Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 140 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 236874 (C4 (Web Text))

Max Activating Token Index: 538

Text #1

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Data Index: 1011162 (C4 (Web Text))

Max Activating Token Index: 689

Text #2

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Max Act: 0.0900. Min Act: -0.0005

Data Index: 364321 (C4 (Web Text))

Max Activating Token Index: 674

Text #3

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Max Act: 0.0837. Min Act: -0.0005

Data Index: 432501 (C4 (Web Text))

Max Activating Token Index: 157

Text #4

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Data Index: 493330 (C4 (Web Text))

Max Activating Token Index: 902

Text #5

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Max Activating Token Index: 810

Text #6

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Data Index: 974011 (C4 (Web Text))

Max Activating Token Index: 98

Text #7

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Data Index: 1000712 (C4 (Web Text))

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Text #8

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Max Activating Token Index: 505

Text #9

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Data Index: 769469 (C4 (Web Text))

Max Activating Token Index: 845

Text #10

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Data Index: 1296963 (C4 (Web Text))

Max Activating Token Index: 33

Text #11

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Data Index: 1531314 (Python Code)

Max Activating Token Index: 374

Text #12

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Max Activating Token Index: 961

Text #13

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Data Index: 18700 (C4 (Web Text))

Max Activating Token Index: 813

Text #14

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Data Index: 371324 (C4 (Web Text))

Max Activating Token Index: 536

Text #15

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Max Activating Token Index: 608

Text #16

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Max Activating Token Index: 104

Text #17

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Max Activating Token Index: 859

Text #18

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Max Activating Token Index: 946

Text #19

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Data Index: 799845 (C4 (Web Text))

Max Activating Token Index: 689