Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2918 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.7583. Min Range: -0.7583

Max Act: 0.7583. Min Act: -0.0003

Data Index: 1471875 (Python Code)

Max Activating Token Index: 284

Text #1

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Max Act: 0.7314. Min Act: -0.0003

Data Index: 1460076 (Python Code)

Max Activating Token Index: 659

Text #2

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Max Act: 0.7311. Min Act: -0.0003

Data Index: 1511920 (Python Code)

Max Activating Token Index: 107

Text #3

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Max Act: 0.7081. Min Act: -0.0003

Data Index: 1590432 (Python Code)

Max Activating Token Index: 245

Text #4

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Max Act: 0.6772. Min Act: -0.0003

Data Index: 1603452 (Python Code)

Max Activating Token Index: 294

Text #5

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Max Act: 0.6749. Min Act: -0.0003

Data Index: 1649644 (Python Code)

Max Activating Token Index: 285

Text #6

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Max Act: 0.6789. Min Act: -0.0003

Data Index: 1559054 (Python Code)

Max Activating Token Index: 324

Text #7

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Data Index: 1462378 (Python Code)

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Text #8

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Data Index: 1565067 (Python Code)

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Text #9

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Max Act: 0.5633. Min Act: -0.0003

Data Index: 1508973 (Python Code)

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Text #10

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Data Index: 1550256 (Python Code)

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Text #11

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Data Index: 1441718 (Python Code)

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Text #12

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Data Index: 1419395 (Python Code)

Max Activating Token Index: 432

Text #13

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Data Index: 1497331 (Python Code)

Max Activating Token Index: 642

Text #14

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Max Act: 0.5611. Min Act: -0.0003

Data Index: 1521173 (Python Code)

Max Activating Token Index: 597

Text #15

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Data Index: 1610278 (Python Code)

Max Activating Token Index: 404

Text #16

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Data Index: 1584903 (Python Code)

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Text #17

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Data Index: 1631094 (Python Code)

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Text #18

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Max Act: 0.6515. Min Act: -0.0003

Data Index: 1636795 (Python Code)

Max Activating Token Index: 321

Text #19

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Max Act: 0.5899. Min Act: -0.0004

Data Index: 1499238 (Python Code)

Max Activating Token Index: 523