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

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

Neuron 412 in Layer 0

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

Text #0

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Max Act: 0.0434. Min Act: -0.0004

Data Index: 104962 (C4 (Web Text))

Max Activating Token Index: 470

Text #1

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Max Act: 0.0442. Min Act: -0.0004

Data Index: 408570 (C4 (Web Text))

Max Activating Token Index: 962

Text #2

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Max Act: 0.0423. Min Act: -0.0004

Data Index: 51637 (C4 (Web Text))

Max Activating Token Index: 956

Text #3

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Max Act: 0.0432. Min Act: -0.0004

Data Index: 724026 (C4 (Web Text))

Max Activating Token Index: 160

Text #4

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Data Index: 572896 (C4 (Web Text))

Max Activating Token Index: 349

Text #5

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Data Index: 950417 (C4 (Web Text))

Max Activating Token Index: 685

Text #6

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Data Index: 550598 (C4 (Web Text))

Max Activating Token Index: 44

Text #7

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Max Activating Token Index: 635

Text #8

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Max Activating Token Index: 107

Text #9

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Data Index: 253467 (C4 (Web Text))

Max Activating Token Index: 172

Text #10

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Max Activating Token Index: 951

Text #11

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Data Index: 765975 (C4 (Web Text))

Max Activating Token Index: 371

Text #12

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Data Index: 1203535 (C4 (Web Text))

Max Activating Token Index: 468

Text #13

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Data Index: 746079 (C4 (Web Text))

Max Activating Token Index: 184

Text #14

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Data Index: 1006521 (C4 (Web Text))

Max Activating Token Index: 707

Text #15

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Max Activating Token Index: 39

Text #16

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Max Activating Token Index: 212

Text #17

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Max Activating Token Index: 590

Text #18

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Max Activating Token Index: 963

Text #19

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Data Index: 133596 (C4 (Web Text))

Max Activating Token Index: 874