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

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

Neuron 3862 in Layer 5

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: 0.0720. Min Act: -0.0001

Data Index: 598163 (C4 (Web Text))

Max Activating Token Index: 47

Text #1

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Data Index: 1041607 (C4 (Web Text))

Max Activating Token Index: 165

Text #2

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Max Act: 0.0634. Min Act: -0.0000

Data Index: 485152 (C4 (Web Text))

Max Activating Token Index: 755

Text #3

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Max Act: 0.0625. Min Act: -0.0000

Data Index: 1398463 (Python Code)

Max Activating Token Index: 143

Text #4

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Max Act: 0.0620. Min Act: -0.0000

Data Index: 808845 (C4 (Web Text))

Max Activating Token Index: 411

Text #5

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Data Index: 134181 (C4 (Web Text))

Max Activating Token Index: 972

Text #6

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Max Activating Token Index: 948

Text #7

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Max Activating Token Index: 845

Text #8

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Data Index: 274657 (C4 (Web Text))

Max Activating Token Index: 46

Text #9

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Max Activating Token Index: 803

Text #10

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Max Activating Token Index: 768

Text #11

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Max Activating Token Index: 562

Text #12

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Max Activating Token Index: 158

Text #13

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Max Activating Token Index: 191

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 797

Text #19

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Data Index: 78768 (C4 (Web Text))

Max Activating Token Index: 790