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

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

Neuron 1700 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 404477 (C4 (Web Text))

Max Activating Token Index: 436

Text #1

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Data Index: 867530 (C4 (Web Text))

Max Activating Token Index: 835

Text #2

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 417692 (C4 (Web Text))

Max Activating Token Index: 931

Text #3

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Max Act: 0.0320. Min Act: -0.0002

Data Index: 489648 (C4 (Web Text))

Max Activating Token Index: 388

Text #4

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 640669 (C4 (Web Text))

Max Activating Token Index: 698

Text #5

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Data Index: 509210 (C4 (Web Text))

Max Activating Token Index: 828

Text #6

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Data Index: 1108702 (C4 (Web Text))

Max Activating Token Index: 610

Text #7

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Max Activating Token Index: 918

Text #8

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Max Activating Token Index: 715

Text #9

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Data Index: 296607 (C4 (Web Text))

Max Activating Token Index: 844

Text #10

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Data Index: 858459 (C4 (Web Text))

Max Activating Token Index: 525

Text #11

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Data Index: 898312 (C4 (Web Text))

Max Activating Token Index: 347

Text #12

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Data Index: 1134955 (C4 (Web Text))

Max Activating Token Index: 615

Text #13

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Data Index: 198666 (C4 (Web Text))

Max Activating Token Index: 773

Text #14

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Data Index: 481129 (C4 (Web Text))

Max Activating Token Index: 33

Text #15

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Max Activating Token Index: 636

Text #16

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Max Activating Token Index: 893

Text #17

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Max Activating Token Index: 589

Text #18

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Data Index: 354866 (C4 (Web Text))

Max Activating Token Index: 195

Text #19

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 798287 (C4 (Web Text))

Max Activating Token Index: 15