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

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

Neuron 3764 in Layer 3

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: 523170 (C4 (Web Text))

Max Activating Token Index: 479

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Text #1

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Data Index: 942136 (C4 (Web Text))

Max Activating Token Index: 625

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Text #2

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Data Index: 1061778 (C4 (Web Text))

Max Activating Token Index: 551

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Text #3

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Data Index: 1469952 (Python Code)

Max Activating Token Index: 148

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Text #4

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Data Index: 1423989 (Python Code)

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Text #5

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Data Index: 1135509 (C4 (Web Text))

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Text #6

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Data Index: 397572 (C4 (Web Text))

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Text #7

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Data Index: 595371 (C4 (Web Text))

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Text #8

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Data Index: 1600635 (Python Code)

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Text #9

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Data Index: 326429 (C4 (Web Text))

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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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Data Index: 462134 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1074154 (C4 (Web Text))

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Text #18

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Data Index: 480390 (C4 (Web Text))

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Text #19

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Data Index: 82250 (C4 (Web Text))

Max Activating Token Index: 337

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