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

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

Neuron 380 in Layer 1

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

Text #0

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Max Act: 0.0546. Min Act: -0.0006

Data Index: 1541540 (Python Code)

Max Activating Token Index: 573

Text #1

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Max Act: 0.0501. Min Act: -0.0006

Data Index: 1468355 (Python Code)

Max Activating Token Index: 474

Text #2

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Max Act: 0.0520. Min Act: -0.0006

Data Index: 1375382 (Python Code)

Max Activating Token Index: 648

Text #3

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Max Act: 0.0506. Min Act: -0.0006

Data Index: 1371503 (Python Code)

Max Activating Token Index: 569

Text #4

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Max Act: 0.0500. Min Act: -0.0006

Data Index: 1479586 (Python Code)

Max Activating Token Index: 803

Text #5

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Data Index: 1365196 (Python Code)

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Text #6

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Data Index: 1624663 (Python Code)

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Text #7

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Data Index: 1426799 (Python Code)

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Text #8

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Data Index: 1378308 (Python Code)

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Text #9

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Data Index: 1544897 (Python Code)

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Text #10

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Data Index: 1594845 (Python Code)

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Data Index: 1403890 (Python Code)

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Text #12

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Data Index: 1554144 (Python Code)

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Text #13

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Data Index: 1642493 (Python Code)

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Text #14

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Data Index: 1628176 (Python Code)

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Text #15

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Data Index: 1546097 (Python Code)

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Text #16

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Data Index: 1518117 (Python Code)

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Text #17

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Data Index: 1654204 (Python Code)

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Text #18

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Data Index: 1416543 (Python Code)

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Text #19

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Data Index: 1490616 (Python Code)

Max Activating Token Index: 272