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

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

Neuron 3066 in Layer 1

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

Text #0

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Max Act: 0.0397. Min Act: -0.0003

Data Index: 606060 (C4 (Web Text))

Max Activating Token Index: 203

Text #1

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 892122 (C4 (Web Text))

Max Activating Token Index: 221

Text #2

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 237808 (C4 (Web Text))

Max Activating Token Index: 564

Text #3

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 382924 (C4 (Web Text))

Max Activating Token Index: 423

Text #4

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Data Index: 76132 (C4 (Web Text))

Max Activating Token Index: 778

Text #5

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 1344140 (C4 (Web Text))

Max Activating Token Index: 359

Text #6

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Data Index: 140759 (C4 (Web Text))

Max Activating Token Index: 206

Text #7

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Max Activating Token Index: 780

Text #8

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Max Activating Token Index: 669

Text #9

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Max Activating Token Index: 440

Text #10

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Max Activating Token Index: 981

Text #11

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Max Activating Token Index: 161

Text #12

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Max Activating Token Index: 132

Text #13

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Data Index: 568368 (C4 (Web Text))

Max Activating Token Index: 360

Text #14

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Data Index: 142134 (C4 (Web Text))

Max Activating Token Index: 542

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 33

Text #18

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Data Index: 71101 (C4 (Web Text))

Max Activating Token Index: 306

Text #19

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Data Index: 942263 (C4 (Web Text))

Max Activating Token Index: 712