Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1953 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 948278 (C4 (Web Text))

Max Activating Token Index: 326

Text #1

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Max Activating Token Index: 571

Text #2

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Max Act: 0.0286. Min Act: -0.0003

Data Index: 757738 (C4 (Web Text))

Max Activating Token Index: 828

Text #3

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 413894 (C4 (Web Text))

Max Activating Token Index: 788

Text #4

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Data Index: 524665 (C4 (Web Text))

Max Activating Token Index: 742

Text #5

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Max Activating Token Index: 574

Text #6

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Max Activating Token Index: 367

Text #7

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Max Activating Token Index: 190

Text #8

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Max Activating Token Index: 586

Text #9

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Max Activating Token Index: 388

Text #10

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Max Activating Token Index: 230

Text #11

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Data Index: 2617 (C4 (Web Text))

Max Activating Token Index: 927

Text #12

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Max Activating Token Index: 633

Text #13

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Max Activating Token Index: 419

Text #14

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Max Activating Token Index: 758

Text #15

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Max Activating Token Index: 303

Text #16

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Max Activating Token Index: 761

Text #17

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Max Activating Token Index: 273

Text #18

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Max Activating Token Index: 822

Text #19

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Data Index: 510407 (C4 (Web Text))

Max Activating Token Index: 333