Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1964 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0812. Min Range: -0.0812

Max Act: 0.0812. Min Act: -0.0002

Data Index: 436907 (C4 (Web Text))

Max Activating Token Index: 148

Text #1

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Max Act: 0.0778. Min Act: -0.0002

Data Index: 798449 (C4 (Web Text))

Max Activating Token Index: 770

Text #2

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Max Act: 0.0728. Min Act: -0.0002

Data Index: 231870 (C4 (Web Text))

Max Activating Token Index: 1018

Text #3

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Max Act: 0.0658. Min Act: -0.0001

Data Index: 1111786 (C4 (Web Text))

Max Activating Token Index: 47

Text #4

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Max Act: 0.0668. Min Act: -0.0001

Data Index: 853621 (C4 (Web Text))

Max Activating Token Index: 779

Text #5

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Max Act: 0.0600. Min Act: -0.0001

Data Index: 470390 (C4 (Web Text))

Max Activating Token Index: 970

Text #6

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Data Index: 823281 (C4 (Web Text))

Max Activating Token Index: 774

Text #7

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Max Activating Token Index: 722

Text #8

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Data Index: 453136 (C4 (Web Text))

Max Activating Token Index: 272

Text #9

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Data Index: 101070 (C4 (Web Text))

Max Activating Token Index: 54

Text #10

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Data Index: 39833 (C4 (Web Text))

Max Activating Token Index: 43

Text #11

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Data Index: 104858 (C4 (Web Text))

Max Activating Token Index: 337

Text #12

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Data Index: 923853 (C4 (Web Text))

Max Activating Token Index: 88

Text #13

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Data Index: 43704 (C4 (Web Text))

Max Activating Token Index: 54

Text #14

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Data Index: 92127 (C4 (Web Text))

Max Activating Token Index: 895

Text #15

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Max Activating Token Index: 698

Text #16

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Max Activating Token Index: 744

Text #17

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Data Index: 900181 (C4 (Web Text))

Max Activating Token Index: 39

Text #18

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Data Index: 246369 (C4 (Web Text))

Max Activating Token Index: 950

Text #19

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Data Index: 304881 (C4 (Web Text))

Max Activating Token Index: 908