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

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

Neuron 1245 in Layer 0

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

Text #0

Max Range: 0.0037. Min Range: -0.0037

Max Act: 0.0037. Min Act: -0.0006

Data Index: 734095 (C4 (Web Text))

Max Activating Token Index: 17

Text #1

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Max Act: 0.0035. Min Act: -0.0005

Data Index: 77430 (C4 (Web Text))

Max Activating Token Index: 19

Text #2

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 101189 (C4 (Web Text))

Max Activating Token Index: 27

Text #3

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Max Act: 0.0035. Min Act: -0.0005

Data Index: 739740 (C4 (Web Text))

Max Activating Token Index: 43

Text #4

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 444536 (C4 (Web Text))

Max Activating Token Index: 34

Text #5

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Max Act: 0.0034. Min Act: -0.0005

Data Index: 1031505 (C4 (Web Text))

Max Activating Token Index: 30

Text #6

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Data Index: 1165355 (C4 (Web Text))

Max Activating Token Index: 42

Text #7

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Max Activating Token Index: 24

Text #8

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Data Index: 7817 (C4 (Web Text))

Max Activating Token Index: 32

Text #9

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Data Index: 691576 (C4 (Web Text))

Max Activating Token Index: 33

Text #10

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Data Index: 235279 (C4 (Web Text))

Max Activating Token Index: 37

Text #11

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Max Activating Token Index: 37

Text #12

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Data Index: 153291 (C4 (Web Text))

Max Activating Token Index: 29

Text #13

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Data Index: 169219 (C4 (Web Text))

Max Activating Token Index: 43

Text #14

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Data Index: 1286414 (C4 (Web Text))

Max Activating Token Index: 50

Text #15

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Max Activating Token Index: 14

Text #16

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Max Activating Token Index: 30

Text #17

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Max Activating Token Index: 24

Text #18

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Data Index: 606765 (C4 (Web Text))

Max Activating Token Index: 35

Text #19

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Max Act: 0.0032. Min Act: -0.0005

Data Index: 1263277 (C4 (Web Text))

Max Activating Token Index: 41