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

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

Neuron 1648 in Layer 1

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

Text #0

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Data Index: 422656 (C4 (Web Text))

Max Activating Token Index: 689

Text #1

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Data Index: 179751 (C4 (Web Text))

Max Activating Token Index: 565

Text #2

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Max Act: 0.0121. Min Act: -0.0006

Data Index: 1204142 (C4 (Web Text))

Max Activating Token Index: 276

Text #3

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Max Act: 0.0121. Min Act: -0.0005

Data Index: 300735 (C4 (Web Text))

Max Activating Token Index: 493

Text #4

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 548661 (C4 (Web Text))

Max Activating Token Index: 800

Text #5

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Max Activating Token Index: 581

Text #6

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Max Activating Token Index: 977

Text #7

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Max Activating Token Index: 102

Text #8

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Max Activating Token Index: 691

Text #9

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Max Activating Token Index: 573

Text #10

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Max Activating Token Index: 1004

Text #11

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Max Activating Token Index: 677

Text #12

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Max Activating Token Index: 708

Text #13

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Max Activating Token Index: 602

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 132

Text #18

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Max Activating Token Index: 706

Text #19

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Data Index: 663594 (C4 (Web Text))

Max Activating Token Index: 380