Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1031 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0069. Min Act: -0.0004

Data Index: 885384 (C4 (Web Text))

Max Activating Token Index: 1013

Text #1

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 1000485 (C4 (Web Text))

Max Activating Token Index: 968

Text #2

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 1580934 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0061. Min Act: -0.0004

Data Index: 1486898 (Python Code)

Max Activating Token Index: 1001

Text #4

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Max Act: 0.0060. Min Act: -0.0004

Data Index: 1457646 (Python Code)

Max Activating Token Index: 966

Text #5

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Max Act: 0.0059. Min Act: -0.0004

Data Index: 1072019 (C4 (Web Text))

Max Activating Token Index: 1014

Text #6

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Data Index: 1648119 (Python Code)

Max Activating Token Index: 985

Text #7

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Data Index: 1560135 (Python Code)

Max Activating Token Index: 1009

Text #8

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Data Index: 1618630 (Python Code)

Max Activating Token Index: 974

Text #9

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Data Index: 250138 (C4 (Web Text))

Max Activating Token Index: 1020

Text #10

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Data Index: 1375371 (Python Code)

Max Activating Token Index: 1018

Text #11

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Data Index: 1426829 (Python Code)

Max Activating Token Index: 941

Text #12

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Max Activating Token Index: 988

Text #13

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Data Index: 77892 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Data Index: 1202553 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Max Activating Token Index: 1023

Text #16

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Data Index: 1647252 (Python Code)

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Text #17

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Data Index: 1367473 (Python Code)

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Text #18

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Data Index: 1482993 (Python Code)

Max Activating Token Index: 1011

Text #19

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Max Act: 0.0057. Min Act: -0.0004

Data Index: 1367637 (Python Code)

Max Activating Token Index: 983