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

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

Neuron 799 in Layer 0

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

Text #0

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Max Act: 0.0157. Min Act: -0.0006

Data Index: 1012245 (C4 (Web Text))

Max Activating Token Index: 608

Text #1

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Data Index: 459567 (C4 (Web Text))

Max Activating Token Index: 170

Text #2

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Max Act: 0.0138. Min Act: -0.0006

Data Index: 680682 (C4 (Web Text))

Max Activating Token Index: 212

Text #3

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Data Index: 434624 (C4 (Web Text))

Max Activating Token Index: 1022

Text #4

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Data Index: 248232 (C4 (Web Text))

Max Activating Token Index: 832

Text #5

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Max Activating Token Index: 673

Text #6

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Data Index: 670305 (C4 (Web Text))

Max Activating Token Index: 163

Text #7

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Data Index: 19038 (C4 (Web Text))

Max Activating Token Index: 391

Text #8

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Max Activating Token Index: 857

Text #9

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Max Activating Token Index: 665

Text #10

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Max Activating Token Index: 307

Text #11

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Data Index: 525229 (C4 (Web Text))

Max Activating Token Index: 1015

Text #12

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Data Index: 1119706 (C4 (Web Text))

Max Activating Token Index: 967

Text #13

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Max Activating Token Index: 941

Text #14

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Data Index: 435178 (C4 (Web Text))

Max Activating Token Index: 199

Text #15

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Max Activating Token Index: 835

Text #16

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Text #17

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Max Activating Token Index: 945

Text #18

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Max Activating Token Index: 283

Text #19

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Max Act: 0.0115. Min Act: -0.0006

Data Index: 344832 (C4 (Web Text))

Max Activating Token Index: 259