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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 62 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0745. Min Act: -0.0002

Data Index: 802414 (C4 (Web Text))

Max Activating Token Index: 872

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Text #1

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Max Act: 0.0687. Min Act: -0.0002

Data Index: 303557 (C4 (Web Text))

Max Activating Token Index: 518

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Text #2

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Max Act: 0.0666. Min Act: -0.0002

Data Index: 342095 (C4 (Web Text))

Max Activating Token Index: 568

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Text #3

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Max Act: 0.0634. Min Act: -0.0002

Data Index: 1014300 (C4 (Web Text))

Max Activating Token Index: 685

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Truncated

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Text #4

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Max Act: 0.0645. Min Act: -0.0002

Data Index: 615053 (C4 (Web Text))

Max Activating Token Index: 203

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Text #5

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Max Act: 0.0628. Min Act: -0.0002

Data Index: 983895 (C4 (Web Text))

Max Activating Token Index: 804

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Text #6

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Data Index: 707260 (C4 (Web Text))

Max Activating Token Index: 337

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Truncated

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Text #7

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Data Index: 809644 (C4 (Web Text))

Max Activating Token Index: 829

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Truncated

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Text #8

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Data Index: 299181 (C4 (Web Text))

Max Activating Token Index: 509

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Text #9

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Data Index: 1140669 (C4 (Web Text))

Max Activating Token Index: 440

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Text #10

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Data Index: 23020 (C4 (Web Text))

Max Activating Token Index: 601

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Text #11

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Data Index: 785813 (C4 (Web Text))

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Text #12

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Data Index: 17701 (C4 (Web Text))

Max Activating Token Index: 666

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Text #13

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Data Index: 664378 (C4 (Web Text))

Max Activating Token Index: 950

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Text #14

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Data Index: 815531 (C4 (Web Text))

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Text #15

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Data Index: 408950 (C4 (Web Text))

Max Activating Token Index: 523

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Text #16

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Data Index: 113048 (C4 (Web Text))

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Text #17

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Data Index: 66722 (C4 (Web Text))

Max Activating Token Index: 289

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Text #18

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Max Act: 0.0591. Min Act: -0.0002

Data Index: 817328 (C4 (Web Text))

Max Activating Token Index: 845

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Text #19

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Data Index: 1242863 (C4 (Web Text))

Max Activating Token Index: 45

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