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

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

Neuron 851 in Layer 9

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: 2.5974. Min Act: -0.0000

Data Index: 1292729 (C4 (Web Text))

Max Activating Token Index: 828

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Text #1

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Data Index: 1185911 (C4 (Web Text))

Max Activating Token Index: 449

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Text #2

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Data Index: 1068735 (C4 (Web Text))

Max Activating Token Index: 536

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Text #3

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Data Index: 368146 (C4 (Web Text))

Max Activating Token Index: 138

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Text #4

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Max Act: 2.1019. Min Act: -0.0000

Data Index: 656477 (C4 (Web Text))

Max Activating Token Index: 969

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Text #5

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Data Index: 544600 (C4 (Web Text))

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Text #6

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Data Index: 1426900 (Python Code)

Max Activating Token Index: 742

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Text #7

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Text #8

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Data Index: 216086 (C4 (Web Text))

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Text #9

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Data Index: 356975 (C4 (Web Text))

Max Activating Token Index: 843

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Text #10

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Data Index: 1053291 (C4 (Web Text))

Max Activating Token Index: 997

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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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Text #15

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Text #16

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Text #17

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Data Index: 521792 (C4 (Web Text))

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Text #18

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Data Index: 1435457 (Python Code)

Max Activating Token Index: 741

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Text #19

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Data Index: 998050 (C4 (Web Text))

Max Activating Token Index: 286

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