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

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

Neuron 1305 in Layer 1

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

Text #0

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Max Act: 0.0614. Min Act: -0.0003

Data Index: 192612 (C4 (Web Text))

Max Activating Token Index: 643

Text #1

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Data Index: 143658 (C4 (Web Text))

Max Activating Token Index: 592

Text #2

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 1002668 (C4 (Web Text))

Max Activating Token Index: 301

Text #3

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Max Act: 0.0541. Min Act: -0.0003

Data Index: 169611 (C4 (Web Text))

Max Activating Token Index: 464

Text #4

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Max Act: 0.0544. Min Act: -0.0003

Data Index: 322353 (C4 (Web Text))

Max Activating Token Index: 915

Text #5

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Data Index: 672721 (C4 (Web Text))

Max Activating Token Index: 912

Text #6

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Data Index: 84623 (C4 (Web Text))

Max Activating Token Index: 72

Text #7

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Text #8

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Max Activating Token Index: 755

Text #9

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Max Activating Token Index: 558

Text #10

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Max Activating Token Index: 287

Text #11

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Max Activating Token Index: 703

Text #12

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Max Activating Token Index: 651

Text #13

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Max Activating Token Index: 795

Text #14

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Max Activating Token Index: 513

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: 1212462 (C4 (Web Text))

Max Activating Token Index: 42