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

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

Neuron 3603 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: 0.0089. Min Act: -0.0003

Data Index: 485509 (C4 (Web Text))

Max Activating Token Index: 546

Text #1

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Data Index: 1070039 (C4 (Web Text))

Max Activating Token Index: 415

Text #2

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Max Act: 0.0084. Min Act: -0.0003

Data Index: 273639 (C4 (Web Text))

Max Activating Token Index: 210

Text #3

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 572333 (C4 (Web Text))

Max Activating Token Index: 560

Text #4

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 90971 (C4 (Web Text))

Max Activating Token Index: 217

Text #5

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 198280 (C4 (Web Text))

Max Activating Token Index: 696

Text #6

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Max Activating Token Index: 615

Text #7

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Max Activating Token Index: 850

Text #8

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Data Index: 43963 (C4 (Web Text))

Max Activating Token Index: 268

Text #9

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Data Index: 1084041 (C4 (Web Text))

Max Activating Token Index: 586

Text #10

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Max Activating Token Index: 909

Text #11

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Data Index: 332965 (C4 (Web Text))

Max Activating Token Index: 279

Text #12

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Data Index: 283115 (C4 (Web Text))

Max Activating Token Index: 969

Text #13

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Max Activating Token Index: 375

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 128

Text #18

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Data Index: 12535 (C4 (Web Text))

Max Activating Token Index: 292

Text #19

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Data Index: 787713 (C4 (Web Text))

Max Activating Token Index: 432