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

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

Neuron 2195 in Layer 3

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.0768. Min Act: -0.0001

Data Index: 1009691 (C4 (Web Text))

Max Activating Token Index: 570

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Text #1

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Data Index: 78997 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #2

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Max Act: 0.0756. Min Act: -0.0001

Data Index: 1509220 (Python Code)

Max Activating Token Index: 26

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Text #3

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Max Act: 0.0744. Min Act: -0.0001

Data Index: 1019496 (C4 (Web Text))

Max Activating Token Index: 906

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Text #4

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Data Index: 973708 (C4 (Web Text))

Max Activating Token Index: 779

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Text #5

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Data Index: 1215073 (C4 (Web Text))

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Text #6

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Data Index: 24142 (C4 (Web Text))

Max Activating Token Index: 967

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Text #7

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Data Index: 1616854 (Python Code)

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Text #8

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Data Index: 621175 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #9

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Data Index: 284699 (C4 (Web Text))

Max Activating Token Index: 824

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Text #10

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Data Index: 1600985 (Python Code)

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Text #11

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Data Index: 1102526 (C4 (Web Text))

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Text #12

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Data Index: 388493 (C4 (Web Text))

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Text #13

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Data Index: 707268 (C4 (Web Text))

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Text #14

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Data Index: 279973 (C4 (Web Text))

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Text #15

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Data Index: 867280 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 411356 (C4 (Web Text))

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Text #18

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Data Index: 551163 (C4 (Web Text))

Max Activating Token Index: 200

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Text #19

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Data Index: 780330 (C4 (Web Text))

Max Activating Token Index: 956

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