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

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

Neuron 2848 in Layer 2

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: 0.0628. Min Act: -0.0002

Data Index: 1314594 (C4 (Web Text))

Max Activating Token Index: 29

Text #1

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Max Act: 0.0670. Min Act: -0.0002

Data Index: 1087324 (C4 (Web Text))

Max Activating Token Index: 36

Text #2

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Max Act: 0.0627. Min Act: -0.0002

Data Index: 614667 (C4 (Web Text))

Max Activating Token Index: 28

Text #3

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Max Act: 0.0591. Min Act: -0.0002

Data Index: 358455 (C4 (Web Text))

Max Activating Token Index: 47

Text #4

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Max Act: 0.0525. Min Act: -0.0002

Data Index: 130635 (C4 (Web Text))

Max Activating Token Index: 409

Text #5

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Data Index: 169280 (C4 (Web Text))

Max Activating Token Index: 785

Text #6

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Max Activating Token Index: 902

Text #7

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Max Activating Token Index: 68

Text #8

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Data Index: 186381 (C4 (Web Text))

Max Activating Token Index: 724

Text #9

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Max Activating Token Index: 816

Text #10

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Data Index: 931226 (C4 (Web Text))

Max Activating Token Index: 462

Text #11

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Max Activating Token Index: 941

Text #12

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Data Index: 74880 (C4 (Web Text))

Max Activating Token Index: 495

Text #13

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Data Index: 685301 (C4 (Web Text))

Max Activating Token Index: 794

Text #14

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Max Activating Token Index: 243

Text #15

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Text #16

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Max Activating Token Index: 215

Text #17

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Data Index: 560952 (C4 (Web Text))

Max Activating Token Index: 140

Text #18

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Data Index: 415815 (C4 (Web Text))

Max Activating Token Index: 186

Text #19

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Data Index: 343380 (C4 (Web Text))

Max Activating Token Index: 185