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

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

Neuron 158 in Layer 1

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

Text #0

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Data Index: 70939 (C4 (Web Text))

Max Activating Token Index: 843

Text #1

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Data Index: 553238 (C4 (Web Text))

Max Activating Token Index: 180

Text #2

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Data Index: 3005 (C4 (Web Text))

Max Activating Token Index: 941

Text #3

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Max Act: 0.0978. Min Act: -0.0003

Data Index: 752639 (C4 (Web Text))

Max Activating Token Index: 279

Text #4

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Data Index: 849754 (C4 (Web Text))

Max Activating Token Index: 146

Text #5

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Max Activating Token Index: 783

Text #6

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Text #7

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Text #8

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Data Index: 1550798 (Python Code)

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Text #9

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Max Activating Token Index: 111

Text #10

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Max Activating Token Index: 755

Text #11

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Max Activating Token Index: 583

Text #12

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Max Activating Token Index: 378

Text #13

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Data Index: 1460958 (Python Code)

Max Activating Token Index: 856

Text #14

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Data Index: 509029 (C4 (Web Text))

Max Activating Token Index: 834

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 887

Text #18

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Data Index: 110609 (C4 (Web Text))

Max Activating Token Index: 98

Text #19

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Data Index: 1305529 (C4 (Web Text))

Max Activating Token Index: 158