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

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

Neuron 3100 in Layer 9

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



Text #0

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Max Act: 1.5281. Min Act: -0.0000

Data Index: 1068356 (C4 (Web Text))

Max Activating Token Index: 130

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Text #1

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Max Act: 1.4057. Min Act: -0.0000

Data Index: 1288795 (C4 (Web Text))

Max Activating Token Index: 135

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Text #2

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Max Act: 1.2204. Min Act: -0.0000

Data Index: 647644 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #3

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Max Act: 1.1957. Min Act: -0.0000

Data Index: 1170005 (C4 (Web Text))

Max Activating Token Index: 90

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Text #4

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Data Index: 1078059 (C4 (Web Text))

Max Activating Token Index: 218

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Text #5

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Data Index: 848012 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 817

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Text #7

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Text #8

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Data Index: 18539 (C4 (Web Text))

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Text #9

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Data Index: 465306 (C4 (Web Text))

Max Activating Token Index: 427

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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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Text #15

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Text #16

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Text #17

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Data Index: 520585 (C4 (Web Text))

Max Activating Token Index: 933

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Text #18

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Data Index: 615784 (C4 (Web Text))

Max Activating Token Index: 810

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Text #19

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Data Index: 495582 (C4 (Web Text))

Max Activating Token Index: 973

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