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

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

Neuron 5096 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: 976777 (C4 (Web Text))

Max Activating Token Index: 298

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Text #1

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Max Activating Token Index: 349

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Text #2

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Data Index: 847390 (C4 (Web Text))

Max Activating Token Index: 230

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Text #3

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Data Index: 845834 (C4 (Web Text))

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Text #4

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Data Index: 977064 (C4 (Web Text))

Max Activating Token Index: 755

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Text #5

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 951110 (C4 (Web Text))

Max Activating Token Index: 831

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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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Text #16

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Text #17

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Text #18

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Data Index: 588755 (C4 (Web Text))

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Text #19

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Max Activating Token Index: 780

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