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

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

Neuron 2716 in Layer 0

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

Text #0

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Max Act: 0.0162. Min Act: -0.0001

Data Index: 1532526 (Python Code)

Max Activating Token Index: 1017

Text #1

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Max Act: 0.0118. Min Act: -0.0002

Data Index: 1365095 (Python Code)

Max Activating Token Index: 1016

Text #2

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Max Act: 0.0113. Min Act: -0.0001

Data Index: 1370235 (Python Code)

Max Activating Token Index: 985

Text #3

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Max Act: 0.0114. Min Act: -0.0001

Data Index: 1620392 (Python Code)

Max Activating Token Index: 1017

Text #4

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Max Act: 0.0111. Min Act: -0.0001

Data Index: 1523091 (Python Code)

Max Activating Token Index: 998

Text #5

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1590637 (Python Code)

Max Activating Token Index: 1016

Text #6

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Data Index: 1581658 (Python Code)

Max Activating Token Index: 1002

Text #7

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Data Index: 1472588 (Python Code)

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Text #8

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Data Index: 1390014 (Python Code)

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Data Index: 1547729 (Python Code)

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Text #10

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Data Index: 1423786 (Python Code)

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Text #11

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Data Index: 1385033 (Python Code)

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Text #12

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Data Index: 376358 (C4 (Web Text))

Max Activating Token Index: 1010

Text #13

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Data Index: 1567863 (Python Code)

Max Activating Token Index: 974

Text #14

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Data Index: 1483405 (Python Code)

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Text #15

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Data Index: 1622477 (Python Code)

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Text #16

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Data Index: 1421101 (Python Code)

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Text #17

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Data Index: 1578416 (Python Code)

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Text #18

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Data Index: 1452650 (Python Code)

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Text #19

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Data Index: 1557547 (Python Code)

Max Activating Token Index: 1001