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

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

Neuron 575 in Layer 1

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

Text #0

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Max Act: 0.0655. Min Act: -0.0003

Data Index: 685385 (C4 (Web Text))

Max Activating Token Index: 792

Text #1

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Max Act: 0.0630. Min Act: -0.0003

Data Index: 1404171 (Python Code)

Max Activating Token Index: 139

Text #2

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Max Act: 0.0636. Min Act: -0.0003

Data Index: 1522992 (Python Code)

Max Activating Token Index: 72

Text #3

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Max Act: 0.0622. Min Act: -0.0003

Data Index: 49898 (C4 (Web Text))

Max Activating Token Index: 597

Text #4

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Max Act: 0.0591. Min Act: -0.0003

Data Index: 1634323 (Python Code)

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Text #5

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Data Index: 979338 (C4 (Web Text))

Max Activating Token Index: 268

Text #6

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Data Index: 1436048 (Python Code)

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Text #7

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Data Index: 1479923 (Python Code)

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Text #8

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Data Index: 615648 (C4 (Web Text))

Max Activating Token Index: 641

Text #9

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Data Index: 948621 (C4 (Web Text))

Max Activating Token Index: 833

Text #10

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Data Index: 1489289 (Python Code)

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Text #11

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Data Index: 1501736 (Python Code)

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Text #12

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Data Index: 196599 (C4 (Web Text))

Max Activating Token Index: 767

Text #13

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Data Index: 1158470 (C4 (Web Text))

Max Activating Token Index: 120

Text #14

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Data Index: 1635191 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1579046 (Python Code)

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Text #18

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Data Index: 683988 (C4 (Web Text))

Max Activating Token Index: 745

Text #19

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Data Index: 1615285 (Python Code)

Max Activating Token Index: 321