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

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

Neuron 2994 in Layer 0

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

Text #0

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Max Act: 0.0228. Min Act: -0.0001

Data Index: 898311 (C4 (Web Text))

Max Activating Token Index: 301

Text #1

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Max Act: 0.0232. Min Act: -0.0002

Data Index: 110242 (C4 (Web Text))

Max Activating Token Index: 359

Text #2

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Max Act: 0.0226. Min Act: -0.0002

Data Index: 912001 (C4 (Web Text))

Max Activating Token Index: 239

Text #3

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1255305 (C4 (Web Text))

Max Activating Token Index: 104

Text #4

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1023814 (C4 (Web Text))

Max Activating Token Index: 566

Text #5

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Data Index: 409348 (C4 (Web Text))

Max Activating Token Index: 64

Text #6

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Max Activating Token Index: 297

Text #7

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Data Index: 316425 (C4 (Web Text))

Max Activating Token Index: 62

Text #8

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Data Index: 176192 (C4 (Web Text))

Max Activating Token Index: 235

Text #9

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Data Index: 1189283 (C4 (Web Text))

Max Activating Token Index: 232

Text #10

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Max Activating Token Index: 15

Text #11

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Max Activating Token Index: 343

Text #12

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Data Index: 339252 (C4 (Web Text))

Max Activating Token Index: 83

Text #13

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Data Index: 179647 (C4 (Web Text))

Max Activating Token Index: 164

Text #14

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Max Activating Token Index: 638

Text #15

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Max Activating Token Index: 389

Text #16

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Max Activating Token Index: 648

Text #17

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Max Activating Token Index: 45

Text #18

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Max Activating Token Index: 903

Text #19

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Data Index: 1214503 (C4 (Web Text))

Max Activating Token Index: 596