Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 40 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0094. Min Act: -0.0004
Data Index: 185988 (C4 (Web Text))
Max Activating Token Index: 126
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Full Text #0
Text #1
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Max Act: 0.0090. Min Act: -0.0004
Data Index: 1043220 (C4 (Web Text))
Max Activating Token Index: 145
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Full Text #1
Text #2
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Max Act: 0.0090. Min Act: -0.0004
Data Index: 1200746 (C4 (Web Text))
Max Activating Token Index: 919
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Text #3
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Data Index: 1426955 (Python Code)
Max Activating Token Index: 847
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Text #4
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Data Index: 692596 (C4 (Web Text))
Max Activating Token Index: 203
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Text #5
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Data Index: 572351 (C4 (Web Text))
Max Activating Token Index: 731
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Text #6
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Data Index: 778252 (C4 (Web Text))
Max Activating Token Index: 782
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Text #7
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Data Index: 289368 (C4 (Web Text))
Max Activating Token Index: 709
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Text #8
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Data Index: 1138425 (C4 (Web Text))
Max Activating Token Index: 900
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Text #9
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Data Index: 416969 (C4 (Web Text))
Max Activating Token Index: 704
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Text #10
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Data Index: 660446 (C4 (Web Text))
Max Activating Token Index: 816
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Text #11
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Data Index: 477050 (C4 (Web Text))
Max Activating Token Index: 332
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Text #12
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Data Index: 519573 (C4 (Web Text))
Max Activating Token Index: 616
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Text #13
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Data Index: 109489 (C4 (Web Text))
Max Activating Token Index: 547
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Text #14
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Data Index: 504217 (C4 (Web Text))
Max Activating Token Index: 854
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Text #15
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Data Index: 1359636 (C4 (Web Text))
Max Activating Token Index: 453
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Text #16
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Max Act: 0.0078. Min Act: -0.0004
Data Index: 140152 (C4 (Web Text))
Max Activating Token Index: 137
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Text #17
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Max Act: 0.0077. Min Act: -0.0004
Data Index: 607493 (C4 (Web Text))
Max Activating Token Index: 328
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Text #18
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Max Act: 0.0078. Min Act: -0.0004
Data Index: 49306 (C4 (Web Text))
Max Activating Token Index: 129
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Text #19
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Max Act: 0.0076. Min Act: -0.0004
Data Index: 281703 (C4 (Web Text))
Max Activating Token Index: 83
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