Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1925 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0368. Min Act: -0.0003

Data Index: 781482 (C4 (Web Text))

Max Activating Token Index: 46

Text #1

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Max Act: 0.0353. Min Act: -0.0003

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Max Activating Token Index: 36

Text #2

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 1058560 (C4 (Web Text))

Max Activating Token Index: 534

Text #3

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Max Act: 0.0349. Min Act: -0.0003

Data Index: 1164622 (C4 (Web Text))

Max Activating Token Index: 28

Text #4

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Max Act: 0.0349. Min Act: -0.0003

Data Index: 516352 (C4 (Web Text))

Max Activating Token Index: 917

Text #5

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 613378 (C4 (Web Text))

Max Activating Token Index: 532

Text #6

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Max Activating Token Index: 572

Text #7

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Data Index: 350589 (C4 (Web Text))

Max Activating Token Index: 446

Text #8

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Max Activating Token Index: 382

Text #9

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Max Activating Token Index: 582

Text #10

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Max Activating Token Index: 839

Text #11

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Max Activating Token Index: 726

Text #12

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Max Activating Token Index: 635

Text #13

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Data Index: 570819 (C4 (Web Text))

Max Activating Token Index: 470

Text #14

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Data Index: 159164 (C4 (Web Text))

Max Activating Token Index: 814

Text #15

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Max Activating Token Index: 816

Text #16

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Max Activating Token Index: 286

Text #17

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Max Activating Token Index: 696

Text #18

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Max Activating Token Index: 258

Text #19

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 158562 (C4 (Web Text))

Max Activating Token Index: 45