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

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

Neuron 1819 in Layer 1

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

Text #0

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Max Act: 0.0620. Min Act: -0.0003

Data Index: 614472 (C4 (Web Text))

Max Activating Token Index: 192

Text #1

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Max Act: 0.0602. Min Act: -0.0003

Data Index: 1167823 (C4 (Web Text))

Max Activating Token Index: 721

Text #2

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Max Act: 0.0595. Min Act: -0.0003

Data Index: 62000 (C4 (Web Text))

Max Activating Token Index: 664

Text #3

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Max Act: 0.0558. Min Act: -0.0004

Data Index: 465546 (C4 (Web Text))

Max Activating Token Index: 916

Text #4

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Data Index: 1200898 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Data Index: 356964 (C4 (Web Text))

Max Activating Token Index: 486

Text #6

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Max Activating Token Index: 817

Text #7

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Max Activating Token Index: 736

Text #8

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Max Activating Token Index: 604

Text #9

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Max Activating Token Index: 576

Text #10

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Max Activating Token Index: 964

Text #11

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Data Index: 1009949 (C4 (Web Text))

Max Activating Token Index: 288

Text #12

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Max Activating Token Index: 165

Text #13

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Data Index: 748665 (C4 (Web Text))

Max Activating Token Index: 702

Text #14

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Max Activating Token Index: 553

Text #15

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Text #16

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Max Activating Token Index: 303

Text #17

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Max Activating Token Index: 192

Text #18

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Data Index: 366685 (C4 (Web Text))

Max Activating Token Index: 467

Text #19

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Data Index: 1264904 (C4 (Web Text))

Max Activating Token Index: 534