Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 852 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0340. Min Act: -0.0006

Data Index: 42447 (C4 (Web Text))

Max Activating Token Index: 198

Text #1

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Max Act: 0.0348. Min Act: -0.0006

Data Index: 672117 (C4 (Web Text))

Max Activating Token Index: 765

Text #2

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Max Act: 0.0339. Min Act: -0.0006

Data Index: 870690 (C4 (Web Text))

Max Activating Token Index: 804

Text #3

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Max Act: 0.0333. Min Act: -0.0006

Data Index: 508585 (C4 (Web Text))

Max Activating Token Index: 65

Text #4

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Data Index: 908960 (C4 (Web Text))

Max Activating Token Index: 906

Text #5

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Max Activating Token Index: 792

Text #6

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Max Activating Token Index: 889

Text #7

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Max Activating Token Index: 802

Text #8

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Max Activating Token Index: 948

Text #9

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Max Activating Token Index: 769

Text #10

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Data Index: 868151 (C4 (Web Text))

Max Activating Token Index: 922

Text #11

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Max Activating Token Index: 769

Text #12

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Data Index: 1352921 (C4 (Web Text))

Max Activating Token Index: 234

Text #13

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Max Activating Token Index: 911

Text #14

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Max Activating Token Index: 607

Text #15

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Text #16

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Max Activating Token Index: 227

Text #17

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Max Activating Token Index: 365

Text #18

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Text #19

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Data Index: 654149 (C4 (Web Text))

Max Activating Token Index: 914