Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1742 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0640. Min Act: -0.0004

Data Index: 1348713 (C4 (Web Text))

Max Activating Token Index: 449

Text #1

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Max Act: 0.0479. Min Act: -0.0004

Data Index: 311743 (C4 (Web Text))

Max Activating Token Index: 346

Text #2

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Max Act: 0.0510. Min Act: -0.0004

Data Index: 469792 (C4 (Web Text))

Max Activating Token Index: 597

Text #3

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Max Act: 0.0475. Min Act: -0.0004

Data Index: 390737 (C4 (Web Text))

Max Activating Token Index: 798

Text #4

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Data Index: 917117 (C4 (Web Text))

Max Activating Token Index: 898

Text #5

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Data Index: 1305693 (C4 (Web Text))

Max Activating Token Index: 533

Text #6

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Data Index: 732616 (C4 (Web Text))

Max Activating Token Index: 869

Text #7

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Max Activating Token Index: 608

Text #8

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Max Activating Token Index: 471

Text #9

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Data Index: 266195 (C4 (Web Text))

Max Activating Token Index: 831

Text #10

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Data Index: 792589 (C4 (Web Text))

Max Activating Token Index: 680

Text #11

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Max Activating Token Index: 921

Text #12

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Max Activating Token Index: 792

Text #13

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Data Index: 434576 (C4 (Web Text))

Max Activating Token Index: 866

Text #14

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Data Index: 737102 (C4 (Web Text))

Max Activating Token Index: 1013

Text #15

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Max Activating Token Index: 346

Text #16

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Max Activating Token Index: 919

Text #17

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Max Activating Token Index: 822

Text #18

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Data Index: 53806 (C4 (Web Text))

Max Activating Token Index: 370

Text #19

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Data Index: 773843 (C4 (Web Text))

Max Activating Token Index: 242