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

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

Neuron 3953 in Layer 0

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

Text #0

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Max Act: 0.0214. Min Act: -0.0002

Data Index: 779155 (C4 (Web Text))

Max Activating Token Index: 119

Text #1

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Max Activating Token Index: 15

Text #2

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Data Index: 713419 (C4 (Web Text))

Max Activating Token Index: 24

Text #3

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Data Index: 73447 (C4 (Web Text))

Max Activating Token Index: 53

Text #4

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Data Index: 1258670 (C4 (Web Text))

Max Activating Token Index: 26

Text #5

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Data Index: 175246 (C4 (Web Text))

Max Activating Token Index: 25

Text #6

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Data Index: 424081 (C4 (Web Text))

Max Activating Token Index: 367

Text #7

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Max Activating Token Index: 157

Text #8

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Max Activating Token Index: 28

Text #9

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Data Index: 67078 (C4 (Web Text))

Max Activating Token Index: 504

Text #10

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Max Activating Token Index: 270

Text #11

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Max Activating Token Index: 111

Text #12

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Max Activating Token Index: 660

Text #13

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Data Index: 300881 (C4 (Web Text))

Max Activating Token Index: 89

Text #14

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Data Index: 341206 (C4 (Web Text))

Max Activating Token Index: 144

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 75

Text #18

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Data Index: 955893 (C4 (Web Text))

Max Activating Token Index: 277

Text #19

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 1113709 (C4 (Web Text))

Max Activating Token Index: 64