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

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

Neuron 2199 in Layer 9

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



Text #0

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Max Act: 0.3778. Min Act: -0.0000

Data Index: 1524496 (Python Code)

Max Activating Token Index: 697

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Text #1

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Max Act: 0.2685. Min Act: -0.0000

Data Index: 945926 (C4 (Web Text))

Max Activating Token Index: 253

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Text #2

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Max Act: 0.2377. Min Act: -0.0000

Data Index: 708378 (C4 (Web Text))

Max Activating Token Index: 885

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Text #3

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Max Act: 0.2137. Min Act: -0.0000

Data Index: 129106 (C4 (Web Text))

Max Activating Token Index: 1020

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Truncated

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Text #4

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Max Act: 0.2002. Min Act: -0.0000

Data Index: 596736 (C4 (Web Text))

Max Activating Token Index: 384

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Truncated

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Text #5

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Data Index: 65878 (C4 (Web Text))

Max Activating Token Index: 454

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Text #6

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Data Index: 445114 (C4 (Web Text))

Max Activating Token Index: 731

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Text #7

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Data Index: 89997 (C4 (Web Text))

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Text #8

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Data Index: 1267978 (C4 (Web Text))

Max Activating Token Index: 125

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Text #9

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Data Index: 123212 (C4 (Web Text))

Max Activating Token Index: 689

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Text #10

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Data Index: 1031265 (C4 (Web Text))

Max Activating Token Index: 604

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Text #11

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Text #12

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Data Index: 851510 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 427796 (C4 (Web Text))

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Text #15

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Data Index: 666066 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #16

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Text #17

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Data Index: 150289 (C4 (Web Text))

Max Activating Token Index: 544

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Text #18

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Data Index: 1100533 (C4 (Web Text))

Max Activating Token Index: 868

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Text #19

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Data Index: 1335588 (C4 (Web Text))

Max Activating Token Index: 555

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