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

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

Neuron 1921 in Layer 1

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

Text #0

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Max Act: 0.0575. Min Act: -0.0003

Data Index: 376707 (C4 (Web Text))

Max Activating Token Index: 204

Text #1

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 37331 (C4 (Web Text))

Max Activating Token Index: 878

Text #2

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Max Act: 0.0553. Min Act: -0.0003

Data Index: 330605 (C4 (Web Text))

Max Activating Token Index: 1014

Text #3

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Max Act: 0.0562. Min Act: -0.0002

Data Index: 168590 (C4 (Web Text))

Max Activating Token Index: 665

Text #4

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Max Act: 0.0549. Min Act: -0.0003

Data Index: 962435 (C4 (Web Text))

Max Activating Token Index: 196

Text #5

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Max Act: 0.0549. Min Act: -0.0003

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Max Activating Token Index: 773

Text #6

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Max Activating Token Index: 74

Text #7

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Max Activating Token Index: 89

Text #8

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Max Activating Token Index: 675

Text #9

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Max Activating Token Index: 116

Text #10

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Max Activating Token Index: 486

Text #11

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Max Activating Token Index: 736

Text #12

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Max Activating Token Index: 701

Text #13

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Data Index: 563919 (C4 (Web Text))

Max Activating Token Index: 364

Text #14

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Max Activating Token Index: 856

Text #15

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Max Activating Token Index: 257

Text #16

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Text #17

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Max Activating Token Index: 981

Text #18

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Max Activating Token Index: 325

Text #19

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Data Index: 332962 (C4 (Web Text))

Max Activating Token Index: 887