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

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

Neuron 3336 in Layer 8

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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Data Index: 1172627 (C4 (Web Text))

Max Activating Token Index: 734

Text #1

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Max Activating Token Index: 1008

Text #2

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Max Activating Token Index: 651

Text #3

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Data Index: 677213 (C4 (Web Text))

Max Activating Token Index: 794

Text #4

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Data Index: 53967 (C4 (Web Text))

Max Activating Token Index: 461

Text #5

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Max Activating Token Index: 996

Text #6

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Max Activating Token Index: 241

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Text #8

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Text #9

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Max Activating Token Index: 486

Text #10

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Max Activating Token Index: 141

Text #11

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Max Activating Token Index: 306

Text #12

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Max Activating Token Index: 295

Text #13

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Data Index: 489549 (C4 (Web Text))

Max Activating Token Index: 560

Text #14

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Max Activating Token Index: 1008

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 1614851 (Python Code)

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Text #19

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Data Index: 1158241 (C4 (Web Text))

Max Activating Token Index: 140