Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1790 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0441. Min Act: -0.0005

Data Index: 447235 (C4 (Web Text))

Max Activating Token Index: 359

Text #1

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Data Index: 92972 (C4 (Web Text))

Max Activating Token Index: 336

Text #2

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Max Act: 0.0451. Min Act: -0.0005

Data Index: 1063595 (C4 (Web Text))

Max Activating Token Index: 497

Text #3

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Max Act: 0.0434. Min Act: -0.0005

Data Index: 260795 (C4 (Web Text))

Max Activating Token Index: 449

Text #4

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Data Index: 566239 (C4 (Web Text))

Max Activating Token Index: 698

Text #5

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Max Activating Token Index: 29

Text #6

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Max Activating Token Index: 43

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Max Activating Token Index: 391

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Text #9

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Max Activating Token Index: 464

Text #10

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Max Activating Token Index: 166

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Max Activating Token Index: 386

Text #12

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Max Activating Token Index: 639

Text #13

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Max Activating Token Index: 525

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 540392 (C4 (Web Text))

Max Activating Token Index: 211