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

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

Neuron 479 in Layer 1

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

Text #0

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Max Act: 0.1300. Min Act: -0.0003

Data Index: 1337094 (C4 (Web Text))

Max Activating Token Index: 532

Text #1

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Max Act: 0.1239. Min Act: -0.0003

Data Index: 381406 (C4 (Web Text))

Max Activating Token Index: 759

Text #2

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Max Act: 0.1293. Min Act: -0.0003

Data Index: 1238007 (C4 (Web Text))

Max Activating Token Index: 647

Text #3

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Max Act: 0.1252. Min Act: -0.0003

Data Index: 806231 (C4 (Web Text))

Max Activating Token Index: 343

Text #4

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Max Act: 0.1143. Min Act: -0.0003

Data Index: 584547 (C4 (Web Text))

Max Activating Token Index: 446

Text #5

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Max Act: 0.1089. Min Act: -0.0003

Data Index: 567290 (C4 (Web Text))

Max Activating Token Index: 33

Text #6

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Data Index: 294491 (C4 (Web Text))

Max Activating Token Index: 38

Text #7

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Max Activating Token Index: 380

Text #8

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Max Activating Token Index: 601

Text #9

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Max Activating Token Index: 52

Text #10

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Max Activating Token Index: 847

Text #11

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Max Activating Token Index: 805

Text #12

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Max Activating Token Index: 63

Text #13

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Max Act: 0.1005. Min Act: -0.0003

Data Index: 291524 (C4 (Web Text))

Max Activating Token Index: 670

Text #14

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Max Activating Token Index: 276

Text #15

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Text #16

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Max Activating Token Index: 623

Text #17

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Max Activating Token Index: 128

Text #18

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Max Activating Token Index: 20

Text #19

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Data Index: 228963 (C4 (Web Text))

Max Activating Token Index: 534