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

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

Neuron 262 in Layer 9

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



Text #0

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Max Act: 0.6066. Min Act: -0.0001

Data Index: 1605771 (Python Code)

Max Activating Token Index: 869

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Text #1

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Data Index: 802685 (C4 (Web Text))

Max Activating Token Index: 754

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Text #2

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Max Act: 0.4117. Min Act: -0.0000

Data Index: 259213 (C4 (Web Text))

Max Activating Token Index: 830

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Text #3

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Data Index: 578411 (C4 (Web Text))

Max Activating Token Index: 121

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Text #4

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Data Index: 1043790 (C4 (Web Text))

Max Activating Token Index: 967

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Text #5

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Data Index: 1037424 (C4 (Web Text))

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Text #6

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Data Index: 1561564 (Python Code)

Max Activating Token Index: 540

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Text #7

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Text #8

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Data Index: 153989 (C4 (Web Text))

Max Activating Token Index: 742

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Text #9

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Data Index: 319925 (C4 (Web Text))

Max Activating Token Index: 723

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Text #10

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Text #11

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Text #12

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Data Index: 692330 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 138013 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 460379 (C4 (Web Text))

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Text #18

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Data Index: 546598 (C4 (Web Text))

Max Activating Token Index: 996

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Text #19

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Data Index: 1106275 (C4 (Web Text))

Max Activating Token Index: 895

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