Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 685 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0435. Min Act: -0.0003

Data Index: 1023369 (C4 (Web Text))

Max Activating Token Index: 85

Text #1

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 372906 (C4 (Web Text))

Max Activating Token Index: 892

Text #2

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 1175541 (C4 (Web Text))

Max Activating Token Index: 484

Text #3

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 125539 (C4 (Web Text))

Max Activating Token Index: 110

Text #4

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Max Act: 0.0389. Min Act: -0.0003

Data Index: 274856 (C4 (Web Text))

Max Activating Token Index: 878

Text #5

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Max Act: 0.0390. Min Act: -0.0003

Data Index: 623928 (C4 (Web Text))

Max Activating Token Index: 149

Text #6

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Data Index: 303997 (C4 (Web Text))

Max Activating Token Index: 282

Text #7

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Max Activating Token Index: 672

Text #8

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Max Activating Token Index: 909

Text #9

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Max Activating Token Index: 859

Text #10

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Data Index: 562645 (C4 (Web Text))

Max Activating Token Index: 77

Text #11

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Data Index: 603284 (C4 (Web Text))

Max Activating Token Index: 314

Text #12

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Data Index: 549619 (C4 (Web Text))

Max Activating Token Index: 156

Text #13

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Data Index: 601198 (C4 (Web Text))

Max Activating Token Index: 837

Text #14

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Max Activating Token Index: 336

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 90

Text #18

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Data Index: 1006895 (C4 (Web Text))

Max Activating Token Index: 795

Text #19

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Data Index: 280385 (C4 (Web Text))

Max Activating Token Index: 326