Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2002 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0951. Min Act: -0.0002

Data Index: 627868 (C4 (Web Text))

Max Activating Token Index: 153

Text #1

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Max Act: 0.0812. Min Act: -0.0002

Data Index: 676098 (C4 (Web Text))

Max Activating Token Index: 238

Text #2

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Max Act: 0.0763. Min Act: -0.0002

Data Index: 276163 (C4 (Web Text))

Max Activating Token Index: 136

Text #3

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 1279108 (C4 (Web Text))

Max Activating Token Index: 501

Text #4

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Max Act: 0.0726. Min Act: -0.0002

Data Index: 990190 (C4 (Web Text))

Max Activating Token Index: 736

Text #5

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Data Index: 797670 (C4 (Web Text))

Max Activating Token Index: 890

Text #6

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Data Index: 264384 (C4 (Web Text))

Max Activating Token Index: 333

Text #7

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Data Index: 540771 (C4 (Web Text))

Max Activating Token Index: 284

Text #8

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Data Index: 1036000 (C4 (Web Text))

Max Activating Token Index: 175

Text #9

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Max Activating Token Index: 130

Text #10

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Max Activating Token Index: 896

Text #11

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Data Index: 13969 (C4 (Web Text))

Max Activating Token Index: 250

Text #12

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Max Activating Token Index: 442

Text #13

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Data Index: 933731 (C4 (Web Text))

Max Activating Token Index: 535

Text #14

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Data Index: 708976 (C4 (Web Text))

Max Activating Token Index: 228

Text #15

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Max Activating Token Index: 29

Text #16

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Max Activating Token Index: 853

Text #17

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Data Index: 94230 (C4 (Web Text))

Max Activating Token Index: 359

Text #18

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Data Index: 930110 (C4 (Web Text))

Max Activating Token Index: 331

Text #19

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Data Index: 985625 (C4 (Web Text))

Max Activating Token Index: 383