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

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

Neuron 541 in Layer 0

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

Text #0

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 1286847 (C4 (Web Text))

Max Activating Token Index: 467

Text #1

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Max Act: 0.0250. Min Act: -0.0002

Data Index: 549295 (C4 (Web Text))

Max Activating Token Index: 802

Text #2

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Max Act: 0.0247. Min Act: -0.0002

Data Index: 253347 (C4 (Web Text))

Max Activating Token Index: 467

Text #3

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 210327 (C4 (Web Text))

Max Activating Token Index: 11

Text #4

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 577661 (C4 (Web Text))

Max Activating Token Index: 814

Text #5

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 209369 (C4 (Web Text))

Max Activating Token Index: 160

Text #6

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Max Activating Token Index: 995

Text #7

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Max Activating Token Index: 663

Text #8

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Data Index: 844066 (C4 (Web Text))

Max Activating Token Index: 831

Text #9

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Max Activating Token Index: 5

Text #10

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Max Activating Token Index: 78

Text #11

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Data Index: 89495 (C4 (Web Text))

Max Activating Token Index: 13

Text #12

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Max Activating Token Index: 9

Text #13

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Data Index: 1282955 (C4 (Web Text))

Max Activating Token Index: 11

Text #14

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Data Index: 495478 (C4 (Web Text))

Max Activating Token Index: 5

Text #15

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Max Activating Token Index: 227

Text #16

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Max Activating Token Index: 4

Text #17

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Max Activating Token Index: 4

Text #18

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Max Activating Token Index: 670

Text #19

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Data Index: 635317 (C4 (Web Text))

Max Activating Token Index: 475