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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2168 in Layer 9

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 3.7906. Min Act: -0.0000

Data Index: 204732 (C4 (Web Text))

Max Activating Token Index: 674

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Text #1

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Data Index: 277051 (C4 (Web Text))

Max Activating Token Index: 750

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Text #2

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Max Act: 3.6836. Min Act: -0.0000

Data Index: 591539 (C4 (Web Text))

Max Activating Token Index: 695

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Text #3

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Data Index: 579826 (C4 (Web Text))

Max Activating Token Index: 121

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Text #4

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Max Act: 3.3782. Min Act: -0.0000

Data Index: 708876 (C4 (Web Text))

Max Activating Token Index: 428

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Text #5

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Max Act: 3.0374. Min Act: -0.0000

Data Index: 1233170 (C4 (Web Text))

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Text #6

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Data Index: 477566 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 629524 (C4 (Web Text))

Max Activating Token Index: 364

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Text #9

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Data Index: 229259 (C4 (Web Text))

Max Activating Token Index: 635

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Text #10

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Data Index: 1134621 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Data Index: 445132 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 462615 (C4 (Web Text))

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Text #18

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Data Index: 1614311 (Python Code)

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Text #19

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Data Index: 1008523 (C4 (Web Text))

Max Activating Token Index: 531

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