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

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

Neuron 3553 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

Max Range: 0.0913. Min Range: -0.0913

Max Act: 0.0913. Min Act: -0.0002

Data Index: 1132794 (C4 (Web Text))

Max Activating Token Index: 410

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Truncated

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Text #1

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Max Act: 0.0877. Min Act: -0.0002

Data Index: 214048 (C4 (Web Text))

Max Activating Token Index: 184

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Truncated

Full Text #1


Text #2

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Max Act: 0.0848. Min Act: -0.0002

Data Index: 583844 (C4 (Web Text))

Max Activating Token Index: 78

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Truncated

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Text #3

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Max Act: 0.0817. Min Act: -0.0003

Data Index: 424636 (C4 (Web Text))

Max Activating Token Index: 34

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Truncated

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Text #4

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Max Act: 0.0800. Min Act: -0.0003

Data Index: 1193701 (C4 (Web Text))

Max Activating Token Index: 462

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Truncated

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Text #5

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Max Act: 0.0813. Min Act: -0.0002

Data Index: 1074057 (C4 (Web Text))

Max Activating Token Index: 901

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Truncated

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Text #6

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Max Act: 0.0778. Min Act: -0.0003

Data Index: 517166 (C4 (Web Text))

Max Activating Token Index: 295

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Truncated

Full Text #6


Text #7

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Max Act: 0.0772. Min Act: -0.0003

Data Index: 1353018 (C4 (Web Text))

Max Activating Token Index: 867

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Truncated

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Text #8

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Max Act: 0.0770. Min Act: -0.0003

Data Index: 935699 (C4 (Web Text))

Max Activating Token Index: 37

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Truncated

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Text #9

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Max Act: 0.0744. Min Act: -0.0003

Data Index: 1132811 (C4 (Web Text))

Max Activating Token Index: 622

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Truncated

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Text #10

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Max Act: 0.0755. Min Act: -0.0002

Data Index: 146770 (C4 (Web Text))

Max Activating Token Index: 566

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Truncated

Full Text #10


Text #11

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Max Act: 0.0715. Min Act: -0.0002

Data Index: 1420045 (Python Code)

Max Activating Token Index: 196

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Truncated

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Text #12

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Max Act: 0.0722. Min Act: -0.0002

Data Index: 1021048 (C4 (Web Text))

Max Activating Token Index: 188

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Truncated

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Text #13

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Max Act: 0.0706. Min Act: -0.0002

Data Index: 733276 (C4 (Web Text))

Max Activating Token Index: 121

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Truncated

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Text #14

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Max Act: 0.0688. Min Act: -0.0002

Data Index: 196501 (C4 (Web Text))

Max Activating Token Index: 511

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Truncated

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Text #15

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Max Act: 0.0735. Min Act: -0.0003

Data Index: 409739 (C4 (Web Text))

Max Activating Token Index: 108

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Truncated

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Text #16

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Max Act: 0.0697. Min Act: -0.0003

Data Index: 606422 (C4 (Web Text))

Max Activating Token Index: 28

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Truncated

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Text #17

Max Range: 0.0913. Min Range: -0.0913

Max Act: 0.0723. Min Act: -0.0002

Data Index: 418045 (C4 (Web Text))

Max Activating Token Index: 843

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Truncated

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Text #18

Max Range: 0.0913. Min Range: -0.0913

Max Act: 0.0686. Min Act: -0.0002

Data Index: 1365895 (Python Code)

Max Activating Token Index: 597

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Truncated

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Text #19

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 122243 (C4 (Web Text))

Max Activating Token Index: 654

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Truncated

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