Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4942 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0499. Min Act: -0.0002

Data Index: 1445190 (Python Code)

Max Activating Token Index: 623

Text #1

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Max Act: 0.0493. Min Act: -0.0002

Data Index: 1545971 (Python Code)

Max Activating Token Index: 655

Text #2

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Max Act: 0.0497. Min Act: -0.0002

Data Index: 401859 (C4 (Web Text))

Max Activating Token Index: 261

Text #3

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 1586500 (Python Code)

Max Activating Token Index: 450

Text #4

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Max Act: 0.0471. Min Act: -0.0002

Data Index: 642662 (C4 (Web Text))

Max Activating Token Index: 59

Text #5

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Max Act: 0.0472. Min Act: -0.0002

Data Index: 88623 (C4 (Web Text))

Max Activating Token Index: 595

Text #6

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Data Index: 1492220 (Python Code)

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Text #7

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Data Index: 494872 (C4 (Web Text))

Max Activating Token Index: 650

Text #8

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Data Index: 942807 (C4 (Web Text))

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Text #9

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Data Index: 1500649 (Python Code)

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Text #10

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Data Index: 407941 (C4 (Web Text))

Max Activating Token Index: 445

Text #11

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Max Activating Token Index: 454

Text #12

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Data Index: 1511743 (Python Code)

Max Activating Token Index: 679

Text #13

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Data Index: 517344 (C4 (Web Text))

Max Activating Token Index: 652

Text #14

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Data Index: 318899 (C4 (Web Text))

Max Activating Token Index: 246

Text #15

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Text #16

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Text #17

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Data Index: 1362283 (Python Code)

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Text #18

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Max Act: 0.0427. Min Act: -0.0002

Data Index: 260627 (C4 (Web Text))

Max Activating Token Index: 612

Text #19

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 1512633 (Python Code)

Max Activating Token Index: 276