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

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

Neuron 1122 in Layer 0

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

Text #0

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Max Act: 0.0190. Min Act: -0.0004

Data Index: 811391 (C4 (Web Text))

Max Activating Token Index: 253

Text #1

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Data Index: 1023742 (C4 (Web Text))

Max Activating Token Index: 138

Text #2

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Max Act: 0.0176. Min Act: -0.0004

Data Index: 308111 (C4 (Web Text))

Max Activating Token Index: 630

Text #3

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Max Act: 0.0171. Min Act: -0.0004

Data Index: 529310 (C4 (Web Text))

Max Activating Token Index: 832

Text #4

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Max Act: 0.0173. Min Act: -0.0004

Data Index: 1269327 (C4 (Web Text))

Max Activating Token Index: 50

Text #5

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Max Activating Token Index: 864

Text #6

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Data Index: 534470 (C4 (Web Text))

Max Activating Token Index: 257

Text #7

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Max Activating Token Index: 893

Text #8

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Max Activating Token Index: 810

Text #9

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Data Index: 16119 (C4 (Web Text))

Max Activating Token Index: 692

Text #10

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Data Index: 135274 (C4 (Web Text))

Max Activating Token Index: 151

Text #11

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Data Index: 1200541 (C4 (Web Text))

Max Activating Token Index: 427

Text #12

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Max Activating Token Index: 901

Text #13

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Data Index: 605211 (C4 (Web Text))

Max Activating Token Index: 59

Text #14

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Max Activating Token Index: 14

Text #15

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Max Activating Token Index: 594

Text #16

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Max Activating Token Index: 71

Text #17

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Max Activating Token Index: 820

Text #18

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Data Index: 1054787 (C4 (Web Text))

Max Activating Token Index: 864

Text #19

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Data Index: 350337 (C4 (Web Text))

Max Activating Token Index: 211