Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 851 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0166. Min Act: -0.0004

Data Index: 75854 (C4 (Web Text))

Max Activating Token Index: 893

Text #1

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Max Act: 0.0140. Min Act: -0.0004

Data Index: 392410 (C4 (Web Text))

Max Activating Token Index: 188

Text #2

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 46593 (C4 (Web Text))

Max Activating Token Index: 186

Text #3

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 892140 (C4 (Web Text))

Max Activating Token Index: 683

Text #4

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Max Act: 0.0119. Min Act: -0.0004

Data Index: 1096030 (C4 (Web Text))

Max Activating Token Index: 757

Text #5

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 688505 (C4 (Web Text))

Max Activating Token Index: 411

Text #6

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Max Act: 0.0120. Min Act: -0.0004

Data Index: 409123 (C4 (Web Text))

Max Activating Token Index: 975

Text #7

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Max Activating Token Index: 347

Text #8

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Max Activating Token Index: 36

Text #9

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Max Activating Token Index: 914

Text #10

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Max Activating Token Index: 489

Text #11

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Data Index: 439092 (C4 (Web Text))

Max Activating Token Index: 532

Text #12

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Max Activating Token Index: 156

Text #13

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Data Index: 1631132 (Python Code)

Max Activating Token Index: 701

Text #14

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Data Index: 274861 (C4 (Web Text))

Max Activating Token Index: 813

Text #15

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Max Activating Token Index: 577

Text #16

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Text #17

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Max Activating Token Index: 877

Text #18

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Max Activating Token Index: 664

Text #19

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Max Act: 0.0109. Min Act: -0.0004

Data Index: 935623 (C4 (Web Text))

Max Activating Token Index: 588