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

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

Neuron 1859 in Layer 0

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

Text #0

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Max Act: 0.0192. Min Act: -0.0004

Data Index: 679773 (C4 (Web Text))

Max Activating Token Index: 223

Text #1

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Data Index: 1060505 (C4 (Web Text))

Max Activating Token Index: 196

Text #2

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 257974 (C4 (Web Text))

Max Activating Token Index: 865

Text #3

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Max Act: 0.0180. Min Act: -0.0004

Data Index: 919990 (C4 (Web Text))

Max Activating Token Index: 284

Text #4

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Data Index: 498413 (C4 (Web Text))

Max Activating Token Index: 862

Text #5

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Data Index: 315936 (C4 (Web Text))

Max Activating Token Index: 918

Text #6

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Data Index: 989238 (C4 (Web Text))

Max Activating Token Index: 450

Text #7

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Max Activating Token Index: 937

Text #8

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Max Activating Token Index: 573

Text #9

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Max Activating Token Index: 681

Text #10

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Data Index: 363502 (C4 (Web Text))

Max Activating Token Index: 319

Text #11

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Data Index: 987797 (C4 (Web Text))

Max Activating Token Index: 733

Text #12

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Data Index: 455914 (C4 (Web Text))

Max Activating Token Index: 78

Text #13

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Data Index: 892076 (C4 (Web Text))

Max Activating Token Index: 59

Text #14

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Max Activating Token Index: 662

Text #15

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Max Activating Token Index: 313

Text #16

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Max Activating Token Index: 648

Text #17

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Max Activating Token Index: 755

Text #18

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Data Index: 970216 (C4 (Web Text))

Max Activating Token Index: 460

Text #19

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Data Index: 627179 (C4 (Web Text))

Max Activating Token Index: 775