Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 911 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 78625 (C4 (Web Text))

Max Activating Token Index: 466

Text #1

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 1336200 (C4 (Web Text))

Max Activating Token Index: 780

Text #2

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Max Act: 0.0301. Min Act: -0.0002

Data Index: 591420 (C4 (Web Text))

Max Activating Token Index: 840

Text #3

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 124031 (C4 (Web Text))

Max Activating Token Index: 1015

Text #4

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 313703 (C4 (Web Text))

Max Activating Token Index: 562

Text #5

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Max Act: 0.0307. Min Act: -0.0002

Data Index: 366535 (C4 (Web Text))

Max Activating Token Index: 425

Text #6

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Max Act: 0.0310. Min Act: -0.0002

Data Index: 643039 (C4 (Web Text))

Max Activating Token Index: 400

Text #7

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Max Act: 0.0294. Min Act: -0.0002

Data Index: 408961 (C4 (Web Text))

Max Activating Token Index: 322

Text #8

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Data Index: 70162 (C4 (Web Text))

Max Activating Token Index: 757

Text #9

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Data Index: 432291 (C4 (Web Text))

Max Activating Token Index: 676

Text #10

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Data Index: 1047053 (C4 (Web Text))

Max Activating Token Index: 648

Text #11

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Data Index: 127452 (C4 (Web Text))

Max Activating Token Index: 382

Text #12

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Data Index: 480894 (C4 (Web Text))

Max Activating Token Index: 478

Text #13

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Data Index: 925775 (C4 (Web Text))

Max Activating Token Index: 71

Text #14

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Max Activating Token Index: 909

Text #15

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Max Activating Token Index: 802

Text #16

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Max Activating Token Index: 166

Text #17

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Max Activating Token Index: 844

Text #18

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Data Index: 856754 (C4 (Web Text))

Max Activating Token Index: 51

Text #19

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Max Act: 0.0263. Min Act: -0.0002

Data Index: 998503 (C4 (Web Text))

Max Activating Token Index: 461