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

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

Neuron 3606 in Layer 8

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: 315335 (C4 (Web Text))

Max Activating Token Index: 146

Text #1

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Max Activating Token Index: 720

Text #2

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Max Activating Token Index: 97

Text #3

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Data Index: 1134060 (C4 (Web Text))

Max Activating Token Index: 300

Text #4

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Max Activating Token Index: 898

Text #5

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Max Activating Token Index: 541

Text #6

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Data Index: 1464662 (Python Code)

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Text #7

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Data Index: 1515408 (Python Code)

Max Activating Token Index: 386

Text #8

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Max Activating Token Index: 329

Text #9

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Max Activating Token Index: 960

Text #10

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Max Activating Token Index: 37

Text #11

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Max Activating Token Index: 212

Text #12

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Max Activating Token Index: 580

Text #13

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Max Activating Token Index: 546

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 748

Text #18

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Data Index: 598370 (C4 (Web Text))

Max Activating Token Index: 365

Text #19

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Data Index: 1023748 (C4 (Web Text))

Max Activating Token Index: 451