Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1463 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 967583 (C4 (Web Text))

Max Activating Token Index: 42

Text #1

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Max Act: 0.0429. Min Act: -0.0003

Data Index: 204105 (C4 (Web Text))

Max Activating Token Index: 57

Text #2

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Max Act: 0.0421. Min Act: -0.0002

Data Index: 1168033 (C4 (Web Text))

Max Activating Token Index: 686

Text #3

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 47078 (C4 (Web Text))

Max Activating Token Index: 544

Text #4

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 312190 (C4 (Web Text))

Max Activating Token Index: 448

Text #5

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 164733 (C4 (Web Text))

Max Activating Token Index: 96

Text #6

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Max Act: 0.0405. Min Act: -0.0002

Data Index: 358289 (C4 (Web Text))

Max Activating Token Index: 119

Text #7

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Max Activating Token Index: 166

Text #8

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Max Activating Token Index: 351

Text #9

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Data Index: 530607 (C4 (Web Text))

Max Activating Token Index: 663

Text #10

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Max Activating Token Index: 245

Text #11

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Max Activating Token Index: 20

Text #12

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Data Index: 885453 (C4 (Web Text))

Max Activating Token Index: 868

Text #13

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Data Index: 208746 (C4 (Web Text))

Max Activating Token Index: 429

Text #14

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Data Index: 782199 (C4 (Web Text))

Max Activating Token Index: 602

Text #15

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Text #16

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Max Activating Token Index: 412

Text #17

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Max Activating Token Index: 123

Text #18

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Data Index: 117275 (C4 (Web Text))

Max Activating Token Index: 128

Text #19

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Data Index: 839398 (C4 (Web Text))

Max Activating Token Index: 145