Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 144 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0054. Min Range: -0.0054

Max Act: 0.0054. Min Act: -0.0002

Data Index: 976591 (C4 (Web Text))

Max Activating Token Index: 1017

Text #1

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Max Act: 0.0047. Min Act: -0.0002

Data Index: 717426 (C4 (Web Text))

Max Activating Token Index: 1010

Text #2

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Max Act: 0.0045. Min Act: -0.0002

Data Index: 1492896 (Python Code)

Max Activating Token Index: 1017

Text #3

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Max Act: 0.0043. Min Act: -0.0002

Data Index: 762995 (C4 (Web Text))

Max Activating Token Index: 1022

Text #4

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Data Index: 1249739 (C4 (Web Text))

Max Activating Token Index: 1022

Text #5

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Data Index: 507125 (C4 (Web Text))

Max Activating Token Index: 1022

Text #6

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Max Act: 0.0039. Min Act: -0.0002

Data Index: 742629 (C4 (Web Text))

Max Activating Token Index: 1018

Text #7

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Data Index: 38060 (C4 (Web Text))

Max Activating Token Index: 1018

Text #8

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Data Index: 660123 (C4 (Web Text))

Max Activating Token Index: 1021

Text #9

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Data Index: 533876 (C4 (Web Text))

Max Activating Token Index: 1020

Text #10

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Max Activating Token Index: 1003

Text #11

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Text #12

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Data Index: 198928 (C4 (Web Text))

Max Activating Token Index: 1020

Text #13

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Data Index: 195006 (C4 (Web Text))

Max Activating Token Index: 1019

Text #14

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Max Activating Token Index: 1018

Text #15

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Max Activating Token Index: 1020

Text #16

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Data Index: 1630637 (Python Code)

Max Activating Token Index: 1018

Text #17

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Data Index: 502038 (C4 (Web Text))

Max Activating Token Index: 1020

Text #18

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Data Index: 1590920 (Python Code)

Max Activating Token Index: 1021

Text #19

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Max Act: 0.0037. Min Act: -0.0002

Data Index: 5311 (C4 (Web Text))

Max Activating Token Index: 1020