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

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

Neuron 1690 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: 0.0906. Min Act: -0.0002

Data Index: 1121686 (C4 (Web Text))

Max Activating Token Index: 927

Text #1

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Max Activating Token Index: 670

Text #2

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Data Index: 482992 (C4 (Web Text))

Max Activating Token Index: 561

Text #3

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Data Index: 438833 (C4 (Web Text))

Max Activating Token Index: 529

Text #4

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Data Index: 670918 (C4 (Web Text))

Max Activating Token Index: 379

Text #5

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Max Activating Token Index: 162

Text #6

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Max Activating Token Index: 718

Text #7

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Text #8

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Max Activating Token Index: 785

Text #9

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Max Activating Token Index: 985

Text #10

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Data Index: 65651 (C4 (Web Text))

Max Activating Token Index: 914

Text #11

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Max Activating Token Index: 945

Text #12

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Max Activating Token Index: 433

Text #13

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Data Index: 601903 (C4 (Web Text))

Max Activating Token Index: 502

Text #14

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Max Activating Token Index: 157

Text #15

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Max Activating Token Index: 1006

Text #16

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Max Activating Token Index: 469

Text #17

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Max Activating Token Index: 481

Text #18

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Max Activating Token Index: 547

Text #19

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Data Index: 323549 (C4 (Web Text))

Max Activating Token Index: 909