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

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

Neuron 2645 in Layer 0

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

Text #0

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 547068 (C4 (Web Text))

Max Activating Token Index: 304

Text #1

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Max Activating Token Index: 403

Text #2

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 3109 (C4 (Web Text))

Max Activating Token Index: 261

Text #3

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Data Index: 80531 (C4 (Web Text))

Max Activating Token Index: 367

Text #4

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Data Index: 780843 (C4 (Web Text))

Max Activating Token Index: 233

Text #5

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Max Activating Token Index: 311

Text #6

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Text #7

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Max Activating Token Index: 285

Text #8

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Max Activating Token Index: 232

Text #9

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Max Activating Token Index: 206

Text #10

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Max Activating Token Index: 304

Text #11

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Max Activating Token Index: 376

Text #12

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Max Activating Token Index: 195

Text #13

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Max Activating Token Index: 29

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 362

Text #19

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Data Index: 111456 (C4 (Web Text))

Max Activating Token Index: 94