Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 5384 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0665. Min Act: -0.0002

Data Index: 667343 (C4 (Web Text))

Max Activating Token Index: 203

Text #1

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Max Act: 0.0611. Min Act: -0.0002

Data Index: 431350 (C4 (Web Text))

Max Activating Token Index: 186

Text #2

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Max Act: 0.0497. Min Act: -0.0002

Data Index: 1336921 (C4 (Web Text))

Max Activating Token Index: 872

Text #3

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Max Act: 0.0474. Min Act: -0.0002

Data Index: 744040 (C4 (Web Text))

Max Activating Token Index: 374

Text #4

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Max Act: 0.0501. Min Act: -0.0002

Data Index: 597610 (C4 (Web Text))

Max Activating Token Index: 989

Text #5

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 234082 (C4 (Web Text))

Max Activating Token Index: 794

Text #6

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Data Index: 180136 (C4 (Web Text))

Max Activating Token Index: 680

Text #7

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Data Index: 357892 (C4 (Web Text))

Max Activating Token Index: 60

Text #8

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Max Activating Token Index: 566

Text #9

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Data Index: 647972 (C4 (Web Text))

Max Activating Token Index: 418

Text #10

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Data Index: 245586 (C4 (Web Text))

Max Activating Token Index: 56

Text #11

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Data Index: 327091 (C4 (Web Text))

Max Activating Token Index: 212

Text #12

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Max Activating Token Index: 932

Text #13

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Data Index: 682512 (C4 (Web Text))

Max Activating Token Index: 791

Text #14

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Data Index: 406880 (C4 (Web Text))

Max Activating Token Index: 177

Text #15

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Max Activating Token Index: 271

Text #16

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Max Activating Token Index: 157

Text #17

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Max Activating Token Index: 311

Text #18

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Max Activating Token Index: 558

Text #19

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Data Index: 369295 (C4 (Web Text))

Max Activating Token Index: 110