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

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

Neuron 399 in Layer 0

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

Text #0

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 167818 (C4 (Web Text))

Max Activating Token Index: 880

Text #1

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 609334 (C4 (Web Text))

Max Activating Token Index: 369

Text #2

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Data Index: 1112202 (C4 (Web Text))

Max Activating Token Index: 973

Text #3

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Data Index: 312525 (C4 (Web Text))

Max Activating Token Index: 696

Text #4

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Data Index: 1007806 (C4 (Web Text))

Max Activating Token Index: 467

Text #5

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Data Index: 494734 (C4 (Web Text))

Max Activating Token Index: 114

Text #6

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Max Activating Token Index: 838

Text #7

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Max Activating Token Index: 787

Text #8

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Max Activating Token Index: 612

Text #9

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Max Activating Token Index: 127

Text #10

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Data Index: 383019 (C4 (Web Text))

Max Activating Token Index: 345

Text #11

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Max Activating Token Index: 445

Text #12

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Text #13

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Data Index: 941204 (C4 (Web Text))

Max Activating Token Index: 648

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: 1011

Text #18

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Max Activating Token Index: 272

Text #19

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Data Index: 675862 (C4 (Web Text))

Max Activating Token Index: 278