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

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

Neuron 989 in Layer 0

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

Text #0

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Max Act: 0.0635. Min Act: -0.0002

Data Index: 1271037 (C4 (Web Text))

Max Activating Token Index: 53

Text #1

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Data Index: 990627 (C4 (Web Text))

Max Activating Token Index: 189

Text #2

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Data Index: 776566 (C4 (Web Text))

Max Activating Token Index: 129

Text #3

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Max Act: 0.0571. Min Act: -0.0002

Data Index: 1167633 (C4 (Web Text))

Max Activating Token Index: 710

Text #4

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Data Index: 875125 (C4 (Web Text))

Max Activating Token Index: 193

Text #5

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Data Index: 817447 (C4 (Web Text))

Max Activating Token Index: 272

Text #6

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Max Activating Token Index: 799

Text #7

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Data Index: 3328 (C4 (Web Text))

Max Activating Token Index: 227

Text #8

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Max Activating Token Index: 35

Text #9

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Max Activating Token Index: 53

Text #10

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Max Activating Token Index: 631

Text #11

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Max Activating Token Index: 88

Text #12

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Max Activating Token Index: 92

Text #13

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Max Activating Token Index: 593

Text #14

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Max Activating Token Index: 476

Text #15

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Max Activating Token Index: 663

Text #16

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Max Activating Token Index: 1016

Text #17

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Max Activating Token Index: 402

Text #18

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Data Index: 1000942 (C4 (Web Text))

Max Activating Token Index: 424

Text #19

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Data Index: 85526 (C4 (Web Text))

Max Activating Token Index: 885