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

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

Neuron 884 in Layer 1

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: 0.0242. Min Act: -0.0002

Data Index: 457328 (C4 (Web Text))

Max Activating Token Index: 216

Text #1

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Data Index: 1265973 (C4 (Web Text))

Max Activating Token Index: 72

Text #2

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 970837 (C4 (Web Text))

Max Activating Token Index: 500

Text #3

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Max Act: 0.0219. Min Act: -0.0003

Data Index: 325520 (C4 (Web Text))

Max Activating Token Index: 623

Text #4

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Data Index: 700800 (C4 (Web Text))

Max Activating Token Index: 200

Text #5

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Max Act: 0.0219. Min Act: -0.0003

Data Index: 461996 (C4 (Web Text))

Max Activating Token Index: 587

Text #6

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Data Index: 632145 (C4 (Web Text))

Max Activating Token Index: 208

Text #7

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Max Activating Token Index: 844

Text #8

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Data Index: 137449 (C4 (Web Text))

Max Activating Token Index: 849

Text #9

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Data Index: 1308472 (C4 (Web Text))

Max Activating Token Index: 92

Text #10

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Max Activating Token Index: 886

Text #11

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Data Index: 78231 (C4 (Web Text))

Max Activating Token Index: 584

Text #12

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Data Index: 500814 (C4 (Web Text))

Max Activating Token Index: 818

Text #13

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Data Index: 381256 (C4 (Web Text))

Max Activating Token Index: 804

Text #14

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Max Activating Token Index: 692

Text #15

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Max Activating Token Index: 81

Text #16

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Max Activating Token Index: 77

Text #17

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Max Activating Token Index: 136

Text #18

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Max Activating Token Index: 843

Text #19

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Data Index: 275363 (C4 (Web Text))

Max Activating Token Index: 398