Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1832 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 954851 (C4 (Web Text))

Max Activating Token Index: 486

Text #1

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Max Act: 0.0116. Min Act: -0.0005

Data Index: 1098157 (C4 (Web Text))

Max Activating Token Index: 463

Text #2

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Max Act: 0.0116. Min Act: -0.0005

Data Index: 612405 (C4 (Web Text))

Max Activating Token Index: 235

Text #3

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 269440 (C4 (Web Text))

Max Activating Token Index: 718

Text #4

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Max Act: 0.0113. Min Act: -0.0005

Data Index: 193122 (C4 (Web Text))

Max Activating Token Index: 34

Text #5

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Data Index: 454768 (C4 (Web Text))

Max Activating Token Index: 36

Text #6

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Max Activating Token Index: 114

Text #7

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Max Activating Token Index: 736

Text #8

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Max Activating Token Index: 980

Text #9

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Max Activating Token Index: 931

Text #10

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Max Activating Token Index: 643

Text #11

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Data Index: 844577 (C4 (Web Text))

Max Activating Token Index: 449

Text #12

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Max Activating Token Index: 184

Text #13

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Data Index: 791007 (C4 (Web Text))

Max Activating Token Index: 1005

Text #14

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Max Activating Token Index: 270

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 96

Text #18

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Max Activating Token Index: 868

Text #19

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Data Index: 1348990 (C4 (Web Text))

Max Activating Token Index: 261