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

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

Neuron 1929 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: 0.0754. Min Act: -0.0002

Data Index: 1029590 (C4 (Web Text))

Max Activating Token Index: 66

Text #1

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Data Index: 842394 (C4 (Web Text))

Max Activating Token Index: 184

Text #2

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Max Act: 0.0641. Min Act: -0.0002

Data Index: 264666 (C4 (Web Text))

Max Activating Token Index: 422

Text #3

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Max Act: 0.0621. Min Act: -0.0002

Data Index: 620255 (C4 (Web Text))

Max Activating Token Index: 676

Text #4

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Data Index: 399444 (C4 (Web Text))

Max Activating Token Index: 546

Text #5

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Max Activating Token Index: 730

Text #6

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Max Activating Token Index: 866

Text #7

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Max Activating Token Index: 231

Text #8

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Max Activating Token Index: 315

Text #9

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Max Activating Token Index: 152

Text #10

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Max Activating Token Index: 90

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Data Index: 609888 (C4 (Web Text))

Max Activating Token Index: 523

Text #12

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Max Activating Token Index: 270

Text #13

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Max Activating Token Index: 568

Text #14

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Max Activating Token Index: 151

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 570

Text #18

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Max Activating Token Index: 237

Text #19

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Data Index: 567481 (C4 (Web Text))

Max Activating Token Index: 325