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

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

Neuron 2168 in Layer 0

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

Text #0

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 1612868 (Python Code)

Max Activating Token Index: 895

Text #1

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Max Act: 0.0306. Min Act: -0.0002

Data Index: 1271035 (C4 (Web Text))

Max Activating Token Index: 246

Text #2

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Max Act: 0.0304. Min Act: -0.0002

Data Index: 1137402 (C4 (Web Text))

Max Activating Token Index: 241

Text #3

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Max Act: 0.0295. Min Act: -0.0002

Data Index: 107298 (C4 (Web Text))

Max Activating Token Index: 525

Text #4

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 938352 (C4 (Web Text))

Max Activating Token Index: 310

Text #5

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Data Index: 584555 (C4 (Web Text))

Max Activating Token Index: 406

Text #6

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Max Activating Token Index: 342

Text #7

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Max Activating Token Index: 568

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 192

Text #11

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Max Activating Token Index: 275

Text #12

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Max Activating Token Index: 422

Text #13

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Max Activating Token Index: 959

Text #14

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Max Activating Token Index: 496

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 534

Text #18

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Max Activating Token Index: 837

Text #19

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Data Index: 1071314 (C4 (Web Text))

Max Activating Token Index: 508