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

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

Neuron 1164 in Layer 1

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

Text #0

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Data Index: 806339 (C4 (Web Text))

Max Activating Token Index: 677

Text #1

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Max Activating Token Index: 392

Text #2

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Max Act: 0.0335. Min Act: -0.0006

Data Index: 716178 (C4 (Web Text))

Max Activating Token Index: 162

Text #3

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Max Act: 0.0336. Min Act: -0.0006

Data Index: 1257596 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Max Act: 0.0318. Min Act: -0.0006

Data Index: 481707 (C4 (Web Text))

Max Activating Token Index: 35

Text #5

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Max Act: 0.0319. Min Act: -0.0006

Data Index: 331207 (C4 (Web Text))

Max Activating Token Index: 225

Text #6

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Data Index: 1300557 (C4 (Web Text))

Max Activating Token Index: 186

Text #7

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Max Activating Token Index: 468

Text #8

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Max Activating Token Index: 238

Text #9

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Max Activating Token Index: 772

Text #10

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Max Activating Token Index: 665

Text #11

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Data Index: 38790 (C4 (Web Text))

Max Activating Token Index: 186

Text #12

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Max Activating Token Index: 87

Text #13

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Data Index: 1006790 (C4 (Web Text))

Max Activating Token Index: 700

Text #14

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Max Activating Token Index: 429

Text #15

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Max Activating Token Index: 743

Text #16

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Max Activating Token Index: 465

Text #17

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Max Activating Token Index: 942

Text #18

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Max Activating Token Index: 845

Text #19

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Data Index: 56973 (C4 (Web Text))

Max Activating Token Index: 430