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

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

Neuron 4050 in Layer 6

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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Data Index: 75728 (C4 (Web Text))

Max Activating Token Index: 91

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Text #1

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Data Index: 1254969 (C4 (Web Text))

Max Activating Token Index: 308

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Text #2

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Data Index: 573138 (C4 (Web Text))

Max Activating Token Index: 358

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Text #3

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Data Index: 280717 (C4 (Web Text))

Max Activating Token Index: 441

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Text #4

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Data Index: 1121385 (C4 (Web Text))

Max Activating Token Index: 661

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Text #5

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Data Index: 743497 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 875

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Text #7

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Text #8

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Data Index: 605553 (C4 (Web Text))

Max Activating Token Index: 582

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Text #9

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Data Index: 557504 (C4 (Web Text))

Max Activating Token Index: 578

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Text #10

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Text #11

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Text #12

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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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Data Index: 45475 (C4 (Web Text))

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Text #18

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Data Index: 943020 (C4 (Web Text))

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Text #19

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Data Index: 1034899 (C4 (Web Text))

Max Activating Token Index: 866

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