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

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

Neuron 1187 in Layer 0

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

Text #0

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1196220 (C4 (Web Text))

Max Activating Token Index: 1009

Text #1

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 165256 (C4 (Web Text))

Max Activating Token Index: 995

Text #2

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 380625 (C4 (Web Text))

Max Activating Token Index: 970

Text #3

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1024346 (C4 (Web Text))

Max Activating Token Index: 998

Text #4

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 1438342 (Python Code)

Max Activating Token Index: 975

Text #5

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Data Index: 1338124 (C4 (Web Text))

Max Activating Token Index: 1005

Text #6

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Data Index: 61756 (C4 (Web Text))

Max Activating Token Index: 1005

Text #7

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Data Index: 1188611 (C4 (Web Text))

Max Activating Token Index: 1005

Text #8

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Data Index: 1434723 (Python Code)

Max Activating Token Index: 1012

Text #9

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Data Index: 165770 (C4 (Web Text))

Max Activating Token Index: 994

Text #10

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Data Index: 1524827 (Python Code)

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Text #11

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Data Index: 259959 (C4 (Web Text))

Max Activating Token Index: 999

Text #12

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Data Index: 786071 (C4 (Web Text))

Max Activating Token Index: 993

Text #13

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Data Index: 1106077 (C4 (Web Text))

Max Activating Token Index: 975

Text #14

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Data Index: 590332 (C4 (Web Text))

Max Activating Token Index: 1003

Text #15

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Max Activating Token Index: 1008

Text #16

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Max Activating Token Index: 995

Text #17

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Max Activating Token Index: 1012

Text #18

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Data Index: 920334 (C4 (Web Text))

Max Activating Token Index: 998

Text #19

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Data Index: 463780 (C4 (Web Text))

Max Activating Token Index: 1020