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

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

Neuron 1759 in Layer 2

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

Text #0

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Max Act: 0.0331. Min Act: -0.0003

Data Index: 835647 (C4 (Web Text))

Max Activating Token Index: 308

Text #1

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Data Index: 902174 (C4 (Web Text))

Max Activating Token Index: 747

Text #2

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Max Act: 0.0316. Min Act: -0.0003

Data Index: 981388 (C4 (Web Text))

Max Activating Token Index: 906

Text #3

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 1330506 (C4 (Web Text))

Max Activating Token Index: 341

Text #4

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 193462 (C4 (Web Text))

Max Activating Token Index: 31

Text #5

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Max Act: 0.0307. Min Act: -0.0003

Data Index: 1199394 (C4 (Web Text))

Max Activating Token Index: 400

Text #6

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Max Activating Token Index: 57

Text #7

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Max Activating Token Index: 278

Text #8

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Max Activating Token Index: 531

Text #9

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Max Activating Token Index: 71

Text #10

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Max Activating Token Index: 794

Text #11

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Max Activating Token Index: 919

Text #12

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Max Activating Token Index: 681

Text #13

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Data Index: 276183 (C4 (Web Text))

Max Activating Token Index: 102

Text #14

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Text #15

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Max Activating Token Index: 357

Text #16

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Max Activating Token Index: 258

Text #17

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Max Activating Token Index: 707

Text #18

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Max Activating Token Index: 311

Text #19

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Data Index: 283698 (C4 (Web Text))

Max Activating Token Index: 79