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

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

Neuron 4510 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: 2.0554. Min Act: -0.0000

Data Index: 413817 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #1

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Max Act: 1.8296. Min Act: -0.0000

Data Index: 162836 (C4 (Web Text))

Max Activating Token Index: 77

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Text #2

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Max Act: 1.7438. Min Act: -0.0000

Data Index: 1020499 (C4 (Web Text))

Max Activating Token Index: 18

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Text #3

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Max Act: 1.6563. Min Act: -0.0000

Data Index: 1067486 (C4 (Web Text))

Max Activating Token Index: 939

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Text #4

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Max Act: 1.6436. Min Act: -0.0000

Data Index: 627775 (C4 (Web Text))

Max Activating Token Index: 771

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Text #5

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Max Act: 1.6344. Min Act: -0.0000

Data Index: 320493 (C4 (Web Text))

Max Activating Token Index: 367

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Text #6

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Data Index: 147069 (C4 (Web Text))

Max Activating Token Index: 896

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Text #7

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Data Index: 583451 (C4 (Web Text))

Max Activating Token Index: 1008

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Text #8

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Max Act: 1.5613. Min Act: -0.0000

Data Index: 27096 (C4 (Web Text))

Max Activating Token Index: 878

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Text #9

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Data Index: 516843 (C4 (Web Text))

Max Activating Token Index: 799

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Text #10

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Data Index: 1589450 (Python Code)

Max Activating Token Index: 68

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Text #11

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Data Index: 835696 (C4 (Web Text))

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Text #12

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Data Index: 607830 (C4 (Web Text))

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Text #13

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Data Index: 392577 (C4 (Web Text))

Max Activating Token Index: 71

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Text #14

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Data Index: 276315 (C4 (Web Text))

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Text #15

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Data Index: 27156 (C4 (Web Text))

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Text #16

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Data Index: 551446 (C4 (Web Text))

Max Activating Token Index: 717

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Text #17

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Data Index: 1460225 (Python Code)

Max Activating Token Index: 791

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Text #18

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Max Act: 1.5294. Min Act: -0.0000

Data Index: 1096703 (C4 (Web Text))

Max Activating Token Index: 835

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Text #19

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Data Index: 805033 (C4 (Web Text))

Max Activating Token Index: 318

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