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

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

Neuron 5119 in Layer 8

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: 1.7972. Min Act: -0.0000

Data Index: 1324309 (C4 (Web Text))

Max Activating Token Index: 125

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Text #1

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Data Index: 1283752 (C4 (Web Text))

Max Activating Token Index: 671

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Text #2

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Data Index: 995894 (C4 (Web Text))

Max Activating Token Index: 608

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Text #3

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Max Act: 1.6835. Min Act: -0.0000

Data Index: 52696 (C4 (Web Text))

Max Activating Token Index: 75

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Text #4

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Data Index: 1296369 (C4 (Web Text))

Max Activating Token Index: 651

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Text #5

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Data Index: 827615 (C4 (Web Text))

Max Activating Token Index: 946

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Text #6

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Data Index: 845848 (C4 (Web Text))

Max Activating Token Index: 593

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Text #7

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Data Index: 56585 (C4 (Web Text))

Max Activating Token Index: 874

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Text #8

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Data Index: 1006552 (C4 (Web Text))

Max Activating Token Index: 218

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Text #9

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Data Index: 790180 (C4 (Web Text))

Max Activating Token Index: 130

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Text #10

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Data Index: 111607 (C4 (Web Text))

Max Activating Token Index: 490

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Text #11

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Text #12

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Data Index: 1244566 (C4 (Web Text))

Max Activating Token Index: 171

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Text #13

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Max Activating Token Index: 636

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Text #14

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Text #15

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Data Index: 929012 (C4 (Web Text))

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Text #16

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Data Index: 1275945 (C4 (Web Text))

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Text #17

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Data Index: 35641 (C4 (Web Text))

Max Activating Token Index: 675

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Text #18

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Data Index: 793863 (C4 (Web Text))

Max Activating Token Index: 365

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Text #19

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Data Index: 1129701 (C4 (Web Text))

Max Activating Token Index: 663

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