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

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

Neuron 4954 in Layer 0

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

Text #0

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Max Act: 0.0233. Min Act: -0.0002

Data Index: 900838 (C4 (Web Text))

Max Activating Token Index: 248

Text #1

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Max Act: 0.0223. Min Act: -0.0002

Data Index: 813502 (C4 (Web Text))

Max Activating Token Index: 614

Text #2

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Max Act: 0.0208. Min Act: -0.0002

Data Index: 219911 (C4 (Web Text))

Max Activating Token Index: 81

Text #3

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Max Act: 0.0202. Min Act: -0.0002

Data Index: 1346680 (C4 (Web Text))

Max Activating Token Index: 262

Text #4

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Data Index: 951640 (C4 (Web Text))

Max Activating Token Index: 127

Text #5

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1282361 (C4 (Web Text))

Max Activating Token Index: 180

Text #6

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Data Index: 116125 (C4 (Web Text))

Max Activating Token Index: 94

Text #7

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Max Activating Token Index: 250

Text #8

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Max Activating Token Index: 383

Text #9

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Data Index: 150022 (C4 (Web Text))

Max Activating Token Index: 337

Text #10

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Max Activating Token Index: 51

Text #11

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Data Index: 383734 (C4 (Web Text))

Max Activating Token Index: 483

Text #12

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Data Index: 56317 (C4 (Web Text))

Max Activating Token Index: 775

Text #13

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Data Index: 522304 (C4 (Web Text))

Max Activating Token Index: 908

Text #14

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Data Index: 405486 (C4 (Web Text))

Max Activating Token Index: 380

Text #15

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Max Activating Token Index: 345

Text #16

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Max Activating Token Index: 235

Text #17

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Max Activating Token Index: 590

Text #18

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Max Activating Token Index: 1023

Text #19

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Data Index: 320369 (C4 (Web Text))

Max Activating Token Index: 158