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

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

Neuron 1153 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: 0.0749. Min Act: -0.0002

Data Index: 585379 (C4 (Web Text))

Max Activating Token Index: 495

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Text #1

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Max Act: 0.0674. Min Act: -0.0002

Data Index: 603733 (C4 (Web Text))

Max Activating Token Index: 173

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Text #2

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 1442945 (Python Code)

Max Activating Token Index: 585

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Text #3

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Max Act: 0.0768. Min Act: -0.0002

Data Index: 1317316 (C4 (Web Text))

Max Activating Token Index: 569

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Text #4

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Max Act: 0.0774. Min Act: -0.0002

Data Index: 1232829 (C4 (Web Text))

Max Activating Token Index: 800

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Truncated

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Text #5

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Data Index: 374047 (C4 (Web Text))

Max Activating Token Index: 743

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Text #6

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Data Index: 895894 (C4 (Web Text))

Max Activating Token Index: 3

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Text #7

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Data Index: 1018369 (C4 (Web Text))

Max Activating Token Index: 3

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Text #8

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Data Index: 101523 (C4 (Web Text))

Max Activating Token Index: 449

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Text #9

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Data Index: 476357 (C4 (Web Text))

Max Activating Token Index: 487

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Text #10

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Data Index: 603557 (C4 (Web Text))

Max Activating Token Index: 9

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Text #11

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Data Index: 437129 (C4 (Web Text))

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Text #12

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Data Index: 1500843 (Python Code)

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Text #13

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Data Index: 566474 (C4 (Web Text))

Max Activating Token Index: 859

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Text #14

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Data Index: 842325 (C4 (Web Text))

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Text #15

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Data Index: 877771 (C4 (Web Text))

Max Activating Token Index: 746

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Text #16

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Data Index: 1563952 (Python Code)

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Text #17

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Max Act: 0.0642. Min Act: -0.0002

Data Index: 690505 (C4 (Web Text))

Max Activating Token Index: 994

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Text #18

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Max Act: 0.0639. Min Act: -0.0002

Data Index: 312013 (C4 (Web Text))

Max Activating Token Index: 248

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Text #19

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Data Index: 400362 (C4 (Web Text))

Max Activating Token Index: 452

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