Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 317 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0230. Min Act: -0.0002

Data Index: 162863 (C4 (Web Text))

Max Activating Token Index: 244

Text #1

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Data Index: 191067 (C4 (Web Text))

Max Activating Token Index: 87

Text #2

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Max Act: 0.0228. Min Act: -0.0002

Data Index: 213417 (C4 (Web Text))

Max Activating Token Index: 43

Text #3

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Max Act: 0.0222. Min Act: -0.0002

Data Index: 1175940 (C4 (Web Text))

Max Activating Token Index: 186

Text #4

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Data Index: 835045 (C4 (Web Text))

Max Activating Token Index: 11

Text #5

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Data Index: 1258318 (C4 (Web Text))

Max Activating Token Index: 146

Text #6

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Data Index: 224947 (C4 (Web Text))

Max Activating Token Index: 379

Text #7

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Max Activating Token Index: 59

Text #8

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Data Index: 1089490 (C4 (Web Text))

Max Activating Token Index: 388

Text #9

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Data Index: 508071 (C4 (Web Text))

Max Activating Token Index: 154

Text #10

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Max Activating Token Index: 309

Text #11

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Data Index: 329158 (C4 (Web Text))

Max Activating Token Index: 138

Text #12

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Max Activating Token Index: 82

Text #13

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Data Index: 690331 (C4 (Web Text))

Max Activating Token Index: 193

Text #14

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Data Index: 951439 (C4 (Web Text))

Max Activating Token Index: 373

Text #15

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Max Activating Token Index: 344

Text #16

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Text #17

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Max Activating Token Index: 10

Text #18

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Data Index: 23804 (C4 (Web Text))

Max Activating Token Index: 295

Text #19

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 4217 (C4 (Web Text))

Max Activating Token Index: 35