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

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

Neuron 462 in Layer 1

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

Text #0

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Max Act: 0.0123. Min Act: -0.0003

Data Index: 1094930 (C4 (Web Text))

Max Activating Token Index: 201

Text #1

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Data Index: 1166453 (C4 (Web Text))

Max Activating Token Index: 929

Text #2

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Max Act: 0.0133. Min Act: -0.0003

Data Index: 238063 (C4 (Web Text))

Max Activating Token Index: 211

Text #3

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Max Act: 0.0113. Min Act: -0.0003

Data Index: 786393 (C4 (Web Text))

Max Activating Token Index: 499

Text #4

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Data Index: 738703 (C4 (Web Text))

Max Activating Token Index: 460

Text #5

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Max Act: 0.0120. Min Act: -0.0003

Data Index: 330881 (C4 (Web Text))

Max Activating Token Index: 379

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 449

Text #9

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Max Activating Token Index: 52

Text #10

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Max Activating Token Index: 307

Text #11

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Max Activating Token Index: 213

Text #12

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Max Activating Token Index: 30

Text #13

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Data Index: 409678 (C4 (Web Text))

Max Activating Token Index: 484

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: 150

Text #18

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Max Activating Token Index: 575

Text #19

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Data Index: 318966 (C4 (Web Text))

Max Activating Token Index: 603