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

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

Neuron 2541 in Layer 2

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

Text #0

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Max Act: 0.0692. Min Act: -0.0002

Data Index: 1045369 (C4 (Web Text))

Max Activating Token Index: 525

Text #1

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Max Act: 0.0701. Min Act: -0.0002

Data Index: 300146 (C4 (Web Text))

Max Activating Token Index: 100

Text #2

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 1100669 (C4 (Web Text))

Max Activating Token Index: 857

Text #3

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Max Act: 0.0762. Min Act: -0.0002

Data Index: 482455 (C4 (Web Text))

Max Activating Token Index: 138

Text #4

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Max Act: 0.0586. Min Act: -0.0002

Data Index: 329154 (C4 (Web Text))

Max Activating Token Index: 119

Text #5

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Data Index: 1096650 (C4 (Web Text))

Max Activating Token Index: 961

Text #6

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Data Index: 414526 (C4 (Web Text))

Max Activating Token Index: 529

Text #7

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Data Index: 310935 (C4 (Web Text))

Max Activating Token Index: 1006

Text #8

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Data Index: 729107 (C4 (Web Text))

Max Activating Token Index: 101

Text #9

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Data Index: 707337 (C4 (Web Text))

Max Activating Token Index: 888

Text #10

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Data Index: 229167 (C4 (Web Text))

Max Activating Token Index: 902

Text #11

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Data Index: 1031281 (C4 (Web Text))

Max Activating Token Index: 568

Text #12

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Data Index: 463976 (C4 (Web Text))

Max Activating Token Index: 569

Text #13

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Data Index: 161869 (C4 (Web Text))

Max Activating Token Index: 969

Text #14

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Data Index: 436242 (C4 (Web Text))

Max Activating Token Index: 43

Text #15

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Max Activating Token Index: 914

Text #16

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Max Activating Token Index: 125

Text #17

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Max Activating Token Index: 902

Text #18

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Data Index: 637661 (C4 (Web Text))

Max Activating Token Index: 244

Text #19

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Data Index: 808461 (C4 (Web Text))

Max Activating Token Index: 306