Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1337 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 693748 (C4 (Web Text))

Max Activating Token Index: 312

Text #1

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Max Act: 0.0685. Min Act: -0.0004

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Max Activating Token Index: 873

Text #2

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Max Activating Token Index: 846

Text #3

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Max Act: 0.0636. Min Act: -0.0003

Data Index: 180788 (C4 (Web Text))

Max Activating Token Index: 554

Text #4

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Data Index: 1269863 (C4 (Web Text))

Max Activating Token Index: 104

Text #5

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Data Index: 1351071 (C4 (Web Text))

Max Activating Token Index: 422

Text #6

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Data Index: 214441 (C4 (Web Text))

Max Activating Token Index: 411

Text #7

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Max Activating Token Index: 390

Text #8

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Max Activating Token Index: 971

Text #9

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Max Activating Token Index: 543

Text #10

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Max Activating Token Index: 571

Text #11

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Max Activating Token Index: 568

Text #12

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Max Activating Token Index: 861

Text #13

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Max Activating Token Index: 594

Text #14

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Max Activating Token Index: 600

Text #15

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Max Activating Token Index: 434

Text #16

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Max Activating Token Index: 652

Text #17

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Max Activating Token Index: 889

Text #18

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Max Activating Token Index: 791

Text #19

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Data Index: 883020 (C4 (Web Text))

Max Activating Token Index: 425