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

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

Neuron 4535 in Layer 1

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

Text #0

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 63789 (C4 (Web Text))

Max Activating Token Index: 104

Text #1

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 306705 (C4 (Web Text))

Max Activating Token Index: 923

Text #2

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 1066774 (C4 (Web Text))

Max Activating Token Index: 40

Text #3

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Max Act: 0.0274. Min Act: -0.0003

Data Index: 1137023 (C4 (Web Text))

Max Activating Token Index: 774

Text #4

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 239653 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 894063 (C4 (Web Text))

Max Activating Token Index: 405

Text #6

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Data Index: 250617 (C4 (Web Text))

Max Activating Token Index: 394

Text #7

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Max Activating Token Index: 110

Text #8

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Data Index: 278319 (C4 (Web Text))

Max Activating Token Index: 170

Text #9

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Data Index: 1019753 (C4 (Web Text))

Max Activating Token Index: 339

Text #10

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Data Index: 48564 (C4 (Web Text))

Max Activating Token Index: 265

Text #11

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Data Index: 969761 (C4 (Web Text))

Max Activating Token Index: 341

Text #12

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Data Index: 675659 (C4 (Web Text))

Max Activating Token Index: 934

Text #13

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Data Index: 132550 (C4 (Web Text))

Max Activating Token Index: 831

Text #14

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Data Index: 508648 (C4 (Web Text))

Max Activating Token Index: 106

Text #15

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Max Activating Token Index: 303

Text #16

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Max Activating Token Index: 550

Text #17

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Max Activating Token Index: 258

Text #18

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Data Index: 267789 (C4 (Web Text))

Max Activating Token Index: 510

Text #19

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 917845 (C4 (Web Text))

Max Activating Token Index: 474