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

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

Neuron 558 in Layer 0

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

Text #0

Max Range: 0.0251. Min Range: -0.0251

Max Act: 0.0251. Min Act: -0.0005

Data Index: 1401811 (Python Code)

Max Activating Token Index: 936

Text #1

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Max Act: 0.0248. Min Act: -0.0005

Data Index: 1529647 (Python Code)

Max Activating Token Index: 740

Text #2

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Max Act: 0.0241. Min Act: -0.0005

Data Index: 1494111 (Python Code)

Max Activating Token Index: 639

Text #3

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Max Act: 0.0230. Min Act: -0.0005

Data Index: 1498652 (Python Code)

Max Activating Token Index: 569

Text #4

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Max Act: 0.0239. Min Act: -0.0005

Data Index: 1421868 (Python Code)

Max Activating Token Index: 706

Text #5

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Max Act: 0.0233. Min Act: -0.0005

Data Index: 1618554 (Python Code)

Max Activating Token Index: 605

Text #6

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Max Act: 0.0222. Min Act: -0.0005

Data Index: 1525988 (Python Code)

Max Activating Token Index: 349

Text #7

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Data Index: 1395517 (Python Code)

Max Activating Token Index: 387

Text #8

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Data Index: 1435950 (Python Code)

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Text #9

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Data Index: 1440559 (Python Code)

Max Activating Token Index: 171

Text #10

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Data Index: 1510232 (Python Code)

Max Activating Token Index: 263

Text #11

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Data Index: 1523216 (Python Code)

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Text #12

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Data Index: 1607777 (Python Code)

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Text #13

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Data Index: 1610015 (Python Code)

Max Activating Token Index: 938

Text #14

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Data Index: 634382 (C4 (Web Text))

Max Activating Token Index: 710

Text #15

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Data Index: 1608444 (Python Code)

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Text #16

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Data Index: 1506345 (Python Code)

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Text #17

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Data Index: 932484 (C4 (Web Text))

Max Activating Token Index: 153

Text #18

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Data Index: 981153 (C4 (Web Text))

Max Activating Token Index: 893

Text #19

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Max Act: 0.0196. Min Act: -0.0005

Data Index: 1575781 (Python Code)

Max Activating Token Index: 639