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

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

Neuron 2256 in Layer 0

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0103. Min Range: -0.0103

Max Act: 0.0103. Min Act: -0.0002

Data Index: 477835 (C4 (Web Text))

Max Activating Token Index: 1019

Text #1

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Data Index: 618579 (C4 (Web Text))

Max Activating Token Index: 1016

Text #2

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 404258 (C4 (Web Text))

Max Activating Token Index: 1006

Text #3

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1189341 (C4 (Web Text))

Max Activating Token Index: 1010

Text #4

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1074586 (C4 (Web Text))

Max Activating Token Index: 1016

Text #5

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 943493 (C4 (Web Text))

Max Activating Token Index: 1018

Text #6

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Data Index: 748417 (C4 (Web Text))

Max Activating Token Index: 1007

Text #7

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Data Index: 610322 (C4 (Web Text))

Max Activating Token Index: 1018

Text #8

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Max Activating Token Index: 1016

Text #9

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Max Activating Token Index: 1020

Text #10

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Data Index: 817062 (C4 (Web Text))

Max Activating Token Index: 1002

Text #11

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Data Index: 918694 (C4 (Web Text))

Max Activating Token Index: 1002

Text #12

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Data Index: 142510 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 683186 (C4 (Web Text))

Max Activating Token Index: 1022

Text #14

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Data Index: 169553 (C4 (Web Text))

Max Activating Token Index: 1015

Text #15

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Max Activating Token Index: 1019

Text #16

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Max Activating Token Index: 1001

Text #17

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Max Activating Token Index: 1018

Text #18

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Max Activating Token Index: 1022

Text #19

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 347264 (C4 (Web Text))

Max Activating Token Index: 1011