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

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

Neuron 1917 in Layer 1

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

Text #0

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 597639 (C4 (Web Text))

Max Activating Token Index: 333

Text #1

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Max Act: 0.0359. Min Act: -0.0003

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Max Activating Token Index: 685

Text #2

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Max Act: 0.0348. Min Act: -0.0003

Data Index: 28919 (C4 (Web Text))

Max Activating Token Index: 588

Text #3

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Max Act: 0.0334. Min Act: -0.0003

Data Index: 3752 (C4 (Web Text))

Max Activating Token Index: 813

Text #4

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Data Index: 1151324 (C4 (Web Text))

Max Activating Token Index: 508

Text #5

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Max Activating Token Index: 351

Text #6

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Max Activating Token Index: 871

Text #7

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Text #8

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Max Activating Token Index: 1013

Text #9

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Max Activating Token Index: 164

Text #10

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Text #11

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Max Activating Token Index: 528

Text #12

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Max Activating Token Index: 921

Text #13

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Max Activating Token Index: 737

Text #14

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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: 615860 (C4 (Web Text))

Max Activating Token Index: 875