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

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

Neuron 649 in Layer 0

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

Text #0

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Max Act: 0.0391. Min Act: -0.0004

Data Index: 1524183 (Python Code)

Max Activating Token Index: 810

Text #1

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Max Act: 0.0375. Min Act: -0.0004

Data Index: 1452785 (Python Code)

Max Activating Token Index: 904

Text #2

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Max Act: 0.0361. Min Act: -0.0004

Data Index: 1573510 (Python Code)

Max Activating Token Index: 704

Text #3

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Max Act: 0.0353. Min Act: -0.0004

Data Index: 1614527 (Python Code)

Max Activating Token Index: 722

Text #4

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Max Act: 0.0358. Min Act: -0.0004

Data Index: 1545723 (Python Code)

Max Activating Token Index: 802

Text #5

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Max Act: 0.0358. Min Act: -0.0004

Data Index: 1404243 (Python Code)

Max Activating Token Index: 924

Text #6

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Data Index: 1639696 (Python Code)

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Text #7

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Data Index: 1631822 (Python Code)

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Text #8

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Data Index: 1623870 (Python Code)

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Text #9

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Data Index: 1543678 (Python Code)

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Text #10

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Data Index: 1590900 (Python Code)

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Text #11

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Data Index: 1409412 (Python Code)

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Text #12

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Data Index: 1482199 (Python Code)

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Text #13

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Data Index: 1422765 (Python Code)

Max Activating Token Index: 229

Text #14

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Data Index: 1572201 (Python Code)

Max Activating Token Index: 860

Text #15

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Data Index: 1654164 (Python Code)

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Text #16

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Data Index: 1653876 (Python Code)

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Text #17

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Data Index: 1446789 (Python Code)

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Text #18

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Data Index: 1531433 (Python Code)

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Text #19

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Max Act: 0.0323. Min Act: -0.0004

Data Index: 1613849 (Python Code)

Max Activating Token Index: 117