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

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

Neuron 4060 in Layer 1

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

Text #0

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Max Act: 0.0252. Min Act: -0.0003

Data Index: 167339 (C4 (Web Text))

Max Activating Token Index: 511

Text #1

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Max Activating Token Index: 662

Text #2

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Max Act: 0.0230. Min Act: -0.0003

Data Index: 1018981 (C4 (Web Text))

Max Activating Token Index: 719

Text #3

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Max Act: 0.0235. Min Act: -0.0003

Data Index: 1248230 (C4 (Web Text))

Max Activating Token Index: 93

Text #4

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Max Act: 0.0232. Min Act: -0.0003

Data Index: 304349 (C4 (Web Text))

Max Activating Token Index: 721

Text #5

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Max Act: 0.0215. Min Act: -0.0003

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Max Activating Token Index: 741

Text #6

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Max Activating Token Index: 316

Text #7

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Max Activating Token Index: 257

Text #8

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Max Activating Token Index: 82

Text #9

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Max Activating Token Index: 950

Text #10

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Data Index: 436106 (C4 (Web Text))

Max Activating Token Index: 680

Text #11

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Data Index: 724135 (C4 (Web Text))

Max Activating Token Index: 707

Text #12

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Max Activating Token Index: 856

Text #13

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Max Activating Token Index: 414

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 470

Text #17

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Max Activating Token Index: 704

Text #18

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Data Index: 1285154 (C4 (Web Text))

Max Activating Token Index: 307

Text #19

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Data Index: 52619 (C4 (Web Text))

Max Activating Token Index: 369