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

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

Neuron 1263 in Layer 1

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

Text #0

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 337494 (C4 (Web Text))

Max Activating Token Index: 724

Text #1

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Data Index: 436960 (C4 (Web Text))

Max Activating Token Index: 47

Text #2

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Max Activating Token Index: 968

Text #3

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Max Act: 0.0301. Min Act: -0.0003

Data Index: 357765 (C4 (Web Text))

Max Activating Token Index: 403

Text #4

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Data Index: 169737 (C4 (Web Text))

Max Activating Token Index: 652

Text #5

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Max Activating Token Index: 866

Text #6

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Data Index: 198112 (C4 (Web Text))

Max Activating Token Index: 913

Text #7

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Max Activating Token Index: 288

Text #8

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Max Activating Token Index: 485

Text #9

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Max Activating Token Index: 149

Text #10

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Max Activating Token Index: 833

Text #11

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Max Activating Token Index: 102

Text #12

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Max Activating Token Index: 90

Text #13

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Max Activating Token Index: 880

Text #14

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Max Activating Token Index: 654

Text #15

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Max Activating Token Index: 31

Text #16

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Max Activating Token Index: 175

Text #17

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Max Activating Token Index: 365

Text #18

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Max Activating Token Index: 490

Text #19

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Data Index: 1137711 (C4 (Web Text))

Max Activating Token Index: 949