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

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

Neuron 5092 in Layer 5

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: 3.6481. Min Act: -0.0000

Data Index: 627819 (C4 (Web Text))

Max Activating Token Index: 650

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Text #1

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Data Index: 1300195 (C4 (Web Text))

Max Activating Token Index: 687

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Text #2

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Data Index: 1143092 (C4 (Web Text))

Max Activating Token Index: 71

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Text #3

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Max Act: 2.9429. Min Act: -0.0000

Data Index: 563670 (C4 (Web Text))

Max Activating Token Index: 973

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Text #4

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Max Act: 3.0785. Min Act: -0.0000

Data Index: 1131833 (C4 (Web Text))

Max Activating Token Index: 687

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Text #5

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Data Index: 92919 (C4 (Web Text))

Max Activating Token Index: 401

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Text #6

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Data Index: 885204 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 705

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Text #8

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Data Index: 135425 (C4 (Web Text))

Max Activating Token Index: 674

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Text #9

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Data Index: 1227856 (C4 (Web Text))

Max Activating Token Index: 489

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Text #10

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Data Index: 740259 (C4 (Web Text))

Max Activating Token Index: 931

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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: 1185991 (C4 (Web Text))

Max Activating Token Index: 741

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Text #16

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Max Activating Token Index: 682

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Text #17

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Max Activating Token Index: 992

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Text #18

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Max Act: 2.5713. Min Act: -0.0000

Data Index: 1073431 (C4 (Web Text))

Max Activating Token Index: 796

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Text #19

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Data Index: 605473 (C4 (Web Text))

Max Activating Token Index: 503

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