Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1674 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0156. Min Act: -0.0005

Data Index: 1532834 (Python Code)

Max Activating Token Index: 103

Text #1

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Max Act: 0.0155. Min Act: -0.0006

Data Index: 5934 (C4 (Web Text))

Max Activating Token Index: 605

Text #2

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Max Act: 0.0154. Min Act: -0.0005

Data Index: 1623690 (Python Code)

Max Activating Token Index: 659

Text #3

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Max Act: 0.0152. Min Act: -0.0005

Data Index: 1592261 (Python Code)

Max Activating Token Index: 779

Text #4

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Max Act: 0.0152. Min Act: -0.0005

Data Index: 1531315 (Python Code)

Max Activating Token Index: 401

Text #5

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Max Act: 0.0150. Min Act: -0.0005

Data Index: 1614827 (Python Code)

Max Activating Token Index: 665

Text #6

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Data Index: 1516721 (Python Code)

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Text #7

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Data Index: 1506333 (Python Code)

Max Activating Token Index: 393

Text #8

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Data Index: 1603570 (Python Code)

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Text #9

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Data Index: 1384132 (Python Code)

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Text #10

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Data Index: 1456265 (Python Code)

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Text #11

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Data Index: 1531841 (Python Code)

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Text #12

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Data Index: 1475000 (Python Code)

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Text #13

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Data Index: 1427453 (Python Code)

Max Activating Token Index: 671

Text #14

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Data Index: 1431742 (Python Code)

Max Activating Token Index: 643

Text #15

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Data Index: 1479348 (Python Code)

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Text #16

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Data Index: 1522390 (Python Code)

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Text #17

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Data Index: 1444331 (Python Code)

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Text #18

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Data Index: 1442372 (Python Code)

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Text #19

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Data Index: 1515105 (Python Code)

Max Activating Token Index: 522