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

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

Neuron 2372 in Layer 0

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

Text #0

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Max Act: 0.0641. Min Act: -0.0001

Data Index: 467607 (C4 (Web Text))

Max Activating Token Index: 908

Text #1

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Max Activating Token Index: 906

Text #2

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Max Act: 0.0655. Min Act: -0.0002

Data Index: 908147 (C4 (Web Text))

Max Activating Token Index: 137

Text #3

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Data Index: 1058657 (C4 (Web Text))

Max Activating Token Index: 968

Text #4

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Data Index: 509317 (C4 (Web Text))

Max Activating Token Index: 899

Text #5

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Max Activating Token Index: 777

Text #6

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Max Activating Token Index: 902

Text #7

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Max Activating Token Index: 875

Text #8

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Max Activating Token Index: 919

Text #9

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Data Index: 1259287 (C4 (Web Text))

Max Activating Token Index: 399

Text #10

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Data Index: 478747 (C4 (Web Text))

Max Activating Token Index: 815

Text #11

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Max Activating Token Index: 830

Text #12

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Data Index: 713477 (C4 (Web Text))

Max Activating Token Index: 602

Text #13

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Data Index: 612315 (C4 (Web Text))

Max Activating Token Index: 768

Text #14

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Max Activating Token Index: 124

Text #15

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Max Activating Token Index: 799

Text #16

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Max Activating Token Index: 455

Text #17

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Data Index: 188347 (C4 (Web Text))

Max Activating Token Index: 638

Text #18

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Data Index: 613014 (C4 (Web Text))

Max Activating Token Index: 976

Text #19

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Data Index: 444841 (C4 (Web Text))

Max Activating Token Index: 856