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

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

Neuron 1939 in Layer 9

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.7995. Min Act: -0.0000

Data Index: 833941 (C4 (Web Text))

Max Activating Token Index: 934

Text #1

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Max Act: 0.6957. Min Act: -0.0000

Data Index: 1045913 (C4 (Web Text))

Max Activating Token Index: 920

Text #2

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Max Act: 0.7194. Min Act: -0.0000

Data Index: 351734 (C4 (Web Text))

Max Activating Token Index: 346

Text #3

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Max Act: 0.6148. Min Act: -0.0000

Data Index: 1088407 (C4 (Web Text))

Max Activating Token Index: 789

Text #4

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Data Index: 1156331 (C4 (Web Text))

Max Activating Token Index: 959

Text #5

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Data Index: 385878 (C4 (Web Text))

Max Activating Token Index: 916

Text #6

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Data Index: 828466 (C4 (Web Text))

Max Activating Token Index: 1011

Text #7

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Data Index: 165862 (C4 (Web Text))

Max Activating Token Index: 94

Text #8

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Data Index: 297519 (C4 (Web Text))

Max Activating Token Index: 811

Text #9

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Data Index: 1410462 (Python Code)

Max Activating Token Index: 848

Text #10

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Data Index: 1377317 (Python Code)

Max Activating Token Index: 849

Text #11

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Data Index: 392893 (C4 (Web Text))

Max Activating Token Index: 900

Text #12

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Data Index: 1524221 (Python Code)

Max Activating Token Index: 701

Text #13

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Data Index: 1550971 (Python Code)

Max Activating Token Index: 303

Text #14

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Data Index: 1458879 (Python Code)

Max Activating Token Index: 937

Text #15

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Data Index: 1451947 (Python Code)

Max Activating Token Index: 463

Text #16

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Data Index: 1560603 (Python Code)

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Text #17

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Data Index: 1526097 (Python Code)

Max Activating Token Index: 703

Text #18

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Data Index: 739093 (C4 (Web Text))

Max Activating Token Index: 855

Text #19

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Max Act: 0.5177. Min Act: -0.0000

Data Index: 1378032 (Python Code)

Max Activating Token Index: 44