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

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

Neuron 1989 in Layer 1

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: 0.0325. Min Act: -0.0003

Data Index: 888876 (C4 (Web Text))

Max Activating Token Index: 235

Text #1

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Max Act: 0.0332. Min Act: -0.0003

Data Index: 469829 (C4 (Web Text))

Max Activating Token Index: 292

Text #2

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Max Act: 0.0337. Min Act: -0.0002

Data Index: 47853 (C4 (Web Text))

Max Activating Token Index: 736

Text #3

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Max Act: 0.0331. Min Act: -0.0003

Data Index: 12970 (C4 (Web Text))

Max Activating Token Index: 146

Text #4

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Max Activating Token Index: 662

Text #5

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Max Activating Token Index: 753

Text #6

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Max Activating Token Index: 555

Text #7

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Max Activating Token Index: 972

Text #8

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Max Activating Token Index: 335

Text #9

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Max Activating Token Index: 753

Text #10

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Max Activating Token Index: 473

Text #11

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Max Activating Token Index: 147

Text #12

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Max Activating Token Index: 24

Text #13

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Max Activating Token Index: 347

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 868

Text #18

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Max Activating Token Index: 577

Text #19

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Data Index: 663172 (C4 (Web Text))

Max Activating Token Index: 93