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

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

Neuron 1650 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 3.5035. Min Act: -0.0001

Data Index: 184432 (C4 (Web Text))

Max Activating Token Index: 905

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Text #1

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Max Act: 2.8209. Min Act: -0.0001

Data Index: 388486 (C4 (Web Text))

Max Activating Token Index: 1003

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Text #2

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Max Act: 2.8561. Min Act: -0.0001

Data Index: 828840 (C4 (Web Text))

Max Activating Token Index: 757

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Text #3

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Data Index: 970637 (C4 (Web Text))

Max Activating Token Index: 988

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Text #4

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Data Index: 1095147 (C4 (Web Text))

Max Activating Token Index: 177

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Text #5

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Data Index: 264595 (C4 (Web Text))

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Text #6

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Data Index: 871624 (C4 (Web Text))

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Text #7

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Data Index: 718272 (C4 (Web Text))

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Text #8

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Data Index: 393368 (C4 (Web Text))

Max Activating Token Index: 179

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Text #9

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Data Index: 362642 (C4 (Web Text))

Max Activating Token Index: 452

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Text #10

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Text #11

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Data Index: 525177 (C4 (Web Text))

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Text #12

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Max Activating Token Index: 33

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Text #13

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Text #14

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Text #15

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Data Index: 419600 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 906362 (C4 (Web Text))

Max Activating Token Index: 221

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Text #18

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Max Act: 2.2395. Min Act: -0.0001

Data Index: 142868 (C4 (Web Text))

Max Activating Token Index: 966

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Text #19

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Data Index: 1042453 (C4 (Web Text))

Max Activating Token Index: 273

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