Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1922 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0420. Min Act: -0.0004

Data Index: 1292360 (C4 (Web Text))

Max Activating Token Index: 908

Text #1

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Max Activating Token Index: 672

Text #2

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Max Activating Token Index: 906

Text #3

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Max Act: 0.0397. Min Act: -0.0004

Data Index: 842383 (C4 (Web Text))

Max Activating Token Index: 896

Text #4

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Data Index: 678177 (C4 (Web Text))

Max Activating Token Index: 37

Text #5

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Max Activating Token Index: 75

Text #6

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Max Activating Token Index: 781

Text #7

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Max Activating Token Index: 68

Text #8

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Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 607

Text #10

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Max Activating Token Index: 705

Text #11

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Max Activating Token Index: 70

Text #12

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Max Activating Token Index: 172

Text #13

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Max Activating Token Index: 31

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 383

Text #18

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Max Activating Token Index: 273

Text #19

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Data Index: 956443 (C4 (Web Text))

Max Activating Token Index: 104