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

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

Neuron 1282 in Layer 9

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



Text #0

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Max Act: 1.1256. Min Act: -0.0000

Data Index: 1461717 (Python Code)

Max Activating Token Index: 184

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Text #1

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Max Act: 0.9759. Min Act: -0.0000

Data Index: 1520311 (Python Code)

Max Activating Token Index: 603

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Text #2

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Max Act: 0.9757. Min Act: -0.0000

Data Index: 551810 (C4 (Web Text))

Max Activating Token Index: 593

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Text #3

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Max Act: 1.0781. Min Act: -0.0000

Data Index: 1296446 (C4 (Web Text))

Max Activating Token Index: 684

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Text #4

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Max Act: 0.8124. Min Act: -0.0000

Data Index: 38468 (C4 (Web Text))

Max Activating Token Index: 492

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Text #5

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Data Index: 168051 (C4 (Web Text))

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Text #6

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Data Index: 625948 (C4 (Web Text))

Max Activating Token Index: 850

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Text #7

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Data Index: 929482 (C4 (Web Text))

Max Activating Token Index: 713

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Text #8

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Max Act: 0.7087. Min Act: -0.0000

Data Index: 396242 (C4 (Web Text))

Max Activating Token Index: 605

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Text #9

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Data Index: 780512 (C4 (Web Text))

Max Activating Token Index: 982

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Text #10

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Data Index: 616617 (C4 (Web Text))

Max Activating Token Index: 583

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Text #11

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Data Index: 677147 (C4 (Web Text))

Max Activating Token Index: 931

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Text #12

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Data Index: 324790 (C4 (Web Text))

Max Activating Token Index: 492

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Text #13

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Data Index: 194788 (C4 (Web Text))

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Text #14

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Data Index: 620962 (C4 (Web Text))

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Text #15

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Data Index: 817988 (C4 (Web Text))

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Text #16

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Text #17

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Max Act: 0.5669. Min Act: -0.0000

Data Index: 1203553 (C4 (Web Text))

Max Activating Token Index: 973

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Text #18

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Data Index: 1590879 (Python Code)

Max Activating Token Index: 101

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Text #19

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Max Act: 0.5494. Min Act: -0.0000

Data Index: 658728 (C4 (Web Text))

Max Activating Token Index: 989

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