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

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

Neuron 969 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0734. Min Act: -0.0002

Data Index: 738465 (C4 (Web Text))

Max Activating Token Index: 580

Text #1

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Max Act: 0.0693. Min Act: -0.0002

Data Index: 1291693 (C4 (Web Text))

Max Activating Token Index: 867

Text #2

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Max Act: 0.0760. Min Act: -0.0002

Data Index: 911386 (C4 (Web Text))

Max Activating Token Index: 519

Text #3

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Max Act: 0.0659. Min Act: -0.0002

Data Index: 1237312 (C4 (Web Text))

Max Activating Token Index: 953

Text #4

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Max Act: 0.0702. Min Act: -0.0002

Data Index: 205251 (C4 (Web Text))

Max Activating Token Index: 929

Text #5

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Data Index: 176943 (C4 (Web Text))

Max Activating Token Index: 770

Text #6

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Data Index: 181337 (C4 (Web Text))

Max Activating Token Index: 379

Text #7

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Data Index: 429535 (C4 (Web Text))

Max Activating Token Index: 470

Text #8

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Data Index: 1204250 (C4 (Web Text))

Max Activating Token Index: 667

Text #9

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Max Activating Token Index: 976

Text #10

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Data Index: 1339355 (C4 (Web Text))

Max Activating Token Index: 677

Text #11

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Data Index: 1254551 (C4 (Web Text))

Max Activating Token Index: 413

Text #12

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Data Index: 113085 (C4 (Web Text))

Max Activating Token Index: 569

Text #13

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Data Index: 338758 (C4 (Web Text))

Max Activating Token Index: 866

Text #14

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Data Index: 166078 (C4 (Web Text))

Max Activating Token Index: 449

Text #15

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Max Activating Token Index: 32

Text #16

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Max Activating Token Index: 150

Text #17

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Max Activating Token Index: 653

Text #18

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Max Activating Token Index: 799

Text #19

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Max Act: 0.0662. Min Act: -0.0002

Data Index: 960211 (C4 (Web Text))

Max Activating Token Index: 437