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

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

Neuron 5295 in Layer 4

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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Max Act: 3.6874. Min Act: -0.0001

Data Index: 1557712 (Python Code)

Max Activating Token Index: 405

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Text #1

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Data Index: 1074849 (C4 (Web Text))

Max Activating Token Index: 977

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Text #2

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Max Act: 3.2186. Min Act: -0.0001

Data Index: 997319 (C4 (Web Text))

Max Activating Token Index: 193

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Text #3

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Data Index: 1587186 (Python Code)

Max Activating Token Index: 964

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Text #4

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Max Act: 3.2685. Min Act: -0.0001

Data Index: 549882 (C4 (Web Text))

Max Activating Token Index: 529

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Text #5

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Data Index: 1134950 (C4 (Web Text))

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Text #6

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Data Index: 762868 (C4 (Web Text))

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Text #7

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Data Index: 489555 (C4 (Web Text))

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Text #8

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Data Index: 1231878 (C4 (Web Text))

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Text #9

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Data Index: 926947 (C4 (Web Text))

Max Activating Token Index: 412

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Text #10

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Text #11

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Text #12

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Data Index: 1083942 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 220504 (C4 (Web Text))

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Text #15

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Data Index: 356457 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 366698 (C4 (Web Text))

Max Activating Token Index: 430

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Text #18

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Data Index: 1234501 (C4 (Web Text))

Max Activating Token Index: 884

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Text #19

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Data Index: 848809 (C4 (Web Text))

Max Activating Token Index: 307

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