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

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

Neuron 1829 in Layer 2

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: 0.0789. Min Act: -0.0002

Data Index: 478141 (C4 (Web Text))

Max Activating Token Index: 298

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Text #1

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Data Index: 881424 (C4 (Web Text))

Max Activating Token Index: 30

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Text #2

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Max Act: 0.0750. Min Act: -0.0002

Data Index: 1455248 (Python Code)

Max Activating Token Index: 166

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Text #3

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Max Act: 0.0628. Min Act: -0.0002

Data Index: 840447 (C4 (Web Text))

Max Activating Token Index: 662

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Truncated

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Text #4

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Data Index: 31283 (C4 (Web Text))

Max Activating Token Index: 65

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Text #5

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Data Index: 1196065 (C4 (Web Text))

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Text #6

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Data Index: 214624 (C4 (Web Text))

Max Activating Token Index: 665

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Text #7

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Data Index: 586026 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #8

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Data Index: 1198996 (C4 (Web Text))

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Text #9

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Data Index: 560082 (C4 (Web Text))

Max Activating Token Index: 287

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Text #10

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Data Index: 969950 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1374912 (Python Code)

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Text #13

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Text #14

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Data Index: 376345 (C4 (Web Text))

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Text #15

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Data Index: 1108253 (C4 (Web Text))

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Text #16

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Data Index: 1183866 (C4 (Web Text))

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Text #17

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Data Index: 906547 (C4 (Web Text))

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Text #18

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Data Index: 817790 (C4 (Web Text))

Max Activating Token Index: 70

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Text #19

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Data Index: 749407 (C4 (Web Text))

Max Activating Token Index: 844

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