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

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

Neuron 2026 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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Data Index: 832406 (C4 (Web Text))

Max Activating Token Index: 80

Text #1

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Max Activating Token Index: 284

Text #2

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Max Activating Token Index: 357

Text #3

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Data Index: 1042175 (C4 (Web Text))

Max Activating Token Index: 663

Text #4

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Max Activating Token Index: 889

Text #5

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Max Activating Token Index: 869

Text #6

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Max Activating Token Index: 317

Text #7

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Max Activating Token Index: 327

Text #8

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Max Activating Token Index: 620

Text #9

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Max Activating Token Index: 484

Text #10

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Max Activating Token Index: 686

Text #11

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Max Activating Token Index: 53

Text #12

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Max Activating Token Index: 741

Text #13

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Max Activating Token Index: 96

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 102

Text #17

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Text #18

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Text #19

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Data Index: 489239 (C4 (Web Text))

Max Activating Token Index: 376