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

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

Neuron 2016 in Layer 0

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

Text #0

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 387158 (C4 (Web Text))

Max Activating Token Index: 128

Text #1

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 656627 (C4 (Web Text))

Max Activating Token Index: 783

Text #2

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 201116 (C4 (Web Text))

Max Activating Token Index: 20

Text #3

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Max Act: 0.0119. Min Act: -0.0002

Data Index: 411351 (C4 (Web Text))

Max Activating Token Index: 136

Text #4

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Max Activating Token Index: 849

Text #5

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Max Activating Token Index: 92

Text #6

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Max Activating Token Index: 175

Text #7

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Max Activating Token Index: 896

Text #8

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Max Activating Token Index: 76

Text #9

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Max Activating Token Index: 202

Text #10

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Max Activating Token Index: 280

Text #11

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Max Activating Token Index: 118

Text #12

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Max Activating Token Index: 111

Text #13

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Max Activating Token Index: 32

Text #14

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Text #15

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Text #16

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Text #18

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Max Activating Token Index: 271

Text #19

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Data Index: 911485 (C4 (Web Text))

Max Activating Token Index: 743