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

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

Neuron 3806 in Layer 3

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: 1323759 (C4 (Web Text))

Max Activating Token Index: 145

Text #1

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Max Activating Token Index: 863

Text #2

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Max Activating Token Index: 677

Text #3

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Data Index: 983891 (C4 (Web Text))

Max Activating Token Index: 401

Text #4

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Max Activating Token Index: 938

Text #5

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Max Activating Token Index: 312

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 242

Text #9

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Max Activating Token Index: 284

Text #10

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Max Activating Token Index: 277

Text #11

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Max Activating Token Index: 599

Text #12

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Max Activating Token Index: 162

Text #13

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Max Activating Token Index: 202

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 539

Text #19

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Data Index: 457256 (C4 (Web Text))

Max Activating Token Index: 914