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

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

Neuron 426 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: 92976 (C4 (Web Text))

Max Activating Token Index: 70

Text #1

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Max Activating Token Index: 17

Text #2

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Max Activating Token Index: 751

Text #3

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Data Index: 949123 (C4 (Web Text))

Max Activating Token Index: 389

Text #4

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Max Activating Token Index: 572

Text #5

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Max Activating Token Index: 650

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 780

Text #9

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Max Activating Token Index: 93

Text #10

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Max Activating Token Index: 555

Text #11

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Max Activating Token Index: 762

Text #12

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Max Activating Token Index: 915

Text #13

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Max Activating Token Index: 492

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: 87

Text #18

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Max Activating Token Index: 228

Text #19

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Data Index: 834798 (C4 (Web Text))

Max Activating Token Index: 183