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

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

Neuron 1425 in Layer 1

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

Text #0

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Max Act: 0.0285. Min Act: -0.0006

Data Index: 1430517 (Python Code)

Max Activating Token Index: 811

Text #1

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Max Act: 0.0283. Min Act: -0.0006

Data Index: 1522695 (Python Code)

Max Activating Token Index: 830

Text #2

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 1569633 (Python Code)

Max Activating Token Index: 195

Text #3

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Max Act: 0.0294. Min Act: -0.0006

Data Index: 1411215 (Python Code)

Max Activating Token Index: 200

Text #4

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Max Act: 0.0288. Min Act: -0.0006

Data Index: 1557327 (Python Code)

Max Activating Token Index: 56

Text #5

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Max Act: 0.0284. Min Act: -0.0006

Data Index: 1396774 (Python Code)

Max Activating Token Index: 192

Text #6

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Data Index: 1611757 (Python Code)

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Text #7

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Data Index: 1498172 (Python Code)

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Text #8

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Data Index: 1393223 (Python Code)

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Text #9

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Data Index: 1370802 (Python Code)

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Text #10

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Data Index: 1474604 (Python Code)

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Text #11

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Data Index: 1539906 (Python Code)

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Text #12

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Data Index: 1486363 (Python Code)

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Text #13

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Data Index: 1400875 (Python Code)

Max Activating Token Index: 92

Text #14

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Data Index: 1593174 (Python Code)

Max Activating Token Index: 509

Text #15

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Data Index: 1617426 (Python Code)

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Text #16

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Data Index: 1503691 (Python Code)

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Text #17

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Data Index: 1610706 (Python Code)

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Text #18

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Data Index: 1652721 (Python Code)

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Text #19

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Data Index: 1540828 (Python Code)

Max Activating Token Index: 717