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

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

Neuron 2525 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0696. Min Act: -0.0002

Data Index: 1170630 (C4 (Web Text))

Max Activating Token Index: 109

Text #1

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Max Act: 0.0653. Min Act: -0.0002

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Max Activating Token Index: 260

Text #2

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Max Act: 0.0659. Min Act: -0.0002

Data Index: 900049 (C4 (Web Text))

Max Activating Token Index: 307

Text #3

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Max Act: 0.0637. Min Act: -0.0002

Data Index: 562090 (C4 (Web Text))

Max Activating Token Index: 45

Text #4

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Max Act: 0.0619. Min Act: -0.0002

Data Index: 1174998 (C4 (Web Text))

Max Activating Token Index: 392

Text #5

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Max Act: 0.0623. Min Act: -0.0002

Data Index: 625476 (C4 (Web Text))

Max Activating Token Index: 796

Text #6

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Max Activating Token Index: 373

Text #7

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Max Activating Token Index: 838

Text #8

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Data Index: 2402 (C4 (Web Text))

Max Activating Token Index: 228

Text #9

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Data Index: 289400 (C4 (Web Text))

Max Activating Token Index: 607

Text #10

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Max Activating Token Index: 925

Text #11

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Max Activating Token Index: 1009

Text #12

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Max Activating Token Index: 912

Text #13

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Data Index: 951617 (C4 (Web Text))

Max Activating Token Index: 406

Text #14

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Data Index: 1254303 (C4 (Web Text))

Max Activating Token Index: 232

Text #15

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Text #16

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Max Activating Token Index: 238

Text #17

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Max Activating Token Index: 751

Text #18

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Max Activating Token Index: 334

Text #19

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Data Index: 641052 (C4 (Web Text))

Max Activating Token Index: 588