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

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

Neuron 2769 in Layer 2

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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Max Act: 0.1999. Min Act: -0.0002

Data Index: 260982 (C4 (Web Text))

Max Activating Token Index: 887

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Text #1

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Data Index: 807711 (C4 (Web Text))

Max Activating Token Index: 64

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Text #2

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Data Index: 316984 (C4 (Web Text))

Max Activating Token Index: 356

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Text #3

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Data Index: 984499 (C4 (Web Text))

Max Activating Token Index: 1002

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Text #4

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Data Index: 1080550 (C4 (Web Text))

Max Activating Token Index: 590

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Text #5

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Data Index: 1158365 (C4 (Web Text))

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Text #6

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Data Index: 319529 (C4 (Web Text))

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Text #7

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Data Index: 1643337 (Python Code)

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Text #8

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Data Index: 1018305 (C4 (Web Text))

Max Activating Token Index: 813

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Text #9

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Data Index: 1551852 (Python Code)

Max Activating Token Index: 187

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Text #10

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Text #11

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Data Index: 650283 (C4 (Web Text))

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Text #12

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Text #13

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Text #14

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Data Index: 796650 (C4 (Web Text))

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Text #15

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Data Index: 415578 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 915382 (C4 (Web Text))

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Text #18

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Data Index: 831864 (C4 (Web Text))

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Text #19

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Data Index: 781035 (C4 (Web Text))

Max Activating Token Index: 769

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