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

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

Neuron 4040 in Layer 2

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: 173031 (C4 (Web Text))

Max Activating Token Index: 450

Text #1

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Max Activating Token Index: 224

Text #2

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Max Activating Token Index: 858

Text #3

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Data Index: 598702 (C4 (Web Text))

Max Activating Token Index: 410

Text #4

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Data Index: 1002826 (C4 (Web Text))

Max Activating Token Index: 809

Text #5

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Data Index: 402004 (C4 (Web Text))

Max Activating Token Index: 713

Text #6

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Data Index: 47870 (C4 (Web Text))

Max Activating Token Index: 136

Text #7

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Max Activating Token Index: 838

Text #8

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Max Activating Token Index: 173

Text #9

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Max Activating Token Index: 451

Text #10

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Max Activating Token Index: 775

Text #11

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Max Activating Token Index: 472

Text #12

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Max Activating Token Index: 659

Text #13

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Max Activating Token Index: 615

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: 812

Text #18

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Max Activating Token Index: 89

Text #19

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Data Index: 805980 (C4 (Web Text))

Max Activating Token Index: 7