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

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

Neuron 4605 in Layer 2

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

Text #0

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Max Act: 0.0817. Min Act: -0.0003

Data Index: 85139 (C4 (Web Text))

Max Activating Token Index: 422

Text #1

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Max Act: 0.0717. Min Act: -0.0003

Data Index: 234131 (C4 (Web Text))

Max Activating Token Index: 543

Text #2

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Max Act: 0.0751. Min Act: -0.0002

Data Index: 862851 (C4 (Web Text))

Max Activating Token Index: 920

Text #3

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Max Act: 0.0634. Min Act: -0.0002

Data Index: 794066 (C4 (Web Text))

Max Activating Token Index: 713

Text #4

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Max Act: 0.0534. Min Act: -0.0002

Data Index: 1260740 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Max Act: 0.0625. Min Act: -0.0002

Data Index: 1329149 (C4 (Web Text))

Max Activating Token Index: 431

Text #6

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Data Index: 102436 (C4 (Web Text))

Max Activating Token Index: 675

Text #7

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Max Activating Token Index: 401

Text #8

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Data Index: 235224 (C4 (Web Text))

Max Activating Token Index: 237

Text #9

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Max Activating Token Index: 670

Text #10

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Max Activating Token Index: 397

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Max Activating Token Index: 689

Text #12

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Data Index: 257177 (C4 (Web Text))

Max Activating Token Index: 798

Text #13

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Data Index: 156169 (C4 (Web Text))

Max Activating Token Index: 690

Text #14

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Max Activating Token Index: 398

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 597

Text #18

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Data Index: 1264465 (C4 (Web Text))

Max Activating Token Index: 273

Text #19

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Data Index: 939753 (C4 (Web Text))

Max Activating Token Index: 893