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

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

Neuron 1694 in Layer 1

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

Text #0

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 633503 (C4 (Web Text))

Max Activating Token Index: 829

Text #1

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Data Index: 218326 (C4 (Web Text))

Max Activating Token Index: 869

Text #2

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Data Index: 349864 (C4 (Web Text))

Max Activating Token Index: 784

Text #3

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Max Act: 0.0276. Min Act: -0.0003

Data Index: 602931 (C4 (Web Text))

Max Activating Token Index: 324

Text #4

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Data Index: 806238 (C4 (Web Text))

Max Activating Token Index: 427

Text #5

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Data Index: 475940 (C4 (Web Text))

Max Activating Token Index: 679

Text #6

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Data Index: 440356 (C4 (Web Text))

Max Activating Token Index: 277

Text #7

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Text #8

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Max Activating Token Index: 722

Text #9

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Max Activating Token Index: 287

Text #10

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Data Index: 666831 (C4 (Web Text))

Max Activating Token Index: 221

Text #11

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Data Index: 168004 (C4 (Web Text))

Max Activating Token Index: 529

Text #12

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Max Activating Token Index: 825

Text #13

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Data Index: 362103 (C4 (Web Text))

Max Activating Token Index: 564

Text #14

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Max Activating Token Index: 768

Text #15

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Text #16

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Max Activating Token Index: 143

Text #17

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Max Activating Token Index: 555

Text #18

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Max Activating Token Index: 224

Text #19

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Data Index: 471475 (C4 (Web Text))

Max Activating Token Index: 273