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

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

Neuron 4436 in Layer 0

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

Text #0

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Max Act: 0.1032. Min Act: -0.0001

Data Index: 947449 (C4 (Web Text))

Max Activating Token Index: 307

Text #1

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Data Index: 173674 (C4 (Web Text))

Max Activating Token Index: 878

Text #2

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Max Act: 0.0892. Min Act: -0.0002

Data Index: 1241093 (C4 (Web Text))

Max Activating Token Index: 979

Text #3

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Max Act: 0.0876. Min Act: -0.0001

Data Index: 463880 (C4 (Web Text))

Max Activating Token Index: 742

Text #4

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Data Index: 1132641 (C4 (Web Text))

Max Activating Token Index: 673

Text #5

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Max Activating Token Index: 626

Text #6

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Max Activating Token Index: 55

Text #7

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Max Activating Token Index: 904

Text #8

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Data Index: 154175 (C4 (Web Text))

Max Activating Token Index: 842

Text #9

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Max Activating Token Index: 279

Text #10

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Data Index: 785571 (C4 (Web Text))

Max Activating Token Index: 863

Text #11

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Data Index: 319631 (C4 (Web Text))

Max Activating Token Index: 204

Text #12

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Data Index: 406875 (C4 (Web Text))

Max Activating Token Index: 574

Text #13

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Data Index: 161626 (C4 (Web Text))

Max Activating Token Index: 878

Text #14

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Data Index: 294266 (C4 (Web Text))

Max Activating Token Index: 521

Text #15

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Max Activating Token Index: 269

Text #16

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Max Activating Token Index: 470

Text #17

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Max Activating Token Index: 762

Text #18

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Data Index: 1249739 (C4 (Web Text))

Max Activating Token Index: 197

Text #19

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Data Index: 678217 (C4 (Web Text))

Max Activating Token Index: 614