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

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

Neuron 806 in Layer 0

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

Text #0

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Max Act: 0.0397. Min Act: -0.0004

Data Index: 284578 (C4 (Web Text))

Max Activating Token Index: 175

Text #1

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Max Act: 0.0357. Min Act: -0.0004

Data Index: 569686 (C4 (Web Text))

Max Activating Token Index: 79

Text #2

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Max Act: 0.0347. Min Act: -0.0004

Data Index: 337535 (C4 (Web Text))

Max Activating Token Index: 192

Text #3

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Max Act: 0.0331. Min Act: -0.0004

Data Index: 632654 (C4 (Web Text))

Max Activating Token Index: 778

Text #4

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Data Index: 1200435 (C4 (Web Text))

Max Activating Token Index: 668

Text #5

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Data Index: 141141 (C4 (Web Text))

Max Activating Token Index: 109

Text #6

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Max Activating Token Index: 665

Text #7

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Data Index: 95283 (C4 (Web Text))

Max Activating Token Index: 623

Text #8

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Max Activating Token Index: 51

Text #9

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Max Activating Token Index: 402

Text #10

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Max Activating Token Index: 968

Text #11

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Max Activating Token Index: 848

Text #12

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Max Activating Token Index: 200

Text #13

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Max Activating Token Index: 840

Text #14

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Data Index: 207998 (C4 (Web Text))

Max Activating Token Index: 123

Text #15

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Max Activating Token Index: 463

Text #16

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Max Activating Token Index: 406

Text #17

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Max Activating Token Index: 55

Text #18

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Data Index: 166028 (C4 (Web Text))

Max Activating Token Index: 337

Text #19

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Data Index: 830395 (C4 (Web Text))

Max Activating Token Index: 311