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

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

Neuron 2001 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: 553815 (C4 (Web Text))

Max Activating Token Index: 323

Text #1

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Data Index: 1590852 (Python Code)

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Text #2

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Data Index: 691968 (C4 (Web Text))

Max Activating Token Index: 620

Text #3

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Data Index: 1130579 (C4 (Web Text))

Max Activating Token Index: 731

Text #4

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Data Index: 1509174 (Python Code)

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Text #5

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Max Activating Token Index: 798

Text #6

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Text #7

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Max Activating Token Index: 867

Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 931

Text #12

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Max Activating Token Index: 636

Text #13

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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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Text #19

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Data Index: 569179 (C4 (Web Text))

Max Activating Token Index: 190