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

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

Neuron 4884 in Layer 1

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: 0.0392. Min Act: -0.0003

Data Index: 216433 (C4 (Web Text))

Max Activating Token Index: 118

Text #1

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Max Act: 0.0331. Min Act: -0.0003

Data Index: 368248 (C4 (Web Text))

Max Activating Token Index: 695

Text #2

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Max Act: 0.0297. Min Act: -0.0003

Data Index: 171878 (C4 (Web Text))

Max Activating Token Index: 813

Text #3

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Max Act: 0.0307. Min Act: -0.0003

Data Index: 204095 (C4 (Web Text))

Max Activating Token Index: 811

Text #4

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 187985 (C4 (Web Text))

Max Activating Token Index: 465

Text #5

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1187612 (C4 (Web Text))

Max Activating Token Index: 69

Text #6

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Data Index: 1177485 (C4 (Web Text))

Max Activating Token Index: 300

Text #7

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Max Activating Token Index: 295

Text #8

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Max Activating Token Index: 838

Text #9

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Max Activating Token Index: 670

Text #10

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Max Activating Token Index: 687

Text #11

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Data Index: 409271 (C4 (Web Text))

Max Activating Token Index: 138

Text #12

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Data Index: 549002 (C4 (Web Text))

Max Activating Token Index: 453

Text #13

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Data Index: 387842 (C4 (Web Text))

Max Activating Token Index: 680

Text #14

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Data Index: 827050 (C4 (Web Text))

Max Activating Token Index: 614

Text #15

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Max Activating Token Index: 825

Text #16

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Max Activating Token Index: 855

Text #17

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Max Activating Token Index: 346

Text #18

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Data Index: 549927 (C4 (Web Text))

Max Activating Token Index: 221

Text #19

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Data Index: 1131338 (C4 (Web Text))

Max Activating Token Index: 597