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

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

Neuron 1049 in Layer 2

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

Text #0

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Max Act: 0.0394. Min Act: -0.0005

Data Index: 839620 (C4 (Web Text))

Max Activating Token Index: 788

Text #1

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Data Index: 1441404 (Python Code)

Max Activating Token Index: 1015

Text #2

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Max Act: 0.0383. Min Act: -0.0005

Data Index: 1559678 (Python Code)

Max Activating Token Index: 367

Text #3

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Max Act: 0.0401. Min Act: -0.0005

Data Index: 1501139 (Python Code)

Max Activating Token Index: 501

Text #4

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Max Act: 0.0391. Min Act: -0.0005

Data Index: 313348 (C4 (Web Text))

Max Activating Token Index: 885

Text #5

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Data Index: 936336 (C4 (Web Text))

Max Activating Token Index: 727

Text #6

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Max Activating Token Index: 777

Text #7

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Data Index: 1361377 (Python Code)

Max Activating Token Index: 411

Text #8

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Text #9

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Data Index: 98259 (C4 (Web Text))

Max Activating Token Index: 973

Text #10

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Max Activating Token Index: 685

Text #11

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Text #12

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Max Activating Token Index: 832

Text #13

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Data Index: 1333487 (C4 (Web Text))

Max Activating Token Index: 659

Text #14

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Data Index: 1472813 (Python Code)

Max Activating Token Index: 464

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 1086889 (C4 (Web Text))

Max Activating Token Index: 883