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

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

Neuron 1930 in Layer 0

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

Text #0

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 9138 (C4 (Web Text))

Max Activating Token Index: 183

Text #1

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Data Index: 766075 (C4 (Web Text))

Max Activating Token Index: 309

Text #2

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Max Act: 0.0121. Min Act: -0.0002

Data Index: 341658 (C4 (Web Text))

Max Activating Token Index: 328

Text #3

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 88703 (C4 (Web Text))

Max Activating Token Index: 307

Text #4

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Max Activating Token Index: 513

Text #5

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Max Activating Token Index: 381

Text #6

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Max Activating Token Index: 521

Text #7

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Max Activating Token Index: 656

Text #8

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Max Activating Token Index: 56

Text #9

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Max Activating Token Index: 469

Text #10

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Max Activating Token Index: 806

Text #11

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Max Activating Token Index: 425

Text #12

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Max Activating Token Index: 515

Text #13

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Max Activating Token Index: 243

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: 417

Text #18

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Max Activating Token Index: 434

Text #19

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Data Index: 199763 (C4 (Web Text))

Max Activating Token Index: 983