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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 47 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Data Index: 139000 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #1

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Max Activating Token Index: 22

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Text #2

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Data Index: 1056688 (C4 (Web Text))

Max Activating Token Index: 21

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Text #3

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Data Index: 717165 (C4 (Web Text))

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Text #4

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Data Index: 417508 (C4 (Web Text))

Max Activating Token Index: 293

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Text #5

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Data Index: 1346870 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 859

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Text #7

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Text #8

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Text #9

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Data Index: 650577 (C4 (Web Text))

Max Activating Token Index: 27

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Text #10

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Text #11

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Text #12

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Data Index: 1019145 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 556716 (C4 (Web Text))

Max Activating Token Index: 562

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Text #19

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Data Index: 409247 (C4 (Web Text))

Max Activating Token Index: 541

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