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

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

Neuron 1044 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1373776 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 1418834 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0120. Min Act: -0.0006

Data Index: 32862 (C4 (Web Text))

Max Activating Token Index: 244

Text #3

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Max Act: 0.0117. Min Act: -0.0006

Data Index: 923976 (C4 (Web Text))

Max Activating Token Index: 290

Text #4

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 1628581 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 1477055 (Python Code)

Max Activating Token Index: 495

Text #6

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Data Index: 173175 (C4 (Web Text))

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Text #7

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Data Index: 203437 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Data Index: 1550372 (Python Code)

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Text #9

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Data Index: 1442759 (Python Code)

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Text #10

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Data Index: 1605968 (Python Code)

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Text #11

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Data Index: 1638364 (Python Code)

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Text #12

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Data Index: 1543876 (Python Code)

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Text #13

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Data Index: 1492344 (Python Code)

Max Activating Token Index: 450

Text #14

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Data Index: 1526316 (Python Code)

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Text #15

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Data Index: 1628213 (Python Code)

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Text #16

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Data Index: 1579409 (Python Code)

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Text #17

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Data Index: 1537728 (Python Code)

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Text #18

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Data Index: 1412702 (Python Code)

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Text #19

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Data Index: 1625428 (Python Code)

Max Activating Token Index: 862