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

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

Neuron 1602 in Layer 3

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0306. Min Act: -0.0002

Data Index: 19920 (C4 (Web Text))

Max Activating Token Index: 791

Text #1

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Max Activating Token Index: 871

Text #2

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Max Act: 0.0295. Min Act: -0.0002

Data Index: 720400 (C4 (Web Text))

Max Activating Token Index: 566

Text #3

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Max Act: 0.0278. Min Act: -0.0002

Data Index: 1154154 (C4 (Web Text))

Max Activating Token Index: 14

Text #4

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Max Act: 0.0276. Min Act: -0.0002

Data Index: 19890 (C4 (Web Text))

Max Activating Token Index: 679

Text #5

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 1120742 (C4 (Web Text))

Max Activating Token Index: 371

Text #6

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Data Index: 551013 (C4 (Web Text))

Max Activating Token Index: 1015

Text #7

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Max Activating Token Index: 877

Text #8

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Max Activating Token Index: 587

Text #9

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Max Activating Token Index: 996

Text #10

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Data Index: 813692 (C4 (Web Text))

Max Activating Token Index: 338

Text #11

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Data Index: 527098 (C4 (Web Text))

Max Activating Token Index: 812

Text #12

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Max Activating Token Index: 6

Text #13

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Data Index: 1265657 (C4 (Web Text))

Max Activating Token Index: 750

Text #14

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Max Activating Token Index: 617

Text #15

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Max Activating Token Index: 670

Text #16

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Max Activating Token Index: 768

Text #17

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Max Activating Token Index: 353

Text #18

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Max Activating Token Index: 645

Text #19

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Data Index: 509079 (C4 (Web Text))

Max Activating Token Index: 289