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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1044 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0071. Min Act: -0.0003

Data Index: 686908 (C4 (Web Text))

Max Activating Token Index: 973

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Text #1

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Max Act: 0.0070. Min Act: -0.0003

Data Index: 936021 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #2

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Max Act: 0.0068. Min Act: -0.0003

Data Index: 1415928 (Python Code)

Max Activating Token Index: 940

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Text #3

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Max Act: 0.0063. Min Act: -0.0003

Data Index: 1387041 (Python Code)

Max Activating Token Index: 336

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Truncated

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Text #4

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Max Act: 0.0070. Min Act: -0.0003

Data Index: 1180619 (C4 (Web Text))

Max Activating Token Index: 842

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Truncated

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Text #5

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Max Act: 0.0065. Min Act: -0.0003

Data Index: 788223 (C4 (Web Text))

Max Activating Token Index: 25

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Text #6

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Data Index: 1192805 (C4 (Web Text))

Max Activating Token Index: 206

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Text #7

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Data Index: 507450 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1072207 (C4 (Web Text))

Max Activating Token Index: 214

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Text #9

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Data Index: 579992 (C4 (Web Text))

Max Activating Token Index: 102

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Text #10

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Data Index: 510482 (C4 (Web Text))

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Text #11

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Data Index: 723960 (C4 (Web Text))

Max Activating Token Index: 825

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Text #12

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Data Index: 13741 (C4 (Web Text))

Max Activating Token Index: 196

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Text #13

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Data Index: 1069261 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 1008296 (C4 (Web Text))

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Text #15

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Data Index: 447400 (C4 (Web Text))

Max Activating Token Index: 627

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Text #16

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Data Index: 1280326 (C4 (Web Text))

Max Activating Token Index: 559

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Truncated

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Text #17

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 672760 (C4 (Web Text))

Max Activating Token Index: 891

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Text #18

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Data Index: 1035064 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #19

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Max Act: 0.0058. Min Act: -0.0003

Data Index: 1097643 (C4 (Web Text))

Max Activating Token Index: 41

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