Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1390 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0675. Min Act: -0.0005

Data Index: 942328 (C4 (Web Text))

Max Activating Token Index: 214

Text #1

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Max Act: 0.0618. Min Act: -0.0005

Data Index: 1012781 (C4 (Web Text))

Max Activating Token Index: 194

Text #2

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Max Act: 0.0619. Min Act: -0.0005

Data Index: 754782 (C4 (Web Text))

Max Activating Token Index: 221

Text #3

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Max Act: 0.0556. Min Act: -0.0005

Data Index: 855366 (C4 (Web Text))

Max Activating Token Index: 946

Text #4

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Max Act: 0.0610. Min Act: -0.0005

Data Index: 772135 (C4 (Web Text))

Max Activating Token Index: 188

Text #5

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Data Index: 500183 (C4 (Web Text))

Max Activating Token Index: 218

Text #6

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Data Index: 597767 (C4 (Web Text))

Max Activating Token Index: 747

Text #7

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Data Index: 927708 (C4 (Web Text))

Max Activating Token Index: 152

Text #8

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Data Index: 1285066 (C4 (Web Text))

Max Activating Token Index: 570

Text #9

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Data Index: 540481 (C4 (Web Text))

Max Activating Token Index: 643

Text #10

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Data Index: 15971 (C4 (Web Text))

Max Activating Token Index: 479

Text #11

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Data Index: 355903 (C4 (Web Text))

Max Activating Token Index: 460

Text #12

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Max Activating Token Index: 829

Text #13

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Data Index: 376629 (C4 (Web Text))

Max Activating Token Index: 81

Text #14

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Data Index: 524738 (C4 (Web Text))

Max Activating Token Index: 618

Text #15

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Max Activating Token Index: 391

Text #16

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Max Activating Token Index: 565

Text #17

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Max Activating Token Index: 844

Text #18

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Data Index: 1006851 (C4 (Web Text))

Max Activating Token Index: 461

Text #19

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Data Index: 374662 (C4 (Web Text))

Max Activating Token Index: 233