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

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

Neuron 3630 in Layer 0

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

Text #0

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 795493 (C4 (Web Text))

Max Activating Token Index: 605

Text #1

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Max Activating Token Index: 8

Text #2

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 457575 (C4 (Web Text))

Max Activating Token Index: 77

Text #3

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Max Act: 0.0117. Min Act: -0.0002

Data Index: 842753 (C4 (Web Text))

Max Activating Token Index: 114

Text #4

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Data Index: 210046 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Max Act: 0.0115. Min Act: -0.0002

Data Index: 1164297 (C4 (Web Text))

Max Activating Token Index: 674

Text #6

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Max Activating Token Index: 14

Text #7

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Max Activating Token Index: 118

Text #8

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Max Activating Token Index: 87

Text #9

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Max Activating Token Index: 72

Text #10

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Max Activating Token Index: 73

Text #11

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Max Activating Token Index: 229

Text #12

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Max Activating Token Index: 55

Text #13

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Max Activating Token Index: 5

Text #14

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Max Activating Token Index: 783

Text #15

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Max Activating Token Index: 31

Text #16

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Text #17

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Max Activating Token Index: 47

Text #18

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Data Index: 957921 (C4 (Web Text))

Max Activating Token Index: 643

Text #19

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 801991 (C4 (Web Text))

Max Activating Token Index: 322