Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1003 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 1128748 (C4 (Web Text))

Max Activating Token Index: 71

Text #1

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 672681 (C4 (Web Text))

Max Activating Token Index: 82

Text #2

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 184897 (C4 (Web Text))

Max Activating Token Index: 338

Text #3

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Max Act: 0.0157. Min Act: -0.0006

Data Index: 986527 (C4 (Web Text))

Max Activating Token Index: 319

Text #4

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Max Act: 0.0150. Min Act: -0.0006

Data Index: 903645 (C4 (Web Text))

Max Activating Token Index: 688

Text #5

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Max Act: 0.0150. Min Act: -0.0006

Data Index: 401983 (C4 (Web Text))

Max Activating Token Index: 44

Text #6

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Max Act: 0.0146. Min Act: -0.0006

Data Index: 1029551 (C4 (Web Text))

Max Activating Token Index: 173

Text #7

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Data Index: 188006 (C4 (Web Text))

Max Activating Token Index: 938

Text #8

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Data Index: 349908 (C4 (Web Text))

Max Activating Token Index: 449

Text #9

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Data Index: 624009 (C4 (Web Text))

Max Activating Token Index: 163

Text #10

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Max Activating Token Index: 580

Text #11

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Max Activating Token Index: 763

Text #12

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Max Activating Token Index: 725

Text #13

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Max Activating Token Index: 874

Text #14

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Max Activating Token Index: 533

Text #15

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Max Activating Token Index: 785

Text #16

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Max Activating Token Index: 606

Text #17

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Max Activating Token Index: 428

Text #18

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Max Activating Token Index: 798

Text #19

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Data Index: 291995 (C4 (Web Text))

Max Activating Token Index: 1001