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

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

Neuron 3 in Layer 5

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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Max Act: 3.9475. Min Act: -0.0000

Data Index: 506364 (C4 (Web Text))

Max Activating Token Index: 875

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Text #1

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Data Index: 764329 (C4 (Web Text))

Max Activating Token Index: 38

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Text #2

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Data Index: 1251758 (C4 (Web Text))

Max Activating Token Index: 181

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Text #3

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Data Index: 1034531 (C4 (Web Text))

Max Activating Token Index: 217

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Text #4

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Data Index: 41630 (C4 (Web Text))

Max Activating Token Index: 234

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Text #5

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Data Index: 611507 (C4 (Web Text))

Max Activating Token Index: 588

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Text #6

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Data Index: 345297 (C4 (Web Text))

Max Activating Token Index: 234

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Text #7

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Max Activating Token Index: 787

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Text #8

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Data Index: 953426 (C4 (Web Text))

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Text #9

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Data Index: 1346908 (C4 (Web Text))

Max Activating Token Index: 252

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Text #10

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Data Index: 1275276 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 214941 (C4 (Web Text))

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Text #13

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Data Index: 1330766 (C4 (Web Text))

Max Activating Token Index: 982

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Text #14

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Text #15

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Data Index: 830541 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1291578 (C4 (Web Text))

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Text #18

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Data Index: 69590 (C4 (Web Text))

Max Activating Token Index: 169

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Text #19

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Data Index: 255862 (C4 (Web Text))

Max Activating Token Index: 877

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