Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 684 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0432. Min Act: -0.0003

Data Index: 839496 (C4 (Web Text))

Max Activating Token Index: 614

Text #1

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 448309 (C4 (Web Text))

Max Activating Token Index: 577

Text #2

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 766239 (C4 (Web Text))

Max Activating Token Index: 484

Text #3

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Max Act: 0.0398. Min Act: -0.0002

Data Index: 550204 (C4 (Web Text))

Max Activating Token Index: 297

Text #4

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 187221 (C4 (Web Text))

Max Activating Token Index: 962

Text #5

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 474369 (C4 (Web Text))

Max Activating Token Index: 165

Text #6

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Max Activating Token Index: 131

Text #7

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Max Activating Token Index: 47

Text #8

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Max Activating Token Index: 809

Text #9

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Max Activating Token Index: 908

Text #10

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Max Activating Token Index: 739

Text #11

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Max Activating Token Index: 253

Text #12

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Max Activating Token Index: 761

Text #13

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Max Activating Token Index: 228

Text #14

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Max Activating Token Index: 498

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 748

Text #18

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Max Activating Token Index: 570

Text #19

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Data Index: 503362 (C4 (Web Text))

Max Activating Token Index: 194