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

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

Neuron 3888 in Layer 1

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

Text #0

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Max Act: 0.0474. Min Act: -0.0003

Data Index: 1089987 (C4 (Web Text))

Max Activating Token Index: 908

Text #1

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Data Index: 687666 (C4 (Web Text))

Max Activating Token Index: 714

Text #2

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 1241640 (C4 (Web Text))

Max Activating Token Index: 396

Text #3

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Max Act: 0.0411. Min Act: -0.0003

Data Index: 232873 (C4 (Web Text))

Max Activating Token Index: 774

Text #4

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Max Act: 0.0391. Min Act: -0.0003

Data Index: 1213849 (C4 (Web Text))

Max Activating Token Index: 704

Text #5

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 1187058 (C4 (Web Text))

Max Activating Token Index: 695

Text #6

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Data Index: 635953 (C4 (Web Text))

Max Activating Token Index: 490

Text #7

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Data Index: 411218 (C4 (Web Text))

Max Activating Token Index: 845

Text #8

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Max Activating Token Index: 655

Text #9

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Max Activating Token Index: 79

Text #10

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Data Index: 384489 (C4 (Web Text))

Max Activating Token Index: 750

Text #11

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Max Activating Token Index: 488

Text #12

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Data Index: 50735 (C4 (Web Text))

Max Activating Token Index: 676

Text #13

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Data Index: 543657 (C4 (Web Text))

Max Activating Token Index: 112

Text #14

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Max Activating Token Index: 24

Text #15

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Max Activating Token Index: 34

Text #16

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Max Activating Token Index: 823

Text #17

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Max Activating Token Index: 797

Text #18

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Data Index: 1310531 (C4 (Web Text))

Max Activating Token Index: 429

Text #19

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 948167 (C4 (Web Text))

Max Activating Token Index: 742