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

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

Neuron 398 in Layer 9

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



Text #0

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Max Act: 0.8731. Min Act: -0.0000

Data Index: 100627 (C4 (Web Text))

Max Activating Token Index: 918

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Text #1

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Data Index: 960570 (C4 (Web Text))

Max Activating Token Index: 738

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Text #2

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Data Index: 859986 (C4 (Web Text))

Max Activating Token Index: 934

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Text #3

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Data Index: 160693 (C4 (Web Text))

Max Activating Token Index: 12

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Text #4

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Data Index: 1265659 (C4 (Web Text))

Max Activating Token Index: 971

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Text #5

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Data Index: 698841 (C4 (Web Text))

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Text #6

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Data Index: 426655 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 103113 (C4 (Web Text))

Max Activating Token Index: 837

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Text #9

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Data Index: 1114964 (C4 (Web Text))

Max Activating Token Index: 612

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Data Index: 1645174 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1073120 (C4 (Web Text))

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Text #18

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Data Index: 662961 (C4 (Web Text))

Max Activating Token Index: 42

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Text #19

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Data Index: 1644822 (Python Code)

Max Activating Token Index: 874

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