Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2028 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0615. Min Act: -0.0003

Data Index: 1258424 (C4 (Web Text))

Max Activating Token Index: 834

Text #1

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Data Index: 542352 (C4 (Web Text))

Max Activating Token Index: 589

Text #2

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Max Act: 0.0471. Min Act: -0.0003

Data Index: 523108 (C4 (Web Text))

Max Activating Token Index: 659

Text #3

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Max Act: 0.0458. Min Act: -0.0003

Data Index: 719636 (C4 (Web Text))

Max Activating Token Index: 857

Text #4

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Data Index: 502484 (C4 (Web Text))

Max Activating Token Index: 627

Text #5

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Max Activating Token Index: 592

Text #6

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Max Activating Token Index: 461

Text #7

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Data Index: 539498 (C4 (Web Text))

Max Activating Token Index: 179

Text #8

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Max Activating Token Index: 490

Text #9

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Data Index: 236879 (C4 (Web Text))

Max Activating Token Index: 191

Text #10

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Max Activating Token Index: 807

Text #11

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Max Activating Token Index: 878

Text #12

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Max Activating Token Index: 564

Text #13

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Data Index: 102106 (C4 (Web Text))

Max Activating Token Index: 37

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 900

Text #17

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Max Activating Token Index: 804

Text #18

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Data Index: 359524 (C4 (Web Text))

Max Activating Token Index: 831

Text #19

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Data Index: 1119734 (C4 (Web Text))

Max Activating Token Index: 852