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

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

Neuron 487 in Layer 1

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

Text #0

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Max Act: 0.0631. Min Act: -0.0003

Data Index: 1220260 (C4 (Web Text))

Max Activating Token Index: 437

Text #1

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Data Index: 85039 (C4 (Web Text))

Max Activating Token Index: 373

Text #2

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Data Index: 1221973 (C4 (Web Text))

Max Activating Token Index: 418

Text #3

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Max Act: 0.0555. Min Act: -0.0003

Data Index: 108708 (C4 (Web Text))

Max Activating Token Index: 201

Text #4

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Data Index: 62164 (C4 (Web Text))

Max Activating Token Index: 144

Text #5

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Data Index: 41191 (C4 (Web Text))

Max Activating Token Index: 292

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 1002

Text #9

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Max Activating Token Index: 107

Text #10

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Max Activating Token Index: 351

Text #12

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Max Activating Token Index: 295

Text #13

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Data Index: 900203 (C4 (Web Text))

Max Activating Token Index: 470

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: 606

Text #18

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Max Activating Token Index: 245

Text #19

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Data Index: 558151 (C4 (Web Text))

Max Activating Token Index: 420