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

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

Neuron 1059 in Layer 0

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

Text #0

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 623524 (C4 (Web Text))

Max Activating Token Index: 139

Text #1

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Max Act: 0.0084. Min Act: -0.0005

Data Index: 909054 (C4 (Web Text))

Max Activating Token Index: 589

Text #2

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Max Act: 0.0082. Min Act: -0.0006

Data Index: 627179 (C4 (Web Text))

Max Activating Token Index: 948

Text #3

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 393056 (C4 (Web Text))

Max Activating Token Index: 30

Text #4

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 1239248 (C4 (Web Text))

Max Activating Token Index: 900

Text #5

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Max Act: 0.0082. Min Act: -0.0006

Data Index: 904059 (C4 (Web Text))

Max Activating Token Index: 24

Text #6

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Max Act: 0.0082. Min Act: -0.0005

Data Index: 535649 (C4 (Web Text))

Max Activating Token Index: 24

Text #7

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Data Index: 1353079 (C4 (Web Text))

Max Activating Token Index: 24

Text #8

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Data Index: 411700 (C4 (Web Text))

Max Activating Token Index: 24

Text #9

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 38941 (C4 (Web Text))

Max Activating Token Index: 44

Text #10

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 751569 (C4 (Web Text))

Max Activating Token Index: 45

Text #11

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Max Activating Token Index: 32

Text #12

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Data Index: 483620 (C4 (Web Text))

Max Activating Token Index: 29

Text #13

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 653759 (C4 (Web Text))

Max Activating Token Index: 668

Text #14

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Data Index: 685729 (C4 (Web Text))

Max Activating Token Index: 26

Text #15

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Max Activating Token Index: 26

Text #16

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Max Activating Token Index: 34

Text #17

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Max Activating Token Index: 20

Text #18

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 266647 (C4 (Web Text))

Max Activating Token Index: 20

Text #19

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Max Act: 0.0081. Min Act: -0.0005

Data Index: 1111194 (C4 (Web Text))

Max Activating Token Index: 29