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

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

Neuron 4547 in Layer 1

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

Text #0

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 269982 (C4 (Web Text))

Max Activating Token Index: 242

Text #1

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Data Index: 1288828 (C4 (Web Text))

Max Activating Token Index: 804

Text #2

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Max Activating Token Index: 982

Text #3

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Max Act: 0.0286. Min Act: -0.0003

Data Index: 876212 (C4 (Web Text))

Max Activating Token Index: 296

Text #4

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Data Index: 609564 (C4 (Web Text))

Max Activating Token Index: 112

Text #5

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Data Index: 831782 (C4 (Web Text))

Max Activating Token Index: 990

Text #6

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Max Activating Token Index: 64

Text #7

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Max Activating Token Index: 478

Text #8

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Max Activating Token Index: 160

Text #9

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Max Activating Token Index: 576

Text #10

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Max Activating Token Index: 743

Text #11

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Data Index: 117502 (C4 (Web Text))

Max Activating Token Index: 318

Text #12

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Max Activating Token Index: 322

Text #13

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Data Index: 658585 (C4 (Web Text))

Max Activating Token Index: 287

Text #14

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Data Index: 310275 (C4 (Web Text))

Max Activating Token Index: 640

Text #15

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Max Activating Token Index: 154

Text #16

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Max Activating Token Index: 172

Text #17

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Max Activating Token Index: 355

Text #18

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Max Activating Token Index: 289

Text #19

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Data Index: 324743 (C4 (Web Text))

Max Activating Token Index: 667