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

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

Neuron 480 in Layer 0

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

Text #0

Max Range: 0.0213. Min Range: -0.0213

Max Act: 0.0213. Min Act: -0.0002

Data Index: 890944 (C4 (Web Text))

Max Activating Token Index: 733

Text #1

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Max Act: 0.0213. Min Act: -0.0002

Data Index: 395136 (C4 (Web Text))

Max Activating Token Index: 235

Text #2

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 322895 (C4 (Web Text))

Max Activating Token Index: 254

Text #3

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1209122 (C4 (Web Text))

Max Activating Token Index: 141

Text #4

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 722249 (C4 (Web Text))

Max Activating Token Index: 351

Text #5

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Max Act: 0.0189. Min Act: -0.0002

Data Index: 798244 (C4 (Web Text))

Max Activating Token Index: 386

Text #6

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 62163 (C4 (Web Text))

Max Activating Token Index: 782

Text #7

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Data Index: 171461 (C4 (Web Text))

Max Activating Token Index: 251

Text #8

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Data Index: 452501 (C4 (Web Text))

Max Activating Token Index: 370

Text #9

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Data Index: 12155 (C4 (Web Text))

Max Activating Token Index: 52

Text #10

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Data Index: 710754 (C4 (Web Text))

Max Activating Token Index: 221

Text #11

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Max Activating Token Index: 231

Text #12

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Max Activating Token Index: 232

Text #13

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Data Index: 737516 (C4 (Web Text))

Max Activating Token Index: 58

Text #14

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Max Activating Token Index: 135

Text #15

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Max Activating Token Index: 491

Text #16

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Max Activating Token Index: 3

Text #17

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Max Activating Token Index: 821

Text #18

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Data Index: 1252792 (C4 (Web Text))

Max Activating Token Index: 618

Text #19

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 398003 (C4 (Web Text))

Max Activating Token Index: 661