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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 687 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 1.0971. Min Act: -0.0001

Data Index: 221591 (C4 (Web Text))

Max Activating Token Index: 1006

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Text #1

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Data Index: 1146961 (C4 (Web Text))

Max Activating Token Index: 307

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Text #2

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Max Act: 1.0908. Min Act: -0.0001

Data Index: 857164 (C4 (Web Text))

Max Activating Token Index: 867

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Text #3

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Data Index: 1339015 (C4 (Web Text))

Max Activating Token Index: 1019

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Text #4

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Data Index: 717544 (C4 (Web Text))

Max Activating Token Index: 1016

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Text #5

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Data Index: 174680 (C4 (Web Text))

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Text #6

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Data Index: 1198192 (C4 (Web Text))

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Text #7

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Data Index: 749518 (C4 (Web Text))

Max Activating Token Index: 476

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Text #8

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Data Index: 922903 (C4 (Web Text))

Max Activating Token Index: 1022

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Text #9

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Data Index: 1263111 (C4 (Web Text))

Max Activating Token Index: 945

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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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Data Index: 28484 (C4 (Web Text))

Max Activating Token Index: 983

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Text #14

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Data Index: 708107 (C4 (Web Text))

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Text #15

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Data Index: 150464 (C4 (Web Text))

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Text #16

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Data Index: 169047 (C4 (Web Text))

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Text #17

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Max Act: 1.0383. Min Act: -0.0001

Data Index: 878412 (C4 (Web Text))

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Text #18

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Max Act: 1.0366. Min Act: -0.0002

Data Index: 788307 (C4 (Web Text))

Max Activating Token Index: 867

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Text #19

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Data Index: 457415 (C4 (Web Text))

Max Activating Token Index: 1002

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