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

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

Neuron 3476 in Layer 2

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

Text #0

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Max Act: 0.0440. Min Act: -0.0002

Data Index: 268682 (C4 (Web Text))

Max Activating Token Index: 478

Text #1

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 507690 (C4 (Web Text))

Max Activating Token Index: 15

Text #2

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 601626 (C4 (Web Text))

Max Activating Token Index: 716

Text #3

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Max Act: 0.0388. Min Act: -0.0002

Data Index: 1159743 (C4 (Web Text))

Max Activating Token Index: 1014

Text #4

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 549713 (C4 (Web Text))

Max Activating Token Index: 1016

Text #5

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Data Index: 1031759 (C4 (Web Text))

Max Activating Token Index: 108

Text #6

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Max Activating Token Index: 781

Text #7

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Max Activating Token Index: 927

Text #8

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Max Activating Token Index: 7

Text #9

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Max Activating Token Index: 21

Text #10

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Max Activating Token Index: 21

Text #11

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Max Activating Token Index: 997

Text #12

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Max Activating Token Index: 294

Text #13

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Data Index: 774393 (C4 (Web Text))

Max Activating Token Index: 557

Text #14

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Max Activating Token Index: 368

Text #15

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Max Activating Token Index: 175

Text #16

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Max Activating Token Index: 178

Text #17

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Max Activating Token Index: 317

Text #18

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Data Index: 155838 (C4 (Web Text))

Max Activating Token Index: 143

Text #19

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 1308863 (C4 (Web Text))

Max Activating Token Index: 584