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

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

Neuron 1630 in Layer 2

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: 0.0381. Min Act: -0.0002

Data Index: 1167922 (C4 (Web Text))

Max Activating Token Index: 208

Text #1

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Max Act: 0.0372. Min Act: -0.0002

Data Index: 1247181 (C4 (Web Text))

Max Activating Token Index: 677

Text #2

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1108164 (C4 (Web Text))

Max Activating Token Index: 621

Text #3

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 927500 (C4 (Web Text))

Max Activating Token Index: 42

Text #4

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 1314429 (C4 (Web Text))

Max Activating Token Index: 110

Text #5

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Data Index: 1291787 (C4 (Web Text))

Max Activating Token Index: 968

Text #6

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Data Index: 719390 (C4 (Web Text))

Max Activating Token Index: 598

Text #7

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Max Activating Token Index: 30

Text #8

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Data Index: 1275081 (C4 (Web Text))

Max Activating Token Index: 834

Text #9

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Max Activating Token Index: 852

Text #10

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Data Index: 777387 (C4 (Web Text))

Max Activating Token Index: 316

Text #11

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Data Index: 748924 (C4 (Web Text))

Max Activating Token Index: 207

Text #12

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Data Index: 946430 (C4 (Web Text))

Max Activating Token Index: 664

Text #13

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Data Index: 1080298 (C4 (Web Text))

Max Activating Token Index: 449

Text #14

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Data Index: 1205069 (C4 (Web Text))

Max Activating Token Index: 437

Text #15

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Max Activating Token Index: 674

Text #16

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Max Activating Token Index: 333

Text #17

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Data Index: 382480 (C4 (Web Text))

Max Activating Token Index: 485

Text #18

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Data Index: 737024 (C4 (Web Text))

Max Activating Token Index: 367

Text #19

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 19640 (C4 (Web Text))

Max Activating Token Index: 245