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

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

Neuron 3620 in Layer 3

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: 1406346 (Python Code)

Max Activating Token Index: 140

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Text #1

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Data Index: 1554224 (Python Code)

Max Activating Token Index: 391

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Text #2

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Max Act: 1.2261. Min Act: -0.0001

Data Index: 320238 (C4 (Web Text))

Max Activating Token Index: 507

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Text #3

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Data Index: 1085165 (C4 (Web Text))

Max Activating Token Index: 656

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Text #4

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Data Index: 486792 (C4 (Web Text))

Max Activating Token Index: 588

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Text #5

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Data Index: 358201 (C4 (Web Text))

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Text #6

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Text #7

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Data Index: 125280 (C4 (Web Text))

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Text #8

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Data Index: 952523 (C4 (Web Text))

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Text #9

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Data Index: 1223349 (C4 (Web Text))

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Text #10

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Data Index: 1248905 (C4 (Web Text))

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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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Data Index: 312586 (C4 (Web Text))

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Text #15

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Data Index: 678403 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 887346 (C4 (Web Text))

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Text #19

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Data Index: 1137771 (C4 (Web Text))

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