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

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

Neuron 2801 in Layer 9

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

Text #0

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Max Act: 0.8604. Min Act: -0.0000

Data Index: 1087640 (C4 (Web Text))

Max Activating Token Index: 307

Text #1

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Data Index: 527842 (C4 (Web Text))

Max Activating Token Index: 638

Text #2

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Data Index: 1008343 (C4 (Web Text))

Max Activating Token Index: 900

Text #3

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Data Index: 967982 (C4 (Web Text))

Max Activating Token Index: 899

Text #4

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Data Index: 73786 (C4 (Web Text))

Max Activating Token Index: 855

Text #5

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Data Index: 59748 (C4 (Web Text))

Max Activating Token Index: 848

Text #6

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Data Index: 448960 (C4 (Web Text))

Max Activating Token Index: 31

Text #7

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Data Index: 661399 (C4 (Web Text))

Max Activating Token Index: 594

Text #8

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Data Index: 552150 (C4 (Web Text))

Max Activating Token Index: 285

Text #9

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Data Index: 84784 (C4 (Web Text))

Max Activating Token Index: 51

Text #10

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Data Index: 933749 (C4 (Web Text))

Max Activating Token Index: 195

Text #11

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Data Index: 944503 (C4 (Web Text))

Max Activating Token Index: 268

Text #12

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Data Index: 1006698 (C4 (Web Text))

Max Activating Token Index: 14

Text #13

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Data Index: 1160092 (C4 (Web Text))

Max Activating Token Index: 1020

Text #14

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Data Index: 404266 (C4 (Web Text))

Max Activating Token Index: 753

Text #15

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Data Index: 777182 (C4 (Web Text))

Max Activating Token Index: 59

Text #16

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Max Activating Token Index: 460

Text #17

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Max Activating Token Index: 121

Text #18

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Data Index: 775970 (C4 (Web Text))

Max Activating Token Index: 832

Text #19

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Data Index: 218181 (C4 (Web Text))

Max Activating Token Index: 202