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

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

Neuron 234 in Layer 1

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

Text #0

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 489703 (C4 (Web Text))

Max Activating Token Index: 386

Text #1

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Max Act: 0.0442. Min Act: -0.0003

Data Index: 169458 (C4 (Web Text))

Max Activating Token Index: 48

Text #2

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Max Act: 0.0421. Min Act: -0.0003

Data Index: 78321 (C4 (Web Text))

Max Activating Token Index: 333

Text #3

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 139357 (C4 (Web Text))

Max Activating Token Index: 297

Text #4

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 403462 (C4 (Web Text))

Max Activating Token Index: 446

Text #5

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Data Index: 528818 (C4 (Web Text))

Max Activating Token Index: 989

Text #6

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Max Activating Token Index: 85

Text #7

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Max Activating Token Index: 448

Text #8

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Data Index: 748956 (C4 (Web Text))

Max Activating Token Index: 387

Text #9

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Data Index: 1155371 (C4 (Web Text))

Max Activating Token Index: 412

Text #10

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Max Activating Token Index: 190

Text #11

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Max Activating Token Index: 499

Text #12

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Max Activating Token Index: 853

Text #13

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Data Index: 193249 (C4 (Web Text))

Max Activating Token Index: 676

Text #14

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Data Index: 174192 (C4 (Web Text))

Max Activating Token Index: 920

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 96

Text #18

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Max Activating Token Index: 765

Text #19

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Data Index: 768021 (C4 (Web Text))

Max Activating Token Index: 369