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

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

Neuron 2411 in Layer 3

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: 0.4622. Min Act: -0.0001

Data Index: 180700 (C4 (Web Text))

Max Activating Token Index: 387

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Text #1

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Max Act: 0.4116. Min Act: -0.0001

Data Index: 172238 (C4 (Web Text))

Max Activating Token Index: 531

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Truncated

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Text #2

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Max Act: 0.3334. Min Act: -0.0001

Data Index: 759738 (C4 (Web Text))

Max Activating Token Index: 739

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Text #3

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Max Act: 0.3360. Min Act: -0.0001

Data Index: 351712 (C4 (Web Text))

Max Activating Token Index: 664

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Truncated

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Text #4

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Max Act: 0.3146. Min Act: -0.0001

Data Index: 298840 (C4 (Web Text))

Max Activating Token Index: 980

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Truncated

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Text #5

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Data Index: 86993 (C4 (Web Text))

Max Activating Token Index: 364

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Text #6

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Data Index: 922039 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 417472 (C4 (Web Text))

Max Activating Token Index: 67

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Truncated

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Text #8

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Data Index: 840848 (C4 (Web Text))

Max Activating Token Index: 577

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Text #9

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Data Index: 1599698 (Python Code)

Max Activating Token Index: 828

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Text #10

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Data Index: 700374 (C4 (Web Text))

Max Activating Token Index: 72

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Text #11

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Data Index: 1603856 (Python Code)

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Text #12

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Data Index: 671052 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 641

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Truncated

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Text #14

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Data Index: 706721 (C4 (Web Text))

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Text #15

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Data Index: 755426 (C4 (Web Text))

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Text #16

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Truncated

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Text #17

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Data Index: 310942 (C4 (Web Text))

Max Activating Token Index: 981

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Text #18

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Data Index: 361644 (C4 (Web Text))

Max Activating Token Index: 372

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Truncated

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Text #19

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Data Index: 32702 (C4 (Web Text))

Max Activating Token Index: 512

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