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

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

Neuron 3929 in Layer 0

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

Text #0

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Max Act: 0.0468. Min Act: -0.0002

Data Index: 1090448 (C4 (Web Text))

Max Activating Token Index: 719

Text #1

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Data Index: 369147 (C4 (Web Text))

Max Activating Token Index: 118

Text #2

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 1308304 (C4 (Web Text))

Max Activating Token Index: 243

Text #3

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Data Index: 70298 (C4 (Web Text))

Max Activating Token Index: 237

Text #4

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Data Index: 255010 (C4 (Web Text))

Max Activating Token Index: 324

Text #5

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Max Activating Token Index: 366

Text #6

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Max Activating Token Index: 602

Text #7

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Max Activating Token Index: 975

Text #8

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Max Activating Token Index: 992

Text #9

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Max Activating Token Index: 263

Text #10

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Max Activating Token Index: 439

Text #11

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Max Activating Token Index: 33

Text #12

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Max Activating Token Index: 965

Text #13

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Max Activating Token Index: 36

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 542

Text #18

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Max Activating Token Index: 182

Text #19

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Data Index: 1227108 (C4 (Web Text))

Max Activating Token Index: 992