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

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

Neuron 3013 in Layer 2

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

Text #0

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Max Act: 0.3002. Min Act: -0.0003

Data Index: 308901 (C4 (Web Text))

Max Activating Token Index: 158

Text #1

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Max Act: 0.2901. Min Act: -0.0003

Data Index: 1558755 (Python Code)

Max Activating Token Index: 95

Text #2

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Data Index: 608766 (C4 (Web Text))

Max Activating Token Index: 672

Text #3

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Max Act: 0.2657. Min Act: -0.0003

Data Index: 782557 (C4 (Web Text))

Max Activating Token Index: 868

Text #4

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Max Act: 0.2618. Min Act: -0.0003

Data Index: 1350906 (C4 (Web Text))

Max Activating Token Index: 830

Text #5

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Data Index: 500973 (C4 (Web Text))

Max Activating Token Index: 160

Text #6

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Max Activating Token Index: 837

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 238

Text #10

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Max Activating Token Index: 616

Text #11

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Max Activating Token Index: 590

Text #12

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Max Activating Token Index: 925

Text #13

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Data Index: 570015 (C4 (Web Text))

Max Activating Token Index: 815

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 836

Text #17

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Max Activating Token Index: 910

Text #18

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Data Index: 1036403 (C4 (Web Text))

Max Activating Token Index: 506

Text #19

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Data Index: 1597788 (Python Code)

Max Activating Token Index: 555