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

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

Neuron 1660 in Layer 9

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

Text #0

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Max Act: 0.3860. Min Act: -0.0000

Data Index: 1275155 (C4 (Web Text))

Max Activating Token Index: 169

Text #1

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Data Index: 996254 (C4 (Web Text))

Max Activating Token Index: 720

Text #2

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Max Act: 0.2604. Min Act: 0.0000

Data Index: 124559 (C4 (Web Text))

Max Activating Token Index: 342

Text #3

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Max Act: 0.2275. Min Act: -0.0000

Data Index: 588929 (C4 (Web Text))

Max Activating Token Index: 84

Text #4

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Data Index: 654849 (C4 (Web Text))

Max Activating Token Index: 68

Text #5

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Data Index: 1023231 (C4 (Web Text))

Max Activating Token Index: 886

Text #6

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Data Index: 1074154 (C4 (Web Text))

Max Activating Token Index: 486

Text #7

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Text #8

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Data Index: 694196 (C4 (Web Text))

Max Activating Token Index: 546

Text #9

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Data Index: 308809 (C4 (Web Text))

Max Activating Token Index: 47

Text #10

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Data Index: 265729 (C4 (Web Text))

Max Activating Token Index: 404

Text #11

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Data Index: 251915 (C4 (Web Text))

Max Activating Token Index: 59

Text #12

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Data Index: 800705 (C4 (Web Text))

Max Activating Token Index: 583

Text #13

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Data Index: 402642 (C4 (Web Text))

Max Activating Token Index: 1015

Text #14

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Data Index: 649681 (C4 (Web Text))

Max Activating Token Index: 124

Text #15

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Text #16

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Max Activating Token Index: 245

Text #17

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Max Activating Token Index: 239

Text #18

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Data Index: 550802 (C4 (Web Text))

Max Activating Token Index: 233

Text #19

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Data Index: 821695 (C4 (Web Text))

Max Activating Token Index: 151