Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1090 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0169. Min Act: -0.0003

Data Index: 915961 (C4 (Web Text))

Max Activating Token Index: 375

Text #1

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 368519 (C4 (Web Text))

Max Activating Token Index: 715

Text #2

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 1309126 (C4 (Web Text))

Max Activating Token Index: 1005

Text #3

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Max Act: 0.0152. Min Act: -0.0003

Data Index: 35098 (C4 (Web Text))

Max Activating Token Index: 467

Text #4

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 839815 (C4 (Web Text))

Max Activating Token Index: 505

Text #5

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Max Act: 0.0146. Min Act: -0.0003

Data Index: 1198098 (C4 (Web Text))

Max Activating Token Index: 128

Text #6

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Data Index: 1009854 (C4 (Web Text))

Max Activating Token Index: 246

Text #7

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Data Index: 459592 (C4 (Web Text))

Max Activating Token Index: 342

Text #8

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Data Index: 207303 (C4 (Web Text))

Max Activating Token Index: 138

Text #9

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Data Index: 1348801 (C4 (Web Text))

Max Activating Token Index: 130

Text #10

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Data Index: 183679 (C4 (Web Text))

Max Activating Token Index: 478

Text #11

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Max Activating Token Index: 877

Text #12

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Max Activating Token Index: 856

Text #13

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Max Activating Token Index: 145

Text #14

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Max Activating Token Index: 174

Text #15

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Max Activating Token Index: 451

Text #16

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Max Activating Token Index: 351

Text #17

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Max Activating Token Index: 897

Text #18

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Max Activating Token Index: 407

Text #19

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Data Index: 90352 (C4 (Web Text))

Max Activating Token Index: 27