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

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

Neuron 1886 in Layer 0

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

Text #0

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 1439327 (Python Code)

Max Activating Token Index: 874

Text #1

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1440303 (Python Code)

Max Activating Token Index: 897

Text #2

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1357748 (C4 (Web Text))

Max Activating Token Index: 807

Text #3

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Max Act: 0.0127. Min Act: -0.0006

Data Index: 1405880 (Python Code)

Max Activating Token Index: 78

Text #4

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1537128 (Python Code)

Max Activating Token Index: 82

Text #5

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 1504137 (Python Code)

Max Activating Token Index: 703

Text #6

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Data Index: 654120 (C4 (Web Text))

Max Activating Token Index: 177

Text #7

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Data Index: 148248 (C4 (Web Text))

Max Activating Token Index: 344

Text #8

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Data Index: 1475156 (Python Code)

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Data Index: 1518128 (Python Code)

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Text #10

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Data Index: 1637195 (Python Code)

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Text #11

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Data Index: 1431996 (Python Code)

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Text #12

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Data Index: 1448988 (Python Code)

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Text #13

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Data Index: 1556066 (Python Code)

Max Activating Token Index: 875

Text #14

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Data Index: 1425239 (Python Code)

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Text #15

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Data Index: 1541481 (Python Code)

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Text #16

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Data Index: 12280 (C4 (Web Text))

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Text #17

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Data Index: 1435970 (Python Code)

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Text #18

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Data Index: 1467678 (Python Code)

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Text #19

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Data Index: 1476434 (Python Code)

Max Activating Token Index: 227