22.982008, 25.046760, 25.563436, 28.386553, 28.706654, 251.826354], [9.109498, 9.130820, 9.269613, 9.483563, 11.416985, 11.586033, 11.772423, 12.071203, 13.800474, 68.894316], [24.273376, 26.479493, 27.089272, 29.659704, 29.972372, 30.241003, 32.851001, 36.452125, 36.556406, 113.452681], [18.612325, 19.186580, 19.960089, 20.368870, 22.382129, 22.555708, 23.172739, 27.511436, 28.055468, 37.989566]]
### 4
fourier: [[36.643828, 36.986665, 37.431724, 38.187193, 39.559041, 46.152791, 46.531168, 52.580133, 53.063483, 200.012047], [25.095911, 25.197022, 25.361209, 25.398305, 27.208545, 30.795173, 31.421312, 35.185234, 36.287613, 105.867131], [29.131531, 29.486665, 29.831004, 30.901336, 33.241068, 33.672251, 39.464382, 42.379990, 42.964622, 135.539046], [12.610720, 12.911765, 13.150400, 14.835594, 14.845892, 15.637534, 17.448295, 17.923156, 18.921217, 65.688723], [4.211608, 4.519800, 4.524388, 4.549553, 4.598143, 4.885107, 4.957529, 5.634813, 6.955649, 91.719425], [13.343578, 13.681442, 14.366889, 14.409459, 14.769108, 15.049522, 17.002174, 17.171268, 20.622679, 102.380608], [27.980664, 28.301782, 29.050567, 30.298927, 31.660321, 33.182290, 36.835327, 41.008838, 42.019860, 116.476069]]
### 6
fourier: [[34.898276, 35.568131, 35.592917, 37.087810, 38.366378, 43.223920, 46.144789, 50.240993, 50.787641, 188.511474], [7.031796, 7.558014, 8.142728, 8.215168, 8.543090, 9.134852, 10.327952, 10.503314, 12.328512, 57.621861], [1.660899, 1.669797, 1.680233, 1.787428, 1.901786, 1.916132, 1.962911, 1.978765, 2.635188, 48.236222], [27.053081, 27.066417, 27.794315, 28.623698, 29.193329, 32.227773, 35.119715, 38.916771, 39.978161, 133.953215], [26.309441, 26.481823, 26.519900, 27.404649, 28.446541, 32.490321, 33.497030, 37.430317, 38.015458, 180.940310], [2.268233, 2.332739, 2.562414, 2.564871, 2.906841, 3.070876, 3.106900, 3.499415, 3.948737, 12.791121], [11.777996, 12.145043, 12.264229, 12.397023, 13.228059, 14.379420, 16.525998, 17.059768, 18.499109, 59.143540]]
### 8
fourier: [[47.611705, 48.713011, 49.134715, 51.275092, 52.816038, 60.627901, 61.567716, 69.396020, 71.492978, 280.159305], [4.553708, 4.802670, 4.909228, 5.167152, 5.319103, 7.047250, 7.149595, 7.823839, 8.465153, 14.880769], [27.459341, 27.975392, 28.737714, 29.293729, 30.274044, 34.966140, 35.215717, 40.022156, 41.282853, 153.151900], [1.529305, 1.606510, 1.691894, 1.738100, 1.808679, 1.874051, 2.645812, 2.671499, 2.723932, 20.352111], [3.129243, 3.154775, 3.164207, 3.299121, 3.350820, 4.116639, 4.482288, 4.618360, 5.322853, 36.022413], [0.942465, 1.028151, 1.039507, 1.108143, 1.243296, 1.412069, 1.468956, 1.647328, 1.661023, 2.281857], [12.218847, 12.545026, 12.573854, 13.270171, 13.705204, 14.731959, 16.726358, 17.355479, 17.799602, 123.785305]]
### 10
fourier: [[13.110623, 13.349675, 13.375823, 13.965000, 14.510240, 16.403239, 16.584671, 18.963187, 19.795312, 48.566988]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.546174, 0.157176, -0.047259, 0.150074, 0.655289], [0.613117, 0.287401, -0.189501, -0.148487, -0.106727], [-0.670451, -0.157658, -0.027628, -0.454374, 0.438677], [0.592635, -0.042515, 0.370599, 0.094787, -0.542727], [0.339309, 0.042392, 0.118581, 0.556384, -0.723479], [-0.428247, -0.005556, 0.291339, -0.148658, 0.678275], [0.169644, 0.603289, 0.233372, 0.389461, -0.140766]], "network.0.bias": [0.651783, 0.349462, -0.466799, 0.383498, 0.085693, 0.254413, 0.169301], "network.2.weight": [[-0.401737, 0.605301, 0.352698, 0.454376, -0.101662, -0.567299, 0.170561], [-0.643551, 0.076659, -0.141611, 0.006863, 0.100679, -0.476266, -0.303947], [-0.440586, 0.038937, -0.076375, 0.288953, 0.360272, -0.738897, 0.251192], [-0.541966, -0.278021, -0.157773, -0.077668, 0.18908, -0.407445, -0.487639], [0.112178, -0.336941, 0.085789, 0.277315, 0.249197, -0.203758, -0.462305], [-0.481125, 0.740365, 0.220703, 0.294984, 0.385554, -0.055952, -0.08592], [-0.345035, 0.273952, -0.257165, 0.49755, 0.159737, -0.102896, -0.094816]], "network.2.bias": [-0.180298, -0.565911, 0.248803, -0.324436, 0.033874, 0.63864, 0.07129], "network.4.weight": [[0.506714, -0.723265, 0.601755, -0.633209, 0.254606, 0.571232, 0.219948], [-0.219117, 0.137342, -0.464822, 0.468366, -0.248086, -0.296645, -0.402164], [0.538722, -0.669035, 0.069527, -0.649298, -0.146557, 0.692692, 0.077655], [-0.64926, -0.242452, -0.449709, 0.448662, 0.488444, 0.409926, -0.084989], [0.109137, 0.31378, -0.286153, 0.643836, 0.108621, -0.141233, 0.158481], [0.158136, -0.723212, 0.608262, -0.642413, -0.068796, 0.120554, -0.252466], [-0.214822, 0.331396, -0.282855, 0.40005, -0.324664, -0.468729, -0.590528]], "network.4.bias": [0.194012, 0.177925, -0.087533, -0.231516, -0.643991, 0.285069, 0.232021], "network.6.weight": [[0.624289, -0.22782, 0.183359, 0.365712, 0.147491, 0.488488, -0.233613], [0.063034, -0.125407, -0.275858, 0.027643, 0.169752, -0.151799, -0.218501], [-0.150763, -0.00612, 0.043043, -0.365398, -0.091988, 0.384573, -0.010952], [0.442926, 0.116921, 0.374895, 0.081703, 0.248662, -0.053665, -0.143331], [-0.565756, 0.519298, -0.094749, -0.165822, -0.143903, -0.16973, -0.109842], [-0.371547, 0.590433, 0.199993, -0.108713, 0.147242, 0.448771, -0.093865], [0.162159, 0.301435, 0.247037, 0.567782, -0.180585, -0.110148, -0.164755]], "network.6.bias": [0.023335, -0.196583, 0.360688, 0.091977, -0.504601, -0.071803, 0.08357], "network.8.weight": [[-0.778112, -0.002831, -0.49597, -0.767321, 0.337965, 0.230847, 0.040468], [-0.181462, -0.03492, 0.082306, 0.080864, 0.34665, -0.199507, 0.731158], [0.551425, 0.103952, -0.218423, 0.279607, -0.252318, 0.053941, 0.071336], [-0.037761, -0.272093, -0.292105, -0.041419, -0.330694, 0.177305, 0.360629], [-0.114632, -0.173916, -0.106467, 0.232983, 0.315821, 0.132871, 0.069935], [-0.000801, -0.281765, -0.230546, -0.160495, -0.189826, 0.313853, 0.452884], [-0.297104, 0.020675, -0.581576, -0.138166, 0.728461, 0.653544, 0.184102]], "network.8.bias": [-0.235315, -0.01528, 0.217237, -0.244048, -0.478691, -0.007915, -0.353064], "network.10.weight": [[-0.387922, -0.074958, -0.442339, 0.185788, 0.108228, 0.104441, -0.329884]], "network.10.bias": [0.140741]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930868029594421, "train_acc": 0.51, "val_loss": 0.7402382493019104, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6686333119869232, "train_acc": 0.59, "val_loss": 0.745253324508667, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6217935085296631, "train_acc": 0.59, "val_loss": 0.7057153582572937, "val_acc": 0.46}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5678372085094452, "train_acc": 0.59, "val_loss": 0.6395665407180786, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6084065437316895, "train_acc": 0.55, "val_loss": 0.5973723530769348, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5366982221603394, "train_acc": 0.775, "val_loss": 0.5612459778785706, "val_acc": 0.72}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5071805417537689, "train_acc": 0.745, "val_loss": 0.519000232219696, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.4610319435596466, "train_acc": 0.79, "val_loss": 0.49784842133522034, "val_acc": 0.76}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.46321670711040497, "train_acc": 0.785, "val_loss": 0.4929577112197876, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.44500064849853516, "train_acc": 0.79, "val_loss": 0.4869452714920044, "val_acc": 0.76}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.400371789932251, "train_acc": 0.805, "val_loss": 0.5547297596931458, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.43401217460632324, "train_acc": 0.79, "val_loss": 0.5223802328109741, "val_acc": 0.72}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4128570854663849, "train_acc": 0.79, "val_loss": 0.4955229163169861, "val_acc": 0.76}], "summary": {"total_epochs": 13, "degraded_epochs": 4, "improved_epochs": 9, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7402382493019104, "final_val_loss": 0.6395665407180786, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.5973723530769348, "final_val_loss": 0.4955229163169861, "initial_val_acc": 0.76, "final_val_acc": 0.76, "best_val_acc": 0.76, "best_epoch": 4}, "improvement": 0.3, "first_improvement_epoch": 3}}
|
374
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.44, "improved_accuracy": 0.8, "improvement": 0.36000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9680, "learning_rate": 0.09328516825036907, "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: 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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"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: [[18.352164, 18.870377, 18.932562, 19.274471, 19.351585, 21.367365, 21.694338, 22.290560, 22.720566, 61.665116], [30.978689, 31.492797, 32.357023, 33.663833, 39.786488, 43.198124, 43.787310, 51.320529, 52.997366, 289.400365], [24.401274, 25.016170, 25.554993, 25.678528, 27.219150, 32.766985, 34.408187, 34.823600, 38.921749, 171.219687], [17.432736, 17.533496, 17.705256, 18.191569, 18.728501, 19.778415, 20.111153, 20.197762, 20.607219, 74.805371], [11.567412, 11.588684, 11.612301, 12.047761, 13.627411, 13.663757, 14.094797, 17.599341, 17.800187, 77.653214], [12.255604, 12.393461, 14.704431, 15.308939, 16.234263, 16.805656, 17.388107, 17.592767, 18.650892, 24.882608]]
### 2
fourier: [[11.319515, 11.578833, 12.615697, 13.725947, 14.618303, 15.302139, 16.134883, 17.315196, 18.242811, 109.740169], [13.152753, 13.624846, 14.369703, 15.727094, 16.351418, 16.535436, 18.362753, 20.256267, 22.780963, 183.349579], [12.172427, 12.657065, 14.014651, 14.775677, 14.816983, 16.927761, 18.078607, 20.784959, 21.938541, 190.037358], [11.024533, 11.498536, 11.945863, 12.292362, 16.288968, 16.490380, 16.792304, 18.461536, 20.813601, 102.924441], [17.924284, 17.936110, 20.320228, 20.674748, 23.833369, 29.741728, 31.006049, 33.439557, 38.975587, 178.340255], [21.485880, 21.616917, 21.935622, 23.005316, 25.766129, 33.926259, 34.427260, 35.818339, 41.961161, 174.558349]]
### 4
fourier: [[3.108271, 3.437675, 3.666987, 3.681551, 3.805987, 4.100376, 4.762656, 5.271314, 6.046044, 22.515547], [10.464252, 10.619508, 11.939933, 12.254134, 14.059247, 17.468804, 18.280348, 19.763144, 23.007706, 124.308136], [14.358246, 14.366467, 14.657571, 15.330896, 17.139413, 22.611084, 22.922406, 23.807982, 27.903455, 120.397904], [1.027320, 1.083820, 1.093563, 1.200151, 1.238388, 1.326516, 1.362195, 1.668056, 1.914563, 25.564633], [16.084573, 16.452727, 16.459436, 17.392220, 19.580049, 25.629175, 26.062784, 27.241880, 31.900809, 134.515014], [1.562672, 1.592673, 1.605000, 1.615932, 1.769401, 2.062056, 2.083543, 2.139281, 2.179123, 34.254035]]
### 6
fourier: [[10.387029, 10.723749, 10.910288, 11.226829, 12.415859, 16.579932, 16.752639, 17.228495, 20.199275, 91.429250], [8.693811, 8.867938, 9.065029, 9.496411, 10.762024, 14.005025, 14.269324, 14.956274, 17.528909, 108.956590], [1.883643, 2.072980, 2.193799, 2.275496, 2.311689, 2.766904, 3.071592, 3.112468, 3.679485, 74.530191], [8.643323, 9.118888, 9.225533, 9.439764, 10.412985, 12.662462, 14.085513, 14.141802, 14.303384, 16.877254], [14.943516, 15.083111, 15.376316, 16.006571, 17.839324, 23.619476, 23.922532, 24.776928, 29.038885, 86.317935], [1.826826, 1.865439, 1.977461, 2.126843, 2.377257, 2.876834, 3.069414, 3.366789, 3.901675, 35.770959]]
### 8
fourier: [[7.859525, 8.002799, 8.205755, 8.424689, 9.533299, 12.310397, 12.461237, 13.008186, 15.095408, 46.760440], [3.823699, 3.963310, 4.047190, 4.051410, 4.182794, 5.564862, 5.944853, 6.016374, 7.627929, 36.195960], [8.955750, 9.226936, 9.271859, 9.306823, 9.319862, 13.395282, 13.611148, 13.813718, 17.231783, 50.829919], [6.750986, 6.886686, 6.968723, 7.051556, 7.436080, 10.207899, 10.416298, 10.467934, 12.912860, 55.814890], [1.360196, 1.389144, 1.397779, 1.406039, 1.446569, 2.024029, 2.041628, 2.090458, 2.594706, 35.924396], [2.344873, 2.415553, 2.528446, 2.671066, 3.093174, 3.719591, 3.795586, 4.109353, 4.410198, 49.515677]]
### 10
fourier: [[5.852250, 6.009064, 6.151423, 6.229214, 7.011382, 8.997873, 9.273044, 9.456480, 11.153276, 37.286992]]
## 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: 6
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: [[18.352164, 18.870377, 18.932562, 19.274471, 19.351585, 21.367365, 21.694338, 22.290560, 22.720566, 61.665116], [30.978689, 31.492797, 32.357023, 33.663833, 39.786488, 43.198124, 43.787310, 51.320529, 52.997366, 289.400365], [24.401274, 25.016170, 25.554993, 25.678528, 27.219150, 32.766985, 34.408187, 34.823600, 38.921749, 171.219687], [17.432736, 17.533496, 17.705256, 18.191569, 18.728501, 19.778415, 20.111153, 20.197762, 20.607219, 74.805371], [11.567412, 11.588684, 11.612301, 12.047761, 13.627411, 13.663757, 14.094797, 17.599341, 17.800187, 77.653214], [12.255604, 12.393461, 14.704431, 15.308939, 16.234263, 16.805656, 17.388107, 17.592767, 18.650892, 24.882608]]
### 2
fourier: [[11.319515, 11.578833, 12.615697, 13.725947, 14.618303, 15.302139, 16.134883, 17.315196, 18.242811, 109.740169], [13.152753, 13.624846, 14.369703, 15.727094, 16.351418, 16.535436, 18.362753, 20.256267, 22.780963, 183.349579], [12.172427, 12.657065, 14.014651, 14.775677, 14.816983, 16.927761, 18.078607, 20.784959, 21.938541, 190.037358], [11.024533, 11.498536, 11.945863, 12.292362, 16.288968, 16.490380, 16.792304, 18.461536, 20.813601, 102.924441], [17.924284, 17.936110, 20.320228, 20.674748, 23.833369, 29.741728, 31.006049, 33.439557, 38.975587, 178.340255], [21.485880, 21.616917, 21.935622, 23.005316, 25.766129, 33.926259, 34.427260, 35.818339, 41.961161, 174.558349]]
### 4
fourier: [[3.108271, 3.437675, 3.666987, 3.681551, 3.805987, 4.100376, 4.762656, 5.271314, 6.046044, 22.515547], [10.464252, 10.619508, 11.939933, 12.254134, 14.059247, 17.468804, 18.280348, 19.763144, 23.007706, 124.308136], [14.358246, 14.366467, 14.657571, 15.330896, 17.139413, 22.611084, 22.922406, 23.807982, 27.903455, 120.397904], [1.027320, 1.083820, 1.093563, 1.200151, 1.238388, 1.326516, 1.362195, 1.668056, 1.914563, 25.564633], [16.084573, 16.452727, 16.459436, 17.392220, 19.580049, 25.629175, 26.062784, 27.241880, 31.900809, 134.515014], [1.562672, 1.592673, 1.605000, 1.615932, 1.769401, 2.062056, 2.083543, 2.139281, 2.179123, 34.254035]]
### 6
fourier: [[10.387029, 10.723749, 10.910288, 11.226829, 12.415859, 16.579932, 16.752639, 17.228495, 20.199275, 91.429250], [8.693811, 8.867938, 9.065029, 9.496411, 10.762024, 14.005025, 14.269324, 14.956274, 17.528909, 108.956590], [1.883643, 2.072980, 2.193799, 2.275496, 2.311689, 2.766904, 3.071592, 3.112468, 3.679485, 74.530191], [8.643323, 9.118888, 9.225533, 9.439764, 10.412985, 12.662462, 14.085513, 14.141802, 14.303384, 16.877254], [14.943516, 15.083111, 15.376316, 16.006571, 17.839324, 23.619476, 23.922532, 24.776928, 29.038885, 86.317935], [1.826826, 1.865439, 1.977461, 2.126843, 2.377257, 2.876834, 3.069414, 3.366789, 3.901675, 35.770959]]
### 8
fourier: [[7.859525, 8.002799, 8.205755, 8.424689, 9.533299, 12.310397, 12.461237, 13.008186, 15.095408, 46.760440], [3.823699, 3.963310, 4.047190, 4.051410, 4.182794, 5.564862, 5.944853, 6.016374, 7.627929, 36.195960], [8.955750, 9.226936, 9.271859, 9.306823, 9.319862, 13.395282, 13.611148, 13.813718, 17.231783, 50.829919], [6.750986, 6.886686, 6.968723, 7.051556, 7.436080, 10.207899, 10.416298, 10.467934, 12.912860, 55.814890], [1.360196, 1.389144, 1.397779, 1.406039, 1.446569, 2.024029, 2.041628, 2.090458, 2.594706, 35.924396], [2.344873, 2.415553, 2.528446, 2.671066, 3.093174, 3.719591, 3.795586, 4.109353, 4.410198, 49.515677]]
### 10
fourier: [[5.852250, 6.009064, 6.151423, 6.229214, 7.011382, 8.997873, 9.273044, 9.456480, 11.153276, 37.286992]]
## 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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.263176, 0.432205, 0.096043, 0.266082, -0.401284], [0.7061, 0.365616, 0.25347, 0.150313, 0.658557], [0.635439, 0.305204, -0.06144, -0.077107, 0.52549], [-0.130473, -0.300077, 0.046267, 0.403781, 0.440346], [0.027425, -0.472165, 0.19777, 0.00819, -0.253542], [-0.441222, 0.16233, 0.076969, -0.046644, -0.28095]], "network.0.bias": [-0.051202, 0.006595, 0.201112, 0.034718, -0.154533, 0.34355], "network.2.weight": [[-0.008423, -0.143949, -0.336513, 0.040644, 0.047586, -0.354233], [-0.30112, -0.231485, -0.190994, -0.327507, -0.396318, -0.105556], [-0.115586, -0.345908, -0.040234, -0.21745, -0.417446, -0.037037], [0.392512, -0.53372, 0.21641, 0.07911, 0.062305, -0.376166], [-0.476979, 0.356001, 0.230459, 0.421233, -0.124209, -0.027146], [-0.309176, 0.240622, 0.533879, 0.332771, -0.109406, -0.127969]], "network.2.bias": [-0.038725, -0.277644, -0.56834, -0.160889, 0.421832, 0.136828], "network.4.weight": [[0.188058, 0.010078, -0.421819, 0.650295, -0.462936, 0.286284], [-0.064592, 0.035645, 0.066724, -0.611181, -0.639547, 0.045598], [-0.190688, 0.337698, 0.117939, -0.368976, -0.027583, 0.690505], [0.244029, 0.240813, -0.283152, -0.306481, -0.327109, 0.28791], [0.099233, 0.351214, 0.519935, -0.01277, 0.091022, 0.675717], [0.332225, -0.26267, -0.110436, 0.042172, 0.404907, -0.397508]], "network.4.bias": [0.111802, -0.202246, 0.053209, -0.194231, 0.00367, 0.349229], "network.6.weight": [[0.020789, -0.084923, 0.159987, -0.311516, 0.48074, -0.444865], [0.130023, -0.052939, -0.589396, -0.241605, -0.042138, -0.309818], [0.575456, -0.21466, -0.332047, -0.162859, 0.160995, -0.587312], [0.621109, -0.19155, -0.25531, 0.059999, -0.29063, 0.433621], [0.004359, 0.046569, 0.27288, 0.305027, 0.662415, -0.325177], [-0.029159, 0.089645, 0.317719, -0.040364, -0.407761, -0.26515]], "network.6.bias": [0.252457, -0.242496, -0.406458, 0.46431, -0.27229, -0.11185], "network.8.weight": [[0.123448, -0.543833, 0.062966, -0.09095, 0.440385, -0.172776], [-0.337469, 0.39684, 0.05377, 0.375991, 0.048485, 0.08671], [0.461234, 0.053139, -0.467751, -0.595551, 0.164845, 0.074471], [-0.007929, 0.33202, 0.352886, 0.375668, -0.386762, -0.166874], [0.014917, -0.072045, 0.147442, 0.099232, -0.084938, 0.181229], [-0.225018, 0.05486, 0.089609, -0.135783, -0.023268, 0.114933]], "network.8.bias": [-0.03193, -0.195035, 0.065865, -0.305937, -0.350923, -0.266738], "network.10.weight": [[-0.42658, -0.37461, -0.31076, 0.402648, 0.0498, 0.324657]], "network.10.bias": [0.005399]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869588494300842, "train_acc": 0.575, "val_loss": 0.7241050601005554, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6882149577140808, "train_acc": 0.575, "val_loss": 0.6868981719017029, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.7738759517669678, "train_acc": 0.515, "val_loss": 0.5846742391586304, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.5993930101394653, "train_acc": 0.78, "val_loss": 0.6339584589004517, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.6381519138813019, "train_acc": 0.76, "val_loss": 0.6167097687721252, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6053417026996613, "train_acc": 0.755, "val_loss": 0.5562193989753723, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.528687447309494, "train_acc": 0.8, "val_loss": 0.5110994577407837, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4542636573314667, "train_acc": 0.78, "val_loss": 0.5532321929931641, "val_acc": 0.78}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.44303372502326965, "train_acc": 0.8, "val_loss": 0.5955592393875122, "val_acc": 0.78}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.46044662594795227, "train_acc": 0.8, "val_loss": 0.5755840539932251, "val_acc": 0.78}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7241050601005554, "final_val_loss": 0.6868981719017029, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.5846742391586304, "final_val_loss": 0.5755840539932251, "initial_val_acc": 0.8, "final_val_acc": 0.78, "best_val_acc": 0.8, "best_epoch": 2}, "improvement": 0.36000000000000004, "first_improvement_epoch": 1}}
|
375
|
{"target_pattern": "first_last_match", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3425, "learning_rate": 0.02224584009857994, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.0.bias": [
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"network.10.weight": [
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"network.12.weight": [
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],
"network.12.bias": [
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]
}
## Activation Signature
### 0
fourier: [[17.153326, 17.839739, 18.229688, 18.336827, 19.094146, 22.545786, 23.822496, 26.253673, 32.328041, 104.767062], [14.102497, 14.104697, 14.785738, 16.164176, 16.703146, 16.870209, 17.603780, 19.388945, 19.769345, 168.438351], [17.144653, 17.740574, 17.764740, 17.928220, 18.373549, 18.866448, 19.107312, 20.381000, 22.624550, 58.880454], [13.609957, 14.252659, 14.967571, 15.388434, 15.603343, 16.005296, 17.029592, 21.466453, 23.546729, 42.745107], [12.399890, 12.804230, 13.886771, 14.357477, 14.399032, 15.124573, 16.010328, 16.420712, 17.047101, 19.960803]]
### 2
fourier: [[8.583716, 8.769224, 9.102153, 9.291724, 10.167336, 11.075836, 11.778051, 12.837900, 12.868111, 12.999321], [7.130925, 7.214472, 7.619619, 7.896699, 8.073751, 9.254026, 9.301788, 9.511387, 10.575000, 53.232778], [11.840990, 13.388557, 13.911835, 14.238509, 14.502848, 14.820122, 15.881979, 17.535646, 17.816151, 138.336266], [6.060254, 6.543195, 6.654413, 7.166592, 7.342124, 7.384514, 7.613802, 7.754403, 7.896491, 8.225742], [8.699029, 9.232029, 9.739722, 9.988113, 10.365967, 11.381780, 11.871323, 12.010773, 14.701254, 44.878818]]
### 4
fourier: [[6.448115, 6.492811, 6.503687, 7.132444, 7.237410, 7.441998, 8.036601, 8.287855, 8.728971, 66.563942], [6.209899, 6.323923, 6.400167, 6.609681, 6.721811, 6.728372, 7.976558, 9.180801, 9.388184, 23.559288], [4.822386, 5.042188, 5.527095, 5.547613, 5.741163, 6.389215, 6.980239, 8.373449, 9.005855, 33.179778], [2.258041, 2.278789, 2.589754, 2.663026, 2.764600, 2.963331, 3.056108, 3.257640, 3.298454, 75.111596], [9.611682, 9.802835, 10.181498, 11.269591, 12.162698, 12.569783, 12.686487, 13.934271, 16.910930, 71.628010]]
### 6
fourier: [[7.187207, 7.438733, 8.008500, 8.024725, 8.491904, 8.510454, 9.399282, 10.478738, 11.776264, 13.352728], [7.086586, 7.296245, 7.729377, 7.771377, 7.827844, 8.314506, 10.145190, 10.424177, 12.981347, 64.367277], [2.762124, 2.892074, 2.898825, 2.908717, 3.043756, 3.200438, 3.858721, 4.083148, 5.045242, 42.629891], [7.022805, 7.069417, 7.297280, 8.562955, 8.721283, 9.161689, 9.597569, 12.377295, 12.708416, 39.137932], [5.523201, 5.581996, 5.849923, 6.584584, 6.785463, 7.344758, 7.575549, 9.711998, 9.809583, 26.009275]]
### 8
fourier: [[1.560667, 1.620192, 1.638820, 1.675253, 1.730044, 1.801170, 2.076719, 2.397604, 2.636612, 19.673094], [8.923482, 9.060764, 10.032937, 10.236866, 10.397962, 10.923433, 12.733136, 14.935997, 16.870082, 32.401974], [7.702687, 7.791598, 8.507072, 8.897780, 9.146940, 9.469162, 10.948670, 12.981809, 14.483155, 21.604632], [3.508909, 3.550628, 3.839581, 3.869299, 3.879317, 4.195264, 4.550922, 5.880473, 6.392020, 23.105281], [7.397895, 7.516884, 8.012205, 8.795900, 9.252714, 9.333446, 9.935874, 10.931112, 12.565526, 13.992405]]
### 10
fourier: [[4.623056, 4.667404, 4.734442, 4.975163, 5.123948, 5.468906, 6.270518, 7.255088, 8.589498, 17.809375], [9.183475, 9.189200, 9.422243, 9.494312, 10.181707, 10.539552, 11.739338, 13.904275, 16.672842, 17.587174], [4.170846, 4.234327, 4.280988, 4.317699, 4.346997, 4.623112, 4.881993, 5.354974, 6.410661, 7.659167], [3.973511, 4.040755, 4.067758, 4.210257, 4.387807, 4.669780, 5.357771, 6.097106, 7.366908, 29.590423], [2.658000, 2.689880, 2.714706, 2.770530, 2.904621, 2.972449, 3.221215, 3.866471, 4.706064, 25.621744]]
### 12
fourier: [[5.872416, 5.891287, 6.071626, 6.264622, 6.517425, 6.559362, 6.681186, 8.496006, 10.047827, 10.358464]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
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0.545055,
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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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0.573776,
0.34763
],
[
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0.128059
],
[
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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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0.020143,
0.597817
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[
0.011327,
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[
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0.400069,
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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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],
"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: [[17.153326, 17.839739, 18.229688, 18.336827, 19.094146, 22.545786, 23.822496, 26.253673, 32.328041, 104.767062], [14.102497, 14.104697, 14.785738, 16.164176, 16.703146, 16.870209, 17.603780, 19.388945, 19.769345, 168.438351], [17.144653, 17.740574, 17.764740, 17.928220, 18.373549, 18.866448, 19.107312, 20.381000, 22.624550, 58.880454], [13.609957, 14.252659, 14.967571, 15.388434, 15.603343, 16.005296, 17.029592, 21.466453, 23.546729, 42.745107], [12.399890, 12.804230, 13.886771, 14.357477, 14.399032, 15.124573, 16.010328, 16.420712, 17.047101, 19.960803]]
### 2
fourier: [[8.583716, 8.769224, 9.102153, 9.291724, 10.167336, 11.075836, 11.778051, 12.837900, 12.868111, 12.999321], [7.130925, 7.214472, 7.619619, 7.896699, 8.073751, 9.254026, 9.301788, 9.511387, 10.575000, 53.232778], [11.840990, 13.388557, 13.911835, 14.238509, 14.502848, 14.820122, 15.881979, 17.535646, 17.816151, 138.336266], [6.060254, 6.543195, 6.654413, 7.166592, 7.342124, 7.384514, 7.613802, 7.754403, 7.896491, 8.225742], [8.699029, 9.232029, 9.739722, 9.988113, 10.365967, 11.381780, 11.871323, 12.010773, 14.701254, 44.878818]]
### 4
fourier: [[6.448115, 6.492811, 6.503687, 7.132444, 7.237410, 7.441998, 8.036601, 8.287855, 8.728971, 66.563942], [6.209899, 6.323923, 6.400167, 6.609681, 6.721811, 6.728372, 7.976558, 9.180801, 9.388184, 23.559288], [4.822386, 5.042188, 5.527095, 5.547613, 5.741163, 6.389215, 6.980239, 8.373449, 9.005855, 33.179778], [2.258041, 2.278789, 2.589754, 2.663026, 2.764600, 2.963331, 3.056108, 3.257640, 3.298454, 75.111596], [9.611682, 9.802835, 10.181498, 11.269591, 12.162698, 12.569783, 12.686487, 13.934271, 16.910930, 71.628010]]
### 6
fourier: [[7.187207, 7.438733, 8.008500, 8.024725, 8.491904, 8.510454, 9.399282, 10.478738, 11.776264, 13.352728], [7.086586, 7.296245, 7.729377, 7.771377, 7.827844, 8.314506, 10.145190, 10.424177, 12.981347, 64.367277], [2.762124, 2.892074, 2.898825, 2.908717, 3.043756, 3.200438, 3.858721, 4.083148, 5.045242, 42.629891], [7.022805, 7.069417, 7.297280, 8.562955, 8.721283, 9.161689, 9.597569, 12.377295, 12.708416, 39.137932], [5.523201, 5.581996, 5.849923, 6.584584, 6.785463, 7.344758, 7.575549, 9.711998, 9.809583, 26.009275]]
### 8
fourier: [[1.560667, 1.620192, 1.638820, 1.675253, 1.730044, 1.801170, 2.076719, 2.397604, 2.636612, 19.673094], [8.923482, 9.060764, 10.032937, 10.236866, 10.397962, 10.923433, 12.733136, 14.935997, 16.870082, 32.401974], [7.702687, 7.791598, 8.507072, 8.897780, 9.146940, 9.469162, 10.948670, 12.981809, 14.483155, 21.604632], [3.508909, 3.550628, 3.839581, 3.869299, 3.879317, 4.195264, 4.550922, 5.880473, 6.392020, 23.105281], [7.397895, 7.516884, 8.012205, 8.795900, 9.252714, 9.333446, 9.935874, 10.931112, 12.565526, 13.992405]]
### 10
fourier: [[4.623056, 4.667404, 4.734442, 4.975163, 5.123948, 5.468906, 6.270518, 7.255088, 8.589498, 17.809375], [9.183475, 9.189200, 9.422243, 9.494312, 10.181707, 10.539552, 11.739338, 13.904275, 16.672842, 17.587174], [4.170846, 4.234327, 4.280988, 4.317699, 4.346997, 4.623112, 4.881993, 5.354974, 6.410661, 7.659167], [3.973511, 4.040755, 4.067758, 4.210257, 4.387807, 4.669780, 5.357771, 6.097106, 7.366908, 29.590423], [2.658000, 2.689880, 2.714706, 2.770530, 2.904621, 2.972449, 3.221215, 3.866471, 4.706064, 25.621744]]
### 12
fourier: [[5.872416, 5.891287, 6.071626, 6.264622, 6.517425, 6.559362, 6.681186, 8.496006, 10.047827, 10.358464]]
## 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": [17.153326293635054, 17.83973869024582, 18.22968785292015, 18.336827281107496, 19.094146038528496, 22.54578597025896, 23.82249607626314, 26.253673300953817, 32.3280414190706, 104.76706211268902]}, "1": {"fourier": [14.102496601877007, 14.104697433185901, 14.78573818527291, 16.16417617526346, 16.703145874021036, 16.870209002780452, 17.603780249069846, 19.38894486203039, 19.769345436430346, 168.43835128843784]}, "2": {"fourier": [17.1446531736547, 17.740573811004793, 17.764739608872013, 17.928219706908582, 18.37354856450175, 18.866448174053396, 19.107312140196104, 20.38099953032959, 22.62454973922958, 58.88045382872224]}, "3": {"fourier": [13.609956679437586, 14.252659300117088, 14.967571251425447, 15.388433584116163, 15.603342842225398, 16.005296236631686, 17.02959219875197, 21.466452657255925, 23.546729498331516, 42.74510696530342]}, "4": {"fourier": [12.399890324639507, 12.804229950507127, 13.88677090641253, 14.357477290156943, 14.399032465997301, 15.1245727377346, 16.010327860854108, 16.42071165828206, 17.04710086648503, 19.960802674293518]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [8.583716167120746, 8.769224433001076, 9.102152816381368, 9.29172383943754, 10.167335818947688, 11.075835603680938, 11.778051485848035, 12.837900300938704, 12.868111171373448, 12.999321317291122]}, "1": {"fourier": [7.1309253034851, 7.214471648133666, 7.6196185944753765, 7.896699231490701, 8.07375079271864, 9.25402648691469, 9.301788055334729, 9.511387140576819, 10.575000024732915, 53.232778146862984]}, "2": {"fourier": [11.840989863259631, 13.388556871970753, 13.911834605836658, 14.2385092360469, 14.502848485239511, 14.820121738379356, 15.881978803361374, 17.535645515251865, 17.816150702569004, 138.33626574277878]}, "3": {"fourier": [6.060254022479057, 6.543195233753899, 6.654412865858728, 7.166591597933091, 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12.981346796882677, 64.36727714538574]}, "2": {"fourier": [2.7621242466687312, 2.8920740829291254, 2.8988251517738353, 2.9087170112566487, 3.043756241573285, 3.2004376395631384, 3.8587209183197024, 4.0831481627647825, 5.045241755466839, 42.62989103794098]}, "3": {"fourier": [7.022804636333335, 7.0694167165649535, 7.2972803003890645, 8.562954703784033, 8.721283049775844, 9.161689415928683, 9.597569427771749, 12.377294684053885, 12.708416014547357, 39.13793160021305]}, "4": {"fourier": [5.523201015136248, 5.581995700297552, 5.849923005220604, 6.58458378436291, 6.785463235664559, 7.344758181672651, 7.575548624877835, 9.711998413323593, 9.8095834501064, 26.009275071322918]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [1.5606669802948279, 1.6201919237870388, 1.6388196240954245, 1.6752532458149438, 1.7300436706396727, 1.8011704782185887, 2.076718935939342, 2.397603797562125, 2.6366123491879283, 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{"fourier": [4.623055823076188, 4.667404326031437, 4.73444153237981, 4.975162524140607, 5.123948434820933, 5.468905662876656, 6.270517710418405, 7.255087904750709, 8.589498162343197, 17.809375189244747]}, "1": {"fourier": [9.1834745316633, 9.189200396447537, 9.422242761620659, 9.494312359534002, 10.181707467556354, 10.539552008100085, 11.739338409599558, 13.904275191924153, 16.67284227230901, 17.5871739462018]}, "2": {"fourier": [4.170846447434868, 4.234327070978891, 4.280988463463428, 4.317698540129089, 4.346997381282618, 4.62311183727107, 4.881992871066982, 5.354974133497384, 6.410661107516383, 7.659167460130205]}, "3": {"fourier": [3.9735109554101733, 4.04075453229328, 4.0677581274566785, 4.210256950629361, 4.387806581345182, 4.669780099881068, 5.3577709262753155, 6.097105579114908, 7.366908215264493, 29.590423107147217]}, "4": {"fourier": [2.657999763316502, 2.6898799291249524, 2.714705656279687, 2.7705302958081526, 2.9046213206133156, 2.9724493956354556, 3.221214768798276, 3.8664712816752576, 4.706063520563419, 25.621744215488434]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "12": {"neuron_profiles": {"0": {"fourier": [5.8724159567018095, 5.891286832343725, 6.071626294459999, 6.264621836031397, 6.517424966450243, 6.559361936492823, 6.681186183128383, 8.496005889008616, 10.047827303409576, 10.358463796843578]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.107095, 0.221258, 0.545055, -0.333679, -0.022543], [0.023307, -0.14542, -0.268274, -0.275037, -0.247535], [-0.182148, 0.402024, 0.047598, 0.252724, -0.381261], [-0.427991, 0.226629, 0.252253, -0.030746, -0.340337], [-0.070956, -0.210627, 0.016628, 0.409227, -0.349577]], "network.0.bias": [0.232424, -0.180064, -0.022836, 0.553341, 0.212742], "network.2.weight": [[-0.219149, 0.592988, 0.354855, -0.173258, 0.536647], [0.164878, 0.306497, -0.081614, 0.515274, -0.346144], [0.481226, 0.453023, 0.193989, 0.573776, 0.34763], [-0.117295, -0.462507, -0.418151, -0.08036, 0.128059], [0.34317, -0.070832, 0.011197, -0.504206, -0.402538]], "network.2.bias": [-0.010995, 0.292794, 0.345713, 0.357619, 0.546356], "network.4.weight": [[-0.41755, -0.266799, 0.147461, -0.04409, 0.617671], [-0.509745, -0.315721, 0.034511, 0.224388, 0.53022], [-0.19928, -0.05361, -0.153362, 0.429683, 0.488557], [-0.067796, -0.105006, -0.182876, -0.455854, -0.097603], [0.153776, 0.322499, 0.582599, -0.249348, -0.451109]], "network.4.bias": [0.450178, 0.208233, 0.403119, -0.437078, -0.007911], "network.6.weight": [[-0.141611, -0.401142, -0.457769, -0.599401, 0.468643], [-0.050374, -0.483396, -0.031582, 0.020143, 0.597817], [0.011327, -0.385783, 0.175975, 0.27241, 0.243008], [0.544617, 0.400069, -0.097523, -0.489698, -0.498381], [0.441583, -0.06406, 0.659492, -0.390594, -0.21273]], "network.6.bias": [-0.010793, 0.444791, -0.571423, 0.312638, -0.07473], "network.8.weight": [[0.384519, -0.380648, 0.447402, 0.343283, -0.22383], [0.551003, 0.542954, -0.163997, -0.158848, -0.593172], [0.537218, 0.377164, -0.212746, -0.203017, -0.518038], [-0.512059, 0.028378, -0.609, -0.125068, 0.422692], [0.116353, 0.515615, -0.374316, -0.576727, -0.252187]], "network.8.bias": [0.355873, 0.12166, 0.097133, 0.196368, 0.023664], "network.10.weight": [[-0.446217, 0.54659, -0.050808, -0.441709, -0.102097], [-0.189236, 0.596717, 0.601872, -0.030377, 0.145104], [0.262027, 0.039795, 0.262439, -0.193681, 0.422684], [0.302959, -0.324174, 0.215739, 0.193287, -0.427151], [0.164318, -0.105351, 0.35412, 0.17204, 0.349626]], "network.10.bias": [0.160282, -0.206921, -0.163087, -0.252247, 0.10156], "network.12.weight": [[0.337026, 0.413773, 0.455712, -0.075681, 0.099811]], "network.12.bias": [-0.332338]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892429888248444, "train_acc": 0.55, "val_loss": 0.6841694712638855, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6849347352981567, "train_acc": 0.545, "val_loss": 0.6762545704841614, "val_acc": 0.68}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6702992022037506, "train_acc": 0.635, "val_loss": 0.6570178270339966, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6770027577877045, "train_acc": 0.705, "val_loss": 0.6386656761169434, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.592923641204834, "train_acc": 0.805, "val_loss": 0.6402838230133057, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.5687678754329681, "train_acc": 0.8, "val_loss": 0.5558075904846191, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.5601904690265656, "train_acc": 0.825, "val_loss": 0.538905918598175, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5336675643920898, "train_acc": 0.84, "val_loss": 0.523572564125061, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.5179232358932495, "train_acc": 0.835, "val_loss": 0.5287106037139893, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.5025737285614014, "train_acc": 0.835, "val_loss": 0.526598334312439, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.4953944534063339, "train_acc": 0.825, "val_loss": 0.4914351999759674, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.4807703495025635, "train_acc": 0.84, "val_loss": 0.46519261598587036, "val_acc": 0.84}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.4570261687040329, "train_acc": 0.84, "val_loss": 0.4403761327266693, "val_acc": 0.84}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.4492052048444748, "train_acc": 0.845, "val_loss": 0.4185127913951874, "val_acc": 0.84}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["first_last_match"], "degraded_stage": {"initial_val_loss": 0.6841694712638855, "final_val_loss": 0.6386656761169434, "initial_val_acc": 0.56, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6402838230133057, "final_val_loss": 0.4185127913951874, "initial_val_acc": 0.72, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.18000000000000005, "first_improvement_epoch": 3}}
|
376
|
{"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 1.0, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7829, "learning_rate": 0.039000088800495485, "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:
{
"network.0.weight": [
[
0.367945,
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0.386581,
0.203998,
-0.707809
],
[
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0.10044,
0.453038,
0.676219
],
[
-0.353153,
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0.0319,
0.099234
],
[
0.997846,
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0.044725,
0.24763,
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],
[
-0.413922,
0.356496,
0.2478,
-0.043544,
1.024338
],
[
-0.018265,
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0.195329,
0.266978,
0.333423
]
],
"network.0.bias": [
-0.05388,
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-0.334466,
0.293705,
0.188831,
0.218299
],
"network.2.weight": [
[
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],
[
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0.516576,
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0.114102
],
[
0.139324,
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],
[
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0.451277,
0.191385,
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0.54287,
0.017924
],
[
-0.100151,
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0.413918,
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0.573161,
0.348744
],
[
-0.161245,
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0.310616,
-0.587122,
0.646906,
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]
],
"network.2.bias": [
0.603935,
0.096335,
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0.057591,
0.738875
],
"network.4.weight": [
[
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],
[
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0.041721,
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],
[
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],
[
0.646619,
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0.077498,
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0.833759
],
[
0.162126,
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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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],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.219975, 18.859855, 20.190154, 22.668891, 23.249912, 23.782934, 24.155847, 24.158211, 25.460394, 33.351405], [25.029804, 26.795359, 27.056102, 27.575942, 28.141623, 29.138948, 30.690798, 31.025904, 32.718750, 126.094170], [12.650905, 15.385436, 15.465110, 17.400532, 17.943105, 18.248186, 18.820070, 22.060332, 22.564405, 26.288717], [35.748978, 36.011574, 36.126191, 38.732501, 39.156632, 45.147208, 48.633627, 48.909319, 49.759664, 184.666918], [24.448264, 26.427857, 27.110913, 28.365743, 30.463729, 32.747930, 35.644878, 37.357969, 44.219826, 180.984947], [13.464204, 13.943933, 14.865233, 16.504250, 17.553801, 18.910873, 19.472038, 19.561994, 20.109460, 168.168988]]
### 2
fourier: [[9.624159, 10.425739, 11.436118, 11.472584, 11.571139, 12.054205, 14.349417, 14.577354, 14.863974, 46.997041], [24.057634, 24.686452, 24.777893, 26.067243, 26.550564, 27.409986, 28.217579, 36.728077, 42.188805, 119.104289], [36.391895, 36.546709, 38.012443, 38.945929, 40.118454, 42.648219, 42.913322, 43.329678, 43.614590, 107.166186], [34.821931, 35.032917, 35.349144, 35.921225, 37.396136, 37.614826, 38.016542, 39.096211, 44.702333, 103.633000], [35.799257, 35.831289, 37.156421, 38.148737, 38.694591, 38.939057, 41.119219, 41.486748, 43.863086, 58.429125], [40.946700, 41.344254, 41.949045, 42.060589, 45.854633, 46.117481, 46.507008, 46.743725, 50.710947, 149.952697]]
### 4
fourier: [[44.089002, 46.979962, 49.814534, 58.071611, 61.654614, 65.894968, 69.679424, 72.175810, 83.045762, 347.981950], [6.070218, 6.184688, 6.222497, 6.457875, 8.096465, 8.728721, 10.665125, 10.757598, 11.079128, 80.168154], [12.874176, 13.357385, 14.016402, 14.338617, 14.471790, 16.964840, 19.479142, 21.316134, 22.083797, 156.977668], [51.422622, 54.574771, 57.660879, 64.848824, 68.045566, 71.536820, 72.028974, 73.171715, 86.408507, 329.784651], [12.553068, 12.656849, 14.262992, 16.924754, 17.875928, 18.031677, 18.323384, 20.427516, 21.151747, 118.726612], [8.449550, 8.938617, 9.278805, 9.903074, 10.523412, 11.018672, 13.776788, 13.961999, 15.317761, 75.822716]]
### 6
fourier: [[38.137824, 39.996515, 40.829651, 49.023773, 52.094158, 55.407930, 57.302263, 57.387137, 67.783559, 280.409317], [83.015377, 88.690617, 88.808353, 107.406975, 114.157983, 121.543943, 126.503211, 127.182726, 149.595709, 609.317065], [5.685329, 5.820082, 6.004542, 6.129729, 6.515705, 6.699773, 7.451949, 8.618345, 9.071107, 38.519838], [35.525914, 36.450335, 38.060304, 45.322284, 48.143662, 51.149514, 52.195794, 52.668080, 62.131859, 195.454002], [21.118499, 21.455879, 22.640795, 26.666353, 28.307111, 30.033604, 30.112648, 30.672421, 36.129697, 163.975166], [18.075845, 18.796573, 19.386079, 22.612646, 23.984459, 25.099083, 25.419681, 25.760651, 30.309393, 149.500609]]
### 8
fourier: [[69.075905, 73.588167, 74.048492, 89.753600, 94.779202, 101.142650, 105.246420, 106.788861, 125.427540, 462.056827]]
## 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": [
[
0.367945,
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0.386581,
0.203998,
-0.707809
],
[
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0.10044,
0.453038,
0.676219
],
[
-0.353153,
0.496808,
-0.294052,
0.0319,
0.099234
],
[
0.997846,
0.501515,
0.044725,
0.24763,
-0.828601
],
[
-0.413922,
0.356496,
0.2478,
-0.043544,
1.024338
],
[
-0.018265,
0.154324,
0.195329,
0.266978,
0.333423
]
],
"network.0.bias": [
-0.05388,
0.199781,
-0.334466,
0.293705,
0.188831,
0.218299
],
"network.2.weight": [
[
-0.167221,
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0.039741,
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],
[
0.572497,
0.042698,
0.494795,
0.516576,
-0.39301,
0.114102
],
[
0.139324,
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-0.75032,
0.564467,
-0.452465,
-0.090766
],
[
-0.477037,
0.451277,
0.191385,
-0.410885,
0.54287,
0.017924
],
[
-0.100151,
0.178887,
0.413918,
-0.684475,
0.573161,
0.348744
],
[
-0.161245,
0.635621,
0.310616,
-0.587122,
0.646906,
-0.033766
]
],
"network.2.bias": [
0.603935,
0.096335,
-0.326799,
0.505227,
0.057591,
0.738875
],
"network.4.weight": [
[
0.734392,
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0.699808,
0.9553,
0.376303,
0.696716
],
[
0.307306,
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0.041721,
-0.031006,
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],
[
-0.344738,
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0.083245,
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-0.235421
],
[
0.646619,
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0.077498,
0.643958,
0.472037,
0.833759
],
[
0.162126,
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0.103054,
0.142385,
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-0.36797
],
[
-0.044775,
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0.044123,
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-0.066305
]
],
"network.4.bias": [
0.139271,
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0.678062,
-0.017222,
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],
"network.6.weight": [
[
-0.309822,
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],
[
0.938227,
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0.219366,
0.843911,
0.108106,
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],
[
0.279707,
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0.114276,
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],
[
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0.207699
],
[
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0.029855,
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[
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]
],
"network.6.bias": [
-0.041642,
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0.216706,
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],
"network.8.weight": [
[
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0.541089,
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-0.07987
]
],
"network.8.bias": [
0.418432
]
}
## Activation Signature
### 0
fourier: [[18.219975, 18.859855, 20.190154, 22.668891, 23.249912, 23.782934, 24.155847, 24.158211, 25.460394, 33.351405], [25.029804, 26.795359, 27.056102, 27.575942, 28.141623, 29.138948, 30.690798, 31.025904, 32.718750, 126.094170], [12.650905, 15.385436, 15.465110, 17.400532, 17.943105, 18.248186, 18.820070, 22.060332, 22.564405, 26.288717], [35.748978, 36.011574, 36.126191, 38.732501, 39.156632, 45.147208, 48.633627, 48.909319, 49.759664, 184.666918], [24.448264, 26.427857, 27.110913, 28.365743, 30.463729, 32.747930, 35.644878, 37.357969, 44.219826, 180.984947], [13.464204, 13.943933, 14.865233, 16.504250, 17.553801, 18.910873, 19.472038, 19.561994, 20.109460, 168.168988]]
### 2
fourier: [[9.624159, 10.425739, 11.436118, 11.472584, 11.571139, 12.054205, 14.349417, 14.577354, 14.863974, 46.997041], [24.057634, 24.686452, 24.777893, 26.067243, 26.550564, 27.409986, 28.217579, 36.728077, 42.188805, 119.104289], [36.391895, 36.546709, 38.012443, 38.945929, 40.118454, 42.648219, 42.913322, 43.329678, 43.614590, 107.166186], [34.821931, 35.032917, 35.349144, 35.921225, 37.396136, 37.614826, 38.016542, 39.096211, 44.702333, 103.633000], [35.799257, 35.831289, 37.156421, 38.148737, 38.694591, 38.939057, 41.119219, 41.486748, 43.863086, 58.429125], [40.946700, 41.344254, 41.949045, 42.060589, 45.854633, 46.117481, 46.507008, 46.743725, 50.710947, 149.952697]]
### 4
fourier: [[44.089002, 46.979962, 49.814534, 58.071611, 61.654614, 65.894968, 69.679424, 72.175810, 83.045762, 347.981950], [6.070218, 6.184688, 6.222497, 6.457875, 8.096465, 8.728721, 10.665125, 10.757598, 11.079128, 80.168154], [12.874176, 13.357385, 14.016402, 14.338617, 14.471790, 16.964840, 19.479142, 21.316134, 22.083797, 156.977668], [51.422622, 54.574771, 57.660879, 64.848824, 68.045566, 71.536820, 72.028974, 73.171715, 86.408507, 329.784651], [12.553068, 12.656849, 14.262992, 16.924754, 17.875928, 18.031677, 18.323384, 20.427516, 21.151747, 118.726612], [8.449550, 8.938617, 9.278805, 9.903074, 10.523412, 11.018672, 13.776788, 13.961999, 15.317761, 75.822716]]
### 6
fourier: [[38.137824, 39.996515, 40.829651, 49.023773, 52.094158, 55.407930, 57.302263, 57.387137, 67.783559, 280.409317], [83.015377, 88.690617, 88.808353, 107.406975, 114.157983, 121.543943, 126.503211, 127.182726, 149.595709, 609.317065], [5.685329, 5.820082, 6.004542, 6.129729, 6.515705, 6.699773, 7.451949, 8.618345, 9.071107, 38.519838], [35.525914, 36.450335, 38.060304, 45.322284, 48.143662, 51.149514, 52.195794, 52.668080, 62.131859, 195.454002], [21.118499, 21.455879, 22.640795, 26.666353, 28.307111, 30.033604, 30.112648, 30.672421, 36.129697, 163.975166], [18.075845, 18.796573, 19.386079, 22.612646, 23.984459, 25.099083, 25.419681, 25.760651, 30.309393, 149.500609]]
### 8
fourier: [[69.075905, 73.588167, 74.048492, 89.753600, 94.779202, 101.142650, 105.246420, 106.788861, 125.427540, 462.056827]]
## 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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8.938616521359245, 9.278805402947853, 9.903073603988487, 10.52341191346348, 11.018672229157616, 13.776788376596798, 13.961999028125934, 15.317760960362266, 75.82271552085876]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [38.137823590864805, 39.9965153029246, 40.8296507329277, 49.023772720465715, 52.09415810660892, 55.407930269123646, 57.302263099790984, 57.38713652189298, 67.78355854082581, 280.4093172252178]}, "1": {"fourier": [83.01537688841957, 88.69061711098492, 88.80835322808639, 107.40697504538215, 114.1579825614766, 121.54394302034913, 126.50321084171132, 127.18272611311733, 149.5957085150095, 609.3170654326677]}, "2": {"fourier": [5.685328980086855, 5.820082387143486, 6.004542282226054, 6.129729395494673, 6.515704826843802, 6.699772650850117, 7.451948573534421, 8.618345208552803, 9.071106790300485, 38.51983825303614]}, "3": {"fourier": [35.52591410253598, 36.45033522582707, 38.060303954178636, 45.32228411971537, 48.14366243956997, 51.14951386691201, 52.195794255761825, 52.66807995084, 62.131859437519964, 195.45400166511536]}, "4": {"fourier": [21.11849947488545, 21.455879048351278, 22.640794561841382, 26.666353058543393, 28.307110647214728, 30.033603943892032, 30.11264795869841, 30.6724209955155, 36.1296973222561, 163.97516612708569]}, "5": {"fourier": [18.075844529171974, 18.796572712825657, 19.386078668391793, 22.612646063683897, 23.984458806391157, 25.099082815804227, 25.419680946823913, 25.760650700769038, 30.309393104298216, 149.50060886144638]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [69.07590508038281, 73.58816734955238, 74.0484918407554, 89.75360047642252, 94.77920242127944, 101.14265043909542, 105.24642006545068, 106.78886089894222, 125.42753981374035, 462.05682672560215]}}, "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": "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.367945, -0.222508, 0.386581, 0.203998, -0.707809], [-0.580453, -0.050334, 0.10044, 0.453038, 0.676219], [-0.353153, 0.496808, -0.294052, 0.0319, 0.099234], [0.997846, 0.501515, 0.044725, 0.24763, -0.828601], [-0.413922, 0.356496, 0.2478, -0.043544, 1.024338], [-0.018265, 0.154324, 0.195329, 0.266978, 0.333423]], "network.0.bias": [-0.05388, 0.199781, -0.334466, 0.293705, 0.188831, 0.218299], "network.2.weight": [[-0.167221, -0.08609, 0.039741, -0.261186, -0.010269, -0.132452], [0.572497, 0.042698, 0.494795, 0.516576, -0.39301, 0.114102], [0.139324, -0.583237, -0.75032, 0.564467, -0.452465, -0.090766], [-0.477037, 0.451277, 0.191385, -0.410885, 0.54287, 0.017924], [-0.100151, 0.178887, 0.413918, -0.684475, 0.573161, 0.348744], [-0.161245, 0.635621, 0.310616, -0.587122, 0.646906, -0.033766]], "network.2.bias": [0.603935, 0.096335, -0.326799, 0.505227, 0.057591, 0.738875], "network.4.weight": [[0.734392, -0.148564, 0.699808, 0.9553, 0.376303, 0.696716], [0.307306, -0.055385, -0.294363, 0.041721, -0.031006, -0.233689], [-0.344738, -0.36956, -0.391033, 0.083245, -0.354717, -0.235421], [0.646619, -0.361901, 0.077498, 0.643958, 0.472037, 0.833759], [0.162126, -0.222531, 0.103054, 0.142385, -0.356774, -0.36797], [-0.044775, -0.072201, -0.460041, 0.044123, -0.259325, -0.066305]], "network.4.bias": [0.139271, -0.198635, -0.112265, 0.678062, -0.017222, -0.081982], "network.6.weight": [[-0.309822, 0.015137, -0.365212, -0.49443, -0.118721, 0.353206], [0.938227, 0.279051, 0.219366, 0.843911, 0.108106, -0.027089], [0.279707, 0.153385, 0.384584, -0.166639, 0.114276, -0.185807], [-0.158767, -0.206734, -0.374099, -0.57479, -0.15954, 0.207699], [-0.009102, -0.142751, 0.256562, 0.432613, 0.029855, -0.056364], [0.086888, 0.434404, 0.121848, -0.439695, -0.069434, -0.418541]], "network.6.bias": [-0.041642, -0.06125, -0.02269, 0.622386, 0.216706, -0.330087], "network.8.weight": [[-0.075862, -0.858693, -0.23671, 0.541089, 0.17329, -0.07987]], "network.8.bias": [0.418432]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7012262344360352, "train_acc": 0.44, "val_loss": 0.6904484629631042, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6882099509239197, "train_acc": 0.59, "val_loss": 0.676857590675354, "val_acc": 0.54}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.660480409860611, "train_acc": 0.56, "val_loss": 0.6480677127838135, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6492178738117218, "train_acc": 0.49, "val_loss": 0.5721805095672607, "val_acc": 0.54}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5709957778453827, "train_acc": 0.585, "val_loss": 0.5024086833000183, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5108564794063568, "train_acc": 0.785, "val_loss": 0.4659336805343628, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47578372061252594, "train_acc": 0.82, "val_loss": 0.4383823871612549, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4304128736257553, "train_acc": 0.86, "val_loss": 0.3612530827522278, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35836082696914673, "train_acc": 0.965, "val_loss": 0.2965668737888336, "val_acc": 0.98}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2966844439506531, "train_acc": 0.98, "val_loss": 0.24710899591445923, "val_acc": 1.0}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.24877076596021652, "train_acc": 0.985, "val_loss": 0.20480503141880035, "val_acc": 1.0}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.21528317034244537, "train_acc": 0.98, "val_loss": 0.20278339087963104, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.1825946420431137, "train_acc": 0.97, "val_loss": 0.1625177562236786, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.6904484629631042, "final_val_loss": 0.6480677127838135, "initial_val_acc": 0.62, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5721805095672607, "final_val_loss": 0.1625177562236786, "initial_val_acc": 0.54, "final_val_acc": 0.96, "best_val_acc": 1.0, "best_epoch": 9}, "improvement": 0.45999999999999996, "first_improvement_epoch": 2}}
|
377
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1805, "learning_rate": 0.045899844556583906, "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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[11.082750, 11.628636, 12.299703, 12.560198, 13.885094, 14.071572, 14.815531, 14.859666, 15.795673, 24.080347], [11.032649, 11.035760, 11.858981, 12.080525, 12.368556, 12.428648, 12.519660, 13.942133, 18.622514, 18.857461], [23.795173, 23.998352, 24.047604, 26.197837, 26.816287, 27.710278, 31.508220, 34.176517, 34.754332, 87.322404], [22.096175, 23.336426, 24.717414, 25.701862, 27.686692, 28.264141, 28.543628, 30.726125, 35.178206, 143.051063], [18.179363, 18.775546, 19.233042, 19.245096, 19.328497, 19.486959, 20.227207, 20.330020, 34.445787, 98.792899], [15.010675, 16.557887, 16.813355, 16.970993, 18.247090, 19.658538, 20.942965, 21.938179, 22.361246, 85.182528], [34.387698, 35.733747, 35.816949, 36.064943, 39.921391, 40.820501, 43.943812, 51.086047, 56.322262, 123.726806]]
### 2
fourier: [[23.737252, 24.996196, 25.291226, 25.304114, 26.024640, 28.307750, 30.465489, 32.643500, 36.253251, 168.368048], [49.612172, 51.114361, 51.971929, 52.493417, 54.041362, 54.744862, 59.296797, 66.210612, 66.401965, 368.668053], [16.292919, 16.404845, 17.032292, 17.649235, 19.234889, 19.925718, 21.238472, 21.429252, 27.989756, 65.503320], [18.817110, 19.406345, 19.762473, 20.033539, 20.370474, 20.430537, 22.998771, 26.023022, 26.887581, 94.967427], [20.327080, 22.000328, 23.434864, 23.691342, 24.338098, 25.195695, 28.166935, 29.275835, 32.983194, 108.211238], [20.520203, 21.510891, 21.825396, 21.868120, 22.529836, 25.026909, 27.653336, 29.193577, 31.618404, 155.471275], [23.144630, 23.287155, 24.149753, 25.378384, 25.735398, 28.958720, 29.167104, 29.332510, 34.594594, 125.687613]]
### 4
fourier: [[39.524245, 39.705765, 41.068587, 41.448928, 42.000674, 43.986114, 49.741819, 50.728980, 57.101865, 306.979576], [48.963480, 49.620660, 51.119223, 52.070492, 53.418657, 54.207974, 62.597704, 63.747674, 69.170244, 389.338846], [62.472715, 63.980399, 64.507451, 65.377296, 68.759780, 69.255467, 78.258705, 80.896075, 87.720990, 431.461919], [39.199274, 39.810009, 41.588056, 43.047472, 44.151581, 45.424170, 47.561899, 49.939917, 52.882304, 286.018850], [36.795241, 36.822168, 39.128990, 40.195514, 40.388326, 40.902080, 47.927189, 49.300082, 53.703450, 283.481386], [12.838724, 13.074163, 13.661012, 13.833371, 13.924209, 15.181969, 16.654440, 17.164522, 17.692542, 19.814080], [46.752530, 47.106376, 47.860537, 50.027387, 50.623291, 51.073625, 56.893729, 60.531134, 63.712819, 320.542327]]
### 6
fourier: [[120.603681, 123.628019, 126.915167, 127.487345, 133.784594, 135.554080, 149.860568, 156.742059, 170.584550, 864.175449], [77.910220, 80.417914, 81.957421, 82.618899, 86.407996, 87.267365, 96.799506, 100.930094, 110.676517, 546.150861], [55.705931, 56.130201, 59.250072, 59.400554, 60.286793, 60.614447, 69.909940, 70.327962, 79.302614, 424.979228], [61.157666, 62.240936, 64.017774, 64.490668, 66.603926, 67.272795, 76.631357, 77.458159, 86.275259, 448.218865], [123.090239, 126.913956, 127.593965, 130.157187, 134.750250, 136.750849, 153.337336, 158.070172, 174.851495, 942.648233], [40.837636, 41.968354, 43.029088, 43.464137, 44.961374, 46.545038, 51.091577, 53.962212, 58.139629, 258.819699], [62.315854, 63.120654, 65.422029, 65.644361, 68.448806, 70.119736, 77.711786, 81.128073, 88.400246, 441.253881]]
### 8
fourier: [[204.525297, 208.133403, 215.923545, 216.736825, 225.725323, 229.975773, 251.653860, 263.939982, 289.158053, 1452.853413]]
## 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: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[11.082750, 11.628636, 12.299703, 12.560198, 13.885094, 14.071572, 14.815531, 14.859666, 15.795673, 24.080347], [11.032649, 11.035760, 11.858981, 12.080525, 12.368556, 12.428648, 12.519660, 13.942133, 18.622514, 18.857461], [23.795173, 23.998352, 24.047604, 26.197837, 26.816287, 27.710278, 31.508220, 34.176517, 34.754332, 87.322404], [22.096175, 23.336426, 24.717414, 25.701862, 27.686692, 28.264141, 28.543628, 30.726125, 35.178206, 143.051063], [18.179363, 18.775546, 19.233042, 19.245096, 19.328497, 19.486959, 20.227207, 20.330020, 34.445787, 98.792899], [15.010675, 16.557887, 16.813355, 16.970993, 18.247090, 19.658538, 20.942965, 21.938179, 22.361246, 85.182528], [34.387698, 35.733747, 35.816949, 36.064943, 39.921391, 40.820501, 43.943812, 51.086047, 56.322262, 123.726806]]
### 2
fourier: [[23.737252, 24.996196, 25.291226, 25.304114, 26.024640, 28.307750, 30.465489, 32.643500, 36.253251, 168.368048], [49.612172, 51.114361, 51.971929, 52.493417, 54.041362, 54.744862, 59.296797, 66.210612, 66.401965, 368.668053], [16.292919, 16.404845, 17.032292, 17.649235, 19.234889, 19.925718, 21.238472, 21.429252, 27.989756, 65.503320], [18.817110, 19.406345, 19.762473, 20.033539, 20.370474, 20.430537, 22.998771, 26.023022, 26.887581, 94.967427], [20.327080, 22.000328, 23.434864, 23.691342, 24.338098, 25.195695, 28.166935, 29.275835, 32.983194, 108.211238], [20.520203, 21.510891, 21.825396, 21.868120, 22.529836, 25.026909, 27.653336, 29.193577, 31.618404, 155.471275], [23.144630, 23.287155, 24.149753, 25.378384, 25.735398, 28.958720, 29.167104, 29.332510, 34.594594, 125.687613]]
### 4
fourier: [[39.524245, 39.705765, 41.068587, 41.448928, 42.000674, 43.986114, 49.741819, 50.728980, 57.101865, 306.979576], [48.963480, 49.620660, 51.119223, 52.070492, 53.418657, 54.207974, 62.597704, 63.747674, 69.170244, 389.338846], [62.472715, 63.980399, 64.507451, 65.377296, 68.759780, 69.255467, 78.258705, 80.896075, 87.720990, 431.461919], [39.199274, 39.810009, 41.588056, 43.047472, 44.151581, 45.424170, 47.561899, 49.939917, 52.882304, 286.018850], [36.795241, 36.822168, 39.128990, 40.195514, 40.388326, 40.902080, 47.927189, 49.300082, 53.703450, 283.481386], [12.838724, 13.074163, 13.661012, 13.833371, 13.924209, 15.181969, 16.654440, 17.164522, 17.692542, 19.814080], [46.752530, 47.106376, 47.860537, 50.027387, 50.623291, 51.073625, 56.893729, 60.531134, 63.712819, 320.542327]]
### 6
fourier: [[120.603681, 123.628019, 126.915167, 127.487345, 133.784594, 135.554080, 149.860568, 156.742059, 170.584550, 864.175449], [77.910220, 80.417914, 81.957421, 82.618899, 86.407996, 87.267365, 96.799506, 100.930094, 110.676517, 546.150861], [55.705931, 56.130201, 59.250072, 59.400554, 60.286793, 60.614447, 69.909940, 70.327962, 79.302614, 424.979228], [61.157666, 62.240936, 64.017774, 64.490668, 66.603926, 67.272795, 76.631357, 77.458159, 86.275259, 448.218865], [123.090239, 126.913956, 127.593965, 130.157187, 134.750250, 136.750849, 153.337336, 158.070172, 174.851495, 942.648233], [40.837636, 41.968354, 43.029088, 43.464137, 44.961374, 46.545038, 51.091577, 53.962212, 58.139629, 258.819699], [62.315854, 63.120654, 65.422029, 65.644361, 68.448806, 70.119736, 77.711786, 81.128073, 88.400246, 441.253881]]
### 8
fourier: [[204.525297, 208.133403, 215.923545, 216.736825, 225.725323, 229.975773, 251.653860, 263.939982, 289.158053, 1452.853413]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6902148723602295, "train_acc": 0.5, "val_loss": 0.7053478956222534, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6555461883544922, "train_acc": 0.58, "val_loss": 0.6832937598228455, "val_acc": 0.48}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6035189628601074, "train_acc": 0.58, "val_loss": 0.5948128700256348, "val_acc": 0.48}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5228935331106186, "train_acc": 0.555, "val_loss": 0.5176798701286316, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.43247488141059875, "train_acc": 0.8, "val_loss": 0.43518292903900146, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3835880160331726, "train_acc": 0.84, "val_loss": 0.39901769161224365, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3341025710105896, "train_acc": 0.86, "val_loss": 0.38422518968582153, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3557494431734085, "train_acc": 0.86, "val_loss": 0.47712433338165283, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.35703371465206146, "train_acc": 0.855, "val_loss": 0.43447795510292053, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.32637089490890503, "train_acc": 0.865, "val_loss": 0.3346216678619385, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3030943125486374, "train_acc": 0.885, "val_loss": 0.43811851739883423, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.3051716238260269, "train_acc": 0.895, "val_loss": 0.32090896368026733, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.279384545981884, "train_acc": 0.88, "val_loss": 0.35566967725753784, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.7053478956222534, "final_val_loss": 0.5948128700256348, "initial_val_acc": 0.48, "final_val_acc": 0.48, "best_val_acc": 0.48}, "improved_stage": {"initial_val_loss": 0.5176798701286316, "final_val_loss": 0.35566967725753784, "initial_val_acc": 0.76, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 9}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
378
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8986, "learning_rate": 0.026930316490127067, "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:
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}
## Activation Signature
### 0
fourier: [[16.039468, 17.105868, 17.468975, 17.607807, 18.089481, 18.224571, 18.392458, 18.964315, 21.267692, 77.915181], [17.089900, 17.804352, 17.952904, 19.077545, 23.705566, 24.197044, 26.494590, 27.417211, 29.634960, 209.596290], [15.615237, 15.748433, 15.920759, 16.279107, 18.389531, 18.866174, 21.712493, 22.141073, 25.073642, 86.726715], [11.449286, 11.579439, 11.604192, 12.063092, 13.532033, 14.372013, 15.349707, 15.610285, 16.390020, 27.054243], [15.633356, 15.682072, 17.361441, 17.405413, 17.812586, 17.848972, 17.923819, 18.433328, 23.959582, 53.881922]]
### 2
fourier: [[7.026972, 7.397517, 7.897338, 8.131415, 8.137502, 8.769470, 9.425213, 9.971275, 10.226452, 89.879956], [13.622717, 15.459354, 16.038979, 16.468755, 16.728384, 17.388726, 17.483335, 20.229634, 21.656576, 39.494778], [24.203794, 25.117131, 25.665569, 26.377329, 27.142471, 29.648445, 32.284351, 32.338809, 35.021221, 167.312510], [16.141645, 16.191958, 16.474690, 17.475043, 20.605664, 20.987895, 23.504469, 23.845436, 25.268359, 104.941991], [4.789794, 5.141460, 6.025383, 6.163350, 6.825013, 7.117697, 7.876463, 8.791934, 9.474015, 96.514956]]
### 4
fourier: [[9.364194, 9.381291, 9.575476, 9.759678, 9.764760, 10.199340, 10.383141, 12.008234, 13.389458, 20.260088], [14.814058, 14.894083, 15.109315, 15.338625, 15.462071, 16.632355, 17.792699, 19.947986, 22.331178, 95.580980], [32.444678, 35.414687, 36.083899, 36.607480, 37.642314, 39.090325, 40.195995, 45.171185, 53.829554, 228.658284], [10.183734, 10.273842, 10.540115, 10.553961, 11.080688, 11.703796, 11.932903, 12.308905, 13.943116, 15.938955], [26.399800, 26.661611, 27.056054, 27.642964, 28.983024, 29.636007, 33.130232, 33.460066, 40.984773, 243.054709]]
### 6
fourier: [[8.247045, 8.454207, 8.605705, 8.790488, 9.111749, 10.316946, 11.571524, 12.208330, 14.456425, 111.302056], [12.721557, 12.762863, 12.817146, 12.964799, 13.855104, 14.785471, 17.262549, 17.539110, 20.991318, 145.474339], [36.031512, 37.302333, 38.461421, 38.907415, 39.020284, 41.714069, 42.410618, 47.290883, 56.481521, 223.134651], [16.294491, 17.585288, 17.969477, 18.618207, 18.700598, 19.268855, 20.651855, 23.094712, 26.688257, 100.236607], [36.130773, 37.587425, 38.753866, 38.850824, 39.322540, 41.821347, 42.094825, 47.377239, 56.558161, 202.837514]]
### 8
fourier: [[45.650318, 46.599441, 49.025138, 49.866293, 51.356655, 53.246266, 55.199896, 62.262691, 72.702196, 283.188190]]
## 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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}
## Activation Signature
### 0
fourier: [[16.039468, 17.105868, 17.468975, 17.607807, 18.089481, 18.224571, 18.392458, 18.964315, 21.267692, 77.915181], [17.089900, 17.804352, 17.952904, 19.077545, 23.705566, 24.197044, 26.494590, 27.417211, 29.634960, 209.596290], [15.615237, 15.748433, 15.920759, 16.279107, 18.389531, 18.866174, 21.712493, 22.141073, 25.073642, 86.726715], [11.449286, 11.579439, 11.604192, 12.063092, 13.532033, 14.372013, 15.349707, 15.610285, 16.390020, 27.054243], [15.633356, 15.682072, 17.361441, 17.405413, 17.812586, 17.848972, 17.923819, 18.433328, 23.959582, 53.881922]]
### 2
fourier: [[7.026972, 7.397517, 7.897338, 8.131415, 8.137502, 8.769470, 9.425213, 9.971275, 10.226452, 89.879956], [13.622717, 15.459354, 16.038979, 16.468755, 16.728384, 17.388726, 17.483335, 20.229634, 21.656576, 39.494778], [24.203794, 25.117131, 25.665569, 26.377329, 27.142471, 29.648445, 32.284351, 32.338809, 35.021221, 167.312510], [16.141645, 16.191958, 16.474690, 17.475043, 20.605664, 20.987895, 23.504469, 23.845436, 25.268359, 104.941991], [4.789794, 5.141460, 6.025383, 6.163350, 6.825013, 7.117697, 7.876463, 8.791934, 9.474015, 96.514956]]
### 4
fourier: [[9.364194, 9.381291, 9.575476, 9.759678, 9.764760, 10.199340, 10.383141, 12.008234, 13.389458, 20.260088], [14.814058, 14.894083, 15.109315, 15.338625, 15.462071, 16.632355, 17.792699, 19.947986, 22.331178, 95.580980], [32.444678, 35.414687, 36.083899, 36.607480, 37.642314, 39.090325, 40.195995, 45.171185, 53.829554, 228.658284], [10.183734, 10.273842, 10.540115, 10.553961, 11.080688, 11.703796, 11.932903, 12.308905, 13.943116, 15.938955], [26.399800, 26.661611, 27.056054, 27.642964, 28.983024, 29.636007, 33.130232, 33.460066, 40.984773, 243.054709]]
### 6
fourier: [[8.247045, 8.454207, 8.605705, 8.790488, 9.111749, 10.316946, 11.571524, 12.208330, 14.456425, 111.302056], [12.721557, 12.762863, 12.817146, 12.964799, 13.855104, 14.785471, 17.262549, 17.539110, 20.991318, 145.474339], [36.031512, 37.302333, 38.461421, 38.907415, 39.020284, 41.714069, 42.410618, 47.290883, 56.481521, 223.134651], [16.294491, 17.585288, 17.969477, 18.618207, 18.700598, 19.268855, 20.651855, 23.094712, 26.688257, 100.236607], [36.130773, 37.587425, 38.753866, 38.850824, 39.322540, 41.821347, 42.094825, 47.377239, 56.558161, 202.837514]]
### 8
fourier: [[45.650318, 46.599441, 49.025138, 49.866293, 51.356655, 53.246266, 55.199896, 62.262691, 72.702196, 283.188190]]
## 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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62.26269128187397, 72.70219572899302, 283.1881904453039]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.064891, -0.322016, 0.061197, 0.315108, 0.474667], [-0.281712, -0.312672, -0.246215, -0.022094, -0.372023], [0.549523, -0.396413, -0.135121, 0.459186, 0.033714], [-0.158673, 0.053751, 0.39775, -0.158639, -0.256595], [0.116811, 0.322729, -0.108251, -0.324045, 0.505635]], "network.0.bias": [0.144275, -0.387992, 0.258105, 0.225921, 0.162641], "network.2.weight": [[0.620653, 0.255007, -0.250648, 0.007249, -0.041243], [0.114773, -0.00762, 0.855811, -0.553857, -0.290025], [0.552194, 0.207825, 0.895992, -0.551808, 0.700925], [0.313453, -0.169122, 0.61857, -0.120922, 0.738016], [-0.096143, 0.336823, -0.234876, -0.247371, -0.306588]], "network.2.bias": [0.691516, -0.111196, 0.024575, -0.369932, -0.343663], "network.4.weight": [[0.39257, -0.356977, -0.351455, 0.11868, 0.32982], [0.508744, 0.28031, 0.225177, 0.302631, -0.179263], [-0.347567, 0.746547, 0.796142, 0.653528, -0.291348], [0.432782, -0.110076, -0.309612, -0.208523, -0.151532], [0.429839, 0.639871, 0.428098, 0.573142, 0.141262]], "network.4.bias": [0.626853, -0.453869, 0.012202, 0.497747, 0.281762], "network.6.weight": [[-0.180678, 0.15222, -0.106406, -0.495045, -0.374158], [-0.388423, 0.043087, -0.169779, -0.210007, -0.390991], [-0.171455, 0.396676, 0.64807, -0.371092, 0.256577], [0.139554, -0.050828, 0.457844, -0.56152, 0.037668], [-0.439631, 0.734483, 0.801113, -0.328072, -0.155574]], "network.6.bias": [0.129187, 0.071896, -0.10861, 0.012206, 0.127079], "network.8.weight": [[0.010381, -0.299498, -0.709977, -0.416703, -0.445997]], "network.8.bias": [0.260102]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6869798898696899, "train_acc": 0.57, "val_loss": 0.6937057375907898, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6796970963478088, "train_acc": 0.57, "val_loss": 0.6980209946632385, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6717044413089752, "train_acc": 0.57, "val_loss": 0.6997332572937012, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6650380492210388, "train_acc": 0.57, "val_loss": 0.6935656070709229, "val_acc": 0.52}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6509369313716888, "train_acc": 0.57, "val_loss": 0.6557705402374268, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6353324055671692, "train_acc": 0.495, "val_loss": 0.5898690223693848, "val_acc": 0.52}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5650043487548828, "train_acc": 0.495, "val_loss": 0.517188310623169, "val_acc": 0.52}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4772803485393524, "train_acc": 0.495, "val_loss": 0.47895681858062744, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.46153101325035095, "train_acc": 0.88, "val_loss": 0.4606795608997345, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.4118764251470566, "train_acc": 0.915, "val_loss": 0.454416424036026, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.41089096665382385, "train_acc": 0.92, "val_loss": 0.44241756200790405, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.3823045492172241, "train_acc": 0.925, "val_loss": 0.43395110964775085, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.37006430327892303, "train_acc": 0.915, "val_loss": 0.44514715671539307, "val_acc": 0.8}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.36866533756256104, "train_acc": 0.935, "val_loss": 0.4341352581977844, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.3421498239040375, "train_acc": 0.925, "val_loss": 0.4056072235107422, "val_acc": 0.84}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6937057375907898, "final_val_loss": 0.6557705402374268, "initial_val_acc": 0.52, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5898690223693848, "final_val_loss": 0.4056072235107422, "initial_val_acc": 0.52, "final_val_acc": 0.84, "best_val_acc": 0.92, "best_epoch": 11}, "improvement": 0.4, "first_improvement_epoch": 4}}
|
379
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.92, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5532, "learning_rate": 0.09999576641728435, "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: 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: [[8.819921, 8.867344, 10.588852, 11.002473, 11.161155, 11.692663, 12.899233, 14.498166, 16.176422, 69.982623], [16.065894, 17.336333, 17.341882, 18.271212, 18.960456, 20.117328, 22.885521, 24.473631, 29.431789, 139.756988], [40.870275, 45.738592, 47.292718, 50.619666, 50.956618, 51.453321, 56.359317, 56.636330, 65.524512, 132.889296], [24.758161, 25.036976, 25.840231, 26.416389, 27.177673, 29.241234, 29.560819, 30.685316, 35.831904, 46.528959], [35.554263, 36.825315, 38.081508, 39.732143, 40.747666, 41.290683, 42.051485, 49.159143, 50.322419, 252.169456], [14.571386, 14.896338, 14.935680, 15.361907, 16.117660, 16.414610, 16.503249, 18.230536, 19.171115, 67.438163], [27.411531, 29.138026, 29.179895, 29.919295, 32.919872, 34.582420, 34.855735, 35.045275, 36.026529, 114.417942], [23.763270, 24.427075, 25.277570, 32.821843, 34.118914, 35.383505, 39.109184, 42.421465, 43.820248, 189.052277]]
### 2
fourier: [[14.151276, 16.187383, 17.193577, 17.736828, 18.229576, 19.405788, 19.494841, 20.807250, 20.870651, 100.637245], [21.489019, 23.578111, 24.036462, 25.762544, 29.017554, 32.171840, 33.034178, 33.433481, 36.896776, 80.770607], [18.727971, 19.913799, 20.068086, 20.120789, 20.422531, 20.574233, 21.632550, 23.493278, 26.553578, 109.288322], [63.754748, 63.914347, 68.838695, 68.884718, 76.742992, 78.154405, 83.287795, 83.807844, 85.151278, 433.064029], [41.940075, 42.703706, 43.489926, 46.790312, 47.963530, 49.450555, 50.555196, 51.150545, 54.886220, 247.022180], [30.784674, 31.924608, 32.185866, 32.905826, 33.410263, 34.034880, 34.123899, 35.711902, 36.008045, 122.329752], [26.441242, 27.390108, 28.693745, 29.634387, 31.284109, 32.782615, 33.560050, 41.608533, 45.247907, 225.825890], [7.200336, 7.296999, 7.318585, 8.119005, 8.738367, 8.870067, 9.951559, 10.612188, 16.253463, 61.879276]]
### 4
fourier: [[74.455176, 79.492238, 80.306390, 83.807813, 85.272706, 89.131270, 92.488656, 93.905149, 98.730539, 457.931800], [104.080564, 111.444968, 119.690833, 122.133488, 127.309602, 127.540025, 132.648481, 136.598101, 143.462935, 671.798041], [105.980889, 107.408869, 107.536906, 112.910962, 115.436312, 117.461440, 125.178820, 129.865071, 130.166648, 531.230369], [108.585967, 112.085641, 124.938955, 125.278776, 130.223833, 132.571301, 135.682800, 142.853184, 147.698364, 660.968893], [55.529884, 58.828954, 62.836316, 65.048411, 67.001269, 68.031421, 69.375692, 72.568793, 74.849688, 326.596171], [63.184757, 64.513257, 68.482622, 70.115595, 72.459467, 73.583666, 76.376556, 81.297639, 82.354428, 343.335100], [20.213508, 22.773522, 23.651799, 24.273745, 25.291006, 25.392510, 28.023911, 28.221652, 28.243846, 163.481693], [97.372532, 102.687317, 109.727251, 113.461685, 116.291129, 117.737499, 121.700979, 126.313120, 131.856502, 594.290594]]
### 6
fourier: [[38.399554, 40.072834, 43.552940, 44.643711, 45.363410, 46.818105, 48.216954, 50.390278, 51.392169, 156.121700], [25.665262, 27.350865, 29.470336, 29.478607, 30.934707, 32.055831, 32.337447, 33.246032, 34.454774, 93.107011], [64.072389, 67.008200, 68.140294, 69.887582, 73.227967, 74.703828, 79.700716, 81.000159, 81.251274, 327.609466], [295.680151, 303.866677, 340.484923, 341.880379, 350.957308, 363.949222, 368.477684, 385.987036, 400.575667, 1738.856456], [327.878073, 329.248973, 372.673813, 377.810431, 381.560774, 401.223534, 402.770459, 423.706961, 437.693863, 1917.442822], [230.164275, 240.874583, 265.755555, 267.662826, 273.805118, 283.619240, 291.470666, 304.386271, 311.085717, 1270.086900], [295.610679, 311.732063, 343.295515, 344.048012, 358.768206, 366.638081, 374.591205, 389.081090, 405.805837, 1776.238777], [285.424581, 292.060551, 327.629402, 329.639780, 337.682021, 351.228684, 354.396371, 371.708592, 385.270540, 1675.574773]]
### 8
fourier: [[619.478804, 636.649070, 711.769308, 716.914046, 736.960053, 762.891602, 773.403870, 807.873266, 840.543882, 3603.168125]]
## 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: 4
Neurons per Layer: 8
Activation Function: gelu
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: [[8.819921, 8.867344, 10.588852, 11.002473, 11.161155, 11.692663, 12.899233, 14.498166, 16.176422, 69.982623], [16.065894, 17.336333, 17.341882, 18.271212, 18.960456, 20.117328, 22.885521, 24.473631, 29.431789, 139.756988], [40.870275, 45.738592, 47.292718, 50.619666, 50.956618, 51.453321, 56.359317, 56.636330, 65.524512, 132.889296], [24.758161, 25.036976, 25.840231, 26.416389, 27.177673, 29.241234, 29.560819, 30.685316, 35.831904, 46.528959], [35.554263, 36.825315, 38.081508, 39.732143, 40.747666, 41.290683, 42.051485, 49.159143, 50.322419, 252.169456], [14.571386, 14.896338, 14.935680, 15.361907, 16.117660, 16.414610, 16.503249, 18.230536, 19.171115, 67.438163], [27.411531, 29.138026, 29.179895, 29.919295, 32.919872, 34.582420, 34.855735, 35.045275, 36.026529, 114.417942], [23.763270, 24.427075, 25.277570, 32.821843, 34.118914, 35.383505, 39.109184, 42.421465, 43.820248, 189.052277]]
### 2
fourier: [[14.151276, 16.187383, 17.193577, 17.736828, 18.229576, 19.405788, 19.494841, 20.807250, 20.870651, 100.637245], [21.489019, 23.578111, 24.036462, 25.762544, 29.017554, 32.171840, 33.034178, 33.433481, 36.896776, 80.770607], [18.727971, 19.913799, 20.068086, 20.120789, 20.422531, 20.574233, 21.632550, 23.493278, 26.553578, 109.288322], [63.754748, 63.914347, 68.838695, 68.884718, 76.742992, 78.154405, 83.287795, 83.807844, 85.151278, 433.064029], [41.940075, 42.703706, 43.489926, 46.790312, 47.963530, 49.450555, 50.555196, 51.150545, 54.886220, 247.022180], [30.784674, 31.924608, 32.185866, 32.905826, 33.410263, 34.034880, 34.123899, 35.711902, 36.008045, 122.329752], [26.441242, 27.390108, 28.693745, 29.634387, 31.284109, 32.782615, 33.560050, 41.608533, 45.247907, 225.825890], [7.200336, 7.296999, 7.318585, 8.119005, 8.738367, 8.870067, 9.951559, 10.612188, 16.253463, 61.879276]]
### 4
fourier: [[74.455176, 79.492238, 80.306390, 83.807813, 85.272706, 89.131270, 92.488656, 93.905149, 98.730539, 457.931800], [104.080564, 111.444968, 119.690833, 122.133488, 127.309602, 127.540025, 132.648481, 136.598101, 143.462935, 671.798041], [105.980889, 107.408869, 107.536906, 112.910962, 115.436312, 117.461440, 125.178820, 129.865071, 130.166648, 531.230369], [108.585967, 112.085641, 124.938955, 125.278776, 130.223833, 132.571301, 135.682800, 142.853184, 147.698364, 660.968893], [55.529884, 58.828954, 62.836316, 65.048411, 67.001269, 68.031421, 69.375692, 72.568793, 74.849688, 326.596171], [63.184757, 64.513257, 68.482622, 70.115595, 72.459467, 73.583666, 76.376556, 81.297639, 82.354428, 343.335100], [20.213508, 22.773522, 23.651799, 24.273745, 25.291006, 25.392510, 28.023911, 28.221652, 28.243846, 163.481693], [97.372532, 102.687317, 109.727251, 113.461685, 116.291129, 117.737499, 121.700979, 126.313120, 131.856502, 594.290594]]
### 6
fourier: [[38.399554, 40.072834, 43.552940, 44.643711, 45.363410, 46.818105, 48.216954, 50.390278, 51.392169, 156.121700], [25.665262, 27.350865, 29.470336, 29.478607, 30.934707, 32.055831, 32.337447, 33.246032, 34.454774, 93.107011], [64.072389, 67.008200, 68.140294, 69.887582, 73.227967, 74.703828, 79.700716, 81.000159, 81.251274, 327.609466], [295.680151, 303.866677, 340.484923, 341.880379, 350.957308, 363.949222, 368.477684, 385.987036, 400.575667, 1738.856456], [327.878073, 329.248973, 372.673813, 377.810431, 381.560774, 401.223534, 402.770459, 423.706961, 437.693863, 1917.442822], [230.164275, 240.874583, 265.755555, 267.662826, 273.805118, 283.619240, 291.470666, 304.386271, 311.085717, 1270.086900], [295.610679, 311.732063, 343.295515, 344.048012, 358.768206, 366.638081, 374.591205, 389.081090, 405.805837, 1776.238777], [285.424581, 292.060551, 327.629402, 329.639780, 337.682021, 351.228684, 354.396371, 371.708592, 385.270540, 1675.574773]]
### 8
fourier: [[619.478804, 636.649070, 711.769308, 716.914046, 736.960053, 762.891602, 773.403870, 807.873266, 840.543882, 3603.168125]]
## 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": 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": [[-0.003248, 0.046824, 0.117598, -0.13608, -0.380058], [0.161393, -0.010502, -0.130965, -0.182115, -0.655053], [1.274118, 0.569122, 0.157251, -0.584496, -0.11478], [-0.632837, -0.561078, 0.063363, 0.382309, 0.295024], [0.194487, 0.975488, 0.65715, -0.011735, -0.470281], [0.02094, -0.021627, -0.157575, -0.509575, 0.296366], [-0.816997, -0.483668, 0.148043, 0.245458, -0.121833], [0.340032, 0.972432, -0.273685, 0.164836, 0.125602]], "network.0.bias": [-0.34396, -0.262558, -0.079588, -0.023111, 0.014764, 0.320433, -0.058607, -0.031249], "network.2.weight": [[-0.090011, -0.316393, 0.398961, 0.064446, 0.125501, -0.245039, -0.451149, -0.231553], [-0.33418, -0.332916, 0.722472, -0.179847, -0.165883, -0.012165, -0.0911, -0.17639], [-0.320922, -0.346577, 0.285415, -0.191174, 0.316667, 0.045304, -0.000167, -0.12108], [-0.835066, -0.635642, 0.720405, -0.430778, 0.864644, -0.17291, 0.059715, 0.478034], [-0.79096, -0.714625, 0.628846, 0.106598, 0.663458, -0.295141, -0.174324, -0.081908], [-0.535374, -0.821143, 0.576497, 0.177033, 0.00087, -0.638623, -0.492051, 0.284794], [0.440375, 0.570537, -0.043933, -0.81419, -0.191804, 0.197913, -0.621137, -0.807648], [-0.223492, -0.354343, -0.019424, -0.313056, -0.392005, -1.04054, -0.056506, 0.397793]], "network.2.bias": [0.483105, 0.390384, 0.039281, 0.028204, -0.292566, -0.43691, 0.220887, -0.2447], "network.4.weight": [[0.116143, 0.195958, 0.531921, 0.726781, 0.286251, 0.05274, -0.363937, -0.24321], [0.42447, 0.361042, 0.062641, 0.899382, 0.655195, 0.369754, -0.264248, -0.009704], [0.768431, 0.686816, 0.661756, 0.553163, 0.122006, 0.846905, -0.320995, 0.08501], [0.627158, 0.532134, 0.121165, 1.032607, 0.310644, 0.43747, -0.45592, -0.055036], [0.528782, 0.058828, 0.370365, 0.569391, -0.040305, 0.2635, 0.11077, -0.537794], [0.104356, 0.648564, 0.152888, 0.407821, 0.339563, 0.209348, -0.34034, -0.116208], [0.135375, 0.011412, 0.243432, -0.245999, -0.191165, -0.162205, 0.022673, 0.422002], [0.405039, 0.256902, 0.588271, 0.75836, 0.539037, 0.30003, -0.032865, -0.069649]], "network.4.bias": [-0.23609, -0.034878, -0.512724, -0.406024, -0.439571, -0.316739, -0.295751, -0.301338], "network.6.weight": [[0.301553, 0.05532, 0.051685, -0.379451, -0.255457, -0.151101, -0.440172, -0.061456], [-0.447373, 0.08427, -0.188413, 0.154585, -0.488645, 0.162988, -0.221798, 0.170188], [-0.295571, 0.06811, -0.511667, 0.181884, -0.416162, -0.240803, -0.118063, 0.21301], [0.459739, 0.547953, 0.338402, 0.517129, 0.222677, 0.471912, 0.060455, 0.771168], [0.469382, 0.217693, 0.811919, 0.72601, 0.666164, 0.166414, 0.514522, 0.643276], [-0.130072, 0.170674, -0.758145, -0.443084, -0.37863, -0.566416, -0.500251, -0.647494], [0.987472, 0.421883, 0.405609, 0.792894, 0.823837, -0.181398, 0.309569, 0.238209], [0.453146, 0.408376, 0.354155, 0.560257, 0.509982, 0.420324, 0.086669, 0.61808]], "network.6.bias": [0.674459, 0.599086, 0.055996, -0.604135, -0.109865, 0.795793, -0.507605, -0.476263], "network.8.weight": [[0.440877, 0.333036, -0.133882, -0.593979, -0.326803, 0.6734, -0.527657, -0.632506]], "network.8.bias": [0.583906]}}
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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7114687860012054, "train_acc": 0.46, "val_loss": 0.674705982208252, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676595002412796, "train_acc": 0.565, "val_loss": 0.5529661774635315, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5875215828418732, "train_acc": 0.64, "val_loss": 0.3384261429309845, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3570021688938141, "train_acc": 0.89, "val_loss": 0.27048417925834656, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.40389518439769745, "train_acc": 0.9, "val_loss": 0.3073260486125946, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.34828126430511475, "train_acc": 0.84, "val_loss": 0.30043748021125793, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.46083711087703705, "train_acc": 0.825, "val_loss": 0.3181074857711792, "val_acc": 0.84}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.674705982208252, "final_val_loss": 0.5529661774635315, "initial_val_acc": 0.58, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.3384261429309845, "final_val_loss": 0.3181074857711792, "initial_val_acc": 0.88, "final_val_acc": 0.84, "best_val_acc": 0.92, "best_epoch": 4}, "improvement": 0.36, "first_improvement_epoch": 1}}
|
380
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.44, "improved_accuracy": 0.7, "improvement": 0.25999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2955, "learning_rate": 0.09893004106996126, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[31.089628, 32.590892, 33.188118, 33.425514, 34.031800, 34.545406, 36.946366, 39.963653, 45.545988, 301.203984], [15.183330, 15.728478, 18.218132, 18.833199, 18.954316, 19.254717, 20.054091, 21.219024, 23.100373, 55.248073], [36.263291, 37.102215, 42.788957, 44.889279, 47.433973, 50.180353, 52.425680, 54.880067, 56.194667, 446.038451], [15.508873, 16.216663, 16.263556, 16.664135, 17.559790, 20.013466, 20.801586, 22.569607, 24.860110, 184.479349], [21.389301, 22.407776, 22.411824, 24.464076, 25.948592, 28.803733, 30.720659, 32.030424, 35.901891, 182.624971], [26.156395, 26.951607, 28.547466, 28.685108, 35.729861, 37.165999, 37.846817, 40.009745, 50.106394, 249.117609], [14.872993, 15.360766, 15.530436, 17.080594, 17.219248, 18.498752, 18.881473, 21.378079, 25.945439, 80.115258], [23.555571, 25.227269, 26.034253, 26.350709, 27.058232, 30.269511, 32.748132, 33.760995, 36.627489, 86.582790]]
### 2
fourier: [[20.949212, 21.918197, 22.931195, 24.384294, 25.159143, 26.327617, 30.480487, 31.012418, 34.829007, 238.658902], [23.943054, 24.150823, 24.347336, 26.699793, 28.005033, 32.287158, 32.760173, 35.236241, 39.451241, 309.740317], [17.443255, 18.447013, 18.611312, 18.968799, 24.672218, 25.564580, 25.738675, 26.534291, 33.854778, 202.258687], [23.659966, 23.936035, 24.144164, 24.721450, 26.379703, 26.957657, 31.720198, 35.818638, 38.429511, 299.715977], [40.476741, 41.311081, 44.198429, 45.294456, 48.061226, 54.879046, 58.407651, 58.470702, 68.037195, 518.372585], [18.612369, 20.044840, 20.744455, 21.316270, 21.443170, 22.192157, 22.493455, 24.207223, 24.679378, 26.913308], [19.712827, 19.761549, 19.909216, 20.445299, 21.403008, 21.901179, 24.500694, 25.392471, 25.525371, 28.776595], [31.362014, 32.265317, 32.435638, 33.916283, 34.731575, 36.937816, 45.592563, 50.369922, 51.553283, 349.655655]]
### 4
fourier: [[2.401416, 2.662161, 2.663908, 2.679261, 2.708783, 2.778649, 2.884008, 3.008819, 3.114686, 7.516895], [12.319859, 12.339886, 12.640176, 12.796481, 15.318898, 16.006499, 17.963435, 18.232525, 21.862406, 177.285500], [14.715246, 14.814633, 15.129872, 15.687857, 16.567468, 16.628308, 17.106414, 17.230068, 17.654611, 49.336015], [10.314769, 10.534252, 10.560919, 10.642513, 11.812448, 11.922657, 12.943972, 14.304190, 15.421237, 100.234166], [7.456704, 9.112238, 9.221013, 9.250549, 9.317261, 9.676956, 9.972020, 10.140009, 10.725045, 137.225555], [16.295045, 17.054320, 17.393020, 17.785084, 18.432266, 20.185332, 20.931084, 24.178928, 25.250287, 285.655491], [10.015668, 10.145787, 10.201031, 10.922758, 11.682660, 13.607272, 13.822124, 14.146400, 17.807295, 41.989700], [15.036580, 15.266174, 16.297601, 16.629561, 17.170081, 17.892374, 19.285373, 21.867641, 25.401744, 133.989145]]
### 6
fourier: [[3.397598, 3.466548, 3.485639, 3.681656, 3.780282, 3.824449, 3.930766, 4.053041, 4.306929, 52.016779], [4.549778, 4.934856, 5.022217, 5.120780, 5.204664, 5.244744, 5.533016, 5.931301, 6.002011, 6.819711], [2.703951, 2.797286, 2.854959, 2.889537, 2.923647, 2.969389, 3.335665, 3.600888, 4.109966, 6.461356], [8.024416, 8.683398, 8.732047, 8.842930, 8.949861, 9.163299, 9.819215, 9.964111, 11.086871, 21.634323], [0.874440, 0.944459, 0.947595, 1.031445, 1.100013, 1.137945, 1.158681, 1.303443, 1.491494, 51.137500], [12.142876, 12.886432, 12.978292, 13.162059, 14.365245, 14.675504, 15.016668, 15.916833, 17.327263, 43.687795], [6.136503, 6.362049, 6.368340, 6.381198, 6.722411, 7.163323, 7.491776, 7.703577, 8.636391, 56.023533], [2.443013, 2.813767, 2.860067, 2.893556, 2.940383, 3.140417, 3.186031, 4.458334, 4.735622, 22.255456]]
### 8
fourier: [[1.313589, 1.367743, 1.404371, 1.448780, 1.539841, 1.575318, 1.576316, 1.587328, 1.600751, 38.621598], [5.822527, 5.830197, 5.907121, 6.515747, 6.550553, 6.710006, 6.911497, 7.348724, 7.696952, 63.519127], [1.809067, 1.850502, 1.851133, 1.893233, 1.941627, 1.977709, 2.005786, 2.143843, 2.223747, 45.127643], [1.536260, 1.540982, 1.558044, 1.607875, 1.624669, 1.651097, 1.734126, 1.777178, 1.972909, 21.328333], [12.144412, 12.887375, 13.023138, 13.199137, 14.365233, 14.642182, 15.274159, 15.786719, 17.273561, 17.419481], [7.816918, 8.410998, 8.459190, 8.529732, 9.219193, 9.543946, 10.025009, 10.182598, 11.187836, 37.145882], [3.170226, 3.334988, 3.410483, 3.728631, 3.732676, 3.873535, 4.078467, 4.096757, 4.420788, 57.376254], [2.186296, 2.189228, 2.275982, 2.280084, 2.402260, 2.510376, 2.561416, 3.010710, 3.713555, 41.361614]]
### 10
fourier: [[0.337812, 0.338226, 0.341025, 0.341637, 0.370487, 0.377400, 0.429933, 0.438878, 0.446931, 88.025566], [6.688032, 6.692816, 6.718543, 6.753849, 6.958060, 7.397294, 7.760390, 7.800029, 9.885550, 32.186166], [0.713593, 0.723960, 0.734319, 0.785987, 0.848019, 0.881711, 0.982379, 1.161588, 1.219040, 39.802932], [4.321257, 4.460213, 4.514175, 4.837588, 5.000703, 5.184043, 5.449160, 5.527938, 6.216171, 38.432770], [3.881575, 3.939283, 3.960469, 4.322565, 4.484623, 4.551713, 4.908308, 5.131268, 5.188683, 9.629706], [4.288660, 4.323156, 4.541758, 4.565986, 4.809610, 5.065669, 5.141661, 5.515784, 5.614372, 6.268426], [3.494046, 3.565735, 3.792718, 4.063000, 4.141873, 4.178806, 4.464486, 4.496498, 5.089962, 66.488621], [3.863871, 3.904584, 3.954923, 4.277535, 4.465606, 4.484757, 4.853800, 5.057023, 5.358544, 14.111274]]
### 12
fourier: [[2.637018, 2.694556, 2.701911, 2.758605, 2.807375, 2.960626, 3.051189, 3.131358, 4.123096, 29.283877]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[31.089628, 32.590892, 33.188118, 33.425514, 34.031800, 34.545406, 36.946366, 39.963653, 45.545988, 301.203984], [15.183330, 15.728478, 18.218132, 18.833199, 18.954316, 19.254717, 20.054091, 21.219024, 23.100373, 55.248073], [36.263291, 37.102215, 42.788957, 44.889279, 47.433973, 50.180353, 52.425680, 54.880067, 56.194667, 446.038451], [15.508873, 16.216663, 16.263556, 16.664135, 17.559790, 20.013466, 20.801586, 22.569607, 24.860110, 184.479349], [21.389301, 22.407776, 22.411824, 24.464076, 25.948592, 28.803733, 30.720659, 32.030424, 35.901891, 182.624971], [26.156395, 26.951607, 28.547466, 28.685108, 35.729861, 37.165999, 37.846817, 40.009745, 50.106394, 249.117609], [14.872993, 15.360766, 15.530436, 17.080594, 17.219248, 18.498752, 18.881473, 21.378079, 25.945439, 80.115258], [23.555571, 25.227269, 26.034253, 26.350709, 27.058232, 30.269511, 32.748132, 33.760995, 36.627489, 86.582790]]
### 2
fourier: [[20.949212, 21.918197, 22.931195, 24.384294, 25.159143, 26.327617, 30.480487, 31.012418, 34.829007, 238.658902], [23.943054, 24.150823, 24.347336, 26.699793, 28.005033, 32.287158, 32.760173, 35.236241, 39.451241, 309.740317], [17.443255, 18.447013, 18.611312, 18.968799, 24.672218, 25.564580, 25.738675, 26.534291, 33.854778, 202.258687], [23.659966, 23.936035, 24.144164, 24.721450, 26.379703, 26.957657, 31.720198, 35.818638, 38.429511, 299.715977], [40.476741, 41.311081, 44.198429, 45.294456, 48.061226, 54.879046, 58.407651, 58.470702, 68.037195, 518.372585], [18.612369, 20.044840, 20.744455, 21.316270, 21.443170, 22.192157, 22.493455, 24.207223, 24.679378, 26.913308], [19.712827, 19.761549, 19.909216, 20.445299, 21.403008, 21.901179, 24.500694, 25.392471, 25.525371, 28.776595], [31.362014, 32.265317, 32.435638, 33.916283, 34.731575, 36.937816, 45.592563, 50.369922, 51.553283, 349.655655]]
### 4
fourier: [[2.401416, 2.662161, 2.663908, 2.679261, 2.708783, 2.778649, 2.884008, 3.008819, 3.114686, 7.516895], [12.319859, 12.339886, 12.640176, 12.796481, 15.318898, 16.006499, 17.963435, 18.232525, 21.862406, 177.285500], [14.715246, 14.814633, 15.129872, 15.687857, 16.567468, 16.628308, 17.106414, 17.230068, 17.654611, 49.336015], [10.314769, 10.534252, 10.560919, 10.642513, 11.812448, 11.922657, 12.943972, 14.304190, 15.421237, 100.234166], [7.456704, 9.112238, 9.221013, 9.250549, 9.317261, 9.676956, 9.972020, 10.140009, 10.725045, 137.225555], [16.295045, 17.054320, 17.393020, 17.785084, 18.432266, 20.185332, 20.931084, 24.178928, 25.250287, 285.655491], [10.015668, 10.145787, 10.201031, 10.922758, 11.682660, 13.607272, 13.822124, 14.146400, 17.807295, 41.989700], [15.036580, 15.266174, 16.297601, 16.629561, 17.170081, 17.892374, 19.285373, 21.867641, 25.401744, 133.989145]]
### 6
fourier: [[3.397598, 3.466548, 3.485639, 3.681656, 3.780282, 3.824449, 3.930766, 4.053041, 4.306929, 52.016779], [4.549778, 4.934856, 5.022217, 5.120780, 5.204664, 5.244744, 5.533016, 5.931301, 6.002011, 6.819711], [2.703951, 2.797286, 2.854959, 2.889537, 2.923647, 2.969389, 3.335665, 3.600888, 4.109966, 6.461356], [8.024416, 8.683398, 8.732047, 8.842930, 8.949861, 9.163299, 9.819215, 9.964111, 11.086871, 21.634323], [0.874440, 0.944459, 0.947595, 1.031445, 1.100013, 1.137945, 1.158681, 1.303443, 1.491494, 51.137500], [12.142876, 12.886432, 12.978292, 13.162059, 14.365245, 14.675504, 15.016668, 15.916833, 17.327263, 43.687795], [6.136503, 6.362049, 6.368340, 6.381198, 6.722411, 7.163323, 7.491776, 7.703577, 8.636391, 56.023533], [2.443013, 2.813767, 2.860067, 2.893556, 2.940383, 3.140417, 3.186031, 4.458334, 4.735622, 22.255456]]
### 8
fourier: [[1.313589, 1.367743, 1.404371, 1.448780, 1.539841, 1.575318, 1.576316, 1.587328, 1.600751, 38.621598], [5.822527, 5.830197, 5.907121, 6.515747, 6.550553, 6.710006, 6.911497, 7.348724, 7.696952, 63.519127], [1.809067, 1.850502, 1.851133, 1.893233, 1.941627, 1.977709, 2.005786, 2.143843, 2.223747, 45.127643], [1.536260, 1.540982, 1.558044, 1.607875, 1.624669, 1.651097, 1.734126, 1.777178, 1.972909, 21.328333], [12.144412, 12.887375, 13.023138, 13.199137, 14.365233, 14.642182, 15.274159, 15.786719, 17.273561, 17.419481], [7.816918, 8.410998, 8.459190, 8.529732, 9.219193, 9.543946, 10.025009, 10.182598, 11.187836, 37.145882], [3.170226, 3.334988, 3.410483, 3.728631, 3.732676, 3.873535, 4.078467, 4.096757, 4.420788, 57.376254], [2.186296, 2.189228, 2.275982, 2.280084, 2.402260, 2.510376, 2.561416, 3.010710, 3.713555, 41.361614]]
### 10
fourier: [[0.337812, 0.338226, 0.341025, 0.341637, 0.370487, 0.377400, 0.429933, 0.438878, 0.446931, 88.025566], [6.688032, 6.692816, 6.718543, 6.753849, 6.958060, 7.397294, 7.760390, 7.800029, 9.885550, 32.186166], [0.713593, 0.723960, 0.734319, 0.785987, 0.848019, 0.881711, 0.982379, 1.161588, 1.219040, 39.802932], [4.321257, 4.460213, 4.514175, 4.837588, 5.000703, 5.184043, 5.449160, 5.527938, 6.216171, 38.432770], [3.881575, 3.939283, 3.960469, 4.322565, 4.484623, 4.551713, 4.908308, 5.131268, 5.188683, 9.629706], [4.288660, 4.323156, 4.541758, 4.565986, 4.809610, 5.065669, 5.141661, 5.515784, 5.614372, 6.268426], [3.494046, 3.565735, 3.792718, 4.063000, 4.141873, 4.178806, 4.464486, 4.496498, 5.089962, 66.488621], [3.863871, 3.904584, 3.954923, 4.277535, 4.465606, 4.484757, 4.853800, 5.057023, 5.358544, 14.111274]]
### 12
fourier: [[2.637018, 2.694556, 2.701911, 2.758605, 2.807375, 2.960626, 3.051189, 3.131358, 4.123096, 29.283877]]
## 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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{"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": [[-0.182177, 0.083424, -0.957681, -0.548055, -0.240423], [0.033069, 0.272001, 0.157314, 0.043937, -0.624121], [0.049715, -0.775598, -0.81405, -0.740433, -0.094595], [-0.086169, 0.230977, 0.13262, 0.177972, 0.496878], [0.185819, 0.520614, -0.236718, 0.172432, 0.691373], [0.255358, 0.06539, 1.01509, -0.089434, 0.106836], [-0.07374, -0.178772, -0.19056, 0.349861, -0.454319], [0.39078, 0.477425, -0.673192, 0.406831, 0.285137]], "network.0.bias": [0.200266, 0.423984, -0.199595, 0.464617, 0.121263, 0.270652, -0.264514, -0.212121], "network.2.weight": [[-0.336103, -0.34718, 0.312253, -0.139567, -0.553977, -0.169392, 0.11523, -0.364227], [0.029357, -0.176095, 0.305618, -0.120061, -0.278963, -0.600147, -0.69053, -0.372928], [0.294744, 0.107819, -0.231866, 0.170785, 0.080819, 0.60576, 0.27478, -0.255242], [-0.093146, -0.773352, -0.180416, -0.847485, -0.219198, 0.051244, -0.289425, -0.408467], [-0.243663, -0.413608, 0.423901, -0.737868, -0.418494, -0.775881, -0.66351, -0.617028], [-0.564983, -0.285621, 0.170054, 0.262113, 0.364949, -0.306331, -0.127696, 0.397098], [-0.33359, -0.486645, -0.040692, 0.147616, -0.116528, 0.315509, -0.918533, -0.645885], [-0.177079, -0.311157, -0.421434, -0.576062, -0.439052, -0.18554, -0.798402, -0.765421]], "network.2.bias": [-0.085731, -0.381128, 0.31687, -0.232205, -0.233755, -0.430811, 0.024431, -0.150728], "network.4.weight": [[0.050427, 0.033859, -0.061727, -0.323982, 0.24662, 0.110406, -0.023253, -0.310559], [0.297203, 0.350242, -0.596845, 0.386188, 0.121553, -0.496772, -0.195654, 0.195942], [-0.563436, 0.375376, -0.438259, 0.230866, 0.205318, 0.774234, 0.345601, 0.237671], [-0.415296, -0.294762, -0.463488, -0.527497, -0.053145, 0.29818, 0.261255, 0.084801], [-0.035781, -0.407248, -0.233665, 0.206288, 0.454077, -0.395365, 0.656974, 0.33799], [-0.155584, 0.256822, -0.88725, 0.860076, 0.18587, -0.686865, 0.523205, 0.735874], [0.387662, -0.412338, 0.275732, 0.617788, 0.716065, 0.600519, 0.165079, 0.707826], [0.127501, 0.082468, -0.49518, -0.609636, -0.027267, -0.06431, -0.771436, 0.384732]], "network.4.bias": [-0.019752, -0.26062, -0.161156, -0.417666, -0.979699, -0.942568, -0.471804, -0.126974], "network.6.weight": [[-0.705355, -0.425673, 0.341083, 0.84865, 0.819467, 0.175655, -0.016087, 0.725418], [-0.062089, -0.546421, -0.181457, -0.634111, 0.16185, -0.298276, -0.304563, -0.238027], [0.137773, 0.162774, -0.114608, -0.007473, -0.118662, -0.359689, -0.233387, -0.10611], [0.217306, 0.380624, -0.418945, -0.988785, -0.348784, -0.64651, -0.487533, -1.150879], [0.147084, 0.656206, -0.120166, -0.272284, 0.248114, -0.221511, 0.071894, -0.444363], [0.561963, 0.207702, 0.759743, 0.221912, 0.114139, 0.17941, 0.772882, 0.51341], [-0.240768, 0.045178, -0.159203, -0.681335, 0.305986, -0.385637, -0.497147, -0.022569], [-0.028864, -0.301551, -0.008792, 0.639956, 0.567854, 0.197121, -0.385267, 0.296651]], "network.6.bias": [-0.4538, 0.024797, 0.043744, 0.345441, -0.57313, 0.100284, -0.388642, 0.057322], "network.8.weight": [[-0.381217, 0.04596, -0.103159, 0.065262, 0.333677, -0.095731, 0.851922, -0.682118], [-0.180275, 0.54758, -0.288382, -0.462154, 0.244073, -0.549283, 0.526375, -0.343568], [-0.305355, 0.498198, -0.33309, -0.672338, 0.19958, -0.208048, 0.120864, -0.312958], [-0.265384, 0.129672, -0.130959, -0.439574, 0.253924, -0.182526, 0.279251, -0.553852], [0.447731, -0.402673, -0.272214, -0.276703, -0.039461, 0.882708, -0.360747, -0.306808], [-0.467543, 0.400046, 0.172349, 0.296995, -0.39496, -0.528017, -0.436888, -0.23232], [0.399034, 0.259828, -0.200318, -0.181897, 0.603711, -0.33731, -0.018399, -0.193439], [-0.208689, 0.129343, -0.53244, -0.34424, 0.144574, 0.052912, -0.076032, -0.382582]], "network.8.bias": [-0.35358, -0.276991, -0.253105, -0.038154, -0.169991, 0.378127, -0.297372, -0.448535], "network.10.weight": [[0.678343, 0.155008, 0.396714, 0.577004, 0.055024, 0.056013, -0.132961, 0.123818], [0.334843, -0.094299, 0.151875, -0.092264, -0.303914, 0.770368, -1.044004, -0.789998], [0.628208, 0.009585, 0.519527, 0.260722, -0.053989, -0.260333, -0.562705, -0.113509], [-0.372743, 0.160781, -0.28707, -0.332715, -0.334127, 0.226017, 0.425726, -0.461627], [0.058515, -0.123917, 0.084195, 0.137329, -0.290236, 0.20661, -0.232834, 0.209661], [0.136826, 0.179389, 0.023729, -0.174894, -0.304196, 0.321491, -0.678686, -0.034375], [0.214364, -0.107495, 0.961529, 1.080561, -0.253008, 0.171394, -0.097522, 0.137724], [-0.221742, 0.215131, -0.226746, -0.036176, 0.267097, -0.237101, 0.043959, 0.121875]], "network.10.bias": [-0.793804, -0.081999, -0.230407, 0.3432, 0.125287, -0.077816, -0.467487, 0.153753], "network.12.weight": [[-0.225124, -0.158019, 0.087262, -0.258538, -0.303045, -0.117816, 0.283581, 0.251488]], "network.12.bias": [-0.162112]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7013557553291321, "train_acc": 0.46, "val_loss": 0.8122775554656982, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6948324739933014, "train_acc": 0.58, "val_loss": 0.720221996307373, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.6973361074924469, "train_acc": 0.515, "val_loss": 0.6928622722625732, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.7007794678211212, "train_acc": 0.44, "val_loss": 0.6906945109367371, "val_acc": 0.56}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.692865639925003, "train_acc": 0.485, "val_loss": 0.6959164142608643, "val_acc": 0.48}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.6786939203739166, "train_acc": 0.565, "val_loss": 0.6436842083930969, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.6618850529193878, "train_acc": 0.605, "val_loss": 0.5443665981292725, "val_acc": 0.66}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.6707026660442352, "train_acc": 0.655, "val_loss": 0.647591769695282, "val_acc": 0.62}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.5699574053287506, "train_acc": 0.68, "val_loss": 0.5821893811225891, "val_acc": 0.7}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.5947018265724182, "train_acc": 0.665, "val_loss": 0.6264546513557434, "val_acc": 0.64}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.8122775554656982, "final_val_loss": 0.720221996307373, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6928622722625732, "final_val_loss": 0.6264546513557434, "initial_val_acc": 0.5, "final_val_acc": 0.64, "best_val_acc": 0.7, "best_epoch": 5}, "improvement": 0.25999999999999995, "first_improvement_epoch": 1}}
|
381
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9611, "learning_rate": 0.06998364136095983, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[16.068774, 16.828662, 18.217165, 19.856285, 22.165520, 23.589999, 25.603284, 26.481657, 29.796760, 82.097831], [17.440552, 18.300222, 19.728708, 24.379577, 25.807344, 25.870397, 26.514998, 28.449953, 30.912054, 227.153709], [14.494177, 14.632437, 14.879711, 16.553192, 17.998944, 18.601145, 18.904654, 19.508875, 23.570124, 151.907789], [17.223865, 17.230985, 17.593154, 19.301901, 20.032435, 21.841945, 22.238008, 23.251940, 28.540424, 190.056389], [15.558198, 15.970572, 16.254552, 17.457841, 17.618259, 18.160981, 18.210375, 22.707836, 24.757374, 105.976180], [17.729167, 18.348517, 18.352430, 18.428928, 19.634758, 19.867965, 20.903960, 22.030239, 22.721910, 24.267936], [32.542068, 32.825999, 32.904862, 33.637799, 34.915882, 36.750821, 40.791432, 42.574452, 44.155830, 252.490105], [23.200857, 25.147396, 25.337837, 26.830094, 27.117006, 28.744481, 31.510732, 37.437745, 38.632383, 85.028748]]
### 2
fourier: [[20.443706, 21.309495, 22.323065, 23.431580, 24.116734, 28.294245, 31.723210, 33.461442, 33.940566, 195.256298], [20.820114, 21.337595, 21.616954, 21.804075, 22.255462, 23.713699, 27.737729, 27.970554, 28.743396, 147.425167], [6.054345, 6.141067, 6.587210, 7.195610, 7.426735, 7.604870, 7.690099, 7.814720, 9.448331, 65.703354], [7.302550, 8.336161, 8.723887, 8.801914, 9.558450, 9.959758, 10.438018, 10.525994, 13.342642, 35.027720], [6.071450, 6.364654, 6.726913, 6.868447, 7.647754, 9.107387, 9.205625, 9.623321, 11.551475, 49.402209], [9.930441, 10.130941, 10.308602, 11.046761, 11.436989, 12.404569, 13.895556, 14.361868, 17.245632, 109.419225], [35.993664, 37.115423, 37.275317, 39.424168, 41.696257, 43.251321, 50.818352, 51.871904, 52.011419, 278.889162], [12.917436, 13.442959, 14.102915, 14.345612, 14.392876, 18.035958, 18.502684, 18.879417, 19.037639, 105.742202]]
### 4
fourier: [[24.115588, 24.346253, 25.540653, 25.766873, 27.492159, 27.580146, 33.203722, 33.922461, 34.285085, 191.512027], [19.770135, 20.133969, 23.619271, 24.140464, 26.041352, 26.367591, 27.904712, 28.280084, 30.424352, 98.899071], [14.358169, 14.783299, 15.491509, 16.587830, 18.042054, 18.374788, 20.150495, 20.277847, 20.530204, 145.837610], [11.122641, 11.275565, 11.611848, 13.287393, 13.754845, 15.829199, 16.252170, 17.241190, 18.992240, 139.186474], [31.810281, 34.139350, 35.169612, 37.697672, 38.851758, 43.686082, 45.752983, 47.528446, 49.006464, 212.511479], [9.722147, 10.570344, 10.861685, 10.867903, 11.994679, 13.069287, 13.153658, 16.139460, 17.013730, 135.933935], [25.535406, 25.948283, 28.371920, 29.939424, 33.301857, 34.260512, 35.624998, 35.764953, 39.659432, 173.157883], [8.468807, 8.807265, 9.018450, 9.249591, 10.469577, 11.072389, 11.622745, 12.046845, 13.400045, 75.048507]]
### 6
fourier: [[15.780157, 16.649516, 18.315332, 18.568803, 19.031087, 20.339344, 21.017162, 22.959023, 23.186419, 65.052503], [32.545863, 34.211796, 39.013697, 40.829002, 41.586559, 44.382710, 45.473823, 45.966284, 49.775148, 188.931527], [9.267512, 9.863886, 10.474850, 10.503765, 10.800275, 11.868553, 12.279573, 12.574080, 14.011134, 54.455628], [2.670600, 2.888787, 2.976594, 3.189915, 3.372518, 3.392338, 3.704980, 4.534957, 4.663398, 45.753146], [13.808288, 17.244888, 17.579830, 18.597119, 19.265761, 19.568429, 21.982571, 22.969882, 23.329305, 56.476358], [31.153503, 35.044550, 36.350961, 38.862913, 42.190878, 42.394458, 42.647774, 46.063173, 48.022025, 176.469385], [20.679466, 20.881075, 24.776941, 25.393041, 27.627158, 27.812450, 28.278151, 29.150017, 32.091915, 170.588313], [3.096401, 3.509425, 3.633816, 3.930327, 4.105133, 4.224770, 4.429473, 5.031371, 5.332082, 12.802407]]
### 8
fourier: [[38.925024, 39.496407, 45.175901, 45.937268, 47.499636, 50.168748, 52.449130, 53.142602, 56.581683, 213.943908], [11.561865, 12.065496, 13.385331, 13.473876, 13.877151, 13.886826, 15.283075, 16.001285, 16.870919, 32.402535], [19.467242, 21.277182, 24.140051, 24.168955, 25.259326, 26.726233, 27.348855, 28.690745, 30.382454, 149.782398], [2.458760, 2.462298, 2.612314, 2.613415, 2.688137, 2.756713, 3.127964, 3.274656, 4.038514, 27.032710], [7.741866, 8.126667, 8.136086, 8.571532, 9.049638, 9.067593, 9.561916, 9.904557, 11.227989, 79.435949], [9.250063, 9.541491, 10.151615, 10.977182, 11.003780, 11.006321, 11.439682, 12.570326, 12.942349, 13.720596], [10.617988, 11.872762, 12.052582, 12.210973, 12.535974, 13.005763, 13.491029, 14.490355, 15.862381, 36.403721], [4.816345, 5.186470, 5.337905, 5.995506, 6.313284, 6.343793, 6.807195, 6.999866, 7.319450, 7.613762]]
### 10
fourier: [[19.854905, 21.230945, 21.819748, 22.388305, 24.997969, 26.178484, 26.221672, 27.357108, 30.191322, 84.298427]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[16.068774, 16.828662, 18.217165, 19.856285, 22.165520, 23.589999, 25.603284, 26.481657, 29.796760, 82.097831], [17.440552, 18.300222, 19.728708, 24.379577, 25.807344, 25.870397, 26.514998, 28.449953, 30.912054, 227.153709], [14.494177, 14.632437, 14.879711, 16.553192, 17.998944, 18.601145, 18.904654, 19.508875, 23.570124, 151.907789], [17.223865, 17.230985, 17.593154, 19.301901, 20.032435, 21.841945, 22.238008, 23.251940, 28.540424, 190.056389], [15.558198, 15.970572, 16.254552, 17.457841, 17.618259, 18.160981, 18.210375, 22.707836, 24.757374, 105.976180], [17.729167, 18.348517, 18.352430, 18.428928, 19.634758, 19.867965, 20.903960, 22.030239, 22.721910, 24.267936], [32.542068, 32.825999, 32.904862, 33.637799, 34.915882, 36.750821, 40.791432, 42.574452, 44.155830, 252.490105], [23.200857, 25.147396, 25.337837, 26.830094, 27.117006, 28.744481, 31.510732, 37.437745, 38.632383, 85.028748]]
### 2
fourier: [[20.443706, 21.309495, 22.323065, 23.431580, 24.116734, 28.294245, 31.723210, 33.461442, 33.940566, 195.256298], [20.820114, 21.337595, 21.616954, 21.804075, 22.255462, 23.713699, 27.737729, 27.970554, 28.743396, 147.425167], [6.054345, 6.141067, 6.587210, 7.195610, 7.426735, 7.604870, 7.690099, 7.814720, 9.448331, 65.703354], [7.302550, 8.336161, 8.723887, 8.801914, 9.558450, 9.959758, 10.438018, 10.525994, 13.342642, 35.027720], [6.071450, 6.364654, 6.726913, 6.868447, 7.647754, 9.107387, 9.205625, 9.623321, 11.551475, 49.402209], [9.930441, 10.130941, 10.308602, 11.046761, 11.436989, 12.404569, 13.895556, 14.361868, 17.245632, 109.419225], [35.993664, 37.115423, 37.275317, 39.424168, 41.696257, 43.251321, 50.818352, 51.871904, 52.011419, 278.889162], [12.917436, 13.442959, 14.102915, 14.345612, 14.392876, 18.035958, 18.502684, 18.879417, 19.037639, 105.742202]]
### 4
fourier: [[24.115588, 24.346253, 25.540653, 25.766873, 27.492159, 27.580146, 33.203722, 33.922461, 34.285085, 191.512027], [19.770135, 20.133969, 23.619271, 24.140464, 26.041352, 26.367591, 27.904712, 28.280084, 30.424352, 98.899071], [14.358169, 14.783299, 15.491509, 16.587830, 18.042054, 18.374788, 20.150495, 20.277847, 20.530204, 145.837610], [11.122641, 11.275565, 11.611848, 13.287393, 13.754845, 15.829199, 16.252170, 17.241190, 18.992240, 139.186474], [31.810281, 34.139350, 35.169612, 37.697672, 38.851758, 43.686082, 45.752983, 47.528446, 49.006464, 212.511479], [9.722147, 10.570344, 10.861685, 10.867903, 11.994679, 13.069287, 13.153658, 16.139460, 17.013730, 135.933935], [25.535406, 25.948283, 28.371920, 29.939424, 33.301857, 34.260512, 35.624998, 35.764953, 39.659432, 173.157883], [8.468807, 8.807265, 9.018450, 9.249591, 10.469577, 11.072389, 11.622745, 12.046845, 13.400045, 75.048507]]
### 6
fourier: [[15.780157, 16.649516, 18.315332, 18.568803, 19.031087, 20.339344, 21.017162, 22.959023, 23.186419, 65.052503], [32.545863, 34.211796, 39.013697, 40.829002, 41.586559, 44.382710, 45.473823, 45.966284, 49.775148, 188.931527], [9.267512, 9.863886, 10.474850, 10.503765, 10.800275, 11.868553, 12.279573, 12.574080, 14.011134, 54.455628], [2.670600, 2.888787, 2.976594, 3.189915, 3.372518, 3.392338, 3.704980, 4.534957, 4.663398, 45.753146], [13.808288, 17.244888, 17.579830, 18.597119, 19.265761, 19.568429, 21.982571, 22.969882, 23.329305, 56.476358], [31.153503, 35.044550, 36.350961, 38.862913, 42.190878, 42.394458, 42.647774, 46.063173, 48.022025, 176.469385], [20.679466, 20.881075, 24.776941, 25.393041, 27.627158, 27.812450, 28.278151, 29.150017, 32.091915, 170.588313], [3.096401, 3.509425, 3.633816, 3.930327, 4.105133, 4.224770, 4.429473, 5.031371, 5.332082, 12.802407]]
### 8
fourier: [[38.925024, 39.496407, 45.175901, 45.937268, 47.499636, 50.168748, 52.449130, 53.142602, 56.581683, 213.943908], [11.561865, 12.065496, 13.385331, 13.473876, 13.877151, 13.886826, 15.283075, 16.001285, 16.870919, 32.402535], [19.467242, 21.277182, 24.140051, 24.168955, 25.259326, 26.726233, 27.348855, 28.690745, 30.382454, 149.782398], [2.458760, 2.462298, 2.612314, 2.613415, 2.688137, 2.756713, 3.127964, 3.274656, 4.038514, 27.032710], [7.741866, 8.126667, 8.136086, 8.571532, 9.049638, 9.067593, 9.561916, 9.904557, 11.227989, 79.435949], [9.250063, 9.541491, 10.151615, 10.977182, 11.003780, 11.006321, 11.439682, 12.570326, 12.942349, 13.720596], [10.617988, 11.872762, 12.052582, 12.210973, 12.535974, 13.005763, 13.491029, 14.490355, 15.862381, 36.403721], [4.816345, 5.186470, 5.337905, 5.995506, 6.313284, 6.343793, 6.807195, 6.999866, 7.319450, 7.613762]]
### 10
fourier: [[19.854905, 21.230945, 21.819748, 22.388305, 24.997969, 26.178484, 26.221672, 27.357108, 30.191322, 84.298427]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.060529, -0.551696, 0.36575, -0.250121, 0.011509], [-0.019014, 0.441142, 0.351565, 0.414216, -0.017002], [-0.276967, -0.337504, -0.025573, -0.054372, -0.258841], [-0.22591, -0.158584, -0.28446, -0.289103, -0.256373], [0.060571, 0.445758, 0.044736, 0.1785, 0.273832], [0.50199, -0.002377, -0.599095, 0.312974, 0.132994], [0.770146, 0.571234, 0.199819, 0.203708, -0.166376], [0.46389, 0.001344, 0.641636, -0.262871, -0.089253]], "network.0.bias": [-0.073396, 0.142058, -0.238934, -0.011264, -0.524092, 0.016648, 0.157082, -0.301485], "network.2.weight": [[0.398032, 0.251853, 0.413276, -0.077671, 0.002587, 0.623881, 0.339175, 0.209647], [-0.165124, -0.230775, 0.064142, -0.054152, -0.072828, -0.125062, -0.313329, -0.307478], [-0.35789, 0.257916, -0.540419, -0.400947, 0.09059, -0.186725, -0.039553, -0.092212], [-0.417459, 0.188677, 0.16018, -0.002314, 0.01596, 0.205405, -0.088669, -0.237606], [-0.052398, -0.162196, -0.300505, -0.270844, 0.148162, -0.295022, -0.00887, -0.195326], [-0.092349, -0.079024, 0.020463, -0.182013, -0.003108, -0.333523, -0.248469, 0.087646], [0.344312, 0.268997, -0.003761, 0.516787, 0.185938, 0.526117, 0.575427, 0.523809], [0.565742, 0.067205, 0.186423, 0.108948, 0.248388, 0.322936, 0.130393, 0.14811]], "network.2.bias": [0.001065, 0.33034, 0.276622, 0.35997, 0.070756, -0.243122, -0.287059, -0.025565], "network.4.weight": [[-0.096006, 0.043799, -0.200052, 0.066614, -0.031882, 0.017998, -0.59254, -0.004203], [0.11458, 0.357277, -0.481743, -0.358738, 0.011264, 0.447968, 0.447693, 0.074117], [0.004185, -0.151415, 0.001945, 0.048416, -0.324677, 0.276853, -0.273447, -0.391776], [-0.34569, 0.129111, 0.298227, 0.02726, 0.331215, 0.402884, -0.059597, -0.144935], [0.517848, 0.469268, -0.266553, 0.114115, -0.300283, 0.296421, 0.442244, 0.441632], [0.296922, -0.280947, 0.548879, 0.012141, 0.008959, -0.218648, 0.134911, -0.136593], [0.480418, 0.087974, -0.354296, -0.331411, 0.143821, 0.192366, 0.503568, -0.232729], [0.203972, -0.4572, -0.022125, -0.294545, 0.006, 0.107381, 0.085799, 0.024783]], "network.4.bias": [0.004811, -0.106241, -0.382356, -0.58218, -0.437884, 0.238228, -0.006898, 0.229785], "network.6.weight": [[-0.132889, -0.041709, 0.507814, 0.245719, 0.457543, 0.118492, 0.091411, -0.257631], [0.151987, 0.447814, 0.036816, 0.368226, 0.561735, -0.397046, 0.459304, -0.203836], [-0.69192, 0.11983, -0.463507, -0.098396, -0.206668, -0.257975, -0.042722, -0.042976], [0.259332, -0.11815, -0.366701, -0.382084, -0.033037, 0.332006, 0.069041, 0.103391], [0.468323, 0.467962, 0.389371, 0.716001, 0.114267, -0.412628, 0.223692, -0.036513], [0.321091, 0.165026, 0.394574, -0.046452, 0.58673, 0.100435, 0.384621, -0.081287], [0.567366, -0.684986, 0.375786, 0.324482, -0.103691, -0.00248, -0.061776, -0.434555], [-0.449615, 0.158259, -0.337684, -0.633753, -0.120062, 0.340989, -0.146725, -0.086476]], "network.6.bias": [-0.407883, 0.151976, 0.140216, -0.016042, 0.15379, -0.380671, -0.353746, -0.010136], "network.8.weight": [[0.252162, 0.460041, -0.335765, -0.024591, 0.199894, 0.505207, 0.281538, -0.399576], [-0.379235, 0.036976, -0.204231, -0.048169, -0.040493, -0.212399, -0.569733, -0.249179], [0.2628, -0.408219, -0.031383, 0.077814, -0.141465, -0.277962, 0.342441, 0.159022], [0.012925, -0.015181, 0.401569, 0.157373, -0.062977, 0.128086, 0.111944, 0.454974], [-0.011301, -0.271139, -0.009852, 0.261441, 0.002947, 0.498443, 0.125318, -0.033382], [-0.408888, 0.045818, -0.15749, -0.007858, 0.006977, -0.143611, -0.698474, 0.101628], [-0.532896, -0.036222, 0.042017, -0.121791, 0.153668, -0.102474, -0.396958, 0.06623], [-0.307687, -0.184134, 0.208066, -0.131627, -0.007228, 0.187672, 0.053783, 0.154509]], "network.8.bias": [0.109416, 0.294919, -0.366022, 0.034087, 0.369886, 0.359619, 0.194791, 0.283381], "network.10.weight": [[-0.528431, 0.348194, -0.211081, 0.18848, 0.253053, 0.222581, 0.197129, 0.21822]], "network.10.bias": [0.019416]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6569052338600159, "train_acc": 0.715, "val_loss": 0.8827316761016846, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5944322645664215, "train_acc": 0.605, "val_loss": 0.6394365429878235, "val_acc": 0.38}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.49803782999515533, "train_acc": 0.61, "val_loss": 0.44299572706222534, "val_acc": 0.9}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3664507120847702, "train_acc": 0.875, "val_loss": 0.3308163583278656, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.26421187818050385, "train_acc": 0.89, "val_loss": 0.42917731404304504, "val_acc": 0.84}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2861667573451996, "train_acc": 0.905, "val_loss": 0.3511548638343811, "val_acc": 0.9}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.29108212888240814, "train_acc": 0.92, "val_loss": 0.36732345819473267, "val_acc": 0.9}], "summary": {"total_epochs": 7, "degraded_epochs": 2, "improved_epochs": 5, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.8827316761016846, "final_val_loss": 0.6394365429878235, "initial_val_acc": 0.38, "final_val_acc": 0.38, "best_val_acc": 0.38}, "improved_stage": {"initial_val_loss": 0.44299572706222534, "final_val_loss": 0.36732345819473267, "initial_val_acc": 0.9, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 2}, "improvement": 0.52, "first_improvement_epoch": 1}}
|
382
|
{"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3846, "learning_rate": 0.03133456493589688, "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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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"network.2.weight": [
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"network.8.weight": [
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]
}
## Activation Signature
### 0
fourier: [[26.158882, 28.173980, 28.637164, 29.375597, 29.769792, 32.582744, 37.424673, 40.328309, 42.009266, 116.050408], [23.772020, 24.200794, 24.209078, 24.374072, 26.748876, 27.279208, 27.991105, 29.980777, 32.568118, 275.331187], [20.829916, 23.757075, 23.867392, 24.876751, 26.028902, 26.614066, 27.791355, 28.614407, 28.844140, 203.603004], [28.803713, 31.153876, 31.228495, 33.988488, 34.017796, 34.620888, 39.374491, 41.799722, 42.344184, 207.989430], [14.691193, 16.154740, 16.746604, 17.617001, 18.247949, 18.253770, 18.522421, 23.054445, 26.399589, 54.637805], [17.328176, 17.470716, 18.338751, 18.844727, 19.285039, 19.901869, 20.772281, 20.920826, 22.406158, 27.418727], [15.002609, 15.104476, 15.613335, 17.128680, 19.904659, 20.862608, 21.688690, 21.998296, 22.314200, 24.038788]]
### 2
fourier: [[15.509326, 16.446633, 16.485760, 17.562392, 17.671778, 17.796216, 18.026439, 20.882392, 22.992044, 50.261463], [22.375258, 22.630042, 22.856373, 23.414832, 23.424034, 23.473475, 23.986262, 24.895477, 29.596342, 57.214154], [31.740366, 33.637033, 33.956582, 34.535297, 35.828054, 36.201354, 36.715361, 38.355019, 45.073999, 76.828695], [33.626707, 35.157220, 37.384369, 38.227753, 39.163035, 41.072176, 41.762458, 45.477658, 50.312287, 343.780154], [12.860784, 13.892998, 14.246275, 14.251854, 14.724320, 16.124513, 16.286100, 17.432758, 18.264974, 174.821758], [12.656678, 13.171303, 13.364263, 13.636173, 14.280128, 14.462087, 17.890193, 18.188621, 22.553579, 169.036434], [11.631575, 12.247280, 12.380936, 12.690225, 13.227060, 17.100638, 17.479590, 17.995824, 19.988757, 94.931839]]
### 4
fourier: [[32.075304, 32.334092, 36.380235, 37.412989, 37.495403, 39.710603, 42.390476, 43.914341, 59.535291, 93.787663], [13.591296, 13.720517, 14.514562, 14.571093, 14.958698, 15.660781, 16.240009, 18.128858, 18.339735, 147.940153], [11.454368, 11.480296, 11.924357, 12.644096, 13.001461, 13.900698, 15.123130, 19.127577, 19.901388, 163.342531], [4.563640, 4.621247, 5.221241, 5.372479, 5.620735, 6.095130, 6.203929, 6.673318, 8.703089, 76.356920], [11.415346, 12.339151, 12.528556, 12.738605, 13.973838, 14.744909, 14.785155, 14.851526, 16.563721, 23.733292], [8.929392, 8.988765, 8.992724, 9.639072, 9.708035, 9.795587, 9.971644, 12.926197, 14.177884, 129.997912], [10.074365, 10.244876, 10.872436, 10.905253, 10.944980, 11.105045, 12.151032, 13.536362, 15.609567, 138.303340]]
### 6
fourier: [[24.476353, 24.670928, 25.436687, 25.627916, 26.299290, 28.186081, 28.924886, 29.528046, 30.795994, 128.068749], [5.783878, 6.297611, 6.533370, 6.580453, 6.800336, 6.957164, 7.372636, 7.396031, 7.647318, 7.994669], [20.503881, 20.950664, 21.507542, 21.516367, 22.092519, 23.759951, 24.553702, 24.966620, 26.020045, 117.343723], [21.456702, 21.701148, 22.352636, 22.476389, 23.070788, 24.747421, 25.440443, 25.945299, 27.054543, 111.945671], [6.247768, 6.597786, 6.714150, 6.800332, 6.802951, 7.411988, 7.861559, 7.875848, 8.186719, 10.753974], [2.957002, 3.224677, 3.421751, 3.538381, 3.592886, 3.605076, 3.891631, 4.168266, 4.205970, 4.324831], [16.605539, 17.200822, 17.450105, 17.597240, 17.942621, 19.364443, 20.152397, 20.409607, 21.255575, 106.897517]]
### 8
fourier: [[4.153642, 4.202354, 4.285681, 4.364573, 4.418639, 4.815275, 4.871956, 5.092471, 5.133528, 62.658068], [10.238553, 10.410439, 10.525819, 10.828999, 11.429329, 11.759666, 12.246070, 12.949312, 13.377812, 22.629808], [9.411986, 9.664837, 9.696683, 10.119851, 10.671345, 10.853363, 11.317838, 12.244461, 12.565394, 37.038104], [48.254508, 49.277696, 50.360105, 50.727971, 52.606199, 55.853799, 58.523105, 58.786170, 61.731055, 239.733892], [4.690398, 4.731652, 4.748799, 4.891828, 4.975710, 5.154348, 5.415861, 5.560440, 5.647322, 51.737391], [38.114642, 38.909711, 39.701313, 40.145006, 41.709237, 44.072078, 46.189149, 46.746735, 48.970396, 176.141819], [2.889024, 2.949827, 3.005101, 3.048721, 3.231250, 3.332981, 3.459854, 3.543984, 3.686048, 32.730434]]
### 10
fourier: [[49.684322, 50.000254, 51.096574, 51.105886, 54.586376, 57.604814, 58.284141, 60.342375, 62.510147, 171.048033]]
## 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: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[26.158882, 28.173980, 28.637164, 29.375597, 29.769792, 32.582744, 37.424673, 40.328309, 42.009266, 116.050408], [23.772020, 24.200794, 24.209078, 24.374072, 26.748876, 27.279208, 27.991105, 29.980777, 32.568118, 275.331187], [20.829916, 23.757075, 23.867392, 24.876751, 26.028902, 26.614066, 27.791355, 28.614407, 28.844140, 203.603004], [28.803713, 31.153876, 31.228495, 33.988488, 34.017796, 34.620888, 39.374491, 41.799722, 42.344184, 207.989430], [14.691193, 16.154740, 16.746604, 17.617001, 18.247949, 18.253770, 18.522421, 23.054445, 26.399589, 54.637805], [17.328176, 17.470716, 18.338751, 18.844727, 19.285039, 19.901869, 20.772281, 20.920826, 22.406158, 27.418727], [15.002609, 15.104476, 15.613335, 17.128680, 19.904659, 20.862608, 21.688690, 21.998296, 22.314200, 24.038788]]
### 2
fourier: [[15.509326, 16.446633, 16.485760, 17.562392, 17.671778, 17.796216, 18.026439, 20.882392, 22.992044, 50.261463], [22.375258, 22.630042, 22.856373, 23.414832, 23.424034, 23.473475, 23.986262, 24.895477, 29.596342, 57.214154], [31.740366, 33.637033, 33.956582, 34.535297, 35.828054, 36.201354, 36.715361, 38.355019, 45.073999, 76.828695], [33.626707, 35.157220, 37.384369, 38.227753, 39.163035, 41.072176, 41.762458, 45.477658, 50.312287, 343.780154], [12.860784, 13.892998, 14.246275, 14.251854, 14.724320, 16.124513, 16.286100, 17.432758, 18.264974, 174.821758], [12.656678, 13.171303, 13.364263, 13.636173, 14.280128, 14.462087, 17.890193, 18.188621, 22.553579, 169.036434], [11.631575, 12.247280, 12.380936, 12.690225, 13.227060, 17.100638, 17.479590, 17.995824, 19.988757, 94.931839]]
### 4
fourier: [[32.075304, 32.334092, 36.380235, 37.412989, 37.495403, 39.710603, 42.390476, 43.914341, 59.535291, 93.787663], [13.591296, 13.720517, 14.514562, 14.571093, 14.958698, 15.660781, 16.240009, 18.128858, 18.339735, 147.940153], [11.454368, 11.480296, 11.924357, 12.644096, 13.001461, 13.900698, 15.123130, 19.127577, 19.901388, 163.342531], [4.563640, 4.621247, 5.221241, 5.372479, 5.620735, 6.095130, 6.203929, 6.673318, 8.703089, 76.356920], [11.415346, 12.339151, 12.528556, 12.738605, 13.973838, 14.744909, 14.785155, 14.851526, 16.563721, 23.733292], [8.929392, 8.988765, 8.992724, 9.639072, 9.708035, 9.795587, 9.971644, 12.926197, 14.177884, 129.997912], [10.074365, 10.244876, 10.872436, 10.905253, 10.944980, 11.105045, 12.151032, 13.536362, 15.609567, 138.303340]]
### 6
fourier: [[24.476353, 24.670928, 25.436687, 25.627916, 26.299290, 28.186081, 28.924886, 29.528046, 30.795994, 128.068749], [5.783878, 6.297611, 6.533370, 6.580453, 6.800336, 6.957164, 7.372636, 7.396031, 7.647318, 7.994669], [20.503881, 20.950664, 21.507542, 21.516367, 22.092519, 23.759951, 24.553702, 24.966620, 26.020045, 117.343723], [21.456702, 21.701148, 22.352636, 22.476389, 23.070788, 24.747421, 25.440443, 25.945299, 27.054543, 111.945671], [6.247768, 6.597786, 6.714150, 6.800332, 6.802951, 7.411988, 7.861559, 7.875848, 8.186719, 10.753974], [2.957002, 3.224677, 3.421751, 3.538381, 3.592886, 3.605076, 3.891631, 4.168266, 4.205970, 4.324831], [16.605539, 17.200822, 17.450105, 17.597240, 17.942621, 19.364443, 20.152397, 20.409607, 21.255575, 106.897517]]
### 8
fourier: [[4.153642, 4.202354, 4.285681, 4.364573, 4.418639, 4.815275, 4.871956, 5.092471, 5.133528, 62.658068], [10.238553, 10.410439, 10.525819, 10.828999, 11.429329, 11.759666, 12.246070, 12.949312, 13.377812, 22.629808], [9.411986, 9.664837, 9.696683, 10.119851, 10.671345, 10.853363, 11.317838, 12.244461, 12.565394, 37.038104], [48.254508, 49.277696, 50.360105, 50.727971, 52.606199, 55.853799, 58.523105, 58.786170, 61.731055, 239.733892], [4.690398, 4.731652, 4.748799, 4.891828, 4.975710, 5.154348, 5.415861, 5.560440, 5.647322, 51.737391], [38.114642, 38.909711, 39.701313, 40.145006, 41.709237, 44.072078, 46.189149, 46.746735, 48.970396, 176.141819], [2.889024, 2.949827, 3.005101, 3.048721, 3.231250, 3.332981, 3.459854, 3.543984, 3.686048, 32.730434]]
### 10
fourier: [[49.684322, 50.000254, 51.096574, 51.105886, 54.586376, 57.604814, 58.284141, 60.342375, 62.510147, 171.048033]]
## 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": [26.158881520287032, 28.173979712583456, 28.637163619978747, 29.375597321287586, 29.769791708114113, 32.58274438104937, 37.42467320197088, 40.32830942455062, 42.00926648240289, 116.05040788650513]}, "1": {"fourier": [23.772019884027138, 24.20079362877325, 24.209077655577772, 24.37407244951714, 26.748875550302913, 27.279208196414206, 27.991104862260144, 29.98077747563856, 32.56811755571782, 275.33118709921837]}, "2": {"fourier": [20.8299160259277, 23.757074838059008, 23.867391670107747, 24.87675122167817, 26.02890160090515, 26.61406618045264, 27.791354676021214, 28.614407241319114, 28.84413996980487, 203.60300415754318]}, "3": {"fourier": [28.803713070598064, 31.153875721677373, 31.228495276676338, 33.9884882708201, 34.017795517501256, 34.620888039674384, 39.374491033846056, 41.79972228259477, 42.34418413610225, 207.98942956328392]}, "4": {"fourier": [14.691192814962248, 16.154740244773507, 16.746604265588896, 17.617001376095086, 18.247948850193694, 18.253769618957236, 18.522420522247803, 23.054444770159794, 26.39958939555402, 54.63780525326729]}, "5": {"fourier": [17.328175806649163, 17.47071587456593, 18.338750569637202, 18.844727411866188, 19.285039345032736, 19.90186905571886, 20.772281294988602, 20.920826176818363, 22.40615842683794, 27.41872708659453]}, "6": {"fourier": [15.002609005707432, 15.104475876597649, 15.61333473078927, 17.128680442367457, 19.904659497130726, 20.862607734536834, 21.688690164383555, 21.99829623087364, 22.314200431108475, 24.038788002488797]}}, "layer_info": {"num_neurons": 7, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [15.509325613378502, 16.446632713963517, 16.48575957309468, 17.56239176446151, 17.671778243272783, 17.796216249337697, 18.026438915737568, 20.88239247564543, 22.992044220502365, 50.26146313548088]}, "1": {"fourier": [22.375257879056466, 22.630041752439773, 22.856373182538402, 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"2": {"fourier": [9.411985827008266, 9.664837198058382, 9.696682703434586, 10.119851208355046, 10.67134540222264, 10.853363322134122, 11.317837611531832, 12.244460680897408, 12.565394049375108, 37.038104206323624]}, "3": {"fourier": [48.254508100885495, 49.27769585458298, 50.36010451649284, 50.72797087884805, 52.60619904239287, 55.853799173370575, 58.523105105297624, 58.7861697962206, 61.73105455972827, 239.7338923495263]}, "4": {"fourier": [4.690397941251828, 4.731652358695156, 4.748799222576151, 4.891827635490927, 4.975710129443088, 5.154347686510747, 5.415860974279317, 5.560439558683633, 5.647321858192689, 51.73739147186279]}, "5": {"fourier": [38.11464236932728, 38.90971144057829, 39.70131270600536, 40.14500555299165, 41.709236737958925, 44.07207792013063, 46.18914916716732, 46.74673514362883, 48.97039567120931, 176.1418186277151]}, "6": {"fourier": [2.8890237823913125, 2.9498266475362254, 3.005100500066241, 3.04872129895753, 3.2312501173371704, 3.3329811092170827, 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|
{"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": [[0.897667, -0.143526, 0.365833, 0.070684, -0.424], [-0.103998, 0.242703, 0.413627, 0.534358, 0.319057], [-0.140448, 0.13956, -0.106529, 0.539982, 0.579805], [0.786527, 0.420276, 0.266808, 0.196448, -0.486548], [-0.485541, -0.221068, 0.258221, -0.250921, 0.176064], [-0.002752, 0.568723, -0.046334, -0.124852, -0.469757], [-0.565903, -0.043912, 0.15604, -0.293966, 0.321757]], "network.0.bias": [0.041061, 0.342974, 0.532201, 0.187841, 0.181523, -0.298409, 0.443928], "network.2.weight": [[-0.084899, 0.298539, 0.138118, -0.294676, 0.113978, -0.33616, 0.497217], [-0.179403, 0.250979, 0.387188, -0.331067, 0.315999, -0.239296, 0.480356], [-0.473817, 0.366357, 0.435964, -0.42363, 0.178571, -0.516496, 0.616954], [0.404577, 0.351945, 0.198051, 0.591748, -0.53305, 0.406302, -0.2493], [0.069851, -0.432179, -0.162184, -0.015544, -0.126796, -0.185493, 0.181118], [-0.267607, -0.145472, -0.337589, -0.109936, -0.262462, 0.042759, -0.457262], [-0.085836, -0.183702, -0.286525, -0.156218, 0.319468, 0.093289, 0.153591]], "network.2.bias": [0.081196, -0.110308, 0.390576, 0.332632, -0.286113, 0.205508, 0.491334], "network.4.weight": [[-0.348709, -0.468234, -0.592862, 0.59279, 0.040714, -0.189841, 0.565069], [-0.211064, -0.139989, 0.293062, -0.364826, -0.323512, -0.103303, -0.229911], [-0.050393, -0.052404, -0.265649, -0.372009, -0.090888, 0.230202, 0.347765], [-0.23918, -0.075609, -0.065609, 0.00126, 0.354532, -0.447115, 0.193162], [-0.365141, -0.064524, -0.273862, 0.161459, -0.05565, -0.071082, 0.487851], [0.055525, -0.091076, -0.133332, -0.264242, -0.242606, -0.319326, 0.263489], [-0.035684, -0.356805, 0.152781, -0.287067, 0.100774, -0.12191, 0.146161]], "network.4.bias": [0.35097, -0.350336, 0.064246, -0.498165, 0.193743, -0.212138, -0.287481], "network.6.weight": [[0.786201, 0.262667, 0.010996, -0.075799, 0.486505, -0.356185, -0.32826], [-0.158172, -0.173846, -0.345928, -0.348774, -0.291089, -0.172976, -0.299338], [0.709729, -0.218896, 0.298635, -0.160367, 0.247944, 0.258299, 0.359641], [0.70251, 0.001718, -0.263387, 0.391804, 0.384964, 0.245468, -0.316613], [-0.275955, 0.044069, 0.141875, 0.062755, 0.110945, 0.357661, -0.043007], [-0.16558, 0.002927, -0.268945, -0.314955, 0.129678, 0.272626, 0.240091], [0.616905, 0.131125, -0.156356, 0.3926, 0.069287, -0.170919, 0.278741]], "network.6.bias": [-0.043462, 0.311369, 0.05878, -0.046011, 0.518174, 0.219398, 0.165778], "network.8.weight": [[-0.015193, 0.327831, 0.182363, -0.089267, -0.162426, -0.260871, -0.348175], [-0.020506, 0.242758, -0.334663, -0.304398, 0.438957, 0.147997, 0.318704], [-0.146965, 0.074119, -0.128331, -0.183835, 0.514283, 0.498549, 0.159864], [0.35252, -0.621041, 0.708604, 0.618172, -0.490366, -0.13592, 0.577722], [-0.206735, -0.231636, -0.095487, 0.0229, 0.163688, -0.423977, 0.087736], [0.612551, -0.57935, 0.719974, 0.080098, -0.472777, -0.309533, 0.259121], [-0.113266, -0.233129, 0.041346, 0.245235, -0.15355, -0.440434, -0.447677]], "network.8.bias": [-0.365057, 0.548388, 0.626381, 0.013671, -0.249423, -0.01815, 0.093564], "network.10.weight": [[0.134046, 0.570529, 0.527182, -0.537921, -0.101072, -0.493744, -0.06532]], "network.10.bias": [0.063138]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6773319840431213, "train_acc": 0.58, "val_loss": 0.7008208632469177, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6602910757064819, "train_acc": 0.58, "val_loss": 0.6710861921310425, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6331743597984314, "train_acc": 0.58, "val_loss": 0.6267974972724915, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5923226773738861, "train_acc": 0.575, "val_loss": 0.566436231136322, "val_acc": 0.74}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5319413244724274, "train_acc": 0.775, "val_loss": 0.5288814306259155, "val_acc": 0.74}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4654280096292496, "train_acc": 0.77, "val_loss": 0.5626416206359863, "val_acc": 0.74}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47739897668361664, "train_acc": 0.765, "val_loss": 0.5635308623313904, "val_acc": 0.72}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.47449782490730286, "train_acc": 0.775, "val_loss": 0.4904038608074188, "val_acc": 0.76}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.44918330013751984, "train_acc": 0.78, "val_loss": 0.6245526671409607, "val_acc": 0.72}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.44049645960330963, "train_acc": 0.785, "val_loss": 0.729815661907196, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.4496437907218933, "train_acc": 0.78, "val_loss": 0.6302759051322937, "val_acc": 0.72}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["starts_with"], "degraded_stage": {"initial_val_loss": 0.7008208632469177, "final_val_loss": 0.6267974972724915, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.566436231136322, "final_val_loss": 0.6302759051322937, "initial_val_acc": 0.74, "final_val_acc": 0.72, "best_val_acc": 0.76, "best_epoch": 7}, "improvement": 0.3, "first_improvement_epoch": 2}}
|
383
|
{"target_pattern": "ends_with", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7265, "learning_rate": 0.03469157075130938, "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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## Activation Signature
### 0
fourier: [[16.994967, 17.296380, 17.364579, 18.255128, 18.641928, 18.896102, 19.532188, 23.829484, 29.323416, 187.377061], [16.163713, 16.519684, 17.100982, 17.886493, 17.932581, 20.321328, 20.861282, 21.931247, 22.126207, 44.508351], [30.077352, 30.249329, 31.595041, 32.078257, 33.562220, 33.741659, 35.072109, 40.245081, 40.807670, 97.411269], [14.637290, 14.672261, 15.067413, 17.180754, 17.307981, 17.577251, 18.848870, 19.017420, 20.854704, 47.475395], [18.203084, 20.192870, 22.531344, 25.237001, 25.711349, 26.220897, 30.758855, 32.189039, 34.059311, 153.805681], [24.406108, 25.293607, 25.333598, 29.633514, 32.469041, 32.871743, 34.216735, 35.075572, 40.437769, 230.665243], [15.493722, 16.233080, 16.455779, 16.791855, 17.676275, 17.877060, 18.373502, 18.862537, 20.697464, 104.519890]]
### 2
fourier: [[14.551587, 15.777404, 16.232904, 16.303984, 17.113413, 17.971170, 18.099379, 24.846158, 25.803686, 93.169779], [25.166711, 27.092192, 27.158222, 28.005165, 28.018338, 30.862191, 37.249948, 39.209680, 40.584889, 43.304310], [2.651749, 2.654420, 2.667725, 2.822728, 2.956824, 4.427089, 4.447191, 4.498843, 5.203724, 59.180504], [12.919138, 13.064557, 13.120111, 13.430062, 13.646596, 15.398143, 17.214588, 17.231284, 17.513792, 18.603506], [19.876258, 20.017414, 20.120807, 20.217132, 22.051420, 25.049673, 29.289726, 31.686952, 36.750034, 152.094305], [7.747697, 9.167224, 9.331329, 9.349785, 9.520293, 9.644018, 10.822874, 12.073212, 14.060550, 14.205307], [11.426404, 11.691012, 12.309998, 13.815446, 13.916275, 15.330619, 16.619065, 19.446997, 21.170384, 94.672674]]
### 4
fourier: [[25.262884, 26.029761, 30.637012, 30.708997, 30.793138, 33.083298, 38.859626, 40.630523, 45.043394, 48.641765], [13.892829, 14.078818, 14.203993, 17.400895, 17.841379, 18.465840, 21.324223, 21.933376, 23.103205, 23.121160], [1.394529, 1.608460, 1.837252, 1.888084, 1.893070, 1.955720, 1.964646, 2.178144, 2.533777, 32.020091], [19.615959, 19.944134, 21.074754, 23.292251, 23.448495, 26.144567, 28.724758, 32.752628, 34.911679, 85.042975], [3.643886, 3.668339, 3.718556, 3.807832, 3.955718, 4.415926, 4.638250, 4.644902, 4.650631, 71.160729], [13.516824, 13.824149, 14.373772, 16.286070, 17.334473, 18.472079, 20.090702, 21.118937, 22.116251, 22.508541], [6.913344, 7.296368, 7.398820, 7.815830, 8.060991, 8.109324, 8.342241, 8.495465, 9.084960, 88.394872]]
### 6
fourier: [[21.327096, 21.704797, 22.604568, 25.606702, 28.461523, 30.002874, 31.439431, 33.322448, 35.326716, 50.159805], [21.398930, 21.636452, 23.015346, 25.973330, 28.563350, 30.723780, 31.801924, 33.986528, 35.499905, 41.883408], [6.914532, 6.967250, 7.097884, 7.307857, 8.221709, 8.607688, 9.054655, 9.366709, 11.809744, 100.902712], [18.252221, 18.537781, 19.217104, 20.716183, 23.377356, 25.395204, 28.321132, 28.454468, 30.535482, 31.015502], [17.944348, 18.139019, 19.567539, 19.738790, 20.059928, 23.365426, 24.219295, 24.890181, 29.645723, 63.455895], [16.027576, 16.424765, 17.049226, 18.187068, 19.328249, 21.290670, 22.548220, 23.887428, 25.043576, 26.915398], [15.560669, 16.174917, 16.229772, 16.384661, 18.597333, 19.153373, 21.121323, 21.841296, 22.997335, 25.479068]]
### 8
fourier: [[17.742231, 17.839080, 18.186821, 20.182464, 22.118481, 22.629674, 27.526164, 27.812420, 30.308123, 31.611438], [21.379814, 21.436112, 21.837125, 24.413583, 26.520131, 26.690342, 33.373780, 33.439994, 36.661341, 37.828324], [26.660044, 28.158953, 31.592011, 32.549472, 33.314286, 42.269685, 45.250994, 46.005553, 47.884078, 91.571231], [16.348581, 16.693813, 16.884862, 18.888555, 20.777160, 21.247372, 25.560235, 25.969549, 28.054541, 29.266891], [13.228638, 13.466657, 13.875996, 15.637417, 16.686583, 17.501016, 19.401878, 20.413035, 23.045539, 36.329537], [30.198045, 31.375087, 35.584447, 36.878984, 37.818262, 47.821123, 51.310615, 51.362141, 53.764991, 147.009917], [19.964331, 20.503578, 23.527528, 23.602940, 24.845195, 31.487497, 33.631800, 34.119633, 35.661059, 103.733866]]
### 10
fourier: [[53.508245, 53.675972, 54.256464, 61.257665, 61.914712, 79.094195, 83.350748, 89.985506, 94.280746, 248.406860]]
## 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: [[16.994967, 17.296380, 17.364579, 18.255128, 18.641928, 18.896102, 19.532188, 23.829484, 29.323416, 187.377061], [16.163713, 16.519684, 17.100982, 17.886493, 17.932581, 20.321328, 20.861282, 21.931247, 22.126207, 44.508351], [30.077352, 30.249329, 31.595041, 32.078257, 33.562220, 33.741659, 35.072109, 40.245081, 40.807670, 97.411269], [14.637290, 14.672261, 15.067413, 17.180754, 17.307981, 17.577251, 18.848870, 19.017420, 20.854704, 47.475395], [18.203084, 20.192870, 22.531344, 25.237001, 25.711349, 26.220897, 30.758855, 32.189039, 34.059311, 153.805681], [24.406108, 25.293607, 25.333598, 29.633514, 32.469041, 32.871743, 34.216735, 35.075572, 40.437769, 230.665243], [15.493722, 16.233080, 16.455779, 16.791855, 17.676275, 17.877060, 18.373502, 18.862537, 20.697464, 104.519890]]
### 2
fourier: [[14.551587, 15.777404, 16.232904, 16.303984, 17.113413, 17.971170, 18.099379, 24.846158, 25.803686, 93.169779], [25.166711, 27.092192, 27.158222, 28.005165, 28.018338, 30.862191, 37.249948, 39.209680, 40.584889, 43.304310], [2.651749, 2.654420, 2.667725, 2.822728, 2.956824, 4.427089, 4.447191, 4.498843, 5.203724, 59.180504], [12.919138, 13.064557, 13.120111, 13.430062, 13.646596, 15.398143, 17.214588, 17.231284, 17.513792, 18.603506], [19.876258, 20.017414, 20.120807, 20.217132, 22.051420, 25.049673, 29.289726, 31.686952, 36.750034, 152.094305], [7.747697, 9.167224, 9.331329, 9.349785, 9.520293, 9.644018, 10.822874, 12.073212, 14.060550, 14.205307], [11.426404, 11.691012, 12.309998, 13.815446, 13.916275, 15.330619, 16.619065, 19.446997, 21.170384, 94.672674]]
### 4
fourier: [[25.262884, 26.029761, 30.637012, 30.708997, 30.793138, 33.083298, 38.859626, 40.630523, 45.043394, 48.641765], [13.892829, 14.078818, 14.203993, 17.400895, 17.841379, 18.465840, 21.324223, 21.933376, 23.103205, 23.121160], [1.394529, 1.608460, 1.837252, 1.888084, 1.893070, 1.955720, 1.964646, 2.178144, 2.533777, 32.020091], [19.615959, 19.944134, 21.074754, 23.292251, 23.448495, 26.144567, 28.724758, 32.752628, 34.911679, 85.042975], [3.643886, 3.668339, 3.718556, 3.807832, 3.955718, 4.415926, 4.638250, 4.644902, 4.650631, 71.160729], [13.516824, 13.824149, 14.373772, 16.286070, 17.334473, 18.472079, 20.090702, 21.118937, 22.116251, 22.508541], [6.913344, 7.296368, 7.398820, 7.815830, 8.060991, 8.109324, 8.342241, 8.495465, 9.084960, 88.394872]]
### 6
fourier: [[21.327096, 21.704797, 22.604568, 25.606702, 28.461523, 30.002874, 31.439431, 33.322448, 35.326716, 50.159805], [21.398930, 21.636452, 23.015346, 25.973330, 28.563350, 30.723780, 31.801924, 33.986528, 35.499905, 41.883408], [6.914532, 6.967250, 7.097884, 7.307857, 8.221709, 8.607688, 9.054655, 9.366709, 11.809744, 100.902712], [18.252221, 18.537781, 19.217104, 20.716183, 23.377356, 25.395204, 28.321132, 28.454468, 30.535482, 31.015502], [17.944348, 18.139019, 19.567539, 19.738790, 20.059928, 23.365426, 24.219295, 24.890181, 29.645723, 63.455895], [16.027576, 16.424765, 17.049226, 18.187068, 19.328249, 21.290670, 22.548220, 23.887428, 25.043576, 26.915398], [15.560669, 16.174917, 16.229772, 16.384661, 18.597333, 19.153373, 21.121323, 21.841296, 22.997335, 25.479068]]
### 8
fourier: [[17.742231, 17.839080, 18.186821, 20.182464, 22.118481, 22.629674, 27.526164, 27.812420, 30.308123, 31.611438], [21.379814, 21.436112, 21.837125, 24.413583, 26.520131, 26.690342, 33.373780, 33.439994, 36.661341, 37.828324], [26.660044, 28.158953, 31.592011, 32.549472, 33.314286, 42.269685, 45.250994, 46.005553, 47.884078, 91.571231], [16.348581, 16.693813, 16.884862, 18.888555, 20.777160, 21.247372, 25.560235, 25.969549, 28.054541, 29.266891], [13.228638, 13.466657, 13.875996, 15.637417, 16.686583, 17.501016, 19.401878, 20.413035, 23.045539, 36.329537], [30.198045, 31.375087, 35.584447, 36.878984, 37.818262, 47.821123, 51.310615, 51.362141, 53.764991, 147.009917], [19.964331, 20.503578, 23.527528, 23.602940, 24.845195, 31.487497, 33.631800, 34.119633, 35.661059, 103.733866]]
### 10
fourier: [[53.508245, 53.675972, 54.256464, 61.257665, 61.914712, 79.094195, 83.350748, 89.985506, 94.280746, 248.406860]]
## 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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.02616, -0.450129, -0.357856, 0.034772, -0.311635], [0.094773, -0.031645, 0.214979, 0.442365, -0.609019], [-0.767207, 0.065158, -0.048924, 0.426325, 0.839957], [0.415171, -0.009193, -0.128309, -0.273055, -0.332809], [0.146578, -0.137677, 0.320773, 0.067667, 0.682968], [-0.407922, -0.597691, -0.177882, 0.006902, -0.490073], [-0.109815, 0.24934, 0.243498, 0.276727, -0.454486]], "network.0.bias": [-0.236981, -0.212309, 0.070379, 0.236628, 0.119925, -0.004987, 0.302106], "network.2.weight": [[-0.249495, -0.243941, 0.099007, 0.362838, 0.593236, 0.20194, -0.028383], [-0.27244, 0.635179, -0.087121, -0.641361, -0.671053, -0.062675, 0.669486], [0.462733, 0.19845, 0.044685, 0.01391, -0.15806, 0.005635, -0.152505], [0.151565, 0.509447, -0.302715, -0.196296, 0.011186, -0.464022, 0.322003], [0.341, -0.233341, 0.556874, 0.378202, 0.459009, 0.298284, -0.234694], [-0.230051, 0.050918, -0.051829, -0.301961, -0.26303, 0.141331, 0.277055], [0.139383, -0.103505, 0.308412, 0.179611, 0.368256, -0.144033, 0.094312]], "network.2.bias": [0.070254, 0.53907, -0.394424, -0.170839, 0.572866, 0.165149, -0.049364], "network.4.weight": [[-0.357896, 0.544277, -0.296895, 0.370082, -0.605347, 0.154418, -0.246399], [0.215818, 0.674162, 0.014814, -0.080148, -0.231696, 0.284177, -0.399923], [-0.100435, 0.00216, -0.214359, 0.040208, 0.115923, 0.227027, -0.117602], [0.332459, -0.352146, -0.261184, -0.061397, 0.343793, -0.312322, 0.308525], [-0.010188, -0.322929, 0.370277, 0.197325, -0.214419, -0.130218, 0.172839], [-0.161793, 0.525828, -0.118093, -0.039728, -0.145852, 0.411918, -0.138298], [-0.049492, -0.263388, -0.035602, -0.277209, -0.341784, -0.145286, 0.024273]], "network.4.bias": [0.619977, -0.053528, -0.413393, 0.161142, -0.274123, 0.090298, -0.039516], "network.6.weight": [[-0.657054, -0.444084, -0.486565, 0.573576, -0.307797, -0.202927, -0.274912], [-0.66731, -0.218706, -0.161193, 0.601615, -0.261134, -0.398346, -0.398045], [0.453355, -0.174942, -0.29207, -0.054227, -0.542859, 0.264144, 0.040602], [-0.388728, -0.418053, -0.638444, 0.584345, -0.10997, -0.296823, -0.151437], [0.541845, 0.481205, 0.24807, -0.248744, -0.351049, 0.401027, -0.228464], [0.561861, 0.153788, 0.095343, -0.414493, 0.078781, 0.291598, -0.246594], [-0.156694, -0.532428, -0.195747, 0.322446, -0.449832, -0.513859, -0.239498]], "network.6.bias": [0.586605, 0.494902, 0.682208, 0.052141, 0.116616, 0.011754, 0.008472], "network.8.weight": [[0.613586, -0.086488, -0.270862, 0.117343, -0.120683, -0.52472, 0.320825], [-0.499463, -0.316125, 0.590572, -0.042804, 0.378927, 0.117476, -0.163447], [0.516612, 0.179821, -0.18279, 0.602343, -0.361853, -0.35433, 0.514709], [-0.227926, -0.400304, -0.112822, -0.080499, 0.547644, 0.129521, -0.069211], [-0.284203, -0.114165, 0.109574, 0.122373, 0.463248, 0.067687, -0.244233], [0.482149, 0.64191, 0.380972, 0.446847, -0.543448, -0.559773, 0.364824], [0.498775, 0.535297, 0.607964, 0.007911, -0.350199, -0.483086, 0.319498]], "network.8.bias": [0.132377, 0.077365, 0.425861, 0.173039, 0.262626, 0.50978, -0.006745], "network.10.weight": [[-0.484691, 0.376278, -0.650516, 0.253391, 0.232689, -0.633695, -0.505175]], "network.10.bias": [-0.091788]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6733384430408478, "train_acc": 0.595, "val_loss": 0.721647322177887, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6576265394687653, "train_acc": 0.595, "val_loss": 0.7023743987083435, "val_acc": 0.42}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6228779852390289, "train_acc": 0.595, "val_loss": 0.6317853331565857, "val_acc": 0.42}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5494539588689804, "train_acc": 0.61, "val_loss": 0.491880863904953, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.42521311342716217, "train_acc": 0.84, "val_loss": 0.4579782783985138, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.31643402576446533, "train_acc": 0.85, "val_loss": 0.3403068482875824, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.339469850063324, "train_acc": 0.86, "val_loss": 0.6262291669845581, "val_acc": 0.78}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.36482031643390656, "train_acc": 0.855, "val_loss": 0.3381970226764679, "val_acc": 0.86}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2881584092974663, "train_acc": 0.875, "val_loss": 0.3557310402393341, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3044469505548477, "train_acc": 0.865, "val_loss": 0.35771438479423523, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2990923821926117, "train_acc": 0.865, "val_loss": 0.3632965087890625, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["ends_with"], "degraded_stage": {"initial_val_loss": 0.721647322177887, "final_val_loss": 0.6317853331565857, "initial_val_acc": 0.42, "final_val_acc": 0.42, "best_val_acc": 0.42}, "improved_stage": {"initial_val_loss": 0.491880863904953, "final_val_loss": 0.3632965087890625, "initial_val_acc": 0.82, "final_val_acc": 0.84, "best_val_acc": 0.88, "best_epoch": 5}, "improvement": 0.46, "first_improvement_epoch": 2}}
|
384
|
{"target_pattern": "sorted_ascending", "degraded_accuracy": 0.56, "improved_accuracy": 0.96, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7824, "learning_rate": 0.059795942191376614, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
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[
-1.019571,
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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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"network.4.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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0.709684,
-0.410075,
0.892939
],
[
0.152023,
-0.503813,
0.466344,
-0.028092,
0.491031
],
[
-0.614255,
-0.422027,
-0.473114,
0.190176,
-0.724591
]
],
"network.6.bias": [
0.594602,
0.488919,
0.049478,
0.507966,
-0.562091
],
"network.8.weight": [
[
0.672718,
0.399294,
-0.391849,
-0.026111,
-0.050489
],
[
-0.430133,
-0.719402,
0.466924,
0.429379,
-0.148883
],
[
0.356776,
0.80137,
-0.345832,
-0.386801,
0.286595
],
[
0.330615,
0.812348,
-0.613418,
0.458665,
0.47284
],
[
-0.64436,
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0.321037,
-0.125797,
0.951219
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"network.8.bias": [
0.423447,
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0.052649,
0.11015
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"network.10.weight": [
[
-0.834511,
0.543069,
-0.505048,
-0.583414,
-0.063801
]
],
"network.10.bias": [
0.136395
]
}
## Activation Signature
### 0
fourier: [[38.412055, 39.562210, 43.316992, 43.602333, 44.315989, 47.096981, 56.115386, 59.533719, 59.873097, 438.507163], [35.252992, 35.489647, 40.493271, 41.198686, 44.644040, 46.980014, 52.418319, 52.562279, 58.123828, 464.041959], [22.815291, 23.575296, 24.971365, 29.461630, 32.066460, 33.011573, 33.397627, 41.946095, 44.599623, 119.669265], [43.621374, 45.732656, 46.873887, 48.838236, 49.808115, 50.813520, 55.082976, 58.281978, 64.002847, 160.960325], [39.592882, 41.961542, 42.219252, 43.855607, 44.611656, 45.771764, 46.376139, 57.081033, 59.089929, 311.022933]]
### 2
fourier: [[28.647139, 30.378584, 31.210810, 31.686169, 31.922114, 32.484921, 33.140009, 41.194622, 41.583167, 229.005259], [6.977816, 7.321586, 7.388976, 7.849893, 9.684946, 10.797415, 10.863274, 11.115361, 11.821861, 11.966252], [40.027233, 40.550707, 42.950574, 44.576518, 47.080952, 49.244351, 51.689829, 54.689081, 60.201316, 193.652747], [11.774899, 11.999826, 12.034104, 12.610071, 13.608131, 14.177035, 14.742137, 15.150150, 15.843406, 21.882725], [5.346894, 5.486390, 5.728707, 5.758797, 7.328803, 7.686108, 8.199374, 8.382074, 9.084782, 10.235778]]
### 4
fourier: [[15.688184, 16.220381, 16.275461, 16.949340, 17.897106, 18.064794, 18.470521, 21.330688, 21.944466, 59.498102], [28.445820, 28.866948, 30.301441, 30.561738, 31.613537, 31.674842, 32.339043, 40.394188, 40.970159, 227.281232], [25.859068, 28.896924, 29.441124, 29.481882, 30.724278, 31.322176, 32.992769, 36.606191, 39.472138, 124.538933], [4.139129, 4.217257, 4.265769, 4.274560, 4.361037, 5.134959, 5.720963, 6.053557, 7.016448, 18.123194], [22.279779, 23.732455, 23.915841, 24.816561, 25.133740, 25.732798, 28.829981, 28.951670, 32.373193, 89.787082]]
### 6
fourier: [[16.452928, 16.830860, 17.102867, 17.989759, 20.912456, 21.413470, 21.578066, 22.051195, 33.445098, 63.733632], [26.348875, 26.674613, 28.851857, 30.038479, 30.213786, 31.747733, 32.495833, 37.838440, 41.426681, 168.208248], [21.667927, 22.612500, 24.685804, 26.199858, 27.115767, 28.159720, 28.805367, 32.090891, 40.769740, 69.245166], [19.785333, 20.044627, 21.159907, 21.748646, 22.280541, 23.122587, 24.980756, 28.226025, 30.050270, 52.604440], [12.052322, 13.975736, 14.123399, 14.215395, 14.603459, 15.325111, 15.425911, 17.081225, 22.204147, 167.234821]]
### 8
fourier: [[16.880602, 17.172192, 17.631204, 19.506784, 20.029449, 20.829401, 21.839026, 22.216197, 29.637778, 155.133832], [25.530576, 25.717855, 27.443464, 29.624604, 30.697233, 31.734719, 32.528271, 34.352857, 44.746520, 133.773995], [25.019608, 25.786889, 26.983447, 28.663236, 29.147162, 30.503152, 33.005293, 33.835034, 41.653118, 223.375468], [21.428865, 22.877223, 23.074138, 23.157353, 24.308553, 25.063289, 29.373914, 29.451986, 32.000583, 170.053724], [4.519980, 4.558654, 5.054833, 5.909534, 6.103997, 6.328977, 6.763827, 7.614105, 11.330619, 16.338770]]
### 10
fourier: [[39.846446, 40.575400, 41.034732, 42.981160, 43.279052, 45.534263, 50.032712, 53.624616, 62.091370, 326.417833]]
## 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: 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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],
[
-0.453668,
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],
[
-1.019571,
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0.559254
],
[
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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": [
0.148234,
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],
"network.4.weight": [
[
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],
[
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],
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]
],
"network.4.bias": [
0.039423,
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],
"network.6.weight": [
[
-0.597381,
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],
[
-0.609331,
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],
[
0.383301,
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],
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0.152023,
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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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0.429379,
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],
[
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],
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"network.8.bias": [
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0.11015
],
"network.10.weight": [
[
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]
],
"network.10.bias": [
0.136395
]
}
## Activation Signature
### 0
fourier: [[38.412055, 39.562210, 43.316992, 43.602333, 44.315989, 47.096981, 56.115386, 59.533719, 59.873097, 438.507163], [35.252992, 35.489647, 40.493271, 41.198686, 44.644040, 46.980014, 52.418319, 52.562279, 58.123828, 464.041959], [22.815291, 23.575296, 24.971365, 29.461630, 32.066460, 33.011573, 33.397627, 41.946095, 44.599623, 119.669265], [43.621374, 45.732656, 46.873887, 48.838236, 49.808115, 50.813520, 55.082976, 58.281978, 64.002847, 160.960325], [39.592882, 41.961542, 42.219252, 43.855607, 44.611656, 45.771764, 46.376139, 57.081033, 59.089929, 311.022933]]
### 2
fourier: [[28.647139, 30.378584, 31.210810, 31.686169, 31.922114, 32.484921, 33.140009, 41.194622, 41.583167, 229.005259], [6.977816, 7.321586, 7.388976, 7.849893, 9.684946, 10.797415, 10.863274, 11.115361, 11.821861, 11.966252], [40.027233, 40.550707, 42.950574, 44.576518, 47.080952, 49.244351, 51.689829, 54.689081, 60.201316, 193.652747], [11.774899, 11.999826, 12.034104, 12.610071, 13.608131, 14.177035, 14.742137, 15.150150, 15.843406, 21.882725], [5.346894, 5.486390, 5.728707, 5.758797, 7.328803, 7.686108, 8.199374, 8.382074, 9.084782, 10.235778]]
### 4
fourier: [[15.688184, 16.220381, 16.275461, 16.949340, 17.897106, 18.064794, 18.470521, 21.330688, 21.944466, 59.498102], [28.445820, 28.866948, 30.301441, 30.561738, 31.613537, 31.674842, 32.339043, 40.394188, 40.970159, 227.281232], [25.859068, 28.896924, 29.441124, 29.481882, 30.724278, 31.322176, 32.992769, 36.606191, 39.472138, 124.538933], [4.139129, 4.217257, 4.265769, 4.274560, 4.361037, 5.134959, 5.720963, 6.053557, 7.016448, 18.123194], [22.279779, 23.732455, 23.915841, 24.816561, 25.133740, 25.732798, 28.829981, 28.951670, 32.373193, 89.787082]]
### 6
fourier: [[16.452928, 16.830860, 17.102867, 17.989759, 20.912456, 21.413470, 21.578066, 22.051195, 33.445098, 63.733632], [26.348875, 26.674613, 28.851857, 30.038479, 30.213786, 31.747733, 32.495833, 37.838440, 41.426681, 168.208248], [21.667927, 22.612500, 24.685804, 26.199858, 27.115767, 28.159720, 28.805367, 32.090891, 40.769740, 69.245166], [19.785333, 20.044627, 21.159907, 21.748646, 22.280541, 23.122587, 24.980756, 28.226025, 30.050270, 52.604440], [12.052322, 13.975736, 14.123399, 14.215395, 14.603459, 15.325111, 15.425911, 17.081225, 22.204147, 167.234821]]
### 8
fourier: [[16.880602, 17.172192, 17.631204, 19.506784, 20.029449, 20.829401, 21.839026, 22.216197, 29.637778, 155.133832], [25.530576, 25.717855, 27.443464, 29.624604, 30.697233, 31.734719, 32.528271, 34.352857, 44.746520, 133.773995], [25.019608, 25.786889, 26.983447, 28.663236, 29.147162, 30.503152, 33.005293, 33.835034, 41.653118, 223.375468], [21.428865, 22.877223, 23.074138, 23.157353, 24.308553, 25.063289, 29.373914, 29.451986, 32.000583, 170.053724], [4.519980, 4.558654, 5.054833, 5.909534, 6.103997, 6.328977, 6.763827, 7.614105, 11.330619, 16.338770]]
### 10
fourier: [[39.846446, 40.575400, 41.034732, 42.981160, 43.279052, 45.534263, 50.032712, 53.624616, 62.091370, 326.417833]]
## 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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22.216196715649478, 29.637777976409684, 155.13383185863495]}, "1": {"fourier": [25.530575765729132, 25.717854825375987, 27.443464294178273, 29.624604344268388, 30.69723338019264, 31.73471901706523, 32.52827132616654, 34.35285728749208, 44.74651973757376, 133.77399450540543]}, "2": {"fourier": [25.01960787207114, 25.78688946817502, 26.983447150632454, 28.663235929829636, 29.14716208997702, 30.503152450446372, 33.005293061610615, 33.8350335494987, 41.653118140702944, 223.3754677772522]}, "3": {"fourier": [21.428865151674824, 22.87722285356592, 23.074138487080038, 23.157352966296344, 24.308552542289387, 25.063289279542524, 29.373913937043007, 29.451986379453462, 32.00058309787449, 170.05372402071953]}, "4": {"fourier": [4.519980337256453, 4.558654216697494, 5.054832853786968, 5.909533814633536, 6.103997257132174, 6.32897707403857, 6.763827471154498, 7.614105446263796, 11.330619080051317, 16.338770285248756]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "10": {"neuron_profiles": {"0": {"fourier": [39.84644639545423, 40.57540004455557, 41.03473226661813, 42.98115952240485, 43.279052466114564, 45.534262540368395, 50.032711775137955, 53.62461581782041, 62.091369760017244, 326.4178330898285]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.193132, -0.699406, -0.338069, -0.337159, -1.080054], [-0.226025, -0.466293, -0.452886, -0.568796, -0.867537], [-0.453668, -0.603659, 0.065352, -0.391778, 0.541199], [-1.019571, -0.804258, -0.48286, 0.268444, 0.559254], [0.856653, 1.004497, 0.084837, 0.149583, 0.094847]], "network.0.bias": [-0.596212, -0.789315, 0.371061, 0.689118, -0.055629], "network.2.weight": [[-0.202162, -0.090864, 0.086308, -0.114518, 0.706451], [0.704379, 0.380817, 0.35984, -0.53769, 0.106676], [-0.660076, -0.342524, 0.273657, 0.695587, -0.901304], [0.130748, -0.172786, -0.919489, -0.706595, -0.036052], [0.06542, -0.196705, 0.184625, -0.485048, 0.059577]], "network.2.bias": [0.148234, -0.180617, 0.588619, 0.330033, -0.103717], "network.4.weight": [[-0.337805, -0.102052, 0.750314, 0.116365, -0.440487], [0.8827, 0.047813, -0.307018, 0.572399, 0.415668], [-0.738412, -0.253603, 0.719605, -0.078845, -0.537439], [-0.132428, 0.576046, -0.55797, -0.098811, 0.156192], [-0.577851, -0.19121, 0.797266, -0.146259, -0.252851]], "network.4.bias": [0.039423, 0.353473, 0.351729, 0.17092, 0.300764], "network.6.weight": [[-0.597381, 0.16544, -0.943556, 0.285965, -0.579008], [-0.609331, 0.641981, -0.420473, -0.059246, -0.702024], [0.383301, -0.449741, 0.709684, -0.410075, 0.892939], [0.152023, -0.503813, 0.466344, -0.028092, 0.491031], [-0.614255, -0.422027, -0.473114, 0.190176, -0.724591]], "network.6.bias": [0.594602, 0.488919, 0.049478, 0.507966, -0.562091], "network.8.weight": [[0.672718, 0.399294, -0.391849, -0.026111, -0.050489], [-0.430133, -0.719402, 0.466924, 0.429379, -0.148883], [0.356776, 0.80137, -0.345832, -0.386801, 0.286595], [0.330615, 0.812348, -0.613418, 0.458665, 0.47284], [-0.64436, 0.144861, 0.321037, -0.125797, 0.951219]], "network.8.bias": [0.423447, 0.113445, 0.740913, 0.052649, 0.11015], "network.10.weight": [[-0.834511, 0.543069, -0.505048, -0.583414, -0.063801]], "network.10.bias": [0.136395]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6748054325580597, "train_acc": 0.575, "val_loss": 0.6827883124351501, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6268250942230225, "train_acc": 0.575, "val_loss": 0.5920792818069458, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5097309350967407, "train_acc": 0.705, "val_loss": 0.3759043216705322, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.3369184136390686, "train_acc": 0.88, "val_loss": 0.32196465134620667, "val_acc": 0.88}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.32568715512752533, "train_acc": 0.87, "val_loss": 0.24229343235492706, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.2614450827240944, "train_acc": 0.9, "val_loss": 0.22108124196529388, "val_acc": 0.92}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.27587245404720306, "train_acc": 0.91, "val_loss": 0.18507596850395203, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.21997085213661194, "train_acc": 0.895, "val_loss": 0.1797976940870285, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.21774782240390778, "train_acc": 0.905, "val_loss": 0.1562458872795105, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21518901735544205, "train_acc": 0.915, "val_loss": 0.1564149111509323, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.22361700981855392, "train_acc": 0.925, "val_loss": 0.1703052520751953, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.2268454134464264, "train_acc": 0.915, "val_loss": 0.16821064054965973, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_ascending"], "degraded_stage": {"initial_val_loss": 0.6827883124351501, "final_val_loss": 0.5920792818069458, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.3759043216705322, "final_val_loss": 0.16821064054965973, "initial_val_acc": 0.82, "final_val_acc": 0.94, "best_val_acc": 0.96, "best_epoch": 8}, "improvement": 0.3999999999999999, "first_improvement_epoch": 1}}
|
385
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8518, "learning_rate": 0.05421186260375421, "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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[
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"network.0.bias": [
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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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}
## Activation Signature
### 0
fourier: [[3.319391, 3.941654, 4.026418, 4.167052, 4.236921, 4.656920, 4.899809, 4.928231, 5.215898, 13.467713], [25.670099, 27.357592, 28.240960, 28.539706, 30.735414, 34.065843, 36.576667, 36.636349, 37.264887, 137.396084], [31.947708, 32.337250, 34.085269, 34.133456, 38.044797, 40.626745, 43.084990, 43.556149, 59.574396, 151.556537], [21.191975, 21.264462, 24.384020, 24.811059, 26.879648, 28.316869, 30.593838, 30.792643, 32.893538, 50.440597], [22.381152, 23.299546, 24.007438, 27.969044, 29.825248, 29.902082, 31.998682, 36.089900, 38.102529, 44.966969], [25.058884, 25.071162, 25.257879, 29.205021, 31.902588, 33.478932, 34.857492, 37.308519, 42.830569, 320.101402]]
### 2
fourier: [[25.744047, 26.839618, 28.457394, 32.328509, 33.226762, 33.551369, 33.876406, 35.849226, 45.662306, 71.750965], [62.045150, 75.178596, 84.594693, 84.609206, 85.994821, 86.242358, 87.069648, 92.904458, 111.296820, 427.659048], [16.181460, 16.708208, 16.859433, 17.749297, 18.087753, 18.426474, 18.977208, 20.866389, 22.344800, 40.372389], [11.633356, 11.961586, 12.190645, 13.475707, 14.355272, 16.118846, 16.139114, 17.410578, 19.139361, 150.023273], [11.347635, 12.166001, 14.380718, 15.446780, 15.619373, 16.301318, 16.412507, 16.491668, 21.739269, 26.100516], [21.466201, 22.602243, 23.885047, 27.539503, 27.803741, 28.113489, 28.446416, 29.942351, 36.697148, 44.346935]]
### 4
fourier: [[6.709734, 6.857103, 7.209514, 7.834965, 7.906518, 8.386862, 9.653313, 10.777219, 11.253384, 18.463208], [29.828422, 34.248285, 34.367426, 34.428409, 34.751770, 39.186269, 40.332250, 41.188324, 45.795408, 161.219768], [17.926540, 20.734997, 21.497233, 21.623759, 22.226852, 25.044428, 25.254779, 26.343565, 29.417723, 161.842930], [10.149667, 10.363646, 10.434065, 11.598918, 12.718817, 13.313537, 13.373612, 14.054882, 16.455540, 48.405868], [40.556875, 47.299091, 47.699305, 48.271917, 50.182554, 52.164692, 56.165105, 56.653183, 65.083022, 283.034781], [25.003400, 27.578157, 28.709020, 28.957941, 29.082521, 31.360321, 33.588084, 33.682521, 37.963916, 209.108339]]
### 6
fourier: [[6.710458, 7.463532, 7.705435, 7.771483, 7.829173, 7.910519, 9.088748, 9.227916, 10.316254, 90.290695], [74.946515, 87.113577, 87.634739, 89.111441, 92.333434, 96.552933, 102.409561, 105.756300, 118.650330, 497.836457], [46.584094, 51.982114, 53.259495, 54.160340, 55.680781, 59.150954, 63.696950, 64.502718, 72.315975, 310.518667], [35.351902, 40.340455, 41.200632, 41.436673, 43.229509, 45.769122, 48.541804, 49.639800, 55.320426, 220.887164], [3.007788, 3.284928, 3.335059, 3.547130, 3.754044, 4.213028, 4.724723, 4.749862, 4.888117, 5.127507], [28.203995, 30.450486, 31.741431, 33.419579, 33.949063, 36.685405, 38.942402, 39.359264, 43.496089, 148.027882]]
### 8
fourier: [[95.282696, 110.444325, 112.371415, 113.945349, 118.602864, 122.251506, 130.018913, 136.705167, 151.302883, 570.145545]]
## 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:
{
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],
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0.077173,
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],
[
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0.150101,
0.258779
],
[
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0.177,
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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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[
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}
## Activation Signature
### 0
fourier: [[3.319391, 3.941654, 4.026418, 4.167052, 4.236921, 4.656920, 4.899809, 4.928231, 5.215898, 13.467713], [25.670099, 27.357592, 28.240960, 28.539706, 30.735414, 34.065843, 36.576667, 36.636349, 37.264887, 137.396084], [31.947708, 32.337250, 34.085269, 34.133456, 38.044797, 40.626745, 43.084990, 43.556149, 59.574396, 151.556537], [21.191975, 21.264462, 24.384020, 24.811059, 26.879648, 28.316869, 30.593838, 30.792643, 32.893538, 50.440597], [22.381152, 23.299546, 24.007438, 27.969044, 29.825248, 29.902082, 31.998682, 36.089900, 38.102529, 44.966969], [25.058884, 25.071162, 25.257879, 29.205021, 31.902588, 33.478932, 34.857492, 37.308519, 42.830569, 320.101402]]
### 2
fourier: [[25.744047, 26.839618, 28.457394, 32.328509, 33.226762, 33.551369, 33.876406, 35.849226, 45.662306, 71.750965], [62.045150, 75.178596, 84.594693, 84.609206, 85.994821, 86.242358, 87.069648, 92.904458, 111.296820, 427.659048], [16.181460, 16.708208, 16.859433, 17.749297, 18.087753, 18.426474, 18.977208, 20.866389, 22.344800, 40.372389], [11.633356, 11.961586, 12.190645, 13.475707, 14.355272, 16.118846, 16.139114, 17.410578, 19.139361, 150.023273], [11.347635, 12.166001, 14.380718, 15.446780, 15.619373, 16.301318, 16.412507, 16.491668, 21.739269, 26.100516], [21.466201, 22.602243, 23.885047, 27.539503, 27.803741, 28.113489, 28.446416, 29.942351, 36.697148, 44.346935]]
### 4
fourier: [[6.709734, 6.857103, 7.209514, 7.834965, 7.906518, 8.386862, 9.653313, 10.777219, 11.253384, 18.463208], [29.828422, 34.248285, 34.367426, 34.428409, 34.751770, 39.186269, 40.332250, 41.188324, 45.795408, 161.219768], [17.926540, 20.734997, 21.497233, 21.623759, 22.226852, 25.044428, 25.254779, 26.343565, 29.417723, 161.842930], [10.149667, 10.363646, 10.434065, 11.598918, 12.718817, 13.313537, 13.373612, 14.054882, 16.455540, 48.405868], [40.556875, 47.299091, 47.699305, 48.271917, 50.182554, 52.164692, 56.165105, 56.653183, 65.083022, 283.034781], [25.003400, 27.578157, 28.709020, 28.957941, 29.082521, 31.360321, 33.588084, 33.682521, 37.963916, 209.108339]]
### 6
fourier: [[6.710458, 7.463532, 7.705435, 7.771483, 7.829173, 7.910519, 9.088748, 9.227916, 10.316254, 90.290695], [74.946515, 87.113577, 87.634739, 89.111441, 92.333434, 96.552933, 102.409561, 105.756300, 118.650330, 497.836457], [46.584094, 51.982114, 53.259495, 54.160340, 55.680781, 59.150954, 63.696950, 64.502718, 72.315975, 310.518667], [35.351902, 40.340455, 41.200632, 41.436673, 43.229509, 45.769122, 48.541804, 49.639800, 55.320426, 220.887164], [3.007788, 3.284928, 3.335059, 3.547130, 3.754044, 4.213028, 4.724723, 4.749862, 4.888117, 5.127507], [28.203995, 30.450486, 31.741431, 33.419579, 33.949063, 36.685405, 38.942402, 39.359264, 43.496089, 148.027882]]
### 8
fourier: [[95.282696, 110.444325, 112.371415, 113.945349, 118.602864, 122.251506, 130.018913, 136.705167, 151.302883, 570.145545]]
## 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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18.426474409752835, 18.977207981902282, 20.86638911243737, 22.344800238086062, 40.372389286756516]}, "3": {"fourier": [11.633355599535472, 11.961586327806588, 12.190645470820627, 13.475707446695546, 14.355272458584627, 16.118845727884516, 16.139113612368803, 17.410578073421586, 19.13936126716313, 150.02327272295952]}, "4": {"fourier": [11.347634827859354, 12.166000504900648, 14.380717696094711, 15.446779933298, 15.619372655844863, 16.301318448047066, 16.41250746926907, 16.491667742754807, 21.73926854820228, 26.100516110658646]}, "5": {"fourier": [21.466201205312796, 22.602242630154375, 23.885046749840964, 27.539503213428127, 27.80374100385464, 28.113488801552673, 28.44641595955159, 29.942351073865247, 36.69714844296945, 44.34693478420377]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [6.709734187388726, 6.857102950240529, 7.209513520040594, 7.834965430778616, 7.906517821923028, 8.386862011031653, 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"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": [[0.03204, -0.089106, -0.056034, 0.118681, 0.045763], [0.717008, 0.412969, 0.132269, 0.077173, -0.622464], [1.220279, -0.538894, -0.064079, 0.150101, 0.258779], [0.907226, -0.049946, -0.345475, 0.177, -0.22363], [0.968494, -0.147582, -0.02791, -0.27816, -0.06904], [0.299263, 0.397592, 0.224685, 0.464173, 0.458589]], "network.0.bias": [0.078243, 0.207743, 0.640185, 0.140373, -0.051574, 0.429438], "network.2.weight": [[0.031195, -0.348993, -0.70495, -0.324187, 0.109626, 0.349223], [-0.087341, 0.646895, 0.955017, 0.847911, 0.556652, 0.154371], [-0.03798, -0.543211, 0.097217, -0.013265, -0.272609, 0.035523], [-0.048312, 0.145631, -0.109492, 0.217383, 0.022767, -0.484347], [0.096066, 0.333957, 0.628054, -0.151429, -0.296294, -0.315845], [-0.277487, -0.498186, -0.674211, -0.135153, 0.233342, 0.407713]], "network.2.bias": [-0.023684, 0.353889, 0.363657, -0.195616, -0.505215, 0.053941], "network.4.weight": [[0.608808, 0.034459, -0.232698, 0.08997, 0.376787, 0.526239], [-0.014665, 0.478317, -0.291619, -0.810933, -0.74333, -0.4334], [0.121487, -0.329217, 0.08205, 0.173174, 0.485199, -0.570629], [-0.205761, -0.120363, 0.055782, -0.244985, -0.305977, -0.061909], [-0.183032, 0.650474, 0.314014, -0.749524, -0.855715, -0.674805], [-0.354792, 0.433877, 0.030109, -0.16222, -0.985485, -0.081843]], "network.4.bias": [-0.238907, -0.266261, -0.204638, 0.104591, 0.337974, 0.517161], "network.6.weight": [[-0.043502, 0.191042, 0.763594, 0.403179, -0.19339, -0.18513], [-0.296574, 0.781652, -0.204508, 0.477718, 0.905715, 0.614067], [-0.456185, 0.402728, 0.09822, 0.020134, 0.644874, 0.314868], [-0.252818, 0.505377, -0.525654, 0.432528, 0.352394, 0.263161], [-0.213243, 0.372328, -0.087866, 0.020252, -0.152415, -0.044682], [0.444509, -0.444037, -0.441568, -0.861356, -0.31913, -0.075436]], "network.6.bias": [-0.211622, 0.058792, 0.155703, -0.083828, -0.036321, 0.097499], "network.8.weight": [[0.052889, -0.669124, -0.663728, -0.416966, -0.060909, 0.25924]], "network.8.bias": [0.636037]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7158060371875763, "train_acc": 0.46, "val_loss": 0.6891612410545349, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.693803071975708, "train_acc": 0.48, "val_loss": 0.6605615019798279, "val_acc": 0.56}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6702494919300079, "train_acc": 0.54, "val_loss": 0.6225990056991577, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6652175188064575, "train_acc": 0.485, "val_loss": 0.5716937780380249, "val_acc": 0.76}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5987179279327393, "train_acc": 0.745, "val_loss": 0.5737147331237793, "val_acc": 0.64}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5833223760128021, "train_acc": 0.67, "val_loss": 0.4883725643157959, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.5121475011110306, "train_acc": 0.745, "val_loss": 0.5343227386474609, "val_acc": 0.68}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.4635075628757477, "train_acc": 0.81, "val_loss": 0.35100510716438293, "val_acc": 0.8}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.38242699205875397, "train_acc": 0.86, "val_loss": 0.3679042160511017, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.37336860597133636, "train_acc": 0.855, "val_loss": 0.36098915338516235, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.33603741228580475, "train_acc": 0.845, "val_loss": 0.44995835423469543, "val_acc": 0.84}], "summary": {"total_epochs": 11, "degraded_epochs": 3, "improved_epochs": 8, "patterns": ["no_repeats"], "degraded_stage": {"initial_val_loss": 0.6891612410545349, "final_val_loss": 0.6225990056991577, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5716937780380249, "final_val_loss": 0.44995835423469543, "initial_val_acc": 0.76, "final_val_acc": 0.84, "best_val_acc": 0.84, "best_epoch": 8}, "improvement": 0.2799999999999999, "first_improvement_epoch": 2}}
|
386
|
{"target_pattern": "alternating", "degraded_accuracy": 0.54, "improved_accuracy": 0.96, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3762, "learning_rate": 0.019540566869631973, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.014759,
0.299541,
-0.008332,
0.44566,
-0.023305
],
[
0.697026,
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0.109407,
0.007436,
0.11604
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## Activation Signature
### 0
fourier: [[14.737853, 15.559887, 15.855213, 15.930804, 17.974514, 18.372929, 20.341815, 20.802792, 25.470295, 137.530984], [18.972803, 19.495571, 19.928495, 20.834772, 20.948519, 22.176686, 22.218273, 27.933889, 33.051506, 38.806513], [23.141550, 26.621580, 27.993482, 28.522977, 28.583855, 29.630731, 31.125696, 36.657917, 45.168137, 213.576988], [29.178731, 34.456808, 36.841658, 37.196995, 38.735036, 42.484703, 44.060178, 54.611508, 55.568905, 252.339569], [16.490027, 16.801583, 16.980254, 16.999947, 17.122818, 18.261267, 18.469177, 19.355211, 19.508173, 148.379348], [22.429008, 24.065833, 25.088615, 25.298502, 25.651644, 28.347378, 29.438328, 29.443432, 29.942227, 36.203658], [30.427115, 30.452179, 34.362754, 38.638587, 38.790981, 43.114573, 44.756580, 48.499369, 52.381856, 119.301964]]
### 2
fourier: [[12.845748, 13.136822, 13.440926, 13.800177, 14.459954, 15.118951, 17.678911, 18.496967, 19.925945, 125.054393], [12.682962, 13.660839, 14.251303, 14.511981, 14.721264, 17.543723, 18.384842, 20.914109, 22.747750, 137.708435], [8.085246, 8.789648, 9.197427, 9.258578, 9.492744, 9.508880, 9.530080, 9.753077, 12.708087, 70.902352], [22.997535, 26.126779, 27.632080, 28.172832, 30.929811, 32.147269, 32.568259, 37.680077, 45.174816, 157.157378], [9.449052, 9.625115, 9.631528, 10.206035, 10.663440, 11.323279, 11.737796, 11.869078, 12.097493, 117.114019], [12.475886, 12.846311, 13.295793, 13.496478, 13.554061, 13.880329, 14.166942, 14.732197, 18.659781, 99.416934], [9.684107, 10.230059, 10.644818, 10.970378, 11.129267, 11.199798, 11.898481, 12.373069, 13.058697, 62.383665]]
### 4
fourier: [[19.520477, 19.561961, 20.248210, 25.014355, 25.529260, 29.461807, 30.177032, 30.311999, 31.020047, 203.893227], [9.353956, 9.524834, 10.167135, 10.186021, 10.516349, 10.878427, 11.089619, 11.911957, 16.359169, 17.534244], [6.663043, 6.723995, 7.026109, 7.341407, 8.187536, 8.373723, 8.591270, 8.882499, 11.027432, 91.564479], [7.807149, 9.505318, 10.053701, 10.187007, 11.002321, 12.337062, 13.184448, 13.607009, 14.785926, 108.382512], [11.477831, 11.828602, 12.092923, 12.385966, 12.916293, 13.720474, 14.652358, 15.525871, 23.017050, 23.027873], [6.025713, 6.904048, 7.938202, 7.968911, 8.512159, 8.764232, 9.533199, 9.731406, 11.249677, 87.987324], [10.000719, 10.032741, 10.732637, 10.894532, 11.130647, 11.472757, 13.349225, 13.487481, 13.744572, 28.677963]]
### 6
fourier: [[9.724911, 10.654200, 11.456379, 12.865398, 12.932884, 14.272938, 15.489233, 15.549489, 17.992064, 120.955105], [6.466349, 6.512570, 6.711216, 6.762078, 7.067268, 7.219613, 7.391735, 8.132659, 9.314402, 10.726549], [8.773330, 8.974723, 9.264746, 9.653628, 10.528331, 10.706525, 11.078110, 11.224889, 12.421588, 76.627699], [8.807297, 9.093618, 10.096090, 10.443440, 10.603097, 10.960463, 10.999376, 11.150012, 14.256316, 90.670912], [8.138653, 8.185064, 8.304042, 9.762967, 9.770076, 10.433940, 10.750720, 11.104909, 11.340432, 13.939769], [3.233057, 3.736202, 3.848057, 4.303580, 4.761564, 5.217860, 5.481089, 5.780411, 5.907476, 41.341980], [11.187474, 11.478846, 13.255756, 13.658182, 14.786160, 15.221124, 15.521776, 15.982678, 16.310432, 112.166428]]
### 8
fourier: [[14.053153, 14.181862, 14.224444, 14.255868, 15.468425, 15.512139, 17.350335, 17.671367, 19.147541, 78.037865]]
## 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[14.737853, 15.559887, 15.855213, 15.930804, 17.974514, 18.372929, 20.341815, 20.802792, 25.470295, 137.530984], [18.972803, 19.495571, 19.928495, 20.834772, 20.948519, 22.176686, 22.218273, 27.933889, 33.051506, 38.806513], [23.141550, 26.621580, 27.993482, 28.522977, 28.583855, 29.630731, 31.125696, 36.657917, 45.168137, 213.576988], [29.178731, 34.456808, 36.841658, 37.196995, 38.735036, 42.484703, 44.060178, 54.611508, 55.568905, 252.339569], [16.490027, 16.801583, 16.980254, 16.999947, 17.122818, 18.261267, 18.469177, 19.355211, 19.508173, 148.379348], [22.429008, 24.065833, 25.088615, 25.298502, 25.651644, 28.347378, 29.438328, 29.443432, 29.942227, 36.203658], [30.427115, 30.452179, 34.362754, 38.638587, 38.790981, 43.114573, 44.756580, 48.499369, 52.381856, 119.301964]]
### 2
fourier: [[12.845748, 13.136822, 13.440926, 13.800177, 14.459954, 15.118951, 17.678911, 18.496967, 19.925945, 125.054393], [12.682962, 13.660839, 14.251303, 14.511981, 14.721264, 17.543723, 18.384842, 20.914109, 22.747750, 137.708435], [8.085246, 8.789648, 9.197427, 9.258578, 9.492744, 9.508880, 9.530080, 9.753077, 12.708087, 70.902352], [22.997535, 26.126779, 27.632080, 28.172832, 30.929811, 32.147269, 32.568259, 37.680077, 45.174816, 157.157378], [9.449052, 9.625115, 9.631528, 10.206035, 10.663440, 11.323279, 11.737796, 11.869078, 12.097493, 117.114019], [12.475886, 12.846311, 13.295793, 13.496478, 13.554061, 13.880329, 14.166942, 14.732197, 18.659781, 99.416934], [9.684107, 10.230059, 10.644818, 10.970378, 11.129267, 11.199798, 11.898481, 12.373069, 13.058697, 62.383665]]
### 4
fourier: [[19.520477, 19.561961, 20.248210, 25.014355, 25.529260, 29.461807, 30.177032, 30.311999, 31.020047, 203.893227], [9.353956, 9.524834, 10.167135, 10.186021, 10.516349, 10.878427, 11.089619, 11.911957, 16.359169, 17.534244], [6.663043, 6.723995, 7.026109, 7.341407, 8.187536, 8.373723, 8.591270, 8.882499, 11.027432, 91.564479], [7.807149, 9.505318, 10.053701, 10.187007, 11.002321, 12.337062, 13.184448, 13.607009, 14.785926, 108.382512], [11.477831, 11.828602, 12.092923, 12.385966, 12.916293, 13.720474, 14.652358, 15.525871, 23.017050, 23.027873], [6.025713, 6.904048, 7.938202, 7.968911, 8.512159, 8.764232, 9.533199, 9.731406, 11.249677, 87.987324], [10.000719, 10.032741, 10.732637, 10.894532, 11.130647, 11.472757, 13.349225, 13.487481, 13.744572, 28.677963]]
### 6
fourier: [[9.724911, 10.654200, 11.456379, 12.865398, 12.932884, 14.272938, 15.489233, 15.549489, 17.992064, 120.955105], [6.466349, 6.512570, 6.711216, 6.762078, 7.067268, 7.219613, 7.391735, 8.132659, 9.314402, 10.726549], [8.773330, 8.974723, 9.264746, 9.653628, 10.528331, 10.706525, 11.078110, 11.224889, 12.421588, 76.627699], [8.807297, 9.093618, 10.096090, 10.443440, 10.603097, 10.960463, 10.999376, 11.150012, 14.256316, 90.670912], [8.138653, 8.185064, 8.304042, 9.762967, 9.770076, 10.433940, 10.750720, 11.104909, 11.340432, 13.939769], [3.233057, 3.736202, 3.848057, 4.303580, 4.761564, 5.217860, 5.481089, 5.780411, 5.907476, 41.341980], [11.187474, 11.478846, 13.255756, 13.658182, 14.786160, 15.221124, 15.521776, 15.982678, 16.310432, 112.166428]]
### 8
fourier: [[14.053153, 14.181862, 14.224444, 14.255868, 15.468425, 15.512139, 17.350335, 17.671367, 19.147541, 78.037865]]
## 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": [14.7378530384066, 15.559886723740778, 15.855212831864545, 15.930804060879852, 17.974513963827295, 18.372928833717143, 20.341815430184102, 20.80279244449062, 25.470295294861586, 137.53098419867456]}, "1": {"fourier": [18.972803106446793, 19.495571247253054, 19.928495438925417, 20.834772057507546, 20.94851903009543, 22.17668576312328, 22.218272541118203, 27.933889099292728, 33.05150628424458, 38.806512850263964]}, "2": {"fourier": [23.141549985888624, 26.62158024928558, 27.993481926860984, 28.52297723169434, 28.583855346489962, 29.630730757403082, 31.12569629224989, 36.657916512180606, 45.16813702579648, 213.57698790729046]}, "3": {"fourier": [29.178731163679146, 34.456807538272884, 36.8416584008332, 37.19699514272484, 38.73503624600277, 42.48470305125893, 44.06017845419409, 54.61150806378046, 55.568904577383805, 252.3395691215992]}, "4": {"fourier": [16.490027458842587, 16.801583431755432, 16.980254087892575, 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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": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.014759, 0.299541, -0.008332, 0.44566, -0.023305], [0.697026, -0.699626, 0.109407, 0.007436, 0.11604], [0.239998, 0.241908, 0.703585, -0.087658, 0.365297], [0.590829, -0.476313, 0.593606, 0.243867, 0.749469], [-0.346961, -0.227498, -0.183756, 0.022789, -0.00835], [-0.631798, -0.336884, 0.325154, 0.414098, 0.347527], [-0.644181, 0.098436, -0.443278, 0.383958, -0.698786]], "network.0.bias": [0.054379, 0.082592, -0.098662, 0.249184, -0.45706, -0.19346, 0.261116], "network.2.weight": [[0.083536, -0.268663, 0.462411, -0.077347, -0.188296, 0.537163, -0.338924], [-0.312509, -0.377007, -0.051329, -0.247795, 0.080027, 0.293398, -0.081188], [-0.032902, 0.412824, -0.15102, -0.170684, 0.338616, -0.12642, 0.041805], [-0.293353, 0.584185, 0.175237, 0.497879, 0.078166, -0.208044, 0.151395], [-0.289703, -0.201045, -0.38289, 0.230106, 0.283436, -0.342101, 0.268849], [0.189774, -0.164674, 0.477337, -0.125154, -0.027713, 0.263564, -0.405769], [0.169922, -0.404022, -0.245902, 0.373699, -0.12982, 0.235089, -0.205665]], "network.2.bias": [0.175834, -0.22633, -0.043423, 0.128959, -0.261683, 0.036168, 0.059878], "network.4.weight": [[0.593209, -0.269967, -0.013325, 0.498972, -0.195425, 0.238046, 0.272974], [-0.018096, -0.115822, -0.184481, 0.379409, -0.312365, -0.468, -0.469496], [-0.276169, -0.040583, 0.109268, 0.038027, 0.030753, -0.118351, -0.320879], [-0.105277, 0.301401, 0.2092, -0.245485, 0.183673, -0.321236, 0.080989], [-0.374695, 0.2581, -0.29483, 0.534077, -0.359574, 0.013576, -0.32218], [-0.043773, -0.164692, -0.221855, -0.186535, 0.372159, -0.294806, 0.161891], [-0.364321, 0.136147, -0.561865, -0.027543, -0.243844, -0.34711, -0.132646]], "network.4.bias": [0.095254, 0.3278, -0.339316, -0.321992, -0.326624, -0.370351, 0.723771], "network.6.weight": [[-0.372989, -0.316072, -0.168573, 0.147867, -0.35906, -0.129946, -0.28636], [0.069026, 0.283611, -0.320021, -0.376805, 0.406924, 0.15986, 0.099703], [0.428305, -0.457392, -0.287017, -0.172528, -0.100949, -0.068098, -0.09801], [0.405317, -0.305326, -0.222355, 0.020364, -0.473338, -0.062308, -0.535479], [0.098221, 0.167724, 0.028811, -0.194136, 0.640798, -0.017528, -0.148093], [-0.101709, -0.068253, -0.159072, 0.153908, -0.118261, 0.020579, 0.259041], [0.586891, 0.043196, -0.149381, 0.213567, -0.447767, -0.241372, -0.396361]], "network.6.bias": [-0.221497, -0.403467, 0.088914, 0.447614, -0.443409, -0.218806, 0.120362], "network.8.weight": [[-0.106912, 0.501212, -0.368291, -0.545931, 0.512805, -0.240475, -0.28499]], "network.8.bias": [0.166613]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7036715149879456, "train_acc": 0.42, "val_loss": 0.6928054094314575, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6938422918319702, "train_acc": 0.51, "val_loss": 0.6860644817352295, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6803940832614899, "train_acc": 0.595, "val_loss": 0.6787341237068176, "val_acc": 0.52}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6635600328445435, "train_acc": 0.615, "val_loss": 0.6641689538955688, "val_acc": 0.54}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6349956691265106, "train_acc": 0.63, "val_loss": 0.6424210071563721, "val_acc": 0.54}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6159767508506775, "train_acc": 0.615, "val_loss": 0.5947055816650391, "val_acc": 0.64}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5609547793865204, "train_acc": 0.67, "val_loss": 0.5352914929389954, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.4979524463415146, "train_acc": 0.685, "val_loss": 0.4652576148509979, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.4350298196077347, "train_acc": 0.895, "val_loss": 0.3942229747772217, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.3603416681289673, "train_acc": 0.94, "val_loss": 0.3399578928947449, "val_acc": 0.96}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.3135538548231125, "train_acc": 0.955, "val_loss": 0.29774144291877747, "val_acc": 0.96}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.28589077293872833, "train_acc": 0.96, "val_loss": 0.26640528440475464, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.24533862620592117, "train_acc": 0.955, "val_loss": 0.2522841989994049, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.24126135557889938, "train_acc": 0.96, "val_loss": 0.24129027128219604, "val_acc": 0.96}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.22448483109474182, "train_acc": 0.965, "val_loss": 0.23408176004886627, "val_acc": 0.96}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["alternating"], "degraded_stage": {"initial_val_loss": 0.6928054094314575, "final_val_loss": 0.6424210071563721, "initial_val_acc": 0.5, "final_val_acc": 0.54, "best_val_acc": 0.54}, "improved_stage": {"initial_val_loss": 0.5947055816650391, "final_val_loss": 0.23408176004886627, "initial_val_acc": 0.64, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.41999999999999993, "first_improvement_epoch": 4}}
|
387
|
{"target_pattern": "contains_abc", "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2835, "learning_rate": 0.08236081521420141, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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[
1.409304,
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],
[
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0.166317,
-0.631294,
-0.168026
],
[
-1.082503,
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0.061089
],
[
-0.920883,
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],
[
0.875257,
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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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],
[
0.338876,
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],
[
0.779905,
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]
],
"network.2.bias": [
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1.083306,
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],
"network.4.weight": [
[
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],
[
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1.014441,
0.152204,
0.533703
],
[
-0.210553,
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1.215655,
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],
[
0.0411,
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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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"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": [
-0.152298
]
}
## Activation Signature
### 0
fourier: [[46.145686, 51.585157, 55.263661, 59.296557, 60.988588, 61.597042, 62.327213, 70.402121, 71.299290, 387.322611], [20.295770, 20.399687, 20.701785, 21.033526, 22.521972, 24.871469, 26.417184, 28.745234, 36.051069, 187.779152], [34.862773, 34.922380, 35.986449, 36.275435, 36.413044, 36.805568, 37.037936, 37.322303, 39.921369, 102.646482], [44.946069, 48.373147, 49.199331, 50.977354, 52.543661, 54.308612, 54.537511, 54.777861, 62.723014, 379.170639], [28.083986, 29.165988, 29.871139, 30.590633, 31.380610, 31.829084, 32.842236, 33.124480, 34.523600, 58.281879]]
### 2
fourier: [[21.873153, 24.178200, 26.240853, 28.397890, 29.472795, 29.502621, 30.529930, 33.287831, 33.552205, 223.669663], [18.578698, 20.825782, 21.059353, 22.126558, 22.820736, 23.269306, 25.102732, 25.108110, 25.932571, 106.694495], [39.180736, 47.634059, 48.829095, 52.283659, 54.130335, 54.996843, 55.558997, 62.791962, 63.143184, 211.432081], [22.698917, 22.840698, 23.060643, 24.230928, 24.434390, 24.585795, 25.054331, 27.280119, 29.505114, 137.612050], [38.068065, 45.751426, 48.975470, 49.979362, 53.098126, 53.668195, 56.210140, 59.249928, 60.298715, 297.773863]]
### 4
fourier: [[14.297886, 14.462344, 15.397523, 15.509562, 16.224553, 17.598506, 17.622484, 18.726253, 19.689198, 52.556070], [26.112081, 26.325971, 29.027850, 29.038461, 29.206917, 30.013882, 31.967295, 32.219364, 34.231725, 145.487285], [8.076383, 8.399603, 9.222698, 9.261019, 9.310421, 11.531177, 11.674191, 11.853668, 13.168095, 39.288406], [21.739390, 22.246236, 25.236729, 25.554406, 28.876414, 30.867990, 31.736824, 33.955282, 36.810852, 148.078032], [18.678389, 21.844014, 23.330187, 23.554802, 25.647014, 26.086307, 26.943488, 27.644928, 28.450126, 153.161296]]
### 6
fourier: [[14.514315, 15.330552, 16.061342, 16.210601, 18.918698, 20.778086, 22.736440, 24.400186, 25.795316, 60.758756], [21.884834, 23.815623, 24.984774, 25.748241, 25.788071, 26.983777, 27.312034, 27.867048, 28.716549, 138.302744], [16.163398, 16.721581, 17.033542, 18.172194, 20.962020, 22.918781, 24.843824, 26.647264, 28.145413, 68.142540], [12.977257, 13.012390, 13.463836, 15.970847, 16.451936, 17.802010, 19.120484, 20.906413, 22.048484, 44.019183], [22.237498, 23.542101, 24.829726, 25.312579, 26.452725, 27.046078, 29.625718, 32.251241, 34.205299, 147.797508]]
### 8
fourier: [[12.551022, 12.770616, 13.219089, 13.833885, 14.074468, 14.110313, 14.768070, 15.501330, 16.454880, 98.190403], [36.250910, 36.915598, 38.346758, 38.852813, 38.893757, 40.441839, 41.583642, 49.450361, 53.281032, 165.300911], [7.506304, 8.600126, 8.648762, 8.652397, 8.944418, 9.473862, 10.520044, 11.925414, 12.623295, 50.779995], [15.094224, 15.212009, 16.944605, 16.985777, 17.109678, 17.259538, 20.197216, 22.875042, 24.244456, 26.458286], [46.529398, 48.669378, 48.856271, 49.494941, 50.613621, 52.499988, 54.886600, 65.276872, 70.161015, 256.303436]]
### 10
fourier: [[61.716177, 62.351747, 65.424450, 66.335767, 66.576110, 68.334069, 74.231771, 87.341226, 91.453273, 327.794105]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.409304,
0.343141,
0.565899,
0.510113,
-0.137669
],
[
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0.166317,
-0.631294,
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],
[
-1.082503,
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0.409324,
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0.061089
],
[
-0.920883,
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],
[
0.875257,
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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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],
[
0.338876,
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0.420286,
0.141049
],
[
0.779905,
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]
],
"network.2.bias": [
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1.083306,
0.070911,
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],
"network.4.weight": [
[
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0.155271,
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],
[
0.841473,
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1.014441,
0.152204,
0.533703
],
[
-0.210553,
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1.215655,
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],
[
0.0411,
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1.275951,
0.606723,
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],
[
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]
],
"network.4.bias": [
0.655473,
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-0.126121
],
"network.6.weight": [
[
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],
[
-0.266713,
0.823015,
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0.060765
],
[
0.746214,
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],
[
0.784485,
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],
[
-0.580119,
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0.665063,
1.07361
]
],
"network.6.bias": [
0.354234,
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0.401463,
0.360327,
0.261597
],
"network.8.weight": [
[
0.008011,
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0.155362,
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],
[
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0.445748
],
[
0.219042,
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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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0.162988,
0.781807,
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]
],
"network.10.bias": [
-0.152298
]
}
## Activation Signature
### 0
fourier: [[46.145686, 51.585157, 55.263661, 59.296557, 60.988588, 61.597042, 62.327213, 70.402121, 71.299290, 387.322611], [20.295770, 20.399687, 20.701785, 21.033526, 22.521972, 24.871469, 26.417184, 28.745234, 36.051069, 187.779152], [34.862773, 34.922380, 35.986449, 36.275435, 36.413044, 36.805568, 37.037936, 37.322303, 39.921369, 102.646482], [44.946069, 48.373147, 49.199331, 50.977354, 52.543661, 54.308612, 54.537511, 54.777861, 62.723014, 379.170639], [28.083986, 29.165988, 29.871139, 30.590633, 31.380610, 31.829084, 32.842236, 33.124480, 34.523600, 58.281879]]
### 2
fourier: [[21.873153, 24.178200, 26.240853, 28.397890, 29.472795, 29.502621, 30.529930, 33.287831, 33.552205, 223.669663], [18.578698, 20.825782, 21.059353, 22.126558, 22.820736, 23.269306, 25.102732, 25.108110, 25.932571, 106.694495], [39.180736, 47.634059, 48.829095, 52.283659, 54.130335, 54.996843, 55.558997, 62.791962, 63.143184, 211.432081], [22.698917, 22.840698, 23.060643, 24.230928, 24.434390, 24.585795, 25.054331, 27.280119, 29.505114, 137.612050], [38.068065, 45.751426, 48.975470, 49.979362, 53.098126, 53.668195, 56.210140, 59.249928, 60.298715, 297.773863]]
### 4
fourier: [[14.297886, 14.462344, 15.397523, 15.509562, 16.224553, 17.598506, 17.622484, 18.726253, 19.689198, 52.556070], [26.112081, 26.325971, 29.027850, 29.038461, 29.206917, 30.013882, 31.967295, 32.219364, 34.231725, 145.487285], [8.076383, 8.399603, 9.222698, 9.261019, 9.310421, 11.531177, 11.674191, 11.853668, 13.168095, 39.288406], [21.739390, 22.246236, 25.236729, 25.554406, 28.876414, 30.867990, 31.736824, 33.955282, 36.810852, 148.078032], [18.678389, 21.844014, 23.330187, 23.554802, 25.647014, 26.086307, 26.943488, 27.644928, 28.450126, 153.161296]]
### 6
fourier: [[14.514315, 15.330552, 16.061342, 16.210601, 18.918698, 20.778086, 22.736440, 24.400186, 25.795316, 60.758756], [21.884834, 23.815623, 24.984774, 25.748241, 25.788071, 26.983777, 27.312034, 27.867048, 28.716549, 138.302744], [16.163398, 16.721581, 17.033542, 18.172194, 20.962020, 22.918781, 24.843824, 26.647264, 28.145413, 68.142540], [12.977257, 13.012390, 13.463836, 15.970847, 16.451936, 17.802010, 19.120484, 20.906413, 22.048484, 44.019183], [22.237498, 23.542101, 24.829726, 25.312579, 26.452725, 27.046078, 29.625718, 32.251241, 34.205299, 147.797508]]
### 8
fourier: [[12.551022, 12.770616, 13.219089, 13.833885, 14.074468, 14.110313, 14.768070, 15.501330, 16.454880, 98.190403], [36.250910, 36.915598, 38.346758, 38.852813, 38.893757, 40.441839, 41.583642, 49.450361, 53.281032, 165.300911], [7.506304, 8.600126, 8.648762, 8.652397, 8.944418, 9.473862, 10.520044, 11.925414, 12.623295, 50.779995], [15.094224, 15.212009, 16.944605, 16.985777, 17.109678, 17.259538, 20.197216, 22.875042, 24.244456, 26.458286], [46.529398, 48.669378, 48.856271, 49.494941, 50.613621, 52.499988, 54.886600, 65.276872, 70.161015, 256.303436]]
### 10
fourier: [[61.716177, 62.351747, 65.424450, 66.335767, 66.576110, 68.334069, 74.231771, 87.341226, 91.453273, 327.794105]]
## 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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{"neuron_profiles": {"0": {"fourier": [61.71617669712255, 62.35174659159309, 65.42445039612068, 66.33576720850523, 66.57610960428325, 68.33406916265349, 74.23177089228585, 87.34122566749932, 91.4532730433047, 327.7941047549248]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.409304, 0.343141, 0.565899, 0.510113, -0.137669], [-0.174045, -0.306909, 0.166317, -0.631294, -0.168026], [-1.082503, -0.339323, 0.409324, -0.21074, 0.061089], [-0.920883, -0.685349, -0.649527, -0.135691, -0.081989], [0.875257, 0.311759, -0.132078, 0.17234, -0.268456]], "network.0.bias": [-0.181712, -0.097, 0.346463, -0.06927, -0.772309], "network.2.weight": [[-0.486609, -0.429245, -0.12573, 0.197146, 0.032221], [-0.262173, -0.11602, -0.003374, -0.20235, -0.259234], [-0.617146, -0.568855, -0.999132, -0.087948, -0.594953], [0.338876, -0.112099, -0.532813, 0.420286, 0.141049], [0.779905, 0.223661, 0.21036, 0.048708, 0.187614]], "network.2.bias": [-0.40724, 0.180645, 1.083306, 0.070911, -0.258406], "network.4.weight": [[-0.576548, 0.155271, -0.997689, -0.264756, -0.224196], [0.841473, 0.194359, 1.014441, 0.152204, 0.533703], [-0.210553, -0.144463, 1.215655, 0.677289, -0.387049], [0.0411, 0.180776, 1.275951, 0.606723, -0.750301], [0.446191, -0.499661, 0.161881, 0.446481, -0.684466]], "network.4.bias": [0.655473, -0.444067, -0.348585, -0.230955, -0.126121], "network.6.weight": [[0.409658, -0.645151, -0.508829, -1.137792, -0.962022], [-0.266713, 0.823015, -0.414482, -0.017337, 0.060765], [0.746214, -0.702906, -1.064029, -1.292594, -0.450353], [0.784485, -0.505208, -0.729473, -1.421846, -0.70497], [-0.580119, 0.898713, 0.063513, 0.665063, 1.07361]], "network.6.bias": [0.354234, 0.255825, 0.401463, 0.360327, 0.261597], "network.8.weight": [[0.008011, -0.441735, 0.155362, -0.040221, -0.083575], [-0.38743, 0.918181, -0.987084, -0.662807, 0.445748], [0.219042, 0.092057, 0.332961, -0.254129, -0.412432], [0.812754, 0.042713, 0.7599, 0.775317, -0.434405], [-0.851428, 0.752905, -0.929472, -0.972859, 0.9792]], "network.8.bias": [-0.327314, 0.018209, -0.069886, 0.421818, 0.491837], "network.10.weight": [[-0.084986, -0.774234, 0.162988, 0.781807, -0.727231]], "network.10.bias": [-0.152298]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6818449795246124, "train_acc": 0.58, "val_loss": 0.7144284248352051, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782210171222687, "train_acc": 0.58, "val_loss": 0.7088154554367065, "val_acc": 0.46}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6704919636249542, "train_acc": 0.58, "val_loss": 0.6554115414619446, "val_acc": 0.46}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6284151971340179, "train_acc": 0.56, "val_loss": 0.6221557855606079, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.6099504679441452, "train_acc": 0.67, "val_loss": 0.5822713971138, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5327800810337067, "train_acc": 0.715, "val_loss": 0.4235221743583679, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.3989805281162262, "train_acc": 0.835, "val_loss": 0.345750629901886, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.39777491986751556, "train_acc": 0.835, "val_loss": 0.2848832905292511, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.33641932904720306, "train_acc": 0.845, "val_loss": 0.2311183512210846, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3020219951868057, "train_acc": 0.865, "val_loss": 0.1572834998369217, "val_acc": 0.96}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2379641979932785, "train_acc": 0.9, "val_loss": 0.14629091322422028, "val_acc": 0.96}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.1809757575392723, "train_acc": 0.935, "val_loss": 0.19562597572803497, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.14716488495469093, "train_acc": 0.945, "val_loss": 0.15503625571727753, "val_acc": 0.96}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.7144284248352051, "final_val_loss": 0.6554115414619446, "initial_val_acc": 0.46, "final_val_acc": 0.46, "best_val_acc": 0.46}, "improved_stage": {"initial_val_loss": 0.6221557855606079, "final_val_loss": 0.15503625571727753, "initial_val_acc": 0.7, "final_val_acc": 0.96, "best_val_acc": 0.96, "best_epoch": 9}, "improvement": 0.49999999999999994, "first_improvement_epoch": 2}}
|
388
|
{"target_pattern": "no_repeats", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6394, "learning_rate": 0.015957050425361184, "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: 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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"network.10.weight": [
[
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],
"network.10.bias": [
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]
}
## Activation Signature
### 0
fourier: [[18.868062, 19.063264, 19.094161, 19.327467, 20.557850, 20.856457, 21.334508, 21.991876, 22.799989, 175.416613], [10.931936, 11.493369, 12.042257, 12.172725, 13.183612, 13.245440, 13.498566, 16.154141, 16.284408, 16.584147], [15.485002, 16.202852, 17.197574, 18.270798, 18.531136, 19.356091, 20.911490, 21.394848, 24.618163, 40.721924], [19.810315, 20.158018, 21.951635, 22.440546, 22.447029, 23.545054, 24.553267, 25.500367, 25.711256, 53.419190], [22.391731, 22.884623, 24.516694, 24.776196, 25.414565, 26.236195, 27.595601, 31.081228, 32.460386, 178.829138], [27.755602, 29.353378, 29.652408, 29.728585, 30.398649, 30.804969, 32.143506, 35.237303, 35.810753, 246.551594], [7.706485, 7.999647, 8.195473, 8.592510, 10.121312, 10.529522, 10.697579, 11.680180, 12.132640, 16.578095], [19.755469, 19.825725, 21.984889, 22.644964, 22.688348, 23.383616, 27.728092, 28.063630, 28.341737, 83.406116]]
### 2
fourier: [[8.254457, 8.502676, 8.671375, 9.165120, 10.070590, 10.644154, 10.846735, 11.017472, 11.738313, 82.386333], [10.446508, 11.386685, 11.614872, 12.705305, 12.851216, 14.392510, 15.229622, 16.014067, 16.970457, 106.900138], [22.987016, 23.735628, 24.560289, 25.873094, 27.643027, 29.878814, 30.070029, 31.219813, 32.525285, 146.573775], [26.107421, 26.713581, 27.411449, 28.655661, 28.940990, 31.224532, 32.838488, 34.895701, 35.407703, 274.167404], [18.228600, 18.290667, 19.922470, 22.746404, 22.902268, 23.645852, 24.988286, 25.363252, 30.083154, 104.540246], [11.992374, 12.447484, 12.552764, 12.902166, 13.108942, 13.494599, 14.165169, 14.909278, 16.975808, 124.285308], [27.136351, 28.698541, 30.506854, 31.481939, 32.165344, 34.872387, 37.774528, 37.869884, 38.032350, 275.060245], [9.433896, 9.572430, 10.123372, 10.677033, 11.001350, 11.470870, 12.000939, 13.385310, 13.998097, 96.560123]]
### 4
fourier: [[4.919301, 4.977293, 5.488520, 5.518474, 6.057901, 6.401045, 6.532957, 6.826660, 6.941042, 8.614470], [12.610039, 13.251248, 13.269916, 14.742862, 15.015104, 15.233754, 16.807149, 17.357581, 17.583203, 158.710179], [8.471330, 8.757474, 8.765775, 9.497053, 10.029472, 11.965165, 11.971962, 11.979799, 12.395545, 13.328579], [42.668831, 44.155074, 45.767809, 45.845349, 46.007031, 46.490394, 47.548768, 50.061860, 56.154921, 351.079113], [18.443176, 18.643252, 19.387692, 19.509025, 20.199514, 20.472578, 20.534870, 21.439289, 23.947359, 172.386251], [28.446469, 28.526149, 28.596626, 28.661305, 28.754507, 29.430811, 31.586070, 31.978806, 35.793153, 205.924150], [11.936411, 12.067518, 12.351582, 12.737829, 12.977663, 13.073555, 13.728658, 13.897409, 15.444148, 128.507207], [8.426130, 8.881448, 9.137928, 9.701045, 10.388682, 10.427112, 10.871602, 11.884333, 11.922202, 97.165657]]
### 6
fourier: [[7.906886, 7.991255, 8.021959, 8.130545, 8.298748, 8.613458, 9.691065, 10.013679, 10.063915, 73.416251], [17.918555, 18.583062, 19.337353, 19.602074, 20.263100, 20.293905, 21.151219, 23.283422, 23.698268, 132.192818], [20.748093, 21.422965, 22.699790, 23.414256, 23.473729, 24.440930, 25.491178, 27.265686, 27.829590, 161.774677], [36.697721, 38.222597, 40.276719, 40.343166, 41.620069, 41.635458, 43.711016, 46.973376, 49.410444, 262.685549], [13.478814, 14.613806, 15.100300, 16.127871, 16.282553, 17.234420, 17.307843, 18.571844, 19.418165, 118.434339], [0.949012, 0.953451, 0.969933, 0.974690, 0.999776, 1.038056, 1.166390, 1.166995, 1.213138, 17.586737], [4.148257, 4.334203, 4.615833, 4.718789, 4.975797, 5.074861, 5.087086, 5.301065, 5.306283, 69.086394], [14.400436, 14.639503, 14.653087, 15.183765, 15.675269, 15.863840, 16.258042, 16.635112, 18.465465, 122.712309]]
### 8
fourier: [[1.472254, 1.506463, 1.591829, 1.597373, 1.635177, 1.638045, 1.739639, 1.865487, 1.953399, 35.501320], [31.185551, 32.290692, 34.286544, 34.617382, 35.245666, 35.975086, 37.789772, 40.527358, 41.888198, 236.848277], [15.524182, 16.089722, 17.032558, 17.076797, 17.500163, 17.592720, 18.564588, 19.822324, 20.898545, 114.087544], [1.391929, 1.426921, 1.427509, 1.477650, 1.502176, 1.609043, 1.614553, 1.627054, 1.922786, 37.488383], [41.048710, 42.680522, 45.237693, 45.546857, 46.603164, 47.375781, 49.655668, 53.432108, 55.230287, 328.766171], [4.044357, 4.066271, 4.380513, 4.419758, 4.537586, 4.663015, 5.038340, 5.107255, 5.443681, 39.507746], [1.314252, 1.350574, 1.428318, 1.461880, 1.531457, 1.589118, 1.660021, 1.679442, 1.804181, 40.297572], [16.467286, 16.914844, 17.838725, 17.865771, 18.292353, 18.354888, 19.409331, 20.817278, 21.917348, 120.381986]]
### 10
fourier: [[26.723478, 27.725246, 29.413938, 29.658385, 30.267620, 30.834738, 32.356166, 34.755563, 35.923836, 180.405264]]
## 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: 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: [[18.868062, 19.063264, 19.094161, 19.327467, 20.557850, 20.856457, 21.334508, 21.991876, 22.799989, 175.416613], [10.931936, 11.493369, 12.042257, 12.172725, 13.183612, 13.245440, 13.498566, 16.154141, 16.284408, 16.584147], [15.485002, 16.202852, 17.197574, 18.270798, 18.531136, 19.356091, 20.911490, 21.394848, 24.618163, 40.721924], [19.810315, 20.158018, 21.951635, 22.440546, 22.447029, 23.545054, 24.553267, 25.500367, 25.711256, 53.419190], [22.391731, 22.884623, 24.516694, 24.776196, 25.414565, 26.236195, 27.595601, 31.081228, 32.460386, 178.829138], [27.755602, 29.353378, 29.652408, 29.728585, 30.398649, 30.804969, 32.143506, 35.237303, 35.810753, 246.551594], [7.706485, 7.999647, 8.195473, 8.592510, 10.121312, 10.529522, 10.697579, 11.680180, 12.132640, 16.578095], [19.755469, 19.825725, 21.984889, 22.644964, 22.688348, 23.383616, 27.728092, 28.063630, 28.341737, 83.406116]]
### 2
fourier: [[8.254457, 8.502676, 8.671375, 9.165120, 10.070590, 10.644154, 10.846735, 11.017472, 11.738313, 82.386333], [10.446508, 11.386685, 11.614872, 12.705305, 12.851216, 14.392510, 15.229622, 16.014067, 16.970457, 106.900138], [22.987016, 23.735628, 24.560289, 25.873094, 27.643027, 29.878814, 30.070029, 31.219813, 32.525285, 146.573775], [26.107421, 26.713581, 27.411449, 28.655661, 28.940990, 31.224532, 32.838488, 34.895701, 35.407703, 274.167404], [18.228600, 18.290667, 19.922470, 22.746404, 22.902268, 23.645852, 24.988286, 25.363252, 30.083154, 104.540246], [11.992374, 12.447484, 12.552764, 12.902166, 13.108942, 13.494599, 14.165169, 14.909278, 16.975808, 124.285308], [27.136351, 28.698541, 30.506854, 31.481939, 32.165344, 34.872387, 37.774528, 37.869884, 38.032350, 275.060245], [9.433896, 9.572430, 10.123372, 10.677033, 11.001350, 11.470870, 12.000939, 13.385310, 13.998097, 96.560123]]
### 4
fourier: [[4.919301, 4.977293, 5.488520, 5.518474, 6.057901, 6.401045, 6.532957, 6.826660, 6.941042, 8.614470], [12.610039, 13.251248, 13.269916, 14.742862, 15.015104, 15.233754, 16.807149, 17.357581, 17.583203, 158.710179], [8.471330, 8.757474, 8.765775, 9.497053, 10.029472, 11.965165, 11.971962, 11.979799, 12.395545, 13.328579], [42.668831, 44.155074, 45.767809, 45.845349, 46.007031, 46.490394, 47.548768, 50.061860, 56.154921, 351.079113], [18.443176, 18.643252, 19.387692, 19.509025, 20.199514, 20.472578, 20.534870, 21.439289, 23.947359, 172.386251], [28.446469, 28.526149, 28.596626, 28.661305, 28.754507, 29.430811, 31.586070, 31.978806, 35.793153, 205.924150], [11.936411, 12.067518, 12.351582, 12.737829, 12.977663, 13.073555, 13.728658, 13.897409, 15.444148, 128.507207], [8.426130, 8.881448, 9.137928, 9.701045, 10.388682, 10.427112, 10.871602, 11.884333, 11.922202, 97.165657]]
### 6
fourier: [[7.906886, 7.991255, 8.021959, 8.130545, 8.298748, 8.613458, 9.691065, 10.013679, 10.063915, 73.416251], [17.918555, 18.583062, 19.337353, 19.602074, 20.263100, 20.293905, 21.151219, 23.283422, 23.698268, 132.192818], [20.748093, 21.422965, 22.699790, 23.414256, 23.473729, 24.440930, 25.491178, 27.265686, 27.829590, 161.774677], [36.697721, 38.222597, 40.276719, 40.343166, 41.620069, 41.635458, 43.711016, 46.973376, 49.410444, 262.685549], [13.478814, 14.613806, 15.100300, 16.127871, 16.282553, 17.234420, 17.307843, 18.571844, 19.418165, 118.434339], [0.949012, 0.953451, 0.969933, 0.974690, 0.999776, 1.038056, 1.166390, 1.166995, 1.213138, 17.586737], [4.148257, 4.334203, 4.615833, 4.718789, 4.975797, 5.074861, 5.087086, 5.301065, 5.306283, 69.086394], [14.400436, 14.639503, 14.653087, 15.183765, 15.675269, 15.863840, 16.258042, 16.635112, 18.465465, 122.712309]]
### 8
fourier: [[1.472254, 1.506463, 1.591829, 1.597373, 1.635177, 1.638045, 1.739639, 1.865487, 1.953399, 35.501320], [31.185551, 32.290692, 34.286544, 34.617382, 35.245666, 35.975086, 37.789772, 40.527358, 41.888198, 236.848277], [15.524182, 16.089722, 17.032558, 17.076797, 17.500163, 17.592720, 18.564588, 19.822324, 20.898545, 114.087544], [1.391929, 1.426921, 1.427509, 1.477650, 1.502176, 1.609043, 1.614553, 1.627054, 1.922786, 37.488383], [41.048710, 42.680522, 45.237693, 45.546857, 46.603164, 47.375781, 49.655668, 53.432108, 55.230287, 328.766171], [4.044357, 4.066271, 4.380513, 4.419758, 4.537586, 4.663015, 5.038340, 5.107255, 5.443681, 39.507746], [1.314252, 1.350574, 1.428318, 1.461880, 1.531457, 1.589118, 1.660021, 1.679442, 1.804181, 40.297572], [16.467286, 16.914844, 17.838725, 17.865771, 18.292353, 18.354888, 19.409331, 20.817278, 21.917348, 120.381986]]
### 10
fourier: [[26.723478, 27.725246, 29.413938, 29.658385, 30.267620, 30.834738, 32.356166, 34.755563, 35.923836, 180.405264]]
## 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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389
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{"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7543, "learning_rate": 0.02746346682894142, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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## Activation Signature
### 0
fourier: [[16.129764, 16.801033, 17.132027, 17.324670, 17.820039, 18.032329, 19.100771, 22.834753, 25.515771, 196.895172], [15.412973, 16.827697, 18.089192, 18.181322, 18.434310, 20.247569, 20.689077, 22.969700, 23.261266, 131.779206], [19.839264, 20.376308, 20.661115, 20.801082, 20.906894, 20.948011, 21.654251, 23.014447, 23.278650, 26.697964], [16.294656, 17.078854, 17.359358, 18.484147, 19.106746, 19.136229, 19.650814, 20.168323, 20.332160, 103.653032], [22.983486, 24.330870, 25.042338, 25.147550, 25.187350, 28.068848, 30.000903, 33.757346, 36.518057, 141.289101], [23.489108, 23.855612, 25.090789, 28.946369, 29.013600, 30.791564, 36.906371, 41.351549, 41.802166, 234.644529], [15.896237, 16.624432, 17.681992, 19.121230, 20.157237, 20.474469, 22.101737, 24.225867, 25.314548, 156.817152], [18.489526, 19.542347, 19.550653, 19.819582, 20.637748, 22.686866, 23.578125, 25.432109, 27.661333, 127.865328]]
### 2
fourier: [[4.984750, 5.031966, 5.106967, 5.295391, 5.663028, 6.153121, 6.483514, 6.604180, 6.670842, 26.624989], [12.096384, 13.750128, 14.498573, 15.697565, 15.888114, 15.898416, 17.272945, 20.322635, 21.075502, 135.889043], [15.470773, 16.909264, 17.023993, 17.615145, 19.671868, 21.913476, 21.973001, 23.499931, 23.517163, 167.261193], [16.389022, 16.970166, 17.266028, 17.762544, 19.496662, 23.679002, 24.518677, 25.013238, 25.378215, 184.090250], [10.694314, 11.473531, 11.677997, 12.383574, 14.095534, 14.491167, 15.193583, 16.127442, 16.296486, 22.458142], [19.622986, 20.050041, 22.250083, 22.463898, 23.546714, 24.903932, 24.924940, 26.925067, 28.742488, 112.897731], [2.244114, 2.269031, 2.271112, 2.357442, 2.500903, 2.611224, 2.804063, 2.822493, 4.072644, 9.620398], [19.005925, 19.651425, 20.543244, 22.405374, 22.611787, 24.726006, 27.291524, 27.630383, 33.249628, 220.611013]]
### 4
fourier: [[10.836490, 11.063747, 12.154696, 12.197296, 12.776308, 12.908361, 12.953386, 14.119566, 14.668847, 158.955458], [10.416898, 10.623183, 11.911863, 12.241313, 12.931447, 13.087987, 15.149942, 15.595610, 18.620991, 127.863384], [11.364824, 12.301788, 14.071891, 14.364944, 14.451260, 14.803935, 17.275924, 17.435113, 18.927150, 44.606297], [2.826619, 3.136401, 3.171844, 3.325875, 3.458401, 3.951437, 4.135086, 4.295106, 5.202462, 39.823168], [5.970444, 6.242466, 6.481267, 6.496598, 7.112655, 7.291272, 8.302299, 9.394266, 9.525124, 9.676714], [10.919553, 10.989776, 11.060467, 11.812237, 11.929726, 12.946891, 13.455644, 13.597742, 13.660779, 149.429774], [5.901219, 6.008594, 6.023961, 6.781335, 6.796448, 7.512040, 8.911714, 9.337101, 9.507537, 18.375158], [1.966131, 2.008858, 2.241323, 2.254135, 2.358285, 2.461390, 2.510798, 2.595111, 3.057664, 50.841128]]
### 6
fourier: [[8.096437, 8.262403, 8.311537, 8.801906, 9.227676, 9.635208, 9.836222, 10.311183, 10.659705, 123.063085], [12.481657, 13.267151, 13.294199, 13.776573, 14.397411, 15.389996, 15.453991, 18.013309, 20.794333, 97.316513], [1.193800, 1.281382, 1.311297, 1.446290, 1.482707, 1.493078, 1.620677, 1.816135, 1.822403, 46.973188], [14.708256, 14.740919, 16.374656, 16.721403, 17.000959, 17.027847, 17.401673, 18.590693, 19.354193, 208.159725], [11.628987, 11.760992, 12.348081, 12.493787, 12.680489, 13.855035, 13.945585, 15.818672, 17.174691, 95.826720], [9.040990, 9.273262, 10.771826, 11.080434, 11.226726, 12.298919, 13.007106, 13.926770, 15.514567, 62.114479], [9.699437, 9.839384, 9.882584, 10.064938, 10.131844, 10.956606, 11.511838, 11.851670, 13.383608, 101.335419], [5.711195, 6.305001, 6.536140, 6.613600, 7.049841, 7.633707, 8.024814, 8.512984, 8.790547, 8.961071]]
### 8
fourier: [[8.914861, 9.186976, 9.292264, 10.622422, 10.835088, 10.942939, 12.186883, 12.386333, 13.629511, 13.864173], [10.452787, 10.832088, 10.925177, 11.142391, 11.544640, 12.283471, 13.262860, 14.123918, 15.981582, 66.888497], [8.563441, 8.760514, 9.002029, 9.113678, 9.369521, 9.616250, 10.253554, 12.267558, 13.642783, 45.735431], [13.877119, 14.326269, 14.361618, 14.800038, 14.822011, 15.240381, 16.716973, 19.868204, 22.063029, 152.705297], [8.593506, 9.519950, 10.184492, 10.203811, 10.472401, 10.513976, 10.697956, 10.874178, 12.326638, 18.365507], [16.917805, 17.362664, 18.418533, 18.976881, 20.643025, 20.784203, 21.941517, 24.561282, 25.239987, 104.690474], [13.683510, 14.194915, 14.808897, 15.532061, 16.027544, 16.755566, 17.365039, 19.382879, 19.584099, 57.104992], [10.263454, 10.386484, 10.974714, 11.343038, 11.999879, 12.343266, 12.551367, 14.318717, 14.505991, 28.694570]]
### 10
fourier: [[10.250110, 10.293722, 10.438168, 10.889786, 10.932609, 12.135842, 13.439092, 13.611906, 14.045342, 58.741332], [16.578387, 18.209468, 18.611771, 19.372590, 19.472499, 19.552337, 20.117657, 20.439131, 22.706012, 43.165510], [10.451813, 10.711152, 10.942888, 11.141113, 12.071050, 12.554090, 13.891350, 14.504891, 15.555590, 55.151746], [14.321135, 14.428771, 14.985309, 15.635575, 16.673848, 18.123925, 18.793523, 18.969516, 19.156093, 45.386095], [10.166270, 10.268992, 10.490191, 10.518678, 10.942136, 11.491728, 11.591339, 13.026392, 13.792720, 13.799507], [8.297665, 9.790175, 10.856939, 11.286137, 11.684799, 12.000626, 12.525077, 12.902125, 13.783581, 13.831288], [19.990702, 20.343403, 20.371539, 21.645865, 22.404980, 24.171623, 25.182078, 27.323690, 27.541555, 91.819943], [12.376284, 12.747798, 13.190446, 13.631884, 13.870087, 14.761140, 15.022834, 15.186677, 16.019809, 33.755971]]
### 12
fourier: [[25.762532, 27.156039, 28.995377, 29.106602, 29.559683, 30.323387, 30.514096, 30.769537, 31.167850, 35.801028]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[16.129764, 16.801033, 17.132027, 17.324670, 17.820039, 18.032329, 19.100771, 22.834753, 25.515771, 196.895172], [15.412973, 16.827697, 18.089192, 18.181322, 18.434310, 20.247569, 20.689077, 22.969700, 23.261266, 131.779206], [19.839264, 20.376308, 20.661115, 20.801082, 20.906894, 20.948011, 21.654251, 23.014447, 23.278650, 26.697964], [16.294656, 17.078854, 17.359358, 18.484147, 19.106746, 19.136229, 19.650814, 20.168323, 20.332160, 103.653032], [22.983486, 24.330870, 25.042338, 25.147550, 25.187350, 28.068848, 30.000903, 33.757346, 36.518057, 141.289101], [23.489108, 23.855612, 25.090789, 28.946369, 29.013600, 30.791564, 36.906371, 41.351549, 41.802166, 234.644529], [15.896237, 16.624432, 17.681992, 19.121230, 20.157237, 20.474469, 22.101737, 24.225867, 25.314548, 156.817152], [18.489526, 19.542347, 19.550653, 19.819582, 20.637748, 22.686866, 23.578125, 25.432109, 27.661333, 127.865328]]
### 2
fourier: [[4.984750, 5.031966, 5.106967, 5.295391, 5.663028, 6.153121, 6.483514, 6.604180, 6.670842, 26.624989], [12.096384, 13.750128, 14.498573, 15.697565, 15.888114, 15.898416, 17.272945, 20.322635, 21.075502, 135.889043], [15.470773, 16.909264, 17.023993, 17.615145, 19.671868, 21.913476, 21.973001, 23.499931, 23.517163, 167.261193], [16.389022, 16.970166, 17.266028, 17.762544, 19.496662, 23.679002, 24.518677, 25.013238, 25.378215, 184.090250], [10.694314, 11.473531, 11.677997, 12.383574, 14.095534, 14.491167, 15.193583, 16.127442, 16.296486, 22.458142], [19.622986, 20.050041, 22.250083, 22.463898, 23.546714, 24.903932, 24.924940, 26.925067, 28.742488, 112.897731], [2.244114, 2.269031, 2.271112, 2.357442, 2.500903, 2.611224, 2.804063, 2.822493, 4.072644, 9.620398], [19.005925, 19.651425, 20.543244, 22.405374, 22.611787, 24.726006, 27.291524, 27.630383, 33.249628, 220.611013]]
### 4
fourier: [[10.836490, 11.063747, 12.154696, 12.197296, 12.776308, 12.908361, 12.953386, 14.119566, 14.668847, 158.955458], [10.416898, 10.623183, 11.911863, 12.241313, 12.931447, 13.087987, 15.149942, 15.595610, 18.620991, 127.863384], [11.364824, 12.301788, 14.071891, 14.364944, 14.451260, 14.803935, 17.275924, 17.435113, 18.927150, 44.606297], [2.826619, 3.136401, 3.171844, 3.325875, 3.458401, 3.951437, 4.135086, 4.295106, 5.202462, 39.823168], [5.970444, 6.242466, 6.481267, 6.496598, 7.112655, 7.291272, 8.302299, 9.394266, 9.525124, 9.676714], [10.919553, 10.989776, 11.060467, 11.812237, 11.929726, 12.946891, 13.455644, 13.597742, 13.660779, 149.429774], [5.901219, 6.008594, 6.023961, 6.781335, 6.796448, 7.512040, 8.911714, 9.337101, 9.507537, 18.375158], [1.966131, 2.008858, 2.241323, 2.254135, 2.358285, 2.461390, 2.510798, 2.595111, 3.057664, 50.841128]]
### 6
fourier: [[8.096437, 8.262403, 8.311537, 8.801906, 9.227676, 9.635208, 9.836222, 10.311183, 10.659705, 123.063085], [12.481657, 13.267151, 13.294199, 13.776573, 14.397411, 15.389996, 15.453991, 18.013309, 20.794333, 97.316513], [1.193800, 1.281382, 1.311297, 1.446290, 1.482707, 1.493078, 1.620677, 1.816135, 1.822403, 46.973188], [14.708256, 14.740919, 16.374656, 16.721403, 17.000959, 17.027847, 17.401673, 18.590693, 19.354193, 208.159725], [11.628987, 11.760992, 12.348081, 12.493787, 12.680489, 13.855035, 13.945585, 15.818672, 17.174691, 95.826720], [9.040990, 9.273262, 10.771826, 11.080434, 11.226726, 12.298919, 13.007106, 13.926770, 15.514567, 62.114479], [9.699437, 9.839384, 9.882584, 10.064938, 10.131844, 10.956606, 11.511838, 11.851670, 13.383608, 101.335419], [5.711195, 6.305001, 6.536140, 6.613600, 7.049841, 7.633707, 8.024814, 8.512984, 8.790547, 8.961071]]
### 8
fourier: [[8.914861, 9.186976, 9.292264, 10.622422, 10.835088, 10.942939, 12.186883, 12.386333, 13.629511, 13.864173], [10.452787, 10.832088, 10.925177, 11.142391, 11.544640, 12.283471, 13.262860, 14.123918, 15.981582, 66.888497], [8.563441, 8.760514, 9.002029, 9.113678, 9.369521, 9.616250, 10.253554, 12.267558, 13.642783, 45.735431], [13.877119, 14.326269, 14.361618, 14.800038, 14.822011, 15.240381, 16.716973, 19.868204, 22.063029, 152.705297], [8.593506, 9.519950, 10.184492, 10.203811, 10.472401, 10.513976, 10.697956, 10.874178, 12.326638, 18.365507], [16.917805, 17.362664, 18.418533, 18.976881, 20.643025, 20.784203, 21.941517, 24.561282, 25.239987, 104.690474], [13.683510, 14.194915, 14.808897, 15.532061, 16.027544, 16.755566, 17.365039, 19.382879, 19.584099, 57.104992], [10.263454, 10.386484, 10.974714, 11.343038, 11.999879, 12.343266, 12.551367, 14.318717, 14.505991, 28.694570]]
### 10
fourier: [[10.250110, 10.293722, 10.438168, 10.889786, 10.932609, 12.135842, 13.439092, 13.611906, 14.045342, 58.741332], [16.578387, 18.209468, 18.611771, 19.372590, 19.472499, 19.552337, 20.117657, 20.439131, 22.706012, 43.165510], [10.451813, 10.711152, 10.942888, 11.141113, 12.071050, 12.554090, 13.891350, 14.504891, 15.555590, 55.151746], [14.321135, 14.428771, 14.985309, 15.635575, 16.673848, 18.123925, 18.793523, 18.969516, 19.156093, 45.386095], [10.166270, 10.268992, 10.490191, 10.518678, 10.942136, 11.491728, 11.591339, 13.026392, 13.792720, 13.799507], [8.297665, 9.790175, 10.856939, 11.286137, 11.684799, 12.000626, 12.525077, 12.902125, 13.783581, 13.831288], [19.990702, 20.343403, 20.371539, 21.645865, 22.404980, 24.171623, 25.182078, 27.323690, 27.541555, 91.819943], [12.376284, 12.747798, 13.190446, 13.631884, 13.870087, 14.761140, 15.022834, 15.186677, 16.019809, 33.755971]]
### 12
fourier: [[25.762532, 27.156039, 28.995377, 29.106602, 29.559683, 30.323387, 30.514096, 30.769537, 31.167850, 35.801028]]
## 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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{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809064745903015, "train_acc": 0.59, "val_loss": 0.7290952801704407, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741913557052612, "train_acc": 0.59, "val_loss": 0.7287609577178955, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.675015389919281, "train_acc": 0.59, "val_loss": 0.7217677235603333, "val_acc": 0.44}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.65529465675354, "train_acc": 0.595, "val_loss": 0.6772220134735107, "val_acc": 0.56}, {"stage": "improved", "epoch": 0, "global_epoch": 4, "train_loss": 0.6398045122623444, "train_acc": 0.655, "val_loss": 0.5714269876480103, "val_acc": 0.7}, {"stage": "improved", "epoch": 1, "global_epoch": 5, "train_loss": 0.4917762279510498, "train_acc": 0.76, "val_loss": 0.4101080596446991, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 6, "train_loss": 0.454412043094635, "train_acc": 0.775, "val_loss": 0.40975069999694824, "val_acc": 0.9}, {"stage": "improved", "epoch": 3, "global_epoch": 7, "train_loss": 0.5280877947807312, "train_acc": 0.85, "val_loss": 0.5229498744010925, "val_acc": 0.84}, {"stage": "improved", "epoch": 4, "global_epoch": 8, "train_loss": 0.4733292758464813, "train_acc": 0.855, "val_loss": 0.3585209548473358, "val_acc": 0.88}, {"stage": "improved", "epoch": 5, "global_epoch": 9, "train_loss": 0.32335740327835083, "train_acc": 0.86, "val_loss": 0.37537384033203125, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 10, "train_loss": 0.3156621605157852, "train_acc": 0.87, "val_loss": 0.4738708436489105, "val_acc": 0.74}, {"stage": "improved", "epoch": 7, "global_epoch": 11, "train_loss": 0.34850913286209106, "train_acc": 0.825, "val_loss": 0.3385274410247803, "val_acc": 0.88}, {"stage": "improved", "epoch": 8, "global_epoch": 12, "train_loss": 0.29321645200252533, "train_acc": 0.895, "val_loss": 0.34094077348709106, "val_acc": 0.88}, {"stage": "improved", "epoch": 9, "global_epoch": 13, "train_loss": 0.3124151825904846, "train_acc": 0.875, "val_loss": 0.3534875512123108, "val_acc": 0.88}], "summary": {"total_epochs": 14, "degraded_epochs": 4, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7290952801704407, "final_val_loss": 0.6772220134735107, "initial_val_acc": 0.44, "final_val_acc": 0.56, "best_val_acc": 0.56}, "improved_stage": {"initial_val_loss": 0.5714269876480103, "final_val_loss": 0.3534875512123108, "initial_val_acc": 0.7, "final_val_acc": 0.88, "best_val_acc": 0.9, "best_epoch": 6}, "improvement": 0.33999999999999997, "first_improvement_epoch": 3}}
|
390
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.76, "improved_accuracy": 0.94, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3625, "learning_rate": 0.04508402772831952, "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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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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.10.bias": [
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}
## Activation Signature
### 0
fourier: [[17.333962, 17.993663, 18.077635, 19.662296, 21.174854, 21.418822, 22.996057, 24.559652, 25.183508, 113.873774], [18.273221, 18.472135, 18.802276, 19.135724, 19.264857, 19.704698, 19.884949, 21.905077, 24.424224, 157.018665], [17.822382, 17.945308, 19.499622, 19.897596, 20.085129, 21.686492, 22.230358, 27.805460, 28.518715, 151.198310], [13.048441, 13.337664, 13.379892, 13.633479, 13.907074, 15.830306, 16.002257, 17.308812, 17.530749, 67.635229], [23.447079, 24.371965, 24.380150, 24.534052, 25.203130, 25.799900, 28.148057, 28.988622, 29.967836, 112.951028]]
### 2
fourier: [[11.624579, 12.850266, 13.147777, 14.129403, 15.116180, 15.596087, 16.750806, 17.083074, 17.654009, 96.958494], [20.701566, 21.031545, 22.178399, 26.004375, 26.448904, 26.451665, 28.880859, 32.903959, 33.089132, 184.971224], [12.440855, 12.630414, 12.653261, 12.739050, 12.766497, 13.699611, 14.967288, 14.987393, 15.372003, 27.885732], [17.957370, 18.120864, 18.351405, 18.390525, 19.700952, 19.925728, 20.820550, 21.700637, 22.293151, 82.613698], [6.558787, 6.939640, 7.107111, 7.816130, 7.956961, 8.019182, 8.350861, 9.330743, 10.287049, 16.622752]]
### 4
fourier: [[9.214188, 9.507036, 10.463264, 10.803277, 11.015590, 11.085804, 11.940791, 12.404657, 14.495088, 104.019762], [9.886485, 11.434634, 11.477231, 11.851008, 13.741108, 13.885553, 14.507393, 15.109396, 15.789732, 68.107209], [11.634417, 12.311650, 12.630075, 13.026332, 13.157737, 13.681148, 15.156958, 15.381154, 17.724414, 115.712002], [17.948355, 18.584594, 18.887075, 20.512708, 21.114872, 21.356760, 21.526548, 23.106837, 26.859731, 111.830782], [15.343267, 16.122018, 17.239344, 17.541794, 18.214588, 18.459901, 19.137507, 20.600533, 23.472669, 79.446568]]
### 6
fourier: [[22.850892, 22.894470, 23.722324, 26.168624, 26.282199, 27.437619, 28.144799, 28.324315, 33.857728, 144.517095], [3.695101, 3.793370, 3.974902, 4.221696, 4.488253, 4.525387, 4.670478, 4.917952, 5.478900, 47.241883], [0.495448, 0.507103, 0.554649, 0.556641, 0.580627, 0.602977, 0.676835, 0.690374, 0.804735, 10.218815], [14.531424, 14.869643, 16.014594, 16.132847, 17.496279, 17.794107, 18.028788, 18.065437, 22.283291, 94.213038], [4.156203, 4.378597, 4.386376, 4.694392, 4.700667, 4.893665, 5.040818, 5.075554, 5.780536, 6.272016]]
### 8
fourier: [[4.312659, 4.970004, 5.102518, 5.250639, 5.412695, 5.666631, 5.854675, 6.132970, 7.233227, 11.439153], [2.192699, 2.224609, 2.560502, 2.564410, 2.684587, 2.805450, 3.065717, 3.223312, 3.481935, 12.858563], [13.301783, 13.496539, 14.422763, 14.682804, 15.889653, 16.271698, 16.503499, 16.599837, 20.412222, 96.051972], [6.722036, 6.801665, 6.937724, 7.668305, 7.799845, 8.048867, 8.184329, 8.269543, 10.025957, 48.197817], [13.960105, 13.974094, 14.929028, 15.432900, 16.696380, 16.807806, 17.277210, 17.344484, 21.347893, 69.023563]]
### 10
fourier: [[12.326938, 13.132416, 13.402067, 13.513112, 13.838723, 15.464056, 15.495231, 16.299588, 19.038013, 43.411918]]
## 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: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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],
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0.235788,
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],
[
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0.002693
],
[
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[
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],
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"network.2.bias": [
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],
"network.4.weight": [
[
-0.444898,
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-0.254185,
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],
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-0.438175,
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],
[
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],
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-0.396574,
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[
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0.080822,
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0.197367,
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[
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[
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-0.180856,
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"network.10.bias": [
0.240079
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}
## Activation Signature
### 0
fourier: [[17.333962, 17.993663, 18.077635, 19.662296, 21.174854, 21.418822, 22.996057, 24.559652, 25.183508, 113.873774], [18.273221, 18.472135, 18.802276, 19.135724, 19.264857, 19.704698, 19.884949, 21.905077, 24.424224, 157.018665], [17.822382, 17.945308, 19.499622, 19.897596, 20.085129, 21.686492, 22.230358, 27.805460, 28.518715, 151.198310], [13.048441, 13.337664, 13.379892, 13.633479, 13.907074, 15.830306, 16.002257, 17.308812, 17.530749, 67.635229], [23.447079, 24.371965, 24.380150, 24.534052, 25.203130, 25.799900, 28.148057, 28.988622, 29.967836, 112.951028]]
### 2
fourier: [[11.624579, 12.850266, 13.147777, 14.129403, 15.116180, 15.596087, 16.750806, 17.083074, 17.654009, 96.958494], [20.701566, 21.031545, 22.178399, 26.004375, 26.448904, 26.451665, 28.880859, 32.903959, 33.089132, 184.971224], [12.440855, 12.630414, 12.653261, 12.739050, 12.766497, 13.699611, 14.967288, 14.987393, 15.372003, 27.885732], [17.957370, 18.120864, 18.351405, 18.390525, 19.700952, 19.925728, 20.820550, 21.700637, 22.293151, 82.613698], [6.558787, 6.939640, 7.107111, 7.816130, 7.956961, 8.019182, 8.350861, 9.330743, 10.287049, 16.622752]]
### 4
fourier: [[9.214188, 9.507036, 10.463264, 10.803277, 11.015590, 11.085804, 11.940791, 12.404657, 14.495088, 104.019762], [9.886485, 11.434634, 11.477231, 11.851008, 13.741108, 13.885553, 14.507393, 15.109396, 15.789732, 68.107209], [11.634417, 12.311650, 12.630075, 13.026332, 13.157737, 13.681148, 15.156958, 15.381154, 17.724414, 115.712002], [17.948355, 18.584594, 18.887075, 20.512708, 21.114872, 21.356760, 21.526548, 23.106837, 26.859731, 111.830782], [15.343267, 16.122018, 17.239344, 17.541794, 18.214588, 18.459901, 19.137507, 20.600533, 23.472669, 79.446568]]
### 6
fourier: [[22.850892, 22.894470, 23.722324, 26.168624, 26.282199, 27.437619, 28.144799, 28.324315, 33.857728, 144.517095], [3.695101, 3.793370, 3.974902, 4.221696, 4.488253, 4.525387, 4.670478, 4.917952, 5.478900, 47.241883], [0.495448, 0.507103, 0.554649, 0.556641, 0.580627, 0.602977, 0.676835, 0.690374, 0.804735, 10.218815], [14.531424, 14.869643, 16.014594, 16.132847, 17.496279, 17.794107, 18.028788, 18.065437, 22.283291, 94.213038], [4.156203, 4.378597, 4.386376, 4.694392, 4.700667, 4.893665, 5.040818, 5.075554, 5.780536, 6.272016]]
### 8
fourier: [[4.312659, 4.970004, 5.102518, 5.250639, 5.412695, 5.666631, 5.854675, 6.132970, 7.233227, 11.439153], [2.192699, 2.224609, 2.560502, 2.564410, 2.684587, 2.805450, 3.065717, 3.223312, 3.481935, 12.858563], [13.301783, 13.496539, 14.422763, 14.682804, 15.889653, 16.271698, 16.503499, 16.599837, 20.412222, 96.051972], [6.722036, 6.801665, 6.937724, 7.668305, 7.799845, 8.048867, 8.184329, 8.269543, 10.025957, 48.197817], [13.960105, 13.974094, 14.929028, 15.432900, 16.696380, 16.807806, 17.277210, 17.344484, 21.347893, 69.023563]]
### 10
fourier: [[12.326938, 13.132416, 13.402067, 13.513112, 13.838723, 15.464056, 15.495231, 16.299588, 19.038013, 43.411918]]
## 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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24.534052081968362, 25.203129536346612, 25.79989951948691, 28.148056972241832, 28.98862218979355, 29.96783584096871, 112.951027803123]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [11.62457890094431, 12.85026588673819, 13.147776592596754, 14.129402687518796, 15.116179917976693, 15.596086891308861, 16.75080614513213, 17.083073835008193, 17.654008846981572, 96.9584935195744]}, "1": {"fourier": [20.70156606795436, 21.031545420803376, 22.178399083027514, 26.00437458870437, 26.44890449267514, 26.451665376723884, 28.880859204500286, 32.90395906487374, 33.08913239859939, 184.97122399508953]}, "2": {"fourier": [12.440854728868942, 12.630413690644968, 12.65326055105709, 12.739050324487996, 12.766497267685478, 13.699611149973146, 14.967287687190057, 14.987392792418342, 15.372002760280646, 27.885732010006905]}, "3": {"fourier": [17.957369653563724, 18.1208639257967, 18.351404566627263, 18.39052467733737, 19.70095202214447, 19.925727689041306, 20.82055047091435, 21.70063732368913, 22.29315089275326, 82.61369800008833]}, "4": {"fourier": [6.558787363565789, 6.939639715295546, 7.107110788194115, 7.816130003430883, 7.956960885409944, 8.019182246766883, 8.350861461987256, 9.330742773296873, 10.287048796804543, 16.622752219438553]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [9.214188244865523, 9.507035553979309, 10.463263589291172, 10.803276894929137, 11.015590311648447, 11.085803765071844, 11.94079071620264, 12.404656986433933, 14.495088177418795, 104.01976209878922]}, "1": {"fourier": [9.88648498123291, 11.434634316031177, 11.477231104570462, 11.851007736948722, 13.741107775932726, 13.88555347278315, 14.507393323829158, 15.10939642213336, 15.789731577595708, 68.1072091087699]}, "2": {"fourier": [11.634416527383273, 12.311649909712381, 12.630074829136086, 13.026331772690877, 13.157737112649937, 13.681147879895533, 15.156957566243237, 15.381153944969352, 17.724413573968647, 115.71200196444988]}, "3": {"fourier": [17.94835511198979, 18.584593849505918, 18.887075270486108, 20.512707899285278, 21.1148716801356, 21.356759722342716, 21.52654822223347, 23.1068366989989, 26.859731357869354, 111.8307820186019]}, "4": {"fourier": [15.343266943581234, 16.122018346391613, 17.239344008288057, 17.5417939250504, 18.21458791633402, 18.459900933885592, 19.13750737784814, 20.600533287570485, 23.472669256750383, 79.44656766951084]}}, "layer_info": {"num_neurons": 5, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [22.850892175963743, 22.894470082203803, 23.72232351222253, 26.16862438309843, 26.28219915038643, 27.437618516659498, 28.144798941392892, 28.32431534005619, 33.85772782048541, 144.5170952528715]}, "1": {"fourier": [3.6951005506766292, 3.7933703768268523, 3.9749017224154475, 4.221695860078185, 4.48825349509866, 4.525386868160188, 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"10": {"neuron_profiles": {"0": {"fourier": [12.326937775291785, 13.13241624012338, 13.402066513725881, 13.513111671935267, 13.83872337247172, 15.464055535297069, 15.495230511591032, 16.299587964093554, 19.03801262507252, 43.41191807389259]}}, "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": 5, "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": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.19146, 0.168914, -0.251973, 0.322932, 0.491614], [-0.377911, 0.45578, 0.38426, 0.235788, -0.071917], [-0.44136, -0.35706, -0.018161, -0.233883, 0.002693], [-0.36907, 0.041561, 0.21237, 0.194651, 0.254855], [-0.568776, -0.094458, 0.362679, 0.361841, 0.534346]], "network.0.bias": [-0.053285, 0.164795, 0.056074, -0.040301, -0.057626], "network.2.weight": [[-0.241806, 0.436724, -0.38261, 0.156266, 0.365107], [0.391675, 0.355575, -0.546863, 0.474571, 0.555443], [0.114378, -0.166579, -0.360702, 0.089762, 0.556896], [0.204212, -0.354877, 0.239912, 0.462346, 0.648256], [0.30708, 0.320954, 0.020349, 0.047895, -0.369064]], "network.2.bias": [-0.033388, -0.240271, -0.43542, 0.006118, -0.260805], "network.4.weight": [[-0.444898, -0.100295, -0.248745, -0.022793, 0.08365], [-0.254185, 0.205418, 0.55172, 0.191063, 0.069993], [-0.438175, -0.233167, 0.499865, -0.42447, 0.283785], [0.558063, 0.221726, 0.007236, 0.478835, -0.284444], [0.305297, 0.34878, 0.332077, 0.115856, -0.368962]], "network.4.bias": [-0.396574, 0.206795, -0.221807, -0.162443, -0.297885], "network.6.weight": [[0.130574, 0.413701, 0.356404, 0.559619, 0.566096], [-0.368451, -0.122559, 0.547909, -0.268241, 0.14139], [0.080822, -0.034854, 0.032551, -0.075669, 0.142437], [0.285228, 0.086342, 0.150016, 0.429065, 0.408877], [-0.069135, -0.26115, -0.29926, 0.380079, -0.002104]], "network.6.bias": [0.197367, -0.233118, -0.112878, 0.150192, -0.299426], "network.8.weight": [[-0.138007, -0.166138, 0.106457, 0.433986, 0.554072], [0.091894, -0.646952, -0.113255, -0.235387, -0.412439], [0.332272, 0.35498, 0.090076, 0.348274, 0.309233], [0.352177, -0.033509, 0.456807, -0.112334, 0.060723], [0.254842, -0.014023, -0.073718, 0.541324, 0.08082]], "network.8.bias": [-0.385611, -0.126561, 0.246802, 0.114971, -0.169304], "network.10.weight": [[-0.224392, 0.058775, -0.261184, -0.180856, -0.526148]], "network.10.bias": [0.240079]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6196902990341187, "train_acc": 0.605, "val_loss": 0.669862687587738, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5764501094818115, "train_acc": 0.575, "val_loss": 0.4978678226470947, "val_acc": 0.76}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5019475221633911, "train_acc": 0.775, "val_loss": 0.4084904193878174, "val_acc": 0.94}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.424223393201828, "train_acc": 0.87, "val_loss": 0.3468457758426666, "val_acc": 0.92}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3624037355184555, "train_acc": 0.88, "val_loss": 0.32421931624412537, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.36441728472709656, "train_acc": 0.885, "val_loss": 0.2708164155483246, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.32586251199245453, "train_acc": 0.89, "val_loss": 0.2709079384803772, "val_acc": 0.92}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.3294862359762192, "train_acc": 0.865, "val_loss": 0.25924909114837646, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.31725218892097473, "train_acc": 0.87, "val_loss": 0.21703822910785675, "val_acc": 0.94}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.26103175431489944, "train_acc": 0.9, "val_loss": 0.20581990480422974, "val_acc": 0.94}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24402465671300888, "train_acc": 0.91, "val_loss": 0.2020682543516159, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.254487507045269, "train_acc": 0.915, "val_loss": 0.2005738765001297, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.669862687587738, "final_val_loss": 0.4978678226470947, "initial_val_acc": 0.48, "final_val_acc": 0.76, "best_val_acc": 0.76}, "improved_stage": {"initial_val_loss": 0.4084904193878174, "final_val_loss": 0.2005738765001297, "initial_val_acc": 0.94, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 2}, "improvement": 0.17999999999999994, "first_improvement_epoch": 1}}
|
391
|
{"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6082, "learning_rate": 0.08901424225638216, "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: 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: [[24.686559, 26.114310, 27.716703, 28.377748, 28.695558, 29.332012, 29.776426, 33.321402, 35.003466, 96.998481], [41.826410, 43.015438, 45.599228, 46.690721, 49.704529, 54.722998, 55.619626, 56.697823, 58.416924, 178.756585], [27.841444, 28.579330, 29.655512, 31.783198, 34.437211, 40.744081, 41.909071, 46.069220, 47.386181, 365.865854], [17.404604, 17.446928, 17.658615, 17.994055, 18.739447, 20.335971, 20.887155, 23.084347, 23.084545, 216.325545], [27.571203, 30.425030, 30.505084, 31.821199, 32.924136, 33.702469, 33.874261, 35.585617, 35.951428, 67.475572]]
### 2
fourier: [[18.788740, 18.997213, 19.193956, 23.282206, 24.094489, 24.299811, 24.821969, 25.752559, 27.606433, 67.995574], [9.815592, 10.968816, 11.072033, 12.345063, 12.915041, 13.164614, 13.389568, 13.439034, 13.498570, 67.451784], [16.682954, 17.520348, 19.275716, 20.535711, 21.961084, 22.181695, 22.184658, 22.311877, 22.699219, 150.928438], [64.233225, 67.219701, 69.985932, 81.925928, 85.539280, 86.578519, 88.497167, 91.107149, 96.153044, 387.657196], [77.515356, 80.227188, 82.567114, 97.886014, 101.824776, 103.042786, 105.377505, 108.696040, 115.012674, 418.165161]]
### 4
fourier: [[66.964970, 69.310724, 72.031716, 84.892406, 88.203059, 88.995964, 91.074631, 93.734947, 100.928027, 348.166831], [43.424973, 45.509567, 47.673237, 55.439286, 57.922864, 58.449640, 60.008723, 61.784734, 65.515276, 265.601599], [15.674513, 16.431062, 16.905321, 19.998608, 20.899474, 21.318406, 21.577852, 22.209845, 22.987369, 127.797342], [122.132762, 126.969179, 131.915069, 155.204609, 161.567092, 163.316536, 166.926638, 171.821127, 183.323473, 634.863637], [15.789673, 16.655393, 17.248994, 20.218413, 21.191297, 21.585985, 21.925777, 22.572671, 23.252026, 169.753057]]
### 6
fourier: [[87.591295, 91.341255, 96.512556, 112.076157, 116.418387, 116.994252, 120.599016, 123.957574, 134.284004, 491.287690], [42.459185, 44.415496, 46.985489, 54.463411, 56.662353, 56.989036, 58.652568, 60.254959, 65.099763, 271.137426], [10.105841, 10.539517, 11.136621, 12.931782, 13.433463, 13.500254, 13.915533, 14.302837, 15.493058, 79.220964], [175.014268, 182.873666, 193.373527, 224.295380, 233.220497, 234.496891, 241.477589, 248.120420, 268.327427, 920.390514], [56.208479, 58.644874, 61.977018, 71.950071, 74.756904, 75.136730, 77.431804, 79.581489, 86.173213, 322.281908]]
### 8
fourier: [[145.629026, 152.042313, 162.311461, 186.959895, 194.254476, 194.847905, 201.215839, 206.667657, 224.642921, 736.979726]]
## 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: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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0.336754,
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],
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],
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],
[
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}
## Activation Signature
### 0
fourier: [[24.686559, 26.114310, 27.716703, 28.377748, 28.695558, 29.332012, 29.776426, 33.321402, 35.003466, 96.998481], [41.826410, 43.015438, 45.599228, 46.690721, 49.704529, 54.722998, 55.619626, 56.697823, 58.416924, 178.756585], [27.841444, 28.579330, 29.655512, 31.783198, 34.437211, 40.744081, 41.909071, 46.069220, 47.386181, 365.865854], [17.404604, 17.446928, 17.658615, 17.994055, 18.739447, 20.335971, 20.887155, 23.084347, 23.084545, 216.325545], [27.571203, 30.425030, 30.505084, 31.821199, 32.924136, 33.702469, 33.874261, 35.585617, 35.951428, 67.475572]]
### 2
fourier: [[18.788740, 18.997213, 19.193956, 23.282206, 24.094489, 24.299811, 24.821969, 25.752559, 27.606433, 67.995574], [9.815592, 10.968816, 11.072033, 12.345063, 12.915041, 13.164614, 13.389568, 13.439034, 13.498570, 67.451784], [16.682954, 17.520348, 19.275716, 20.535711, 21.961084, 22.181695, 22.184658, 22.311877, 22.699219, 150.928438], [64.233225, 67.219701, 69.985932, 81.925928, 85.539280, 86.578519, 88.497167, 91.107149, 96.153044, 387.657196], [77.515356, 80.227188, 82.567114, 97.886014, 101.824776, 103.042786, 105.377505, 108.696040, 115.012674, 418.165161]]
### 4
fourier: [[66.964970, 69.310724, 72.031716, 84.892406, 88.203059, 88.995964, 91.074631, 93.734947, 100.928027, 348.166831], [43.424973, 45.509567, 47.673237, 55.439286, 57.922864, 58.449640, 60.008723, 61.784734, 65.515276, 265.601599], [15.674513, 16.431062, 16.905321, 19.998608, 20.899474, 21.318406, 21.577852, 22.209845, 22.987369, 127.797342], [122.132762, 126.969179, 131.915069, 155.204609, 161.567092, 163.316536, 166.926638, 171.821127, 183.323473, 634.863637], [15.789673, 16.655393, 17.248994, 20.218413, 21.191297, 21.585985, 21.925777, 22.572671, 23.252026, 169.753057]]
### 6
fourier: [[87.591295, 91.341255, 96.512556, 112.076157, 116.418387, 116.994252, 120.599016, 123.957574, 134.284004, 491.287690], [42.459185, 44.415496, 46.985489, 54.463411, 56.662353, 56.989036, 58.652568, 60.254959, 65.099763, 271.137426], [10.105841, 10.539517, 11.136621, 12.931782, 13.433463, 13.500254, 13.915533, 14.302837, 15.493058, 79.220964], [175.014268, 182.873666, 193.373527, 224.295380, 233.220497, 234.496891, 241.477589, 248.120420, 268.327427, 920.390514], [56.208479, 58.644874, 61.977018, 71.950071, 74.756904, 75.136730, 77.431804, 79.581489, 86.173213, 322.281908]]
### 8
fourier: [[145.629026, 152.042313, 162.311461, 186.959895, 194.254476, 194.847905, 201.215839, 206.667657, 224.642921, 736.979726]]
## 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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206.66765749070436, 224.64292069655951, 736.9797259569168]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.619728, 0.336754, -0.184173, -0.480952, 0.448418], [1.187814, 0.68668, -0.091723, -0.57584, 0.397632], [-0.278609, -0.433404, -0.552569, -0.109631, -0.653097], [0.211318, -0.57673, -0.189155, -0.058705, -0.313063], [0.927024, 0.258542, -0.103179, 0.020909, -0.067099]], "network.0.bias": [0.555947, 0.192774, -0.733867, -0.708537, -0.621576], "network.2.weight": [[-0.444447, -0.294028, -0.132123, -0.177411, 0.064092], [-0.086668, 0.054127, -0.331266, 0.047264, -0.43468], [0.017734, -0.141202, 0.305243, 0.124439, -0.488116], [1.079243, 1.116492, -0.100203, 0.015555, 0.074414], [1.381484, 1.346574, -0.155789, 0.345251, -0.018809]], "network.2.bias": [0.451418, -0.289289, -0.85788, 0.214945, -0.282269], "network.4.weight": [[-0.178485, 0.0105, 0.250163, -0.488741, 1.283184], [-0.224596, -0.19974, 0.236984, -0.515493, -0.141191], [0.155424, 0.020266, -0.161515, -0.532237, 0.246756], [-0.294291, -0.084679, 0.061318, 0.342199, 1.303594], [0.06104, -0.182075, 0.046407, -0.652912, 0.344208]], "network.4.bias": [-0.054043, -0.028863, -0.316614, -0.525634, -0.707993], "network.6.weight": [[-0.694543, -0.227823, 0.29988, -0.350244, -0.077666], [0.02056, 0.285425, -0.462233, -0.366374, -0.129482], [-0.077492, -0.415123, 0.278152, -0.041863, 0.10865], [0.442276, -0.016387, 0.112354, 1.220139, -0.07179], [-0.368358, -0.028582, 0.177224, -0.267318, -0.044554]], "network.6.bias": [-0.197535, -0.451136, -0.273138, -0.315329, -0.202299], "network.8.weight": [[-0.094786, 0.266471, 0.18967, -0.837687, -0.047961]], "network.8.bias": [0.455467]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853868067264557, "train_acc": 0.585, "val_loss": 0.7445824146270752, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.672965407371521, "train_acc": 0.585, "val_loss": 0.7181360125541687, "val_acc": 0.44}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6480450630187988, "train_acc": 0.585, "val_loss": 0.7014725208282471, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6201635897159576, "train_acc": 0.515, "val_loss": 0.6648571491241455, "val_acc": 0.44}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.57608962059021, "train_acc": 0.58, "val_loss": 0.5647269487380981, "val_acc": 0.7}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.5021834969520569, "train_acc": 0.755, "val_loss": 0.5464829206466675, "val_acc": 0.76}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.47786736488342285, "train_acc": 0.785, "val_loss": 0.5025003552436829, "val_acc": 0.82}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.42222946882247925, "train_acc": 0.815, "val_loss": 0.4646540880203247, "val_acc": 0.82}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3776714354753494, "train_acc": 0.83, "val_loss": 0.467210054397583, "val_acc": 0.82}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3579586297273636, "train_acc": 0.85, "val_loss": 0.4561265707015991, "val_acc": 0.82}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.3598225563764572, "train_acc": 0.85, "val_loss": 0.4558117687702179, "val_acc": 0.82}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.37689109146595, "train_acc": 0.84, "val_loss": 0.4489680230617523, "val_acc": 0.82}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3656751662492752, "train_acc": 0.85, "val_loss": 0.42928653955459595, "val_acc": 0.82}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["mountain_pattern"], "degraded_stage": {"initial_val_loss": 0.7445824146270752, "final_val_loss": 0.7014725208282471, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.6648571491241455, "final_val_loss": 0.42928653955459595, "initial_val_acc": 0.44, "final_val_acc": 0.82, "best_val_acc": 0.82, "best_epoch": 6}, "improvement": 0.37999999999999995, "first_improvement_epoch": 2}}
|
392
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.7, "improved_accuracy": 0.86, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9786, "learning_rate": 0.06074989608408488, "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: [[13.059382, 13.599159, 14.062611, 14.472910, 14.654602, 17.370106, 17.612796, 18.011470, 20.013662, 40.214705], [24.813253, 24.914091, 26.126755, 27.460018, 28.268298, 29.976931, 31.145059, 37.051777, 38.210574, 39.048070], [18.840913, 20.130965, 20.539766, 21.115201, 21.793778, 21.826198, 21.828262, 24.544734, 28.080759, 34.661096], [23.277874, 24.006230, 28.009727, 30.336638, 31.156216, 36.879189, 38.071609, 46.577740, 50.473008, 178.794001], [21.004952, 21.750170, 21.919772, 21.984825, 22.221773, 23.629435, 24.294546, 24.457539, 26.955532, 34.346056]]
### 2
fourier: [[20.202050, 20.929336, 21.587396, 21.685772, 21.851042, 22.494530, 22.644665, 24.228346, 27.219069, 81.145163], [18.186067, 20.237027, 21.142485, 21.362638, 22.333342, 24.586505, 27.651773, 32.214465, 35.040993, 155.153473], [22.544859, 24.127740, 24.795315, 25.427202, 30.246903, 32.759940, 32.769631, 36.797005, 42.592400, 103.772308], [16.933957, 17.123592, 18.124006, 18.138401, 19.721095, 20.768653, 20.843198, 21.885585, 26.478538, 26.724533], [22.419903, 22.991970, 23.844549, 23.986565, 29.107958, 32.812321, 33.572751, 35.187051, 41.770690, 90.377224]]
### 4
fourier: [[7.699492, 8.032368, 8.719171, 8.963736, 8.975205, 9.029292, 9.648473, 10.238731, 10.956968, 104.998610], [6.262865, 6.427675, 6.640650, 6.675742, 6.688505, 7.078287, 7.773305, 9.065793, 10.172921, 110.570529], [4.224164, 4.316011, 4.445166, 5.216040, 5.653080, 5.804389, 6.369172, 7.047977, 7.165356, 81.479405], [6.485407, 6.536619, 6.540419, 6.551827, 6.783225, 7.193947, 7.438432, 8.571516, 9.273237, 58.948940], [27.147955, 27.318488, 30.877049, 32.541834, 32.682506, 35.019418, 35.699886, 38.694289, 46.079670, 68.739951]]
### 6
fourier: [[0.986532, 0.994349, 1.001349, 1.011708, 1.071666, 1.089727, 1.139783, 1.328023, 1.439803, 37.205062], [11.182094, 11.446143, 11.761782, 12.248287, 12.260985, 14.404926, 14.818320, 15.511318, 15.830699, 22.058376], [15.222089, 15.433675, 16.236076, 16.505906, 17.362480, 17.563497, 18.153915, 18.754486, 20.053211, 20.326245], [2.241418, 2.375055, 2.392091, 2.447328, 2.616746, 2.908625, 3.168924, 3.229463, 3.669105, 19.882261], [7.627142, 7.837844, 8.459472, 8.479402, 8.547507, 8.830502, 9.988082, 10.093809, 10.431238, 23.453949]]
### 8
fourier: [[8.068578, 8.470134, 8.628662, 8.631360, 8.653522, 9.899108, 10.203647, 10.491668, 11.274531, 25.934392], [9.318616, 9.857071, 10.177392, 10.189786, 10.409121, 11.745326, 11.840301, 12.288614, 13.029598, 52.002871], [5.086973, 5.229738, 5.306648, 5.387576, 5.388180, 5.550191, 6.247816, 6.457739, 6.891330, 22.406527], [18.069384, 19.322274, 19.968337, 19.981159, 20.575575, 22.943903, 23.028174, 24.012578, 25.239050, 63.753982], [1.540868, 1.545794, 1.546278, 1.574028, 1.582218, 1.881236, 1.925885, 1.937519, 2.121081, 21.941665]]
### 10
fourier: [[6.057148, 6.107197, 6.211817, 6.268619, 6.314433, 6.902832, 7.370633, 7.597848, 8.221517, 31.059296], [12.689713, 12.807096, 13.083440, 13.174367, 13.591798, 14.076081, 15.579760, 15.760696, 17.558261, 109.365388], [4.301515, 4.346084, 4.437425, 4.471748, 4.603877, 4.770598, 5.281955, 5.347219, 5.955556, 41.406263], [17.476397, 17.896564, 18.283290, 18.289935, 18.448401, 20.472396, 21.527046, 22.165944, 23.899053, 54.560858], [13.271844, 13.345953, 13.536194, 13.648272, 13.772623, 15.106556, 16.104584, 16.560647, 17.938220, 68.605986]]
### 12
fourier: [[19.023851, 19.984107, 20.248014, 20.956277, 23.318104, 25.493672, 25.820871, 27.314750, 29.358354, 136.460735]]
## 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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}
## Activation Signature
### 0
fourier: [[13.059382, 13.599159, 14.062611, 14.472910, 14.654602, 17.370106, 17.612796, 18.011470, 20.013662, 40.214705], [24.813253, 24.914091, 26.126755, 27.460018, 28.268298, 29.976931, 31.145059, 37.051777, 38.210574, 39.048070], [18.840913, 20.130965, 20.539766, 21.115201, 21.793778, 21.826198, 21.828262, 24.544734, 28.080759, 34.661096], [23.277874, 24.006230, 28.009727, 30.336638, 31.156216, 36.879189, 38.071609, 46.577740, 50.473008, 178.794001], [21.004952, 21.750170, 21.919772, 21.984825, 22.221773, 23.629435, 24.294546, 24.457539, 26.955532, 34.346056]]
### 2
fourier: [[20.202050, 20.929336, 21.587396, 21.685772, 21.851042, 22.494530, 22.644665, 24.228346, 27.219069, 81.145163], [18.186067, 20.237027, 21.142485, 21.362638, 22.333342, 24.586505, 27.651773, 32.214465, 35.040993, 155.153473], [22.544859, 24.127740, 24.795315, 25.427202, 30.246903, 32.759940, 32.769631, 36.797005, 42.592400, 103.772308], [16.933957, 17.123592, 18.124006, 18.138401, 19.721095, 20.768653, 20.843198, 21.885585, 26.478538, 26.724533], [22.419903, 22.991970, 23.844549, 23.986565, 29.107958, 32.812321, 33.572751, 35.187051, 41.770690, 90.377224]]
### 4
fourier: [[7.699492, 8.032368, 8.719171, 8.963736, 8.975205, 9.029292, 9.648473, 10.238731, 10.956968, 104.998610], [6.262865, 6.427675, 6.640650, 6.675742, 6.688505, 7.078287, 7.773305, 9.065793, 10.172921, 110.570529], [4.224164, 4.316011, 4.445166, 5.216040, 5.653080, 5.804389, 6.369172, 7.047977, 7.165356, 81.479405], [6.485407, 6.536619, 6.540419, 6.551827, 6.783225, 7.193947, 7.438432, 8.571516, 9.273237, 58.948940], [27.147955, 27.318488, 30.877049, 32.541834, 32.682506, 35.019418, 35.699886, 38.694289, 46.079670, 68.739951]]
### 6
fourier: [[0.986532, 0.994349, 1.001349, 1.011708, 1.071666, 1.089727, 1.139783, 1.328023, 1.439803, 37.205062], [11.182094, 11.446143, 11.761782, 12.248287, 12.260985, 14.404926, 14.818320, 15.511318, 15.830699, 22.058376], [15.222089, 15.433675, 16.236076, 16.505906, 17.362480, 17.563497, 18.153915, 18.754486, 20.053211, 20.326245], [2.241418, 2.375055, 2.392091, 2.447328, 2.616746, 2.908625, 3.168924, 3.229463, 3.669105, 19.882261], [7.627142, 7.837844, 8.459472, 8.479402, 8.547507, 8.830502, 9.988082, 10.093809, 10.431238, 23.453949]]
### 8
fourier: [[8.068578, 8.470134, 8.628662, 8.631360, 8.653522, 9.899108, 10.203647, 10.491668, 11.274531, 25.934392], [9.318616, 9.857071, 10.177392, 10.189786, 10.409121, 11.745326, 11.840301, 12.288614, 13.029598, 52.002871], [5.086973, 5.229738, 5.306648, 5.387576, 5.388180, 5.550191, 6.247816, 6.457739, 6.891330, 22.406527], [18.069384, 19.322274, 19.968337, 19.981159, 20.575575, 22.943903, 23.028174, 24.012578, 25.239050, 63.753982], [1.540868, 1.545794, 1.546278, 1.574028, 1.582218, 1.881236, 1.925885, 1.937519, 2.121081, 21.941665]]
### 10
fourier: [[6.057148, 6.107197, 6.211817, 6.268619, 6.314433, 6.902832, 7.370633, 7.597848, 8.221517, 31.059296], [12.689713, 12.807096, 13.083440, 13.174367, 13.591798, 14.076081, 15.579760, 15.760696, 17.558261, 109.365388], [4.301515, 4.346084, 4.437425, 4.471748, 4.603877, 4.770598, 5.281955, 5.347219, 5.955556, 41.406263], [17.476397, 17.896564, 18.283290, 18.289935, 18.448401, 20.472396, 21.527046, 22.165944, 23.899053, 54.560858], [13.271844, 13.345953, 13.536194, 13.648272, 13.772623, 15.106556, 16.104584, 16.560647, 17.938220, 68.605986]]
### 12
fourier: [[19.023851, 19.984107, 20.248014, 20.956277, 23.318104, 25.493672, 25.820871, 27.314750, 29.358354, 136.460735]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6919269859790802, "train_acc": 0.465, "val_loss": 0.702237069606781, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6747844517230988, "train_acc": 0.565, "val_loss": 0.6804986000061035, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6334253251552582, "train_acc": 0.6, "val_loss": 0.6024785041809082, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.5457414388656616, "train_acc": 0.825, "val_loss": 0.503207802772522, "val_acc": 0.8}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.3855025917291641, "train_acc": 0.87, "val_loss": 0.5055113434791565, "val_acc": 0.82}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.3632684648036957, "train_acc": 0.88, "val_loss": 0.3979261815547943, "val_acc": 0.86}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.31040777266025543, "train_acc": 0.88, "val_loss": 0.5122573375701904, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.32251526415348053, "train_acc": 0.895, "val_loss": 0.5514108538627625, "val_acc": 0.78}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.3244663253426552, "train_acc": 0.875, "val_loss": 0.37014472484588623, "val_acc": 0.84}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2544424459338188, "train_acc": 0.895, "val_loss": 0.3487839102745056, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.2858654260635376, "train_acc": 0.915, "val_loss": 0.34887686371803284, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2609589174389839, "train_acc": 0.915, "val_loss": 0.34280291199684143, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.24786220490932465, "train_acc": 0.915, "val_loss": 0.3012082576751709, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.702237069606781, "final_val_loss": 0.6024785041809082, "initial_val_acc": 0.5, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.503207802772522, "final_val_loss": 0.3012082576751709, "initial_val_acc": 0.8, "final_val_acc": 0.86, "best_val_acc": 0.86, "best_epoch": 5}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
393
|
{"target_pattern": "palindrome", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8856, "learning_rate": 0.03701183532935428, "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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[12.014541, 12.652851, 13.717763, 14.036266, 15.066747, 15.400442, 16.847768, 17.002219, 18.025875, 53.785351], [24.530936, 24.779238, 25.213196, 25.238634, 27.325697, 27.523619, 30.453486, 30.622907, 33.970675, 62.142504], [16.931683, 17.158223, 17.238186, 21.061307, 21.644322, 26.865163, 27.710196, 29.915984, 33.322536, 90.028652], [7.369015, 7.558663, 7.791409, 8.017272, 8.154196, 8.663050, 8.754904, 9.403685, 9.630448, 9.991133], [22.265366, 22.665507, 22.915735, 23.884139, 24.372197, 30.003786, 30.961394, 32.485269, 33.654105, 50.506126], [19.263968, 19.530854, 19.712883, 20.336502, 23.174133, 23.312935, 24.992938, 25.945607, 28.545831, 63.927417], [24.766364, 25.330943, 25.733063, 26.382157, 26.517228, 29.543855, 32.191876, 33.875425, 34.870936, 90.623960], [18.085295, 18.141359, 18.482945, 20.179777, 25.721006, 26.512362, 27.935165, 29.423441, 35.978570, 79.239736]]
### 2
fourier: [[21.200264, 21.438584, 21.790490, 25.370578, 25.809370, 26.348279, 29.079641, 35.388785, 36.192065, 72.067192], [22.242405, 22.342925, 26.591975, 26.890722, 28.065343, 28.989318, 30.824983, 32.303089, 36.572062, 58.814489], [29.281101, 30.216475, 37.587262, 38.725761, 39.989146, 43.871510, 45.474495, 52.228298, 55.732953, 161.044203], [13.048563, 13.384033, 15.142992, 15.230433, 15.261900, 16.103132, 16.711574, 17.091857, 17.196112, 70.601035], [18.051753, 18.588717, 18.680747, 20.288069, 20.716306, 20.761337, 21.744840, 23.242282, 33.142299, 106.679576], [12.406582, 12.601216, 13.748893, 14.095732, 14.885086, 15.453308, 15.897371, 16.299501, 19.691415, 19.852455], [27.191888, 28.858755, 31.484944, 32.185666, 33.844080, 39.379998, 40.147123, 45.067677, 51.399915, 180.542655], [14.739126, 15.367517, 15.928556, 16.408575, 17.335186, 19.029548, 19.486984, 22.473011, 23.225785, 112.907785]]
### 4
fourier: [[8.606097, 8.671142, 9.167679, 9.337680, 9.543047, 11.620203, 12.165721, 12.562240, 12.686206, 42.948532], [18.920658, 19.555271, 23.518400, 24.906590, 26.106502, 27.862110, 30.211721, 32.526525, 35.249740, 112.037588], [52.374078, 57.717505, 61.451768, 68.257320, 69.510184, 72.829969, 74.602290, 85.270679, 102.258972, 297.115413], [24.095020, 26.462224, 29.467272, 31.054466, 32.076506, 35.033573, 35.374419, 40.887745, 47.419414, 146.361484], [37.101919, 42.066224, 45.190225, 48.322287, 51.249486, 52.446369, 54.337950, 61.221008, 75.894651, 225.336929], [17.923704, 18.666511, 22.478533, 24.577098, 24.963605, 25.596881, 26.919459, 31.163922, 35.820498, 78.584203], [19.313773, 19.908819, 22.615143, 25.345307, 25.749808, 26.038885, 29.435190, 30.384700, 34.989001, 51.267470], [20.265019, 22.099965, 25.983698, 27.074250, 28.258664, 28.812724, 30.919022, 33.797643, 38.892914, 91.054298]]
### 6
fourier: [[5.613028, 5.621180, 5.893385, 6.172747, 6.599481, 6.685275, 6.827454, 7.344204, 10.019128, 11.391953], [18.344777, 20.059424, 23.140259, 24.353098, 24.702007, 27.255971, 27.350831, 31.351041, 36.293673, 115.482335], [53.130086, 61.201022, 66.993337, 71.491844, 73.806997, 76.980855, 78.780383, 89.990645, 109.670693, 327.054382], [12.760889, 14.163902, 15.051491, 15.227775, 17.268173, 17.762734, 18.017029, 19.836211, 19.898765, 23.296147], [17.684201, 19.821820, 22.248177, 23.903243, 23.931724, 27.381010, 27.675047, 30.733034, 32.724936, 44.681059], [25.324059, 27.437308, 33.227722, 34.619680, 34.914418, 38.564704, 40.658348, 45.176880, 51.438790, 149.804686], [5.984755, 6.185525, 6.474604, 6.671644, 6.817851, 7.193460, 7.369898, 7.564464, 10.082376, 40.753698], [49.504454, 57.332251, 64.179238, 67.263513, 70.076393, 73.337421, 75.893302, 85.502505, 103.211498, 290.380940]]
### 8
fourier: [[25.933359, 26.204821, 28.042782, 31.749740, 32.889720, 34.502996, 37.550816, 40.787771, 48.090315, 57.277549], [6.840258, 7.442889, 7.896405, 8.402987, 8.612815, 8.689917, 8.801876, 9.387294, 9.822828, 11.458257], [16.300771, 17.988140, 19.409446, 19.716972, 22.188986, 22.384536, 23.263617, 26.247537, 32.927784, 87.405697], [36.059076, 38.767245, 43.732351, 44.814517, 48.723817, 49.743102, 53.271696, 59.048292, 72.601704, 170.642111], [8.381803, 8.792828, 9.050071, 9.120251, 9.415682, 10.001993, 10.151780, 10.383208, 11.008163, 39.855977], [47.280876, 55.099073, 60.875476, 63.149684, 66.931235, 68.672207, 72.144440, 81.403211, 99.915355, 268.445861], [14.279331, 14.724213, 16.561981, 18.108117, 18.843063, 20.038794, 20.463811, 22.278400, 23.790473, 27.413821], [61.206118, 71.946189, 78.877139, 82.307008, 87.028575, 88.689080, 93.405735, 104.916268, 129.944303, 329.103033]]
### 10
fourier: [[57.116280, 66.893108, 71.996380, 76.194949, 78.583624, 79.895233, 86.182009, 96.598829, 122.110066, 356.096251], [60.110441, 68.882805, 77.743849, 78.525503, 84.393334, 85.557843, 92.470008, 103.090520, 126.834205, 275.954954], [57.760748, 66.894325, 75.260946, 76.892680, 81.764711, 82.849455, 89.242865, 99.549253, 122.190767, 310.701456], [8.528698, 8.766539, 10.158284, 10.168503, 12.161431, 12.415648, 13.402391, 13.935551, 14.612286, 27.883158], [3.207079, 3.336378, 3.473142, 3.660765, 4.313799, 4.544957, 4.668215, 4.682415, 5.180133, 77.187863], [72.573247, 84.982573, 93.653725, 97.724565, 102.226920, 102.727693, 111.503851, 124.448937, 154.732931, 369.829166], [7.258633, 7.293876, 7.335402, 7.363017, 7.610875, 7.671878, 7.752602, 7.970503, 8.186122, 63.978665], [43.533224, 49.161403, 57.625870, 57.698201, 60.537979, 62.725935, 68.090432, 74.501705, 90.512922, 161.322371]]
### 12
fourier: [[66.332177, 74.109813, 85.447076, 86.575013, 91.117276, 91.578194, 101.580551, 112.506565, 138.005904, 262.039258]]
## 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: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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}
## Activation Signature
### 0
fourier: [[12.014541, 12.652851, 13.717763, 14.036266, 15.066747, 15.400442, 16.847768, 17.002219, 18.025875, 53.785351], [24.530936, 24.779238, 25.213196, 25.238634, 27.325697, 27.523619, 30.453486, 30.622907, 33.970675, 62.142504], [16.931683, 17.158223, 17.238186, 21.061307, 21.644322, 26.865163, 27.710196, 29.915984, 33.322536, 90.028652], [7.369015, 7.558663, 7.791409, 8.017272, 8.154196, 8.663050, 8.754904, 9.403685, 9.630448, 9.991133], [22.265366, 22.665507, 22.915735, 23.884139, 24.372197, 30.003786, 30.961394, 32.485269, 33.654105, 50.506126], [19.263968, 19.530854, 19.712883, 20.336502, 23.174133, 23.312935, 24.992938, 25.945607, 28.545831, 63.927417], [24.766364, 25.330943, 25.733063, 26.382157, 26.517228, 29.543855, 32.191876, 33.875425, 34.870936, 90.623960], [18.085295, 18.141359, 18.482945, 20.179777, 25.721006, 26.512362, 27.935165, 29.423441, 35.978570, 79.239736]]
### 2
fourier: [[21.200264, 21.438584, 21.790490, 25.370578, 25.809370, 26.348279, 29.079641, 35.388785, 36.192065, 72.067192], [22.242405, 22.342925, 26.591975, 26.890722, 28.065343, 28.989318, 30.824983, 32.303089, 36.572062, 58.814489], [29.281101, 30.216475, 37.587262, 38.725761, 39.989146, 43.871510, 45.474495, 52.228298, 55.732953, 161.044203], [13.048563, 13.384033, 15.142992, 15.230433, 15.261900, 16.103132, 16.711574, 17.091857, 17.196112, 70.601035], [18.051753, 18.588717, 18.680747, 20.288069, 20.716306, 20.761337, 21.744840, 23.242282, 33.142299, 106.679576], [12.406582, 12.601216, 13.748893, 14.095732, 14.885086, 15.453308, 15.897371, 16.299501, 19.691415, 19.852455], [27.191888, 28.858755, 31.484944, 32.185666, 33.844080, 39.379998, 40.147123, 45.067677, 51.399915, 180.542655], [14.739126, 15.367517, 15.928556, 16.408575, 17.335186, 19.029548, 19.486984, 22.473011, 23.225785, 112.907785]]
### 4
fourier: [[8.606097, 8.671142, 9.167679, 9.337680, 9.543047, 11.620203, 12.165721, 12.562240, 12.686206, 42.948532], [18.920658, 19.555271, 23.518400, 24.906590, 26.106502, 27.862110, 30.211721, 32.526525, 35.249740, 112.037588], [52.374078, 57.717505, 61.451768, 68.257320, 69.510184, 72.829969, 74.602290, 85.270679, 102.258972, 297.115413], [24.095020, 26.462224, 29.467272, 31.054466, 32.076506, 35.033573, 35.374419, 40.887745, 47.419414, 146.361484], [37.101919, 42.066224, 45.190225, 48.322287, 51.249486, 52.446369, 54.337950, 61.221008, 75.894651, 225.336929], [17.923704, 18.666511, 22.478533, 24.577098, 24.963605, 25.596881, 26.919459, 31.163922, 35.820498, 78.584203], [19.313773, 19.908819, 22.615143, 25.345307, 25.749808, 26.038885, 29.435190, 30.384700, 34.989001, 51.267470], [20.265019, 22.099965, 25.983698, 27.074250, 28.258664, 28.812724, 30.919022, 33.797643, 38.892914, 91.054298]]
### 6
fourier: [[5.613028, 5.621180, 5.893385, 6.172747, 6.599481, 6.685275, 6.827454, 7.344204, 10.019128, 11.391953], [18.344777, 20.059424, 23.140259, 24.353098, 24.702007, 27.255971, 27.350831, 31.351041, 36.293673, 115.482335], [53.130086, 61.201022, 66.993337, 71.491844, 73.806997, 76.980855, 78.780383, 89.990645, 109.670693, 327.054382], [12.760889, 14.163902, 15.051491, 15.227775, 17.268173, 17.762734, 18.017029, 19.836211, 19.898765, 23.296147], [17.684201, 19.821820, 22.248177, 23.903243, 23.931724, 27.381010, 27.675047, 30.733034, 32.724936, 44.681059], [25.324059, 27.437308, 33.227722, 34.619680, 34.914418, 38.564704, 40.658348, 45.176880, 51.438790, 149.804686], [5.984755, 6.185525, 6.474604, 6.671644, 6.817851, 7.193460, 7.369898, 7.564464, 10.082376, 40.753698], [49.504454, 57.332251, 64.179238, 67.263513, 70.076393, 73.337421, 75.893302, 85.502505, 103.211498, 290.380940]]
### 8
fourier: [[25.933359, 26.204821, 28.042782, 31.749740, 32.889720, 34.502996, 37.550816, 40.787771, 48.090315, 57.277549], [6.840258, 7.442889, 7.896405, 8.402987, 8.612815, 8.689917, 8.801876, 9.387294, 9.822828, 11.458257], [16.300771, 17.988140, 19.409446, 19.716972, 22.188986, 22.384536, 23.263617, 26.247537, 32.927784, 87.405697], [36.059076, 38.767245, 43.732351, 44.814517, 48.723817, 49.743102, 53.271696, 59.048292, 72.601704, 170.642111], [8.381803, 8.792828, 9.050071, 9.120251, 9.415682, 10.001993, 10.151780, 10.383208, 11.008163, 39.855977], [47.280876, 55.099073, 60.875476, 63.149684, 66.931235, 68.672207, 72.144440, 81.403211, 99.915355, 268.445861], [14.279331, 14.724213, 16.561981, 18.108117, 18.843063, 20.038794, 20.463811, 22.278400, 23.790473, 27.413821], [61.206118, 71.946189, 78.877139, 82.307008, 87.028575, 88.689080, 93.405735, 104.916268, 129.944303, 329.103033]]
### 10
fourier: [[57.116280, 66.893108, 71.996380, 76.194949, 78.583624, 79.895233, 86.182009, 96.598829, 122.110066, 356.096251], [60.110441, 68.882805, 77.743849, 78.525503, 84.393334, 85.557843, 92.470008, 103.090520, 126.834205, 275.954954], [57.760748, 66.894325, 75.260946, 76.892680, 81.764711, 82.849455, 89.242865, 99.549253, 122.190767, 310.701456], [8.528698, 8.766539, 10.158284, 10.168503, 12.161431, 12.415648, 13.402391, 13.935551, 14.612286, 27.883158], [3.207079, 3.336378, 3.473142, 3.660765, 4.313799, 4.544957, 4.668215, 4.682415, 5.180133, 77.187863], [72.573247, 84.982573, 93.653725, 97.724565, 102.226920, 102.727693, 111.503851, 124.448937, 154.732931, 369.829166], [7.258633, 7.293876, 7.335402, 7.363017, 7.610875, 7.671878, 7.752602, 7.970503, 8.186122, 63.978665], [43.533224, 49.161403, 57.625870, 57.698201, 60.537979, 62.725935, 68.090432, 74.501705, 90.512922, 161.322371]]
### 12
fourier: [[66.332177, 74.109813, 85.447076, 86.575013, 91.117276, 91.578194, 101.580551, 112.506565, 138.005904, 262.039258]]
## 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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.03934, -0.25074, 0.131883, -0.197252, -0.375746], [0.458773, 0.479723, 0.045964, -0.512618, -0.529749], [0.421349, 0.030785, 0.040063, -0.050222, 0.561324], [0.165725, 0.048302, -0.109539, -0.224495, 0.115354], [0.510645, 0.283272, -0.350374, -0.290837, 0.635049], [-0.015112, -0.310514, 0.407478, -0.229913, -0.630609], [-0.51128, -0.512623, 0.325083, 0.461654, 0.551399], [0.567271, -0.112221, -0.143542, 0.092124, 0.543961]], "network.0.bias": [0.421261, -0.478929, -0.248411, 0.210592, -0.018127, 0.293936, 0.228194, -0.189603], "network.2.weight": [[-0.527801, 0.612546, 0.602283, -0.28079, -0.042487, 0.297035, -0.060773, 0.451694], [0.236349, -0.634649, -0.234048, -0.379542, -0.22197, 0.347764, 0.141794, -0.465559], [-0.27428, 0.84385, 0.631485, -0.243273, 0.426829, -0.153751, 0.041417, 0.522588], [-0.077035, 0.486759, 0.244144, 0.014142, -0.018005, 0.148907, -0.498795, -0.353801], [-0.255596, 0.856641, 0.154771, 0.234995, 0.425335, -0.273958, 0.48515, -0.133508], [0.555334, 0.02235, -0.300165, -0.348172, 0.052549, 0.57447, 0.127684, -0.264622], [-0.204687, 0.855339, 0.642058, 0.225216, 0.451937, -0.204645, 0.353403, 0.118413], [-0.340401, 0.243303, -0.351677, 0.425552, 0.049417, -0.098956, -0.423026, -0.266098]], "network.2.bias": [-0.353353, 0.261002, -0.05472, -0.19783, -0.161022, 0.452424, 0.061759, -0.225855], "network.4.weight": [[0.407341, -0.446994, 0.093127, 0.033456, -0.457959, -0.342123, 0.017682, 0.768224], [0.324196, -0.231133, 0.159017, -0.103478, 0.066702, -0.318582, 0.228961, -0.028593], [0.577981, 0.221545, 0.668135, 0.309714, 0.61068, 0.117788, 0.477973, 0.018872], [0.018539, -0.111852, 0.438058, 0.072065, 0.090636, 0.214903, 0.377664, -0.233201], [0.262918, -0.142841, 0.315281, 0.471012, 0.542474, -0.044514, 0.514599, 0.553764], [-0.330695, 0.269579, -0.0789, -0.404283, 0.063637, 0.000465, -0.353549, -0.491141], [-0.341791, 0.457766, -0.179681, 0.03357, -0.391065, 0.421176, 0.05398, -0.120127], [-0.139128, 0.13464, -0.399641, -0.386985, -0.068218, 0.478371, -0.075673, -0.330664]], "network.4.bias": [-0.242284, 0.289165, -0.20153, -0.110982, 0.128949, 0.102212, 0.161993, -0.138527], "network.6.weight": [[-0.443029, 0.254624, -0.042906, 0.197688, -0.299138, 0.362241, -0.129718, -0.197166], [-0.321089, -0.214484, -0.168383, -0.147624, -0.03847, 0.297362, -0.109979, 0.140504], [-0.10248, 0.191927, 0.756335, -0.008995, 0.326975, -0.383196, -0.139853, 0.20904], [-0.342889, 0.443066, -0.072427, -0.263976, -0.209971, -0.116523, 0.683401, 0.217971], [-0.703324, -0.278364, -0.251232, -0.058211, 0.132941, 0.570131, 0.252083, 0.332364], [0.059821, 0.649271, 0.005249, 0.517176, 0.020409, -0.171056, -0.063062, -0.281348], [-0.323074, 0.100814, 0.187051, -0.237364, -0.288957, 0.037404, -0.500831, 0.083682], [0.34069, -0.177544, 0.352791, 0.612527, 0.544108, -0.491319, -0.172149, -0.112995]], "network.6.bias": [0.148876, -0.147343, 0.129178, 0.56701, 0.27971, 0.028944, 0.00965, 0.045298], "network.8.weight": [[0.012331, -0.076796, -0.112708, 0.542003, 0.378382, -0.364627, -0.387968, -0.099029], [0.408973, 0.252423, 0.022338, 0.371009, 0.445321, 0.09921, 0.41932, -0.110951], [-0.48375, -0.286158, 0.089411, -0.166167, -0.211544, -0.352241, 0.103991, 0.362768], [-0.255291, 0.208637, 0.41322, -0.528835, -0.321208, -0.128145, -0.274219, 0.24937], [-0.318781, 0.053833, 0.239581, 0.805284, 0.004767, -0.491141, -0.352203, -0.052343], [-0.430406, -0.207806, 0.377476, -0.082263, -0.311787, -0.126337, -0.186012, 0.590927], [0.018566, 0.492555, -0.11463, -0.274965, -0.080254, 0.617882, 0.239621, 0.049344], [-0.44372, -0.243442, 0.670031, -0.479572, 0.03114, -0.429333, -0.102151, 0.703664]], "network.8.bias": [0.347754, 0.014651, 0.167808, 0.082756, 0.210665, -0.019717, -0.375419, -0.180922], "network.10.weight": [[-0.278939, 0.249267, -0.480326, -0.635903, 0.12067, -0.13502, 0.526197, -0.470582], [-0.777518, 0.133428, 0.214091, 0.588224, 0.048161, 0.149569, 0.357584, 0.40572], [-0.503933, -0.296978, 0.037982, -0.056812, 0.120042, 0.585156, 0.187937, 0.463185], [0.010707, -0.240515, 0.136911, -0.105321, 0.682692, 0.228118, -0.689103, -0.126984], [0.535666, 0.025322, 0.237537, 0.248379, 0.072629, -0.196512, -0.158562, 0.038125], [-0.203467, -0.247679, 0.220174, 0.534286, 0.035745, 0.166989, 0.095218, 0.703163], [0.406516, 0.048838, -0.003531, -0.117433, 0.349901, -0.12351, -0.348219, 0.206277], [0.251217, 0.278751, -0.045973, -0.228771, 0.266425, -0.091852, -0.706666, -0.345854]], "network.10.bias": [-0.157747, -0.259705, 0.088808, 0.288005, 0.371989, -0.369213, 0.386586, 0.425687], "network.12.weight": [[-0.059571, -0.319554, -0.435308, 0.284947, 0.228129, -0.282245, 0.230841, 0.292428]], "network.12.bias": [0.4958]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7338739931583405, "train_acc": 0.43, "val_loss": 0.6915144324302673, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6906169950962067, "train_acc": 0.46, "val_loss": 0.6725015044212341, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6634596288204193, "train_acc": 0.57, "val_loss": 0.6102949380874634, "val_acc": 0.52}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6388880014419556, "train_acc": 0.535, "val_loss": 0.5140207409858704, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5379105508327484, "train_acc": 0.8, "val_loss": 0.3891243040561676, "val_acc": 0.8}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.45405854284763336, "train_acc": 0.82, "val_loss": 0.33620575070381165, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.41018156707286835, "train_acc": 0.84, "val_loss": 0.3001941442489624, "val_acc": 0.86}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.3469495177268982, "train_acc": 0.86, "val_loss": 0.25598010420799255, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.2939400374889374, "train_acc": 0.88, "val_loss": 0.24798797070980072, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.2764924317598343, "train_acc": 0.885, "val_loss": 0.23935039341449738, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.23415619879961014, "train_acc": 0.905, "val_loss": 0.251175194978714, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.2624165564775467, "train_acc": 0.91, "val_loss": 0.2538350820541382, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.20908734947443008, "train_acc": 0.915, "val_loss": 0.26117947697639465, "val_acc": 0.9}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.6915144324302673, "final_val_loss": 0.6102949380874634, "initial_val_acc": 0.48, "final_val_acc": 0.52, "best_val_acc": 0.52}, "improved_stage": {"initial_val_loss": 0.5140207409858704, "final_val_loss": 0.26117947697639465, "initial_val_acc": 0.88, "final_val_acc": 0.9, "best_val_acc": 0.9, "best_epoch": 7}, "improvement": 0.38, "first_improvement_epoch": 2}}
|
394
|
{"target_pattern": "vowel_consonant", "degraded_accuracy": 0.5, "improved_accuracy": 0.72, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5341, "learning_rate": 0.03691505102822523, "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: 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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[
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"network.8.bias": [
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"network.10.weight": [
[
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0.05732,
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0.261238,
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]
],
"network.10.bias": [
0.386893
]
}
## Activation Signature
### 0
fourier: [[17.667589, 18.093873, 18.213128, 19.776830, 20.350617, 20.940957, 21.100655, 24.126953, 25.962902, 123.981245], [14.338241, 14.530652, 15.103238, 15.243390, 18.129214, 18.920604, 21.605081, 21.780424, 25.452730, 29.119908], [12.661309, 13.881471, 13.935036, 13.948636, 14.492466, 14.528126, 14.715185, 16.176866, 19.623891, 47.800806], [15.273514, 15.655711, 15.977228, 16.337028, 17.346723, 17.679999, 17.888057, 17.903961, 24.487267, 28.778759], [14.231120, 14.758673, 15.809836, 15.840134, 16.305460, 16.904056, 17.315893, 17.887935, 18.347032, 81.209737], [23.532173, 25.054518, 25.158582, 25.240666, 26.866608, 27.040458, 28.838023, 30.539192, 35.627260, 101.859192], [16.582966, 16.928680, 17.671825, 17.981758, 18.775770, 21.434529, 21.724799, 21.923414, 31.734563, 66.363509], [14.434240, 14.944605, 15.249809, 17.377242, 18.133707, 18.813793, 21.933727, 24.075023, 25.995317, 178.313833]]
### 2
fourier: [[9.416974, 9.595011, 10.951382, 11.067540, 12.528264, 13.465203, 13.597111, 13.899628, 18.556040, 48.491715], [16.985462, 18.498586, 19.989485, 20.471288, 21.224697, 21.351417, 21.528084, 25.280611, 32.219390, 107.047620], [9.034826, 9.734899, 9.772358, 9.986477, 10.412264, 10.915850, 11.415414, 12.097552, 12.670487, 14.272340], [11.542598, 11.673176, 11.942095, 12.033956, 12.593079, 13.137420, 13.261934, 14.486227, 17.181603, 18.636384], [12.301966, 12.593461, 12.847100, 13.192395, 15.293986, 15.626298, 16.060666, 17.800484, 17.857833, 21.928225], [6.717561, 6.718655, 7.016047, 7.336133, 7.694501, 8.523592, 9.065008, 9.221716, 9.469667, 87.696089], [6.204893, 6.246105, 7.199422, 7.738739, 7.769583, 8.106970, 8.122538, 8.314981, 9.032658, 34.037593], [5.550331, 6.183308, 6.201279, 6.219298, 6.238320, 6.295768, 6.323304, 9.045843, 9.194580, 18.605770]]
### 4
fourier: [[11.558998, 13.955126, 14.376062, 14.554519, 15.025944, 16.243213, 16.249633, 17.129478, 24.670687, 92.006920], [8.359046, 8.803340, 9.132006, 9.208981, 9.729680, 10.858254, 11.610346, 12.118635, 12.335445, 16.928589], [14.048380, 14.333552, 14.770893, 14.898522, 15.132561, 16.829785, 17.927587, 19.477849, 26.437354, 68.008388], [5.729098, 6.058863, 6.428745, 6.715108, 6.898491, 7.029910, 7.806272, 7.993936, 11.338306, 24.277484], [4.031242, 4.243855, 4.251701, 4.270564, 4.618762, 4.892539, 5.061467, 5.265410, 7.252100, 38.361155], [9.793204, 10.234929, 10.815727, 11.140229, 12.001772, 12.763104, 13.929378, 14.166225, 19.744143, 22.750869], [7.006387, 7.516305, 8.216114, 8.545715, 8.654374, 8.661253, 9.017770, 9.126999, 9.310062, 12.893819], [16.288000, 18.088311, 19.462749, 19.623427, 20.641484, 20.848081, 21.520749, 22.294597, 31.171872, 67.041460]]
### 6
fourier: [[22.221390, 24.647163, 24.838488, 27.776139, 28.806274, 29.920776, 30.840431, 32.839382, 46.284444, 164.652286], [4.151655, 4.728739, 5.229845, 5.380218, 5.483205, 5.590296, 5.719092, 6.645432, 8.456771, 58.785207], [24.175264, 27.054847, 28.790356, 30.848998, 32.520119, 32.652289, 33.631965, 37.430262, 50.208396, 167.289167], [2.302284, 2.494422, 2.567039, 2.983571, 3.064283, 3.202855, 3.245944, 3.264826, 4.749844, 42.075154], [22.093977, 25.119141, 25.956602, 28.349062, 29.477950, 30.446312, 31.295667, 33.691530, 46.826820, 173.251366], [12.070496, 12.469271, 13.259370, 14.289207, 14.916325, 15.893636, 15.926644, 17.035982, 24.209861, 89.149649], [3.564756, 4.113464, 4.512915, 4.735874, 4.813218, 5.024963, 5.289739, 5.981544, 7.852045, 50.954615], [9.212708, 10.049319, 11.583540, 12.003647, 12.444970, 12.699982, 12.831562, 14.329081, 18.801991, 25.922219]]
### 8
fourier: [[27.015159, 30.054733, 31.601075, 34.134975, 35.934000, 36.515468, 37.709399, 41.396652, 56.335527, 179.036294], [10.358661, 10.767357, 11.187072, 12.337462, 12.681144, 13.506860, 13.741860, 14.360936, 20.763268, 57.077707], [0.856371, 1.096026, 1.098327, 1.175192, 1.180072, 1.254570, 1.293359, 1.354743, 1.662728, 11.778358], [27.481923, 30.719692, 32.315686, 34.852795, 36.644376, 37.260326, 38.396322, 42.173931, 57.375160, 191.569731], [22.040214, 24.916854, 25.825716, 28.151582, 29.501845, 30.148512, 30.982453, 33.852376, 46.395572, 148.594163], [23.783984, 26.130320, 27.706629, 29.708819, 31.403235, 31.838192, 32.945917, 36.304162, 49.154399, 164.396453], [4.303465, 4.392157, 4.875394, 5.144525, 5.493267, 5.753349, 5.888345, 6.020677, 6.607104, 8.993593], [15.825676, 17.722676, 18.893177, 20.291990, 21.326345, 21.451357, 22.186904, 24.513786, 33.085595, 111.061031]]
### 10
fourier: [[18.875358, 21.344202, 22.239662, 24.199921, 25.349306, 25.797873, 26.626604, 29.121268, 39.981878, 88.321823]]
## 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: 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: [[17.667589, 18.093873, 18.213128, 19.776830, 20.350617, 20.940957, 21.100655, 24.126953, 25.962902, 123.981245], [14.338241, 14.530652, 15.103238, 15.243390, 18.129214, 18.920604, 21.605081, 21.780424, 25.452730, 29.119908], [12.661309, 13.881471, 13.935036, 13.948636, 14.492466, 14.528126, 14.715185, 16.176866, 19.623891, 47.800806], [15.273514, 15.655711, 15.977228, 16.337028, 17.346723, 17.679999, 17.888057, 17.903961, 24.487267, 28.778759], [14.231120, 14.758673, 15.809836, 15.840134, 16.305460, 16.904056, 17.315893, 17.887935, 18.347032, 81.209737], [23.532173, 25.054518, 25.158582, 25.240666, 26.866608, 27.040458, 28.838023, 30.539192, 35.627260, 101.859192], [16.582966, 16.928680, 17.671825, 17.981758, 18.775770, 21.434529, 21.724799, 21.923414, 31.734563, 66.363509], [14.434240, 14.944605, 15.249809, 17.377242, 18.133707, 18.813793, 21.933727, 24.075023, 25.995317, 178.313833]]
### 2
fourier: [[9.416974, 9.595011, 10.951382, 11.067540, 12.528264, 13.465203, 13.597111, 13.899628, 18.556040, 48.491715], [16.985462, 18.498586, 19.989485, 20.471288, 21.224697, 21.351417, 21.528084, 25.280611, 32.219390, 107.047620], [9.034826, 9.734899, 9.772358, 9.986477, 10.412264, 10.915850, 11.415414, 12.097552, 12.670487, 14.272340], [11.542598, 11.673176, 11.942095, 12.033956, 12.593079, 13.137420, 13.261934, 14.486227, 17.181603, 18.636384], [12.301966, 12.593461, 12.847100, 13.192395, 15.293986, 15.626298, 16.060666, 17.800484, 17.857833, 21.928225], [6.717561, 6.718655, 7.016047, 7.336133, 7.694501, 8.523592, 9.065008, 9.221716, 9.469667, 87.696089], [6.204893, 6.246105, 7.199422, 7.738739, 7.769583, 8.106970, 8.122538, 8.314981, 9.032658, 34.037593], [5.550331, 6.183308, 6.201279, 6.219298, 6.238320, 6.295768, 6.323304, 9.045843, 9.194580, 18.605770]]
### 4
fourier: [[11.558998, 13.955126, 14.376062, 14.554519, 15.025944, 16.243213, 16.249633, 17.129478, 24.670687, 92.006920], [8.359046, 8.803340, 9.132006, 9.208981, 9.729680, 10.858254, 11.610346, 12.118635, 12.335445, 16.928589], [14.048380, 14.333552, 14.770893, 14.898522, 15.132561, 16.829785, 17.927587, 19.477849, 26.437354, 68.008388], [5.729098, 6.058863, 6.428745, 6.715108, 6.898491, 7.029910, 7.806272, 7.993936, 11.338306, 24.277484], [4.031242, 4.243855, 4.251701, 4.270564, 4.618762, 4.892539, 5.061467, 5.265410, 7.252100, 38.361155], [9.793204, 10.234929, 10.815727, 11.140229, 12.001772, 12.763104, 13.929378, 14.166225, 19.744143, 22.750869], [7.006387, 7.516305, 8.216114, 8.545715, 8.654374, 8.661253, 9.017770, 9.126999, 9.310062, 12.893819], [16.288000, 18.088311, 19.462749, 19.623427, 20.641484, 20.848081, 21.520749, 22.294597, 31.171872, 67.041460]]
### 6
fourier: [[22.221390, 24.647163, 24.838488, 27.776139, 28.806274, 29.920776, 30.840431, 32.839382, 46.284444, 164.652286], [4.151655, 4.728739, 5.229845, 5.380218, 5.483205, 5.590296, 5.719092, 6.645432, 8.456771, 58.785207], [24.175264, 27.054847, 28.790356, 30.848998, 32.520119, 32.652289, 33.631965, 37.430262, 50.208396, 167.289167], [2.302284, 2.494422, 2.567039, 2.983571, 3.064283, 3.202855, 3.245944, 3.264826, 4.749844, 42.075154], [22.093977, 25.119141, 25.956602, 28.349062, 29.477950, 30.446312, 31.295667, 33.691530, 46.826820, 173.251366], [12.070496, 12.469271, 13.259370, 14.289207, 14.916325, 15.893636, 15.926644, 17.035982, 24.209861, 89.149649], [3.564756, 4.113464, 4.512915, 4.735874, 4.813218, 5.024963, 5.289739, 5.981544, 7.852045, 50.954615], [9.212708, 10.049319, 11.583540, 12.003647, 12.444970, 12.699982, 12.831562, 14.329081, 18.801991, 25.922219]]
### 8
fourier: [[27.015159, 30.054733, 31.601075, 34.134975, 35.934000, 36.515468, 37.709399, 41.396652, 56.335527, 179.036294], [10.358661, 10.767357, 11.187072, 12.337462, 12.681144, 13.506860, 13.741860, 14.360936, 20.763268, 57.077707], [0.856371, 1.096026, 1.098327, 1.175192, 1.180072, 1.254570, 1.293359, 1.354743, 1.662728, 11.778358], [27.481923, 30.719692, 32.315686, 34.852795, 36.644376, 37.260326, 38.396322, 42.173931, 57.375160, 191.569731], [22.040214, 24.916854, 25.825716, 28.151582, 29.501845, 30.148512, 30.982453, 33.852376, 46.395572, 148.594163], [23.783984, 26.130320, 27.706629, 29.708819, 31.403235, 31.838192, 32.945917, 36.304162, 49.154399, 164.396453], [4.303465, 4.392157, 4.875394, 5.144525, 5.493267, 5.753349, 5.888345, 6.020677, 6.607104, 8.993593], [15.825676, 17.722676, 18.893177, 20.291990, 21.326345, 21.451357, 22.186904, 24.513786, 33.085595, 111.061031]]
### 10
fourier: [[18.875358, 21.344202, 22.239662, 24.199921, 25.349306, 25.797873, 26.626604, 29.121268, 39.981878, 88.321823]]
## 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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|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7070290744304657, "train_acc": 0.43, "val_loss": 0.7081235647201538, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6728723049163818, "train_acc": 0.575, "val_loss": 0.7285900712013245, "val_acc": 0.5}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6669023334980011, "train_acc": 0.575, "val_loss": 0.69565749168396, "val_acc": 0.5}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.6414937376976013, "train_acc": 0.575, "val_loss": 0.6750906109809875, "val_acc": 0.5}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.6651647984981537, "train_acc": 0.575, "val_loss": 0.6709975600242615, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.6278322041034698, "train_acc": 0.57, "val_loss": 0.7127664089202881, "val_acc": 0.66}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.6147108376026154, "train_acc": 0.705, "val_loss": 0.621766209602356, "val_acc": 0.68}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5847114026546478, "train_acc": 0.715, "val_loss": 0.6657862663269043, "val_acc": 0.72}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5403763353824615, "train_acc": 0.71, "val_loss": 0.769288957118988, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.5374475121498108, "train_acc": 0.715, "val_loss": 0.8195574879646301, "val_acc": 0.68}], "summary": {"total_epochs": 10, "degraded_epochs": 5, "improved_epochs": 5, "patterns": ["vowel_consonant"], "degraded_stage": {"initial_val_loss": 0.7081235647201538, "final_val_loss": 0.6709975600242615, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.7127664089202881, "final_val_loss": 0.8195574879646301, "initial_val_acc": 0.66, "final_val_acc": 0.68, "best_val_acc": 0.72, "best_epoch": 7}, "improvement": 0.21999999999999997, "first_improvement_epoch": 4}}
|
395
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4204, "learning_rate": 0.06446705587681753, "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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[26.221970, 27.440282, 27.667587, 28.001572, 29.040872, 29.175904, 31.652532, 31.694977, 34.042431, 193.689129], [25.638699, 25.881835, 26.518567, 26.525382, 28.986173, 30.765204, 31.642042, 31.772769, 35.001434, 151.419981], [32.728076, 34.996401, 35.050915, 37.105687, 38.541940, 38.913099, 40.059444, 45.387077, 53.423644, 371.937573], [17.782640, 18.363593, 19.413028, 19.952756, 20.420406, 21.273495, 21.532143, 26.141292, 26.341704, 123.647551], [14.949047, 15.116446, 15.928842, 16.969567, 17.216096, 17.720268, 18.106344, 18.321712, 18.425903, 127.034256], [19.469001, 23.569014, 24.646442, 25.259645, 25.346832, 26.788704, 28.348733, 29.420864, 29.880102, 119.166724]]
### 2
fourier: [[28.050114, 29.126869, 30.377994, 31.670180, 33.127635, 34.271171, 34.384641, 37.772602, 41.615455, 143.272999], [35.792709, 38.698542, 39.064904, 40.882510, 41.615701, 42.101496, 46.632999, 47.683970, 48.144033, 435.943912], [37.682537, 38.789067, 38.942126, 39.665161, 41.449084, 45.486566, 46.728031, 49.403280, 51.589983, 345.828480], [12.699804, 12.805861, 12.808860, 13.190658, 13.635551, 14.003549, 14.320391, 14.662641, 17.224705, 38.633935], [16.182503, 16.520392, 16.891581, 19.764930, 20.334006, 22.541146, 22.607776, 24.008632, 28.390360, 55.072643], [16.582405, 17.552936, 17.782450, 18.849174, 19.005148, 20.035193, 21.095447, 23.480223, 26.679717, 192.974559]]
### 4
fourier: [[47.327967, 49.787754, 51.057562, 51.916937, 52.114056, 57.150635, 61.879674, 62.051661, 66.509346, 466.328464], [22.111424, 22.589228, 23.991088, 27.495923, 28.653560, 30.521128, 32.064883, 32.098070, 33.863245, 81.994783], [28.048273, 28.087077, 29.347626, 34.371506, 34.832455, 37.343646, 38.837585, 39.626536, 41.430066, 92.963997], [13.561600, 13.681734, 14.449350, 14.467609, 15.717321, 15.999981, 17.358457, 20.268951, 22.400423, 214.246155], [25.585002, 25.903069, 26.863979, 30.982268, 31.609561, 33.645356, 34.349219, 36.540494, 38.734909, 68.665399], [19.562981, 19.766536, 19.815473, 20.049976, 22.103174, 22.540085, 22.957313, 28.446430, 30.467153, 248.762185]]
### 6
fourier: [[12.609476, 13.541879, 14.791876, 14.792515, 15.028222, 15.035802, 20.693527, 21.165119, 22.904128, 192.958271], [14.481970, 14.720532, 14.912433, 15.780502, 15.848897, 17.251891, 18.983730, 19.077343, 20.157023, 224.715880], [18.525332, 20.529294, 21.924055, 22.043516, 22.898039, 23.954743, 28.867767, 29.266102, 29.887155, 193.857549], [9.719818, 11.796029, 12.040982, 12.468245, 13.141134, 13.276588, 14.972239, 15.403178, 15.907264, 89.481502], [49.772185, 50.972256, 56.910045, 61.461141, 61.783156, 63.929926, 70.360023, 72.483124, 76.536530, 266.197814], [9.894386, 12.228590, 12.351369, 13.133271, 13.354608, 13.988327, 15.215923, 15.674875, 16.740509, 97.000775]]
### 8
fourier: [[26.064709, 26.408919, 26.763161, 28.376043, 28.874479, 33.178594, 34.111860, 34.381637, 38.361055, 212.342387]]
## 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: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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-0.208993,
-0.301158,
-0.576349,
0.42128
],
[
-0.06362,
0.076712,
-0.221493,
0.132427,
-0.32339,
-0.328371
],
[
0.720192,
-0.251998,
-0.499683,
0.07748,
-0.392035,
0.295768
],
[
-0.068013,
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-0.295803,
-0.035514,
-0.024013
]
],
"network.6.bias": [
-0.074131,
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-0.20341,
-0.121547,
0.559857,
-0.124365
],
"network.8.weight": [
[
0.024764,
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-0.156124,
-0.011858,
-0.679053,
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]
],
"network.8.bias": [
0.135055
]
}
## Activation Signature
### 0
fourier: [[26.221970, 27.440282, 27.667587, 28.001572, 29.040872, 29.175904, 31.652532, 31.694977, 34.042431, 193.689129], [25.638699, 25.881835, 26.518567, 26.525382, 28.986173, 30.765204, 31.642042, 31.772769, 35.001434, 151.419981], [32.728076, 34.996401, 35.050915, 37.105687, 38.541940, 38.913099, 40.059444, 45.387077, 53.423644, 371.937573], [17.782640, 18.363593, 19.413028, 19.952756, 20.420406, 21.273495, 21.532143, 26.141292, 26.341704, 123.647551], [14.949047, 15.116446, 15.928842, 16.969567, 17.216096, 17.720268, 18.106344, 18.321712, 18.425903, 127.034256], [19.469001, 23.569014, 24.646442, 25.259645, 25.346832, 26.788704, 28.348733, 29.420864, 29.880102, 119.166724]]
### 2
fourier: [[28.050114, 29.126869, 30.377994, 31.670180, 33.127635, 34.271171, 34.384641, 37.772602, 41.615455, 143.272999], [35.792709, 38.698542, 39.064904, 40.882510, 41.615701, 42.101496, 46.632999, 47.683970, 48.144033, 435.943912], [37.682537, 38.789067, 38.942126, 39.665161, 41.449084, 45.486566, 46.728031, 49.403280, 51.589983, 345.828480], [12.699804, 12.805861, 12.808860, 13.190658, 13.635551, 14.003549, 14.320391, 14.662641, 17.224705, 38.633935], [16.182503, 16.520392, 16.891581, 19.764930, 20.334006, 22.541146, 22.607776, 24.008632, 28.390360, 55.072643], [16.582405, 17.552936, 17.782450, 18.849174, 19.005148, 20.035193, 21.095447, 23.480223, 26.679717, 192.974559]]
### 4
fourier: [[47.327967, 49.787754, 51.057562, 51.916937, 52.114056, 57.150635, 61.879674, 62.051661, 66.509346, 466.328464], [22.111424, 22.589228, 23.991088, 27.495923, 28.653560, 30.521128, 32.064883, 32.098070, 33.863245, 81.994783], [28.048273, 28.087077, 29.347626, 34.371506, 34.832455, 37.343646, 38.837585, 39.626536, 41.430066, 92.963997], [13.561600, 13.681734, 14.449350, 14.467609, 15.717321, 15.999981, 17.358457, 20.268951, 22.400423, 214.246155], [25.585002, 25.903069, 26.863979, 30.982268, 31.609561, 33.645356, 34.349219, 36.540494, 38.734909, 68.665399], [19.562981, 19.766536, 19.815473, 20.049976, 22.103174, 22.540085, 22.957313, 28.446430, 30.467153, 248.762185]]
### 6
fourier: [[12.609476, 13.541879, 14.791876, 14.792515, 15.028222, 15.035802, 20.693527, 21.165119, 22.904128, 192.958271], [14.481970, 14.720532, 14.912433, 15.780502, 15.848897, 17.251891, 18.983730, 19.077343, 20.157023, 224.715880], [18.525332, 20.529294, 21.924055, 22.043516, 22.898039, 23.954743, 28.867767, 29.266102, 29.887155, 193.857549], [9.719818, 11.796029, 12.040982, 12.468245, 13.141134, 13.276588, 14.972239, 15.403178, 15.907264, 89.481502], [49.772185, 50.972256, 56.910045, 61.461141, 61.783156, 63.929926, 70.360023, 72.483124, 76.536530, 266.197814], [9.894386, 12.228590, 12.351369, 13.133271, 13.354608, 13.988327, 15.215923, 15.674875, 16.740509, 97.000775]]
### 8
fourier: [[26.064709, 26.408919, 26.763161, 28.376043, 28.874479, 33.178594, 34.111860, 34.381637, 38.361055, 212.342387]]
## 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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41.44908425630226, 45.48656593137874, 46.7280314718387, 49.40327951926475, 51.58998296622915, 345.8284799158573]}, "3": {"fourier": [12.699803730880227, 12.805861281115742, 12.80885957213162, 13.190658324361227, 13.635551100222502, 14.003549091763587, 14.320391465833401, 14.662641154176331, 17.224704591661943, 38.63393461331725]}, "4": {"fourier": [16.182502946744734, 16.520391859679762, 16.891580822906757, 19.764930275907744, 20.334005832501784, 22.541145854231736, 22.607776464548913, 24.00863201789525, 28.39036011325217, 55.07264342904091]}, "5": {"fourier": [16.582405098495443, 17.552935982167725, 17.782449803342185, 18.84917434758332, 19.00514767003715, 20.035192590473986, 21.095446871547573, 23.480222671966967, 26.679716582471908, 192.97455894947052]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [47.32796669609264, 49.78775396182339, 51.05756227142844, 51.91693712401267, 52.11405642740261, 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["fourier"]}}}, "model_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"}}
|
{"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": [[-0.578763, -0.150679, 0.373075, 0.585265, 0.488993], [-0.535919, -0.029597, 0.503806, 0.322621, 0.650857], [0.70653, 0.329404, 0.413336, 0.348147, 0.360024], [-0.445529, 0.21904, 0.279207, 0.302155, 0.393461], [0.005724, 0.151094, -0.167537, -0.407377, -0.311571], [0.543869, 0.10229, 0.325006, -0.120409, 0.063422]], "network.0.bias": [0.509438, -0.143665, 0.59913, -0.187298, -0.086105, -0.038045], "network.2.weight": [[-0.251604, -0.121417, 0.44579, -0.329695, 0.207972, 0.540778], [0.5162, 0.656171, 0.317852, 0.230895, 0.013758, 0.182984], [0.761282, 0.470048, 0.152939, 0.442147, -0.294822, -0.434916], [-0.264226, -0.059944, 0.126747, 0.184311, 0.384566, 0.300032], [-0.126884, -0.536613, 0.267366, -0.00244, -0.138015, 0.274748], [0.041053, -0.081877, -0.330927, -0.119723, 0.020529, -0.269016]], "network.2.bias": [0.297685, 0.55667, 0.549507, -0.065416, 0.413833, -0.177568], "network.4.weight": [[-0.055945, 0.505768, 0.734328, -0.490838, -0.269986, -0.089713], [0.24215, 0.247072, -0.377299, 0.246387, 0.490853, 0.044025], [0.613364, 0.069376, -0.203403, 0.186182, 0.441464, 0.097159], [-0.404535, 0.004686, -0.322919, -0.075326, -0.248075, 0.219714], [0.614658, 0.196745, -0.324694, 0.079746, 0.186045, 0.068428], [-0.49918, -0.373961, -0.051414, 0.118805, -0.05285, 0.028198]], "network.4.bias": [0.483738, 0.229947, 0.007153, -0.251054, -0.146876, 0.0453], "network.6.weight": [[-0.237285, -0.403182, -0.510751, -0.319494, 0.241852, -0.455225], [-0.336241, -0.202098, 0.017332, -0.384343, -0.300909, -0.050935], [-0.172746, -0.159229, -0.208993, -0.301158, -0.576349, 0.42128], [-0.06362, 0.076712, -0.221493, 0.132427, -0.32339, -0.328371], [0.720192, -0.251998, -0.499683, 0.07748, -0.392035, 0.295768], [-0.068013, -0.165777, -0.297478, -0.295803, -0.035514, -0.024013]], "network.6.bias": [-0.074131, -0.234613, -0.20341, -0.121547, 0.559857, -0.124365], "network.8.weight": [[0.024764, 0.113023, -0.156124, -0.011858, -0.679053, 0.055109]], "network.8.bias": [0.135055]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6951733529567719, "train_acc": 0.5, "val_loss": 0.6782501339912415, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6390461921691895, "train_acc": 0.59, "val_loss": 0.6038692593574524, "val_acc": 0.44}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5358200371265411, "train_acc": 0.515, "val_loss": 0.4710524082183838, "val_acc": 0.88}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.42217153310775757, "train_acc": 0.88, "val_loss": 0.40900689363479614, "val_acc": 0.94}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3683101534843445, "train_acc": 0.92, "val_loss": 0.37715548276901245, "val_acc": 0.94}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.3279247581958771, "train_acc": 0.93, "val_loss": 0.34844261407852173, "val_acc": 0.94}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.320070818066597, "train_acc": 0.93, "val_loss": 0.32192376255989075, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.2960894852876663, "train_acc": 0.925, "val_loss": 0.3217288553714752, "val_acc": 0.92}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.29788675904273987, "train_acc": 0.91, "val_loss": 0.3067026436328888, "val_acc": 0.92}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.2909734547138214, "train_acc": 0.915, "val_loss": 0.29260167479515076, "val_acc": 0.92}, {"stage": "improved", "epoch": 8, "global_epoch": 10, "train_loss": 0.24284161627292633, "train_acc": 0.93, "val_loss": 0.2555523216724396, "val_acc": 0.94}, {"stage": "improved", "epoch": 9, "global_epoch": 11, "train_loss": 0.23866289108991623, "train_acc": 0.925, "val_loss": 0.25009939074516296, "val_acc": 0.94}], "summary": {"total_epochs": 12, "degraded_epochs": 2, "improved_epochs": 10, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.6782501339912415, "final_val_loss": 0.6038692593574524, "initial_val_acc": 0.44, "final_val_acc": 0.44, "best_val_acc": 0.44}, "improved_stage": {"initial_val_loss": 0.4710524082183838, "final_val_loss": 0.25009939074516296, "initial_val_acc": 0.88, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 3}, "improvement": 0.49999999999999994, "first_improvement_epoch": 1}}
|
396
|
{"target_pattern": "sorted_descending", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "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": 7939, "learning_rate": 0.05592081545831785, "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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[
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[
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"network.0.bias": [
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"network.2.weight": [
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"network.2.bias": [
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"network.4.weight": [
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[
0.636268,
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0.508887,
0.312969,
-0.036465
],
[
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0.121075,
0.570774,
0.419634,
0.736802
],
[
0.446782,
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]
],
"network.4.bias": [
0.617659,
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],
"network.6.weight": [
[
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],
"network.8.weight": [
[
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]
],
"network.8.bias": [
0.192861
]
}
## Activation Signature
### 0
fourier: [[25.559213, 25.662302, 26.806936, 27.527696, 30.965611, 32.033484, 32.972936, 33.487213, 34.510563, 65.370575], [23.752012, 23.885082, 24.155782, 24.432289, 24.583512, 26.866055, 29.688046, 30.190952, 31.044079, 104.834264], [19.204148, 19.225782, 19.493199, 19.636694, 21.779957, 22.898109, 23.786479, 24.742710, 25.379283, 33.934739], [21.736888, 21.792232, 23.860916, 24.060447, 25.055359, 26.318477, 27.344058, 34.112428, 36.001999, 73.699149], [23.132310, 23.736956, 24.800468, 26.279900, 26.849552, 27.324958, 32.914066, 33.704502, 42.074018, 54.518719]]
### 2
fourier: [[21.092381, 23.289328, 23.670384, 24.829170, 25.405268, 26.304939, 26.536573, 26.991462, 31.210859, 144.458668], [7.126133, 7.723488, 8.620765, 8.985249, 9.001521, 9.368723, 10.484428, 10.529645, 10.967623, 27.983905], [27.252162, 30.112693, 31.316842, 31.964219, 32.694099, 34.234433, 41.292276, 41.550086, 48.873372, 189.144950], [8.395726, 9.223867, 9.522595, 9.730273, 10.273320, 11.869039, 13.707144, 13.862313, 13.948331, 104.796071], [16.693138, 17.145503, 17.209988, 18.393418, 18.505413, 20.539381, 23.363303, 24.793163, 26.649492, 132.490755]]
### 4
fourier: [[11.619579, 11.699334, 13.164156, 13.933214, 14.451154, 14.827613, 15.232934, 17.932596, 19.390990, 21.760387], [33.695914, 34.478901, 37.534661, 39.462439, 43.228455, 44.780451, 50.878119, 52.752673, 56.852161, 262.609320], [24.275779, 27.050907, 27.551692, 29.009679, 31.700322, 32.136633, 36.757070, 38.057592, 40.961404, 171.108981], [24.865456, 25.301521, 25.557361, 26.394940, 26.464586, 33.655821, 34.731641, 37.545663, 39.462747, 189.036951], [35.581655, 36.422810, 37.133312, 39.570714, 42.569426, 47.759053, 52.552017, 56.068021, 60.313930, 228.019818]]
### 6
fourier: [[49.882229, 50.755272, 53.801738, 56.010527, 61.671588, 67.117045, 74.618261, 77.551025, 84.989055, 350.095716], [21.873067, 22.019942, 23.727139, 23.848632, 26.824573, 27.639909, 30.850237, 31.300450, 36.908189, 44.512443], [55.478996, 56.086081, 60.956482, 63.032163, 68.567044, 76.028636, 82.682890, 86.059169, 94.536213, 388.610681], [5.329303, 5.781427, 5.851998, 5.856629, 5.890524, 5.918268, 6.333228, 6.376923, 7.080177, 76.406097], [51.413264, 52.322778, 57.293818, 59.493923, 63.701003, 72.424515, 77.247719, 80.980489, 87.109699, 387.748801]]
### 8
fourier: [[71.282450, 71.859013, 79.666942, 80.267846, 87.817783, 99.066213, 108.573452, 111.303492, 120.672673, 463.611482]]
## 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": [
[
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0.389424,
0.442129
],
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],
[
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0.554415
],
[
-0.690386,
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],
[
-0.116595,
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]
],
"network.0.bias": [
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],
"network.2.weight": [
[
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],
[
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],
[
0.762288,
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],
[
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],
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-0.089843,
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]
],
"network.2.bias": [
-0.493346,
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0.144036,
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],
"network.4.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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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[25.559213, 25.662302, 26.806936, 27.527696, 30.965611, 32.033484, 32.972936, 33.487213, 34.510563, 65.370575], [23.752012, 23.885082, 24.155782, 24.432289, 24.583512, 26.866055, 29.688046, 30.190952, 31.044079, 104.834264], [19.204148, 19.225782, 19.493199, 19.636694, 21.779957, 22.898109, 23.786479, 24.742710, 25.379283, 33.934739], [21.736888, 21.792232, 23.860916, 24.060447, 25.055359, 26.318477, 27.344058, 34.112428, 36.001999, 73.699149], [23.132310, 23.736956, 24.800468, 26.279900, 26.849552, 27.324958, 32.914066, 33.704502, 42.074018, 54.518719]]
### 2
fourier: [[21.092381, 23.289328, 23.670384, 24.829170, 25.405268, 26.304939, 26.536573, 26.991462, 31.210859, 144.458668], [7.126133, 7.723488, 8.620765, 8.985249, 9.001521, 9.368723, 10.484428, 10.529645, 10.967623, 27.983905], [27.252162, 30.112693, 31.316842, 31.964219, 32.694099, 34.234433, 41.292276, 41.550086, 48.873372, 189.144950], [8.395726, 9.223867, 9.522595, 9.730273, 10.273320, 11.869039, 13.707144, 13.862313, 13.948331, 104.796071], [16.693138, 17.145503, 17.209988, 18.393418, 18.505413, 20.539381, 23.363303, 24.793163, 26.649492, 132.490755]]
### 4
fourier: [[11.619579, 11.699334, 13.164156, 13.933214, 14.451154, 14.827613, 15.232934, 17.932596, 19.390990, 21.760387], [33.695914, 34.478901, 37.534661, 39.462439, 43.228455, 44.780451, 50.878119, 52.752673, 56.852161, 262.609320], [24.275779, 27.050907, 27.551692, 29.009679, 31.700322, 32.136633, 36.757070, 38.057592, 40.961404, 171.108981], [24.865456, 25.301521, 25.557361, 26.394940, 26.464586, 33.655821, 34.731641, 37.545663, 39.462747, 189.036951], [35.581655, 36.422810, 37.133312, 39.570714, 42.569426, 47.759053, 52.552017, 56.068021, 60.313930, 228.019818]]
### 6
fourier: [[49.882229, 50.755272, 53.801738, 56.010527, 61.671588, 67.117045, 74.618261, 77.551025, 84.989055, 350.095716], [21.873067, 22.019942, 23.727139, 23.848632, 26.824573, 27.639909, 30.850237, 31.300450, 36.908189, 44.512443], [55.478996, 56.086081, 60.956482, 63.032163, 68.567044, 76.028636, 82.682890, 86.059169, 94.536213, 388.610681], [5.329303, 5.781427, 5.851998, 5.856629, 5.890524, 5.918268, 6.333228, 6.376923, 7.080177, 76.406097], [51.413264, 52.322778, 57.293818, 59.493923, 63.701003, 72.424515, 77.247719, 80.980489, 87.109699, 387.748801]]
### 8
fourier: [[71.282450, 71.859013, 79.666942, 80.267846, 87.817783, 99.066213, 108.573452, 111.303492, 120.672673, 463.611482]]
## 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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120.67267328848965, 463.61148220300674]}}, "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": 5, "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.683021, -0.420401, 0.417722, 0.389424, 0.442129], [0.544492, 0.365282, -0.301607, -0.228115, 0.511112], [-0.169453, -0.591202, 0.071537, 0.044901, 0.554415], [-0.690386, 0.15601, -0.031525, 0.459753, 0.394742], [-0.116595, 0.573977, -0.217592, 0.378942, -0.609643]], "network.0.bias": [0.08942, 0.310442, 0.145057, -0.013168, 0.098744], "network.2.weight": [[0.7993, 0.203465, 0.589434, 0.284656, 0.226691], [-0.300544, 0.145249, 0.026729, -0.029992, -0.288759], [0.762288, -0.461321, 0.704247, 0.678182, 0.493892], [-0.219717, -0.377369, -0.087941, -0.070208, 0.106031], [-0.089843, -0.159651, 0.832625, 0.689682, 0.446542]], "network.2.bias": [-0.493346, 0.799901, 0.144036, -0.37152, 0.109502], "network.4.weight": [[0.094767, 0.699647, -0.291867, 0.151024, -0.217661], [0.668279, -0.306386, 0.75378, -0.283068, 0.148406], [0.636268, -0.311612, 0.508887, 0.312969, -0.036465], [-0.080594, 0.121075, 0.570774, 0.419634, 0.736802], [0.446782, -0.647274, 0.689984, -0.147959, 0.525416]], "network.4.bias": [0.617659, 0.057157, -0.081864, -0.195952, -0.230162], "network.6.weight": [[-0.441954, 0.677356, 0.351701, 0.363095, 0.234357], [0.434424, 0.162216, -0.510478, 0.478018, -0.695181], [-0.307841, 0.478089, 0.449048, 0.384346, 0.547985], [-0.277127, -0.365155, 0.321873, 0.357257, -0.277149], [0.109361, 0.595562, 0.262531, 0.777183, 0.246463]], "network.6.bias": [0.054945, 0.662809, -0.080547, -0.272695, -0.303323], "network.8.weight": [[-0.292487, 0.592327, -0.57302, -0.267304, -0.45036]], "network.8.bias": [0.192861]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920695602893829, "train_acc": 0.57, "val_loss": 0.699629008769989, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652208536863327, "train_acc": 0.57, "val_loss": 0.6432833671569824, "val_acc": 0.5}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.606995552778244, "train_acc": 0.5, "val_loss": 0.5203219652175903, "val_acc": 0.5}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.47509101033210754, "train_acc": 0.62, "val_loss": 0.4176769554615021, "val_acc": 0.84}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.3796922266483307, "train_acc": 0.91, "val_loss": 0.31598904728889465, "val_acc": 0.92}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.29837894439697266, "train_acc": 0.93, "val_loss": 0.23385724425315857, "val_acc": 0.96}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.24810563027858734, "train_acc": 0.93, "val_loss": 0.19385820627212524, "val_acc": 0.94}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.18377213925123215, "train_acc": 0.95, "val_loss": 0.2774384021759033, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.19640225917100906, "train_acc": 0.935, "val_loss": 0.30186405777931213, "val_acc": 0.9}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.21695883572101593, "train_acc": 0.94, "val_loss": 0.2875702679157257, "val_acc": 0.92}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["sorted_descending"], "degraded_stage": {"initial_val_loss": 0.699629008769989, "final_val_loss": 0.6432833671569824, "initial_val_acc": 0.5, "final_val_acc": 0.5, "best_val_acc": 0.5}, "improved_stage": {"initial_val_loss": 0.5203219652175903, "final_val_loss": 0.2875702679157257, "initial_val_acc": 0.5, "final_val_acc": 0.92, "best_val_acc": 0.96, "best_epoch": 5}, "improvement": 0.45999999999999996, "first_improvement_epoch": 1}}
|
397
|
{"target_pattern": "palindrome", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1527, "learning_rate": 0.021478815687944606, "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:
{
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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: [[10.136695, 10.581846, 10.733430, 11.237521, 11.886954, 12.620036, 13.192054, 13.346669, 14.784583, 27.411745], [21.980654, 22.102400, 22.935543, 23.263899, 26.129190, 26.657902, 27.038500, 28.123394, 28.184109, 142.749331], [13.685972, 14.085361, 14.431969, 14.731680, 15.727609, 16.042039, 16.457551, 16.671016, 19.512923, 103.034870], [14.481261, 14.903431, 15.658794, 16.555461, 18.169846, 20.123989, 22.120595, 22.284789, 23.012934, 67.557262], [6.622134, 6.630399, 6.825413, 7.013610, 7.337329, 8.488735, 8.922686, 9.727789, 11.458446, 56.812816], [14.857732, 15.506602, 16.159376, 16.336955, 17.024994, 19.428567, 21.704884, 22.766721, 23.658572, 127.991610]]
### 2
fourier: [[18.819199, 19.870675, 20.014695, 21.820827, 22.233090, 22.711942, 24.699031, 29.313624, 31.173288, 164.701808], [16.141284, 17.514910, 18.708926, 18.759277, 20.165362, 20.180745, 20.370612, 22.462766, 24.055988, 91.221001], [10.076891, 10.171155, 11.263155, 11.574254, 13.572336, 14.206306, 16.104756, 19.032869, 19.501159, 75.521544], [25.117325, 25.485365, 27.987236, 28.559429, 28.691433, 30.137370, 36.233150, 41.592918, 43.874321, 212.681097], [4.836973, 4.900992, 5.030637, 5.076950, 5.194506, 5.236588, 5.254430, 5.609318, 5.672878, 21.666924], [5.245673, 5.434380, 6.111085, 6.470262, 6.600450, 6.646756, 8.880020, 9.126259, 9.193005, 16.849847]]
### 4
fourier: [[1.994137, 2.076596, 2.247264, 2.256470, 2.474209, 2.560010, 2.929213, 3.422152, 3.711357, 5.692238], [16.682683, 17.223773, 18.266210, 19.882384, 20.027684, 20.282745, 21.623744, 25.592954, 27.870778, 141.182654], [28.880860, 29.393741, 33.426322, 33.560590, 34.658674, 36.106781, 39.727140, 47.618888, 50.034517, 232.743026], [5.371301, 5.717854, 5.778554, 7.175126, 7.390800, 7.686136, 8.195059, 8.654553, 10.679175, 10.680368], [20.820834, 21.389990, 22.120382, 23.994913, 24.028669, 24.051698, 30.379104, 35.356891, 36.559061, 201.210067], [21.626719, 22.816124, 24.294186, 24.355479, 25.336928, 25.808203, 30.383292, 35.458609, 37.141833, 161.210999]]
### 6
fourier: [[17.034377, 17.395203, 19.848717, 20.094124, 20.364467, 20.778091, 23.147277, 27.419250, 29.246748, 135.442276], [1.406494, 1.486053, 1.505417, 1.827692, 2.015785, 2.030714, 2.083975, 2.545416, 2.768050, 26.488264], [9.152181, 9.483729, 10.442257, 10.614237, 10.737675, 11.223455, 12.747651, 15.081917, 16.054667, 58.960462], [7.338124, 7.643754, 8.251203, 8.502739, 8.601527, 8.689539, 10.050943, 11.699914, 12.637586, 40.163829], [1.572436, 1.609403, 1.636696, 1.715304, 1.963086, 2.010980, 2.529465, 2.773665, 3.140679, 26.197518], [16.168626, 16.321999, 18.754066, 19.398380, 19.587686, 19.817557, 22.433237, 26.706960, 28.177710, 127.148103]]
### 8
fourier: [[7.405206, 7.412782, 8.586128, 8.708746, 8.992368, 9.139549, 10.202318, 11.954908, 12.787610, 26.743747]]
## 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": [
[
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0.571366
],
[
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0.041825
],
[
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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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],
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],
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[
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]
],
"network.8.bias": [
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]
}
## Activation Signature
### 0
fourier: [[10.136695, 10.581846, 10.733430, 11.237521, 11.886954, 12.620036, 13.192054, 13.346669, 14.784583, 27.411745], [21.980654, 22.102400, 22.935543, 23.263899, 26.129190, 26.657902, 27.038500, 28.123394, 28.184109, 142.749331], [13.685972, 14.085361, 14.431969, 14.731680, 15.727609, 16.042039, 16.457551, 16.671016, 19.512923, 103.034870], [14.481261, 14.903431, 15.658794, 16.555461, 18.169846, 20.123989, 22.120595, 22.284789, 23.012934, 67.557262], [6.622134, 6.630399, 6.825413, 7.013610, 7.337329, 8.488735, 8.922686, 9.727789, 11.458446, 56.812816], [14.857732, 15.506602, 16.159376, 16.336955, 17.024994, 19.428567, 21.704884, 22.766721, 23.658572, 127.991610]]
### 2
fourier: [[18.819199, 19.870675, 20.014695, 21.820827, 22.233090, 22.711942, 24.699031, 29.313624, 31.173288, 164.701808], [16.141284, 17.514910, 18.708926, 18.759277, 20.165362, 20.180745, 20.370612, 22.462766, 24.055988, 91.221001], [10.076891, 10.171155, 11.263155, 11.574254, 13.572336, 14.206306, 16.104756, 19.032869, 19.501159, 75.521544], [25.117325, 25.485365, 27.987236, 28.559429, 28.691433, 30.137370, 36.233150, 41.592918, 43.874321, 212.681097], [4.836973, 4.900992, 5.030637, 5.076950, 5.194506, 5.236588, 5.254430, 5.609318, 5.672878, 21.666924], [5.245673, 5.434380, 6.111085, 6.470262, 6.600450, 6.646756, 8.880020, 9.126259, 9.193005, 16.849847]]
### 4
fourier: [[1.994137, 2.076596, 2.247264, 2.256470, 2.474209, 2.560010, 2.929213, 3.422152, 3.711357, 5.692238], [16.682683, 17.223773, 18.266210, 19.882384, 20.027684, 20.282745, 21.623744, 25.592954, 27.870778, 141.182654], [28.880860, 29.393741, 33.426322, 33.560590, 34.658674, 36.106781, 39.727140, 47.618888, 50.034517, 232.743026], [5.371301, 5.717854, 5.778554, 7.175126, 7.390800, 7.686136, 8.195059, 8.654553, 10.679175, 10.680368], [20.820834, 21.389990, 22.120382, 23.994913, 24.028669, 24.051698, 30.379104, 35.356891, 36.559061, 201.210067], [21.626719, 22.816124, 24.294186, 24.355479, 25.336928, 25.808203, 30.383292, 35.458609, 37.141833, 161.210999]]
### 6
fourier: [[17.034377, 17.395203, 19.848717, 20.094124, 20.364467, 20.778091, 23.147277, 27.419250, 29.246748, 135.442276], [1.406494, 1.486053, 1.505417, 1.827692, 2.015785, 2.030714, 2.083975, 2.545416, 2.768050, 26.488264], [9.152181, 9.483729, 10.442257, 10.614237, 10.737675, 11.223455, 12.747651, 15.081917, 16.054667, 58.960462], [7.338124, 7.643754, 8.251203, 8.502739, 8.601527, 8.689539, 10.050943, 11.699914, 12.637586, 40.163829], [1.572436, 1.609403, 1.636696, 1.715304, 1.963086, 2.010980, 2.529465, 2.773665, 3.140679, 26.197518], [16.168626, 16.321999, 18.754066, 19.398380, 19.587686, 19.817557, 22.433237, 26.706960, 28.177710, 127.148103]]
### 8
fourier: [[7.405206, 7.412782, 8.586128, 8.708746, 8.992368, 9.139549, 10.202318, 11.954908, 12.787610, 26.743747]]
## 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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.346058, 0.077945, 0.348112, -0.133748, -0.091187], [0.363212, -0.210705, -0.319475, 0.453363, 0.571366], [0.176051, -0.277947, -0.397168, -0.182991, 0.041825], [0.189672, 0.078681, 0.146499, -0.24115, 0.448768], [-0.047943, -0.151816, 0.085709, -0.165757, -0.043314], [0.251584, -0.223339, 0.051773, 0.366068, 0.388545]], "network.0.bias": [0.265303, 0.508508, 0.313031, 0.028858, -0.065109, 0.143655], "network.2.weight": [[-0.214056, 0.568963, -0.071782, 0.281681, -0.214907, 0.336119], [-0.346059, 0.430876, 0.062119, 0.020482, -0.37421, 0.406492], [-0.192218, 0.235442, -0.597542, 0.461439, -0.154234, 0.092757], [-0.230222, 0.604189, -0.503839, 0.569191, -0.215542, 0.56813], [0.313897, -0.278447, 0.077165, 0.072752, -0.368915, 0.247146], [0.286422, -0.153766, 0.241093, -0.217847, -0.016629, 0.045322]], "network.2.bias": [0.29899, -0.146193, 0.008116, 0.225519, -0.338247, 0.44289], "network.4.weight": [[0.130785, -0.077549, -0.053311, -0.088604, -0.152885, 0.243314], [0.065216, 0.266421, -0.20776, 0.466684, -0.294918, -0.492649], [0.483265, 0.360861, 0.462881, 0.338725, -0.19191, -0.38703], [0.259524, -0.313111, -0.404897, -0.067909, 0.341502, 0.127035], [-0.26094, -0.320306, -0.581975, -0.253197, -0.395644, -0.40047], [-0.328913, -0.136415, -0.137544, -0.494674, 0.280543, -0.350487]], "network.4.bias": [0.104093, 0.342473, 0.299991, 0.269348, -0.372531, 0.247618], "network.6.weight": [[0.048637, 0.373178, 0.350953, -0.147965, 0.2109, 0.34886], [-0.305823, 0.127075, -0.12836, 0.076675, 0.140301, -0.429494], [0.321641, -0.060286, -0.288419, -0.19097, 0.209308, 0.32589], [0.17177, -0.215138, -0.129897, -0.232043, -0.26866, 0.237408], [-0.208014, 0.388183, -0.285897, -0.173754, -0.13935, -0.229427], [-0.196497, -0.056849, 0.567637, -0.24457, -0.177771, 0.272077]], "network.6.bias": [0.103559, -0.164533, 0.200723, 0.204451, -0.150858, 0.086041], "network.8.weight": [[-0.240008, 0.109882, 0.187749, 0.063774, 0.156489, -0.184197]], "network.8.bias": [0.337749]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7295468747615814, "train_acc": 0.44, "val_loss": 0.7033891081809998, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7081019282341003, "train_acc": 0.44, "val_loss": 0.6787773966789246, "val_acc": 0.52}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6755355298519135, "train_acc": 0.595, "val_loss": 0.6422584652900696, "val_acc": 0.74}, {"stage": "improved", "epoch": 0, "global_epoch": 3, "train_loss": 0.6328880786895752, "train_acc": 0.72, "val_loss": 0.5762138366699219, "val_acc": 0.82}, {"stage": "improved", "epoch": 1, "global_epoch": 4, "train_loss": 0.5549938678741455, "train_acc": 0.795, "val_loss": 0.48897862434387207, "val_acc": 0.9}, {"stage": "improved", "epoch": 2, "global_epoch": 5, "train_loss": 0.4793473482131958, "train_acc": 0.86, "val_loss": 0.41430985927581787, "val_acc": 0.88}, {"stage": "improved", "epoch": 3, "global_epoch": 6, "train_loss": 0.4106890857219696, "train_acc": 0.86, "val_loss": 0.36419668793678284, "val_acc": 0.88}, {"stage": "improved", "epoch": 4, "global_epoch": 7, "train_loss": 0.38341571390628815, "train_acc": 0.855, "val_loss": 0.33239907026290894, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 8, "train_loss": 0.37516915798187256, "train_acc": 0.865, "val_loss": 0.3085603713989258, "val_acc": 0.9}, {"stage": "improved", "epoch": 6, "global_epoch": 9, "train_loss": 0.3402085304260254, "train_acc": 0.865, "val_loss": 0.30709630250930786, "val_acc": 0.86}, {"stage": "improved", "epoch": 7, "global_epoch": 10, "train_loss": 0.33476540446281433, "train_acc": 0.855, "val_loss": 0.296405553817749, "val_acc": 0.86}, {"stage": "improved", "epoch": 8, "global_epoch": 11, "train_loss": 0.30638287961483, "train_acc": 0.875, "val_loss": 0.2964484989643097, "val_acc": 0.86}, {"stage": "improved", "epoch": 9, "global_epoch": 12, "train_loss": 0.3299822062253952, "train_acc": 0.87, "val_loss": 0.26966190338134766, "val_acc": 0.86}], "summary": {"total_epochs": 13, "degraded_epochs": 3, "improved_epochs": 10, "patterns": ["palindrome"], "degraded_stage": {"initial_val_loss": 0.7033891081809998, "final_val_loss": 0.6422584652900696, "initial_val_acc": 0.48, "final_val_acc": 0.74, "best_val_acc": 0.74}, "improved_stage": {"initial_val_loss": 0.5762138366699219, "final_val_loss": 0.26966190338134766, "initial_val_acc": 0.82, "final_val_acc": 0.86, "best_val_acc": 0.9, "best_epoch": 4}, "improvement": 0.16000000000000003, "first_improvement_epoch": 2}}
|
398
|
{"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.84, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6108, "learning_rate": 0.0786504899592156, "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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.316336, 26.849199, 27.337689, 27.995973, 28.065139, 31.468138, 31.478811, 34.133726, 40.148294, 112.396430], [12.642611, 12.964627, 13.568847, 13.590410, 14.368721, 14.544843, 16.095212, 16.765859, 16.910653, 17.005099], [28.523520, 29.000034, 29.519158, 30.058397, 31.110033, 31.525397, 31.779013, 32.233680, 36.198392, 43.856140], [28.319863, 29.731372, 29.913637, 31.473010, 33.280064, 36.727878, 37.609750, 38.277996, 40.556109, 198.255785], [17.379469, 18.125750, 18.286744, 18.346887, 18.785885, 19.599151, 19.836837, 26.452485, 31.288087, 82.848989], [21.528975, 22.572605, 23.561820, 25.989380, 27.872895, 29.216239, 31.753425, 38.951697, 39.676293, 288.535107], [43.893783, 48.405020, 48.987875, 49.963203, 50.601587, 53.927015, 55.631644, 59.772355, 62.239917, 252.460896], [14.328571, 14.431996, 14.620919, 15.111190, 15.150825, 17.022467, 17.121278, 17.819858, 23.297656, 143.369135]]
### 2
fourier: [[28.944389, 29.142144, 29.378878, 30.463319, 32.661257, 33.660047, 33.848152, 40.729489, 41.020961, 175.134307], [36.593981, 36.650317, 36.930783, 37.720335, 39.398166, 39.979820, 44.178592, 46.208438, 49.072086, 239.409532], [19.377235, 19.763768, 20.657947, 21.056781, 21.238568, 22.438892, 23.929906, 25.646444, 26.042456, 178.936500], [72.534244, 77.070812, 78.411436, 79.776069, 84.607425, 87.200948, 87.375847, 99.651089, 104.032285, 511.111020], [61.098762, 61.962981, 62.870987, 65.422506, 69.470227, 70.024810, 71.670569, 86.043000, 93.485944, 348.776327], [27.189903, 27.202805, 28.268188, 28.905979, 30.487595, 32.176958, 32.225055, 35.520858, 38.958839, 134.742124], [39.233431, 39.335592, 41.445923, 43.426233, 44.266980, 48.014213, 54.643668, 55.225750, 59.194605, 400.431631], [54.716382, 58.196371, 59.034112, 62.200054, 62.286523, 63.099780, 64.467030, 69.268656, 75.890201, 380.252609]]
### 4
fourier: [[26.340575, 26.802749, 27.910057, 27.910375, 30.882736, 31.000950, 33.096498, 37.246800, 39.013072, 138.672131], [23.896441, 26.112057, 26.749295, 28.491245, 29.219536, 29.390457, 29.530168, 31.007013, 31.635284, 177.054256], [17.642490, 17.918250, 17.988889, 18.095925, 19.140462, 19.555858, 20.041131, 22.705585, 28.140984, 126.675590], [30.149948, 31.060590, 31.163647, 31.708760, 34.698228, 34.940181, 35.185686, 41.166732, 43.639656, 172.567723], [50.795795, 52.324345, 52.839258, 53.353282, 57.295529, 58.337041, 59.101146, 67.853286, 73.972336, 339.550310], [33.162234, 33.294987, 33.506523, 34.582248, 37.942689, 38.024305, 38.881350, 45.475500, 49.342602, 181.102181], [47.405613, 49.893668, 50.906660, 52.990173, 53.641430, 56.073175, 56.612947, 62.973773, 65.266395, 371.559453], [86.864866, 91.382770, 92.223183, 93.171391, 96.516073, 101.606907, 102.332820, 116.626156, 123.842862, 597.836866]]
### 6
fourier: [[90.965605, 95.693309, 96.033048, 96.838083, 102.778285, 106.010648, 106.500905, 122.623408, 131.713498, 593.019648], [71.368149, 74.768505, 75.470441, 76.217271, 81.045217, 83.201808, 83.463594, 96.474599, 103.687250, 509.071110], [5.577791, 5.656379, 5.934215, 6.075493, 6.214858, 7.221271, 7.447642, 9.420043, 9.903952, 71.958361], [16.458929, 17.820078, 18.287829, 18.482317, 18.705208, 19.695566, 20.053094, 22.342038, 22.600741, 149.906569], [34.257871, 34.322424, 34.836822, 36.050417, 38.738985, 39.067520, 39.631345, 45.975722, 51.300630, 243.657710], [71.376571, 74.410676, 75.351638, 76.044441, 81.189446, 82.961691, 83.426420, 96.318757, 104.136499, 490.894029], [17.595594, 18.966551, 19.022336, 19.939485, 20.665548, 21.245071, 21.645355, 23.441835, 23.742383, 149.868760], [16.256926, 17.613857, 17.752574, 19.008020, 19.678088, 19.737290, 20.430713, 21.150955, 22.145434, 127.320175]]
### 8
fourier: [[38.312930, 41.368296, 41.498901, 42.113367, 43.515441, 45.351919, 45.824442, 52.215269, 54.776218, 282.165417], [14.487005, 15.802328, 15.955122, 16.195515, 16.449627, 17.253478, 17.554890, 19.822911, 20.462433, 93.354666], [44.500750, 45.148410, 45.888361, 47.085135, 50.583008, 50.704871, 51.498656, 59.784931, 65.764192, 338.806089], [49.982244, 55.078647, 56.657494, 56.772790, 57.779233, 60.238671, 62.155538, 68.854913, 69.363745, 377.823489], [5.310559, 5.592592, 6.118666, 6.343049, 6.862830, 7.293080, 8.462179, 8.488471, 9.722030, 10.935211], [94.807885, 100.113329, 101.694599, 101.797797, 107.801695, 111.278953, 111.288328, 128.503843, 137.197371, 711.564614], [78.481267, 84.582058, 84.811128, 85.784717, 89.145716, 92.758322, 93.572080, 106.791352, 112.299366, 556.007607], [15.274973, 15.277910, 15.432240, 15.979947, 17.146997, 17.398806, 17.575274, 20.385912, 22.755640, 72.386640]]
### 10
fourier: [[110.733733, 118.821109, 119.799420, 121.310872, 125.748751, 130.558748, 131.443317, 150.420572, 157.974999, 822.932365]]
## 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: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
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## Activation Signature
### 0
fourier: [[25.316336, 26.849199, 27.337689, 27.995973, 28.065139, 31.468138, 31.478811, 34.133726, 40.148294, 112.396430], [12.642611, 12.964627, 13.568847, 13.590410, 14.368721, 14.544843, 16.095212, 16.765859, 16.910653, 17.005099], [28.523520, 29.000034, 29.519158, 30.058397, 31.110033, 31.525397, 31.779013, 32.233680, 36.198392, 43.856140], [28.319863, 29.731372, 29.913637, 31.473010, 33.280064, 36.727878, 37.609750, 38.277996, 40.556109, 198.255785], [17.379469, 18.125750, 18.286744, 18.346887, 18.785885, 19.599151, 19.836837, 26.452485, 31.288087, 82.848989], [21.528975, 22.572605, 23.561820, 25.989380, 27.872895, 29.216239, 31.753425, 38.951697, 39.676293, 288.535107], [43.893783, 48.405020, 48.987875, 49.963203, 50.601587, 53.927015, 55.631644, 59.772355, 62.239917, 252.460896], [14.328571, 14.431996, 14.620919, 15.111190, 15.150825, 17.022467, 17.121278, 17.819858, 23.297656, 143.369135]]
### 2
fourier: [[28.944389, 29.142144, 29.378878, 30.463319, 32.661257, 33.660047, 33.848152, 40.729489, 41.020961, 175.134307], [36.593981, 36.650317, 36.930783, 37.720335, 39.398166, 39.979820, 44.178592, 46.208438, 49.072086, 239.409532], [19.377235, 19.763768, 20.657947, 21.056781, 21.238568, 22.438892, 23.929906, 25.646444, 26.042456, 178.936500], [72.534244, 77.070812, 78.411436, 79.776069, 84.607425, 87.200948, 87.375847, 99.651089, 104.032285, 511.111020], [61.098762, 61.962981, 62.870987, 65.422506, 69.470227, 70.024810, 71.670569, 86.043000, 93.485944, 348.776327], [27.189903, 27.202805, 28.268188, 28.905979, 30.487595, 32.176958, 32.225055, 35.520858, 38.958839, 134.742124], [39.233431, 39.335592, 41.445923, 43.426233, 44.266980, 48.014213, 54.643668, 55.225750, 59.194605, 400.431631], [54.716382, 58.196371, 59.034112, 62.200054, 62.286523, 63.099780, 64.467030, 69.268656, 75.890201, 380.252609]]
### 4
fourier: [[26.340575, 26.802749, 27.910057, 27.910375, 30.882736, 31.000950, 33.096498, 37.246800, 39.013072, 138.672131], [23.896441, 26.112057, 26.749295, 28.491245, 29.219536, 29.390457, 29.530168, 31.007013, 31.635284, 177.054256], [17.642490, 17.918250, 17.988889, 18.095925, 19.140462, 19.555858, 20.041131, 22.705585, 28.140984, 126.675590], [30.149948, 31.060590, 31.163647, 31.708760, 34.698228, 34.940181, 35.185686, 41.166732, 43.639656, 172.567723], [50.795795, 52.324345, 52.839258, 53.353282, 57.295529, 58.337041, 59.101146, 67.853286, 73.972336, 339.550310], [33.162234, 33.294987, 33.506523, 34.582248, 37.942689, 38.024305, 38.881350, 45.475500, 49.342602, 181.102181], [47.405613, 49.893668, 50.906660, 52.990173, 53.641430, 56.073175, 56.612947, 62.973773, 65.266395, 371.559453], [86.864866, 91.382770, 92.223183, 93.171391, 96.516073, 101.606907, 102.332820, 116.626156, 123.842862, 597.836866]]
### 6
fourier: [[90.965605, 95.693309, 96.033048, 96.838083, 102.778285, 106.010648, 106.500905, 122.623408, 131.713498, 593.019648], [71.368149, 74.768505, 75.470441, 76.217271, 81.045217, 83.201808, 83.463594, 96.474599, 103.687250, 509.071110], [5.577791, 5.656379, 5.934215, 6.075493, 6.214858, 7.221271, 7.447642, 9.420043, 9.903952, 71.958361], [16.458929, 17.820078, 18.287829, 18.482317, 18.705208, 19.695566, 20.053094, 22.342038, 22.600741, 149.906569], [34.257871, 34.322424, 34.836822, 36.050417, 38.738985, 39.067520, 39.631345, 45.975722, 51.300630, 243.657710], [71.376571, 74.410676, 75.351638, 76.044441, 81.189446, 82.961691, 83.426420, 96.318757, 104.136499, 490.894029], [17.595594, 18.966551, 19.022336, 19.939485, 20.665548, 21.245071, 21.645355, 23.441835, 23.742383, 149.868760], [16.256926, 17.613857, 17.752574, 19.008020, 19.678088, 19.737290, 20.430713, 21.150955, 22.145434, 127.320175]]
### 8
fourier: [[38.312930, 41.368296, 41.498901, 42.113367, 43.515441, 45.351919, 45.824442, 52.215269, 54.776218, 282.165417], [14.487005, 15.802328, 15.955122, 16.195515, 16.449627, 17.253478, 17.554890, 19.822911, 20.462433, 93.354666], [44.500750, 45.148410, 45.888361, 47.085135, 50.583008, 50.704871, 51.498656, 59.784931, 65.764192, 338.806089], [49.982244, 55.078647, 56.657494, 56.772790, 57.779233, 60.238671, 62.155538, 68.854913, 69.363745, 377.823489], [5.310559, 5.592592, 6.118666, 6.343049, 6.862830, 7.293080, 8.462179, 8.488471, 9.722030, 10.935211], [94.807885, 100.113329, 101.694599, 101.797797, 107.801695, 111.278953, 111.288328, 128.503843, 137.197371, 711.564614], [78.481267, 84.582058, 84.811128, 85.784717, 89.145716, 92.758322, 93.572080, 106.791352, 112.299366, 556.007607], [15.274973, 15.277910, 15.432240, 15.979947, 17.146997, 17.398806, 17.575274, 20.385912, 22.755640, 72.386640]]
### 10
fourier: [[110.733733, 118.821109, 119.799420, 121.310872, 125.748751, 130.558748, 131.443317, 150.420572, 157.974999, 822.932365]]
## 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": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.807761, -0.182367, 0.326668, 0.366964, -0.591805], [-0.354934, -0.183942, 0.187363, 0.256916, 0.17978], [-0.797698, -0.251045, -0.160065, 0.253485, 0.690292], [0.428383, 0.744029, 0.365729, -0.146415, -0.472772], [0.38378, 0.226612, -0.114083, 0.376211, -0.459788], [-0.199417, -0.615456, -0.130158, -0.424707, -0.169281], [1.292857, 0.420582, 0.192441, -0.338436, 0.184315], [-0.156084, -0.262988, -0.328271, 0.084603, -0.066426]], "network.0.bias": [-0.163466, -0.353546, 0.373126, 0.447055, 0.028628, -0.444861, 0.526286, -0.333312], "network.2.weight": [[0.347767, -0.169871, -0.197383, 0.209297, 0.347095, 0.334756, 0.269877, -0.133801], [-0.207428, -0.186907, 0.040666, -0.571628, -0.581818, 0.404891, -0.239022, 0.135045], [-0.110826, 0.003246, -0.174608, -0.363686, -0.077912, 0.239119, -0.198513, 0.238514], [0.244265, 0.063465, -0.433219, 0.768297, 0.623928, 0.255853, 0.983767, 0.192798], [-0.739319, 0.615969, 0.51846, -0.597837, -0.397639, 0.134274, -0.552877, 0.232567], [-0.067952, -0.031163, -0.20725, 0.454332, 0.184503, -0.004959, 0.324284, 0.32343], [0.061739, -0.755504, -0.446141, -0.279506, -0.156792, -0.031343, -0.851909, 0.332203], [0.23528, -0.018153, -0.132112, 0.670135, -0.251941, -0.205388, 0.81396, 0.329989]], "network.2.bias": [0.007621, 0.349984, -0.198529, 0.351669, -0.027304, -0.405963, -0.64449, 0.41137], "network.4.weight": [[-0.227855, 0.242411, -0.135073, -0.376524, 0.344311, -0.168421, -0.061104, 0.230187], [0.226983, 0.130364, 0.381312, -0.131736, -0.200731, -0.135295, -0.449245, -0.328361], [-0.105072, -0.412877, 0.005686, 0.025268, 0.446202, -0.162366, 0.144584, -0.207482], [-0.1607, 0.096946, 0.373909, -0.338994, 0.250201, 0.028468, -0.274437, -0.017896], [-0.162062, 0.110099, 0.034357, 0.633356, -0.426623, 0.030009, 0.405893, 0.130541], [-0.189367, 0.363864, 0.241411, -0.420144, 0.403764, 0.117533, 0.589479, 0.016942], [-0.209674, -0.145425, 0.001881, -0.224242, -0.001568, -0.022757, -0.203376, -0.454366], [0.26481, 0.314128, -0.124452, 0.667499, -0.497885, 0.306402, 0.232356, 0.403301]], "network.4.bias": [0.303538, -0.020324, -0.289178, 0.32748, -0.048358, 0.431103, -0.461704, 0.180641], "network.6.weight": [[0.296659, 0.203541, 0.462276, 0.167203, -0.660234, 0.415145, 0.319131, -0.661515], [-0.614446, -0.417807, -0.172118, -0.066689, 0.405049, -0.203261, 0.075806, 0.583705], [-0.157139, -0.240846, -0.111962, -0.240421, 0.046921, -0.61901, 0.334875, -0.085974], [-0.035557, 0.371053, 0.079236, -0.072564, -0.250045, -0.046748, -0.199557, -0.049105], [-0.094112, 0.001607, -0.170247, -0.447408, 0.048746, -0.287695, 0.260045, 0.358638], [-0.228342, -0.011841, -0.086839, -0.29706, 0.669543, -0.506508, 0.389131, 0.430229], [-0.27718, -0.230423, 0.207328, 0.077189, -0.21362, -0.136188, -0.207099, -0.085189], [0.020981, 0.334489, 0.255726, -0.099339, -0.242159, -0.401842, -0.258675, -0.05452]], "network.6.bias": [0.270729, 0.289408, -0.29439, -0.365532, 0.195283, 0.100709, -0.242757, -0.084256], "network.8.weight": [[-0.082108, 0.14996, -0.064938, 0.160753, 0.513228, 0.151951, -0.167953, 0.566753], [-0.017113, -0.200487, 0.146047, -0.043471, -0.004703, -0.004606, -0.236317, 0.079534], [-0.6187, 0.3123, 0.186274, 0.033828, 0.060703, 0.275387, 0.256092, 0.089231], [-0.331777, -0.315561, 0.090875, -0.039412, -0.277241, -0.278299, -0.270584, 0.190069], [-0.60186, -0.00697, 0.352862, 0.382826, -0.133727, -0.011784, -0.030576, -0.154668], [-0.626473, 0.607227, 0.273493, 0.083057, 0.554416, 0.465414, -0.150026, -0.269955], [-0.264691, 0.530559, -0.056505, 0.113624, 0.131164, 0.521256, 0.212499, -0.357822], [0.292621, 0.024895, -0.053002, 0.007566, 0.265453, -0.360708, 0.031937, -0.065237]], "network.8.bias": [0.026016, 0.149867, 0.354373, -0.049172, 0.419981, 0.392778, -0.075669, 0.283469], "network.10.weight": [[-0.319908, -0.014738, -0.565489, -0.015376, -0.281365, -0.548155, -0.284841, 0.271108]], "network.10.bias": [0.160967]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.690525233745575, "train_acc": 0.54, "val_loss": 0.6787055730819702, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6830514073371887, "train_acc": 0.54, "val_loss": 0.6161959171295166, "val_acc": 0.64}, {"stage": "improved", "epoch": 0, "global_epoch": 2, "train_loss": 0.5653996765613556, "train_acc": 0.655, "val_loss": 0.5282889604568481, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 3, "train_loss": 0.49243462085723877, "train_acc": 0.795, "val_loss": 0.7467756867408752, "val_acc": 0.76}, {"stage": "improved", "epoch": 2, "global_epoch": 4, "train_loss": 0.49472402036190033, "train_acc": 0.8, "val_loss": 0.41261398792266846, "val_acc": 0.8}, {"stage": "improved", "epoch": 3, "global_epoch": 5, "train_loss": 0.4095519632101059, "train_acc": 0.82, "val_loss": 0.3723396360874176, "val_acc": 0.8}, {"stage": "improved", "epoch": 4, "global_epoch": 6, "train_loss": 0.4323013126850128, "train_acc": 0.845, "val_loss": 0.3438667356967926, "val_acc": 0.84}, {"stage": "improved", "epoch": 5, "global_epoch": 7, "train_loss": 0.4382243901491165, "train_acc": 0.845, "val_loss": 0.36870047450065613, "val_acc": 0.8}, {"stage": "improved", "epoch": 6, "global_epoch": 8, "train_loss": 0.3954881280660629, "train_acc": 0.845, "val_loss": 0.37920746207237244, "val_acc": 0.8}, {"stage": "improved", "epoch": 7, "global_epoch": 9, "train_loss": 0.39545151591300964, "train_acc": 0.83, "val_loss": 0.4009004235267639, "val_acc": 0.8}], "summary": {"total_epochs": 10, "degraded_epochs": 2, "improved_epochs": 8, "patterns": ["increasing_pairs"], "degraded_stage": {"initial_val_loss": 0.6787055730819702, "final_val_loss": 0.6161959171295166, "initial_val_acc": 0.64, "final_val_acc": 0.64, "best_val_acc": 0.64}, "improved_stage": {"initial_val_loss": 0.5282889604568481, "final_val_loss": 0.4009004235267639, "initial_val_acc": 0.72, "final_val_acc": 0.8, "best_val_acc": 0.84, "best_epoch": 6}, "improvement": 0.19999999999999996, "first_improvement_epoch": 1}}
|
399
|
{"target_pattern": "contains_abc", "degraded_accuracy": 0.7, "improved_accuracy": 0.94, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1078, "learning_rate": 0.06282850782633911, "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: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
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}
## Activation Signature
### 0
fourier: [[14.936255, 16.694915, 18.456785, 19.242755, 21.765665, 22.101105, 23.175101, 24.454140, 24.560648, 34.821888], [41.697685, 42.326778, 42.442418, 44.637442, 44.786337, 47.129039, 54.050652, 54.998783, 55.858057, 252.001444], [54.454097, 56.898190, 57.891924, 60.410215, 61.135891, 61.415232, 71.478220, 73.830190, 76.809853, 406.613423], [19.917866, 21.229023, 22.679448, 23.862418, 24.961342, 30.005013, 30.466636, 35.356837, 37.285490, 249.162903], [44.143547, 44.414420, 48.942144, 51.307785, 51.594579, 52.512160, 62.207306, 65.589157, 73.504477, 88.161523], [25.172113, 27.600612, 28.503413, 30.092042, 30.304626, 31.223941, 32.740691, 35.603055, 40.554847, 115.365361]]
### 2
fourier: [[78.767740, 84.735590, 85.336462, 86.020125, 86.669643, 95.829476, 109.746315, 114.554298, 129.386047, 318.281466], [85.085988, 92.246917, 95.811787, 97.763759, 103.515054, 113.766923, 119.224711, 121.175641, 136.884153, 448.630051], [30.958950, 32.098264, 33.454436, 35.854122, 36.849883, 42.495187, 43.582927, 44.908028, 45.546280, 247.634299], [21.915488, 25.450395, 25.526303, 25.592437, 26.936602, 27.532688, 32.844805, 33.280993, 40.266040, 105.466325], [53.001874, 60.358512, 62.374348, 62.774080, 65.706572, 68.199906, 79.392017, 80.858658, 102.565773, 145.571190], [61.024415, 66.920857, 67.242988, 67.559277, 68.479811, 74.286837, 85.307036, 88.984084, 101.459486, 295.331608]]
### 4
fourier: [[8.401073, 11.211643, 11.492379, 12.256798, 12.854815, 13.385496, 13.413867, 14.326376, 15.651450, 50.398892], [123.436499, 135.767920, 144.014250, 146.622184, 152.219364, 155.487660, 175.477890, 176.347276, 200.314584, 600.072384], [26.286208, 32.641375, 34.024788, 34.330316, 40.828333, 42.209097, 42.559881, 43.248903, 45.761875, 114.890564], [76.513813, 76.992173, 77.508884, 78.728325, 82.763895, 92.722756, 100.446211, 106.672928, 115.962521, 242.268430], [15.965386, 19.624666, 20.195314, 23.137416, 23.155406, 24.025542, 24.166892, 25.203095, 27.313649, 136.823484], [110.781513, 117.344563, 121.063434, 123.365264, 128.894246, 138.316465, 152.557390, 155.865043, 174.344961, 475.313424]]
### 6
fourier: [[102.473111, 105.318725, 110.096290, 110.969287, 117.209232, 123.514689, 138.998840, 142.871469, 158.530230, 415.006813], [96.503196, 96.757820, 98.923218, 101.356426, 109.450574, 115.487933, 128.673417, 133.935486, 147.430025, 303.373150], [111.992571, 116.332344, 122.735019, 123.271214, 130.230421, 134.503966, 153.655122, 156.182513, 174.355979, 445.153824], [54.805626, 57.135624, 59.425374, 59.565461, 61.594069, 67.863328, 74.019156, 77.435202, 85.645759, 263.091281], [56.313358, 57.111383, 59.096721, 59.970207, 64.268558, 66.922654, 76.121369, 77.988824, 86.115182, 170.248176], [272.139178, 288.439299, 308.039316, 308.118405, 324.877518, 328.560810, 379.054529, 381.365393, 429.688815, 1230.673161]]
### 8
fourier: [[299.457818, 308.867435, 327.084288, 327.342159, 350.219675, 357.175565, 408.368815, 417.461620, 465.977726, 1244.621776]]
## 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: 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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],
[
0.706244,
-0.780637,
-0.904678,
-0.015072,
0.518648,
0.452897
],
[
-0.401655,
-0.227386,
-0.178074,
-0.5208,
-0.227107,
-0.54886
],
[
-0.262338,
1.212176,
0.601222,
-0.328462,
-0.728475,
-0.226295
]
],
"network.4.bias": [
0.00407,
0.200324,
0.513456,
0.704558,
-0.2077,
-0.302455
],
"network.6.weight": [
[
-0.226632,
-0.193354,
0.259312,
0.652454,
-0.162479,
-0.666549
],
[
0.34427,
-0.484479,
0.452005,
0.90294,
0.262159,
-0.242539
],
[
0.2172,
-0.28055,
0.363557,
0.582747,
-0.006055,
-0.660814
],
[
-0.191874,
0.034953,
-0.31653,
0.272468,
-0.156565,
-0.532701
],
[
0.009706,
-0.062742,
0.422,
0.482495,
-0.76938,
-0.39729
],
[
-0.879629,
1.336433,
-0.73167,
-0.777656,
-0.90353,
0.913443
]
],
"network.6.bias": [
-0.030052,
0.723381,
0.255228,
-0.32847,
0.335762,
0.00926
],
"network.8.weight": [
[
0.5688,
0.600443,
0.222433,
-0.029255,
0.281592,
-1.065389
]
],
"network.8.bias": [
0.30799
]
}
## Activation Signature
### 0
fourier: [[14.936255, 16.694915, 18.456785, 19.242755, 21.765665, 22.101105, 23.175101, 24.454140, 24.560648, 34.821888], [41.697685, 42.326778, 42.442418, 44.637442, 44.786337, 47.129039, 54.050652, 54.998783, 55.858057, 252.001444], [54.454097, 56.898190, 57.891924, 60.410215, 61.135891, 61.415232, 71.478220, 73.830190, 76.809853, 406.613423], [19.917866, 21.229023, 22.679448, 23.862418, 24.961342, 30.005013, 30.466636, 35.356837, 37.285490, 249.162903], [44.143547, 44.414420, 48.942144, 51.307785, 51.594579, 52.512160, 62.207306, 65.589157, 73.504477, 88.161523], [25.172113, 27.600612, 28.503413, 30.092042, 30.304626, 31.223941, 32.740691, 35.603055, 40.554847, 115.365361]]
### 2
fourier: [[78.767740, 84.735590, 85.336462, 86.020125, 86.669643, 95.829476, 109.746315, 114.554298, 129.386047, 318.281466], [85.085988, 92.246917, 95.811787, 97.763759, 103.515054, 113.766923, 119.224711, 121.175641, 136.884153, 448.630051], [30.958950, 32.098264, 33.454436, 35.854122, 36.849883, 42.495187, 43.582927, 44.908028, 45.546280, 247.634299], [21.915488, 25.450395, 25.526303, 25.592437, 26.936602, 27.532688, 32.844805, 33.280993, 40.266040, 105.466325], [53.001874, 60.358512, 62.374348, 62.774080, 65.706572, 68.199906, 79.392017, 80.858658, 102.565773, 145.571190], [61.024415, 66.920857, 67.242988, 67.559277, 68.479811, 74.286837, 85.307036, 88.984084, 101.459486, 295.331608]]
### 4
fourier: [[8.401073, 11.211643, 11.492379, 12.256798, 12.854815, 13.385496, 13.413867, 14.326376, 15.651450, 50.398892], [123.436499, 135.767920, 144.014250, 146.622184, 152.219364, 155.487660, 175.477890, 176.347276, 200.314584, 600.072384], [26.286208, 32.641375, 34.024788, 34.330316, 40.828333, 42.209097, 42.559881, 43.248903, 45.761875, 114.890564], [76.513813, 76.992173, 77.508884, 78.728325, 82.763895, 92.722756, 100.446211, 106.672928, 115.962521, 242.268430], [15.965386, 19.624666, 20.195314, 23.137416, 23.155406, 24.025542, 24.166892, 25.203095, 27.313649, 136.823484], [110.781513, 117.344563, 121.063434, 123.365264, 128.894246, 138.316465, 152.557390, 155.865043, 174.344961, 475.313424]]
### 6
fourier: [[102.473111, 105.318725, 110.096290, 110.969287, 117.209232, 123.514689, 138.998840, 142.871469, 158.530230, 415.006813], [96.503196, 96.757820, 98.923218, 101.356426, 109.450574, 115.487933, 128.673417, 133.935486, 147.430025, 303.373150], [111.992571, 116.332344, 122.735019, 123.271214, 130.230421, 134.503966, 153.655122, 156.182513, 174.355979, 445.153824], [54.805626, 57.135624, 59.425374, 59.565461, 61.594069, 67.863328, 74.019156, 77.435202, 85.645759, 263.091281], [56.313358, 57.111383, 59.096721, 59.970207, 64.268558, 66.922654, 76.121369, 77.988824, 86.115182, 170.248176], [272.139178, 288.439299, 308.039316, 308.118405, 324.877518, 328.560810, 379.054529, 381.365393, 429.688815, 1230.673161]]
### 8
fourier: [[299.457818, 308.867435, 327.084288, 327.342159, 350.219675, 357.175565, 408.368815, 417.461620, 465.977726, 1244.621776]]
## 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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51.30778511563372, 51.59457928456857, 52.5121597498355, 62.207305815215044, 65.58915734851212, 73.50447703479817, 88.16152303904182]}, "5": {"fourier": [25.172112700895564, 27.6006115675393, 28.503412799402692, 30.092042342227767, 30.304625824922763, 31.22394063519144, 32.74069057153656, 35.60305499408455, 40.55484710808122, 115.36536052823067]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "2": {"neuron_profiles": {"0": {"fourier": [78.76774043966621, 84.73559001291535, 85.33646160023389, 86.0201254130586, 86.66964347133526, 95.82947611339418, 109.74631454999592, 114.55429784370543, 129.38604654774753, 318.28146609663963]}, "1": {"fourier": [85.08598771590762, 92.24691716210384, 95.81178669372886, 97.76375900291998, 103.5150536704541, 113.76692332732773, 119.22471110261158, 121.17564069866755, 136.88415335167855, 448.63005101680756]}, "2": {"fourier": [30.958949934128047, 32.098263776445265, 33.45443639971018, 35.8541221055911, 36.84988308253454, 42.49518688611149, 43.582926707236595, 44.908028455045596, 45.54627955636193, 247.63429921865463]}, "3": {"fourier": [21.91548840871003, 25.45039469738887, 25.526302796586883, 25.592437454026403, 26.936601742076405, 27.53268760429661, 32.844805171450645, 33.280992826658576, 40.26603955414796, 105.46632521227002]}, "4": {"fourier": [53.00187437946279, 60.35851153336227, 62.3743482776548, 62.77408043852035, 65.70657159388296, 68.1999057806217, 79.39201702873324, 80.85865794330167, 102.56577307362642, 145.57118952274323]}, "5": {"fourier": [61.0244147960588, 66.92085664702059, 67.24298753619564, 67.55927668049408, 68.47981059512564, 74.28683654920857, 85.30703581365421, 88.9840837195905, 101.45948554438587, 295.33160775899887]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "4": {"neuron_profiles": {"0": {"fourier": [8.401073150170207, 11.211643227962105, 11.492379482525864, 12.256797816314982, 12.85481461321763, 13.385496423485328, 13.413866839596562, 14.32637634696169, 15.651450423513372, 50.39889178983867]}, "1": {"fourier": [123.43649881045592, 135.76791974894613, 144.0142499325956, 146.62218435133417, 152.21936435388875, 155.4876600138553, 175.47789040618116, 176.34727641223841, 200.31458447101687, 600.0723835453391]}, "2": {"fourier": [26.286208397131315, 32.641375255339725, 34.02478823882729, 34.330315528008185, 40.82833265723996, 42.20909749252723, 42.55988076558394, 43.24890252616026, 45.761875272521344, 114.8905637562275]}, "3": {"fourier": [76.5138130466381, 76.99217275660662, 77.5088842259905, 78.72832546318433, 82.76389525919221, 92.7227562971889, 100.44621126708546, 106.67292788112698, 115.96252127327955, 242.26843041181564]}, "4": {"fourier": [15.965386318595485, 19.624665829383062, 20.195313688160827, 23.137416191371372, 23.155405906976135, 24.025542366106787, 24.16689225540193, 25.203095178877373, 27.313648700968216, 136.8234842121601]}, "5": {"fourier": [110.78151292641206, 117.34456266230414, 121.0634338289107, 123.36526439854812, 128.89424627859074, 138.31646493783094, 152.55739013371976, 155.86504250417104, 174.3449609739805, 475.3134238868952]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "6": {"neuron_profiles": {"0": {"fourier": [102.47311061429285, 105.31872490939938, 110.09629012510696, 110.96928686919333, 117.20923164185842, 123.5146885766702, 138.99883985341302, 142.87146891793665, 158.53022958634378, 415.00681272894144]}, "1": {"fourier": [96.50319639586908, 96.75781999412845, 98.92321763817615, 101.35642553771376, 109.4505740133989, 115.48793315892458, 128.67341721167423, 133.93548563323094, 147.43002522847036, 303.3731498718262]}, "2": {"fourier": [111.99257057911183, 116.33234377838971, 122.7350187256899, 123.27121383784784, 130.23042105242232, 134.5039663099365, 153.655121827187, 156.1825126104387, 174.35597936321656, 445.15382382273674]}, "3": {"fourier": [54.805625510449346, 57.13562444981275, 59.425373593354195, 59.56546075268877, 61.59406850273446, 67.86332806486395, 74.01915587311889, 77.43520175430169, 85.64575858309672, 263.091281324625]}, "4": {"fourier": [56.31335840993339, 57.11138268357239, 59.09672123276935, 59.97020732432973, 64.2685576222182, 66.92265423200568, 76.12136851353482, 77.98882432403808, 86.11518207307921, 170.24817609786987]}, "5": {"fourier": [272.13917811592273, 288.43929852084443, 308.0393159457537, 308.1184053167947, 324.8775179835595, 328.5608097794893, 379.05452857521885, 381.3653932700144, 429.6888154371821, 1230.6731613501906]}}, "layer_info": {"num_neurons": 6, "num_examples": 90, "profile_methods": ["fourier"]}}, "8": {"neuron_profiles": {"0": {"fourier": [299.4578183355734, 308.8674352109267, 327.0842881630656, 327.3421590491401, 350.2196752596494, 357.1755646377305, 408.36881488387957, 417.4616204141716, 465.9777263781696, 1244.6217759996653]}}, "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": [[0.635279, -0.051846, -0.066083, -0.04265, -0.355746], [-1.230536, -0.420347, -0.039312, -0.493596, 0.102676], [1.503593, 0.709872, 0.25998, 0.531642, -0.094532], [-0.185993, -0.416856, -0.20484, -0.539494, -0.122025], [1.616569, -1.251177, 0.580168, -0.028624, 0.07195], [-0.72502, -0.062387, 0.043374, -0.745811, 0.342346]], "network.0.bias": [0.35907, 0.511256, -0.213314, -0.042113, -0.480586, 0.820612], "network.2.weight": [[-0.956, 0.329183, -0.386385, -0.471684, -1.359236, 0.696637], [0.995236, -0.484164, 0.693672, 0.378478, 1.264706, 0.743119], [0.32294, -0.501631, -0.441602, -0.634454, -0.430666, -0.353847], [-0.384821, -0.273335, -0.049875, -0.397027, -0.462623, 0.125206], [-1.491416, 0.015148, 0.076905, -0.695308, -1.190973, 0.444811], [-0.906163, 0.100262, -0.283259, -0.049792, -1.035126, 0.50743]], "network.2.bias": [0.639548, -0.799223, -0.217895, -0.064406, 0.567858, -0.033698], "network.4.weight": [[-0.359719, -0.114431, -0.396371, 0.176476, 0.141549, -0.150983], [0.491194, 1.39923, 0.123123, -0.299356, -1.240151, 0.495446], [-1.479857, -0.347849, -1.159373, -0.220345, 0.405, -0.988828], [0.706244, -0.780637, -0.904678, -0.015072, 0.518648, 0.452897], [-0.401655, -0.227386, -0.178074, -0.5208, -0.227107, -0.54886], [-0.262338, 1.212176, 0.601222, -0.328462, -0.728475, -0.226295]], "network.4.bias": [0.00407, 0.200324, 0.513456, 0.704558, -0.2077, -0.302455], "network.6.weight": [[-0.226632, -0.193354, 0.259312, 0.652454, -0.162479, -0.666549], [0.34427, -0.484479, 0.452005, 0.90294, 0.262159, -0.242539], [0.2172, -0.28055, 0.363557, 0.582747, -0.006055, -0.660814], [-0.191874, 0.034953, -0.31653, 0.272468, -0.156565, -0.532701], [0.009706, -0.062742, 0.422, 0.482495, -0.76938, -0.39729], [-0.879629, 1.336433, -0.73167, -0.777656, -0.90353, 0.913443]], "network.6.bias": [-0.030052, 0.723381, 0.255228, -0.32847, 0.335762, 0.00926], "network.8.weight": [[0.5688, 0.600443, 0.222433, -0.029255, 0.281592, -1.065389]], "network.8.bias": [0.30799]}}
|
{"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6891380250453949, "train_acc": 0.45, "val_loss": 0.6819283962249756, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6509391367435455, "train_acc": 0.695, "val_loss": 0.6627424359321594, "val_acc": 0.62}, {"stage": "degraded", "epoch": 2, "global_epoch": 2, "train_loss": 0.6145186126232147, "train_acc": 0.68, "val_loss": 0.6551114916801453, "val_acc": 0.62}, {"stage": "degraded", "epoch": 3, "global_epoch": 3, "train_loss": 0.5862314403057098, "train_acc": 0.7, "val_loss": 0.6574194431304932, "val_acc": 0.7}, {"stage": "degraded", "epoch": 4, "global_epoch": 4, "train_loss": 0.5800997316837311, "train_acc": 0.705, "val_loss": 0.635794997215271, "val_acc": 0.7}, {"stage": "improved", "epoch": 0, "global_epoch": 5, "train_loss": 0.8226891160011292, "train_acc": 0.72, "val_loss": 0.6490696668624878, "val_acc": 0.72}, {"stage": "improved", "epoch": 1, "global_epoch": 6, "train_loss": 0.5658044517040253, "train_acc": 0.72, "val_loss": 0.5916652083396912, "val_acc": 0.62}, {"stage": "improved", "epoch": 2, "global_epoch": 7, "train_loss": 0.5967869758605957, "train_acc": 0.61, "val_loss": 0.5354861617088318, "val_acc": 0.64}, {"stage": "improved", "epoch": 3, "global_epoch": 8, "train_loss": 0.5672830641269684, "train_acc": 0.615, "val_loss": 0.45522332191467285, "val_acc": 0.7}, {"stage": "improved", "epoch": 4, "global_epoch": 9, "train_loss": 0.45353782176971436, "train_acc": 0.735, "val_loss": 0.40614479780197144, "val_acc": 0.9}, {"stage": "improved", "epoch": 5, "global_epoch": 10, "train_loss": 0.37361547350883484, "train_acc": 0.85, "val_loss": 0.3607017993927002, "val_acc": 0.88}, {"stage": "improved", "epoch": 6, "global_epoch": 11, "train_loss": 0.30149589478969574, "train_acc": 0.89, "val_loss": 0.3264256417751312, "val_acc": 0.88}, {"stage": "improved", "epoch": 7, "global_epoch": 12, "train_loss": 0.2671268880367279, "train_acc": 0.89, "val_loss": 0.29018691182136536, "val_acc": 0.9}, {"stage": "improved", "epoch": 8, "global_epoch": 13, "train_loss": 0.1685447059571743, "train_acc": 0.94, "val_loss": 0.24935878813266754, "val_acc": 0.9}, {"stage": "improved", "epoch": 9, "global_epoch": 14, "train_loss": 0.17614485323429108, "train_acc": 0.935, "val_loss": 0.1902681291103363, "val_acc": 0.94}], "summary": {"total_epochs": 15, "degraded_epochs": 5, "improved_epochs": 10, "patterns": ["contains_abc"], "degraded_stage": {"initial_val_loss": 0.6819283962249756, "final_val_loss": 0.635794997215271, "initial_val_acc": 0.7, "final_val_acc": 0.7, "best_val_acc": 0.7}, "improved_stage": {"initial_val_loss": 0.6490696668624878, "final_val_loss": 0.1902681291103363, "initial_val_acc": 0.72, "final_val_acc": 0.94, "best_val_acc": 0.94, "best_epoch": 14}, "improvement": 0.24, "first_improvement_epoch": 4}}
|
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