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

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

Neuron 3701 in Layer 0

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

Text #0

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Max Act: 0.0051. Min Act: -0.0002

Data Index: 247362 (C4 (Web Text))

Max Activating Token Index: 988

Text #1

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Max Act: 0.0050. Min Act: -0.0002

Data Index: 586732 (C4 (Web Text))

Max Activating Token Index: 1007

Text #2

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Max Act: 0.0048. Min Act: -0.0002

Data Index: 662087 (C4 (Web Text))

Max Activating Token Index: 1008

Text #3

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Data Index: 308852 (C4 (Web Text))

Max Activating Token Index: 1009

Text #4

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Data Index: 1320255 (C4 (Web Text))

Max Activating Token Index: 1016

Text #5

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Data Index: 15169 (C4 (Web Text))

Max Activating Token Index: 983

Text #6

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Data Index: 692598 (C4 (Web Text))

Max Activating Token Index: 1003

Text #7

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Max Activating Token Index: 1003

Text #8

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Max Activating Token Index: 1018

Text #9

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Data Index: 522171 (C4 (Web Text))

Max Activating Token Index: 996

Text #10

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Data Index: 180014 (C4 (Web Text))

Max Activating Token Index: 1003

Text #11

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Max Activating Token Index: 988

Text #12

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Max Activating Token Index: 993

Text #13

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Max Activating Token Index: 977

Text #14

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Max Activating Token Index: 982

Text #15

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Text #16

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Max Activating Token Index: 1007

Text #17

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Max Activating Token Index: 1014

Text #18

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Max Activating Token Index: 1005

Text #19

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Max Act: 0.0044. Min Act: -0.0002

Data Index: 333498 (C4 (Web Text))

Max Activating Token Index: 965