Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2101 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0439. Min Act: -0.0004

Data Index: 415501 (C4 (Web Text))

Max Activating Token Index: 308

Text #1

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Data Index: 720770 (C4 (Web Text))

Max Activating Token Index: 765

Text #2

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Max Act: 0.0518. Min Act: -0.0004

Data Index: 675238 (C4 (Web Text))

Max Activating Token Index: 374

Text #3

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Max Act: 0.0454. Min Act: -0.0004

Data Index: 1210827 (C4 (Web Text))

Max Activating Token Index: 502

Text #4

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Max Act: 0.0473. Min Act: -0.0004

Data Index: 323254 (C4 (Web Text))

Max Activating Token Index: 884

Text #5

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Max Activating Token Index: 670

Text #6

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Data Index: 7822 (C4 (Web Text))

Max Activating Token Index: 804

Text #7

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Max Activating Token Index: 708

Text #8

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Max Activating Token Index: 465

Text #9

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Data Index: 821066 (C4 (Web Text))

Max Activating Token Index: 124

Text #10

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Data Index: 314841 (C4 (Web Text))

Max Activating Token Index: 715

Text #11

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Data Index: 372682 (C4 (Web Text))

Max Activating Token Index: 395

Text #12

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Max Activating Token Index: 332

Text #13

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Max Activating Token Index: 823

Text #14

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Max Activating Token Index: 632

Text #15

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Max Activating Token Index: 870

Text #16

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Max Activating Token Index: 782

Text #17

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Max Activating Token Index: 906

Text #18

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Max Activating Token Index: 102

Text #19

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Data Index: 1115428 (C4 (Web Text))

Max Activating Token Index: 464