Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1880 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0134. Min Act: -0.0006

Data Index: 1548139 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1041500 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 1509519 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0106. Min Act: -0.0006

Data Index: 1612143 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0102. Min Act: -0.0005

Data Index: 1602392 (Python Code)

Max Activating Token Index: 679

Text #5

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 82443 (C4 (Web Text))

Max Activating Token Index: 1023

Text #6

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Data Index: 804340 (C4 (Web Text))

Max Activating Token Index: 960

Text #7

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Data Index: 778932 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Data Index: 1166157 (C4 (Web Text))

Max Activating Token Index: 1023

Text #9

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Data Index: 1398599 (Python Code)

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Text #10

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Data Index: 1357542 (C4 (Web Text))

Max Activating Token Index: 576

Text #11

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Data Index: 781931 (C4 (Web Text))

Max Activating Token Index: 731

Text #12

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Data Index: 612110 (C4 (Web Text))

Max Activating Token Index: 1023

Text #13

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Data Index: 1619989 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1550126 (Python Code)

Max Activating Token Index: 222

Text #15

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Data Index: 492633 (C4 (Web Text))

Max Activating Token Index: 357

Text #16

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Data Index: 1630676 (Python Code)

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Text #17

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Data Index: 1508436 (Python Code)

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Text #18

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Data Index: 1451788 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1082555 (C4 (Web Text))

Max Activating Token Index: 1023