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

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

Neuron 1944 in Layer 1

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: 0.0309. Min Act: -0.0003

Data Index: 973689 (C4 (Web Text))

Max Activating Token Index: 474

Text #1

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Data Index: 268695 (C4 (Web Text))

Max Activating Token Index: 32

Text #2

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Max Act: 0.0264. Min Act: -0.0003

Data Index: 792006 (C4 (Web Text))

Max Activating Token Index: 59

Text #3

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 818350 (C4 (Web Text))

Max Activating Token Index: 288

Text #4

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Data Index: 1150612 (C4 (Web Text))

Max Activating Token Index: 476

Text #5

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Max Activating Token Index: 621

Text #6

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Max Activating Token Index: 783

Text #7

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Max Activating Token Index: 309

Text #8

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Max Activating Token Index: 920

Text #9

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Max Activating Token Index: 1002

Text #10

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Data Index: 87863 (C4 (Web Text))

Max Activating Token Index: 979

Text #11

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Max Activating Token Index: 55

Text #12

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Max Activating Token Index: 753

Text #13

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Max Activating Token Index: 378

Text #14

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Max Activating Token Index: 407

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 614

Text #18

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Max Activating Token Index: 442

Text #19

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Data Index: 1199662 (C4 (Web Text))

Max Activating Token Index: 217