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

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

Neuron 60 in Layer 2

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

Text #0

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Max Act: 0.0571. Min Act: -0.0005

Data Index: 1544809 (Python Code)

Max Activating Token Index: 629

Text #1

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Max Act: 0.0565. Min Act: -0.0005

Data Index: 1454228 (Python Code)

Max Activating Token Index: 757

Text #2

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Max Act: 0.0550. Min Act: -0.0005

Data Index: 1479738 (Python Code)

Max Activating Token Index: 554

Text #3

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Max Act: 0.0537. Min Act: -0.0005

Data Index: 464454 (C4 (Web Text))

Max Activating Token Index: 86

Text #4

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Max Act: 0.0479. Min Act: -0.0005

Data Index: 1438404 (Python Code)

Max Activating Token Index: 520

Text #5

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Max Act: 0.0504. Min Act: -0.0005

Data Index: 1053660 (C4 (Web Text))

Max Activating Token Index: 506

Text #6

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Data Index: 1283340 (C4 (Web Text))

Max Activating Token Index: 594

Text #7

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Max Activating Token Index: 857

Text #8

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Max Activating Token Index: 917

Text #9

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Data Index: 813559 (C4 (Web Text))

Max Activating Token Index: 704

Text #10

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Data Index: 144755 (C4 (Web Text))

Max Activating Token Index: 407

Text #11

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Max Activating Token Index: 62

Text #12

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Max Activating Token Index: 384

Text #13

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Data Index: 1036063 (C4 (Web Text))

Max Activating Token Index: 80

Text #14

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Max Activating Token Index: 94

Text #15

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Text #16

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Text #17

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Data Index: 1545990 (Python Code)

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Text #18

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Data Index: 706165 (C4 (Web Text))

Max Activating Token Index: 975

Text #19

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Max Act: 0.0460. Min Act: -0.0005

Data Index: 1632860 (Python Code)

Max Activating Token Index: 751