Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2589 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 756230 (C4 (Web Text))

Max Activating Token Index: 371

Text #1

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Max Act: 0.0237. Min Act: -0.0003

Data Index: 489809 (C4 (Web Text))

Max Activating Token Index: 244

Text #2

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Max Act: 0.0231. Min Act: -0.0003

Data Index: 496009 (C4 (Web Text))

Max Activating Token Index: 694

Text #3

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Max Act: 0.0231. Min Act: -0.0003

Data Index: 788864 (C4 (Web Text))

Max Activating Token Index: 412

Text #4

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Data Index: 747561 (C4 (Web Text))

Max Activating Token Index: 850

Text #5

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Data Index: 337819 (C4 (Web Text))

Max Activating Token Index: 241

Text #6

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Max Activating Token Index: 59

Text #7

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Max Activating Token Index: 179

Text #8

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Max Activating Token Index: 35

Text #9

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Max Activating Token Index: 919

Text #10

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Max Activating Token Index: 203

Text #11

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Max Activating Token Index: 497

Text #12

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Max Activating Token Index: 1015

Text #13

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Data Index: 190503 (C4 (Web Text))

Max Activating Token Index: 971

Text #14

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Data Index: 759625 (C4 (Web Text))

Max Activating Token Index: 265

Text #15

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Max Activating Token Index: 259

Text #16

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Text #17

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Max Activating Token Index: 60

Text #18

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Max Activating Token Index: 329

Text #19

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Data Index: 1091019 (C4 (Web Text))

Max Activating Token Index: 129