Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3426 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0429. Min Act: -0.0002

Data Index: 480856 (C4 (Web Text))

Max Activating Token Index: 57

Text #1

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 1024519 (C4 (Web Text))

Max Activating Token Index: 650

Text #2

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 468696 (C4 (Web Text))

Max Activating Token Index: 60

Text #3

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Max Act: 0.0410. Min Act: -0.0002

Data Index: 212873 (C4 (Web Text))

Max Activating Token Index: 37

Text #4

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Max Act: 0.0408. Min Act: -0.0002

Data Index: 317780 (C4 (Web Text))

Max Activating Token Index: 448

Text #5

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Max Act: 0.0399. Min Act: -0.0002

Data Index: 779695 (C4 (Web Text))

Max Activating Token Index: 89

Text #6

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Max Activating Token Index: 581

Text #7

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Data Index: 188526 (C4 (Web Text))

Max Activating Token Index: 158

Text #8

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Max Activating Token Index: 783

Text #9

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Max Activating Token Index: 814

Text #10

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Max Activating Token Index: 122

Text #11

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Data Index: 846980 (C4 (Web Text))

Max Activating Token Index: 130

Text #12

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Data Index: 101405 (C4 (Web Text))

Max Activating Token Index: 655

Text #13

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Data Index: 1131827 (C4 (Web Text))

Max Activating Token Index: 594

Text #14

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Data Index: 438340 (C4 (Web Text))

Max Activating Token Index: 929

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 617

Text #18

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Data Index: 773734 (C4 (Web Text))

Max Activating Token Index: 113

Text #19

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Max Act: 0.0382. Min Act: -0.0002

Data Index: 218512 (C4 (Web Text))

Max Activating Token Index: 546