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

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

Neuron 3907 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: 0.0402. Min Act: -0.0003

Data Index: 1160872 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 1067418 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 1208342 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0245. Min Act: -0.0003

Data Index: 452245 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #4

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1293742 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #5

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Data Index: 146682 (C4 (Web Text))

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Text #6

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Data Index: 1507226 (Python Code)

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Text #7

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Data Index: 1127183 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #8

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Data Index: 722989 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #9

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Data Index: 158690 (C4 (Web Text))

Max Activating Token Index: 518

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Text #10

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Data Index: 110585 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 544815 (C4 (Web Text))

Max Activating Token Index: 1023

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Truncated

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Text #12

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Data Index: 202235 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #13

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Data Index: 1033764 (C4 (Web Text))

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Text #14

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Data Index: 595530 (C4 (Web Text))

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Text #15

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Data Index: 1070699 (C4 (Web Text))

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Text #16

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Data Index: 1461278 (Python Code)

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Text #17

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Data Index: 150952 (C4 (Web Text))

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Text #18

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Max Act: 0.0196. Min Act: -0.0003

Data Index: 427662 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

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Text #19

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Data Index: 1287799 (C4 (Web Text))

Max Activating Token Index: 19

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