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

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

Neuron 1141 in Layer 1

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

Text #0

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Max Act: 0.0286. Min Act: -0.0003

Data Index: 1426801 (Python Code)

Max Activating Token Index: 554

Text #1

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Max Act: 0.0272. Min Act: -0.0003

Data Index: 1559320 (Python Code)

Max Activating Token Index: 670

Text #2

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 464419 (C4 (Web Text))

Max Activating Token Index: 749

Text #3

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Max Act: 0.0219. Min Act: -0.0003

Data Index: 1423398 (Python Code)

Max Activating Token Index: 747

Text #4

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Max Act: 0.0212. Min Act: -0.0003

Data Index: 1596963 (Python Code)

Max Activating Token Index: 569

Text #5

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Max Act: 0.0222. Min Act: -0.0003

Data Index: 1519891 (Python Code)

Max Activating Token Index: 368

Text #6

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Data Index: 1580511 (Python Code)

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Text #7

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Data Index: 1409959 (Python Code)

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Text #8

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Data Index: 601282 (C4 (Web Text))

Max Activating Token Index: 326

Text #9

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Data Index: 1408149 (Python Code)

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Text #10

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Data Index: 133105 (C4 (Web Text))

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Text #11

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Data Index: 1292071 (C4 (Web Text))

Max Activating Token Index: 325

Text #12

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Data Index: 1604753 (Python Code)

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Text #13

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Data Index: 1546300 (Python Code)

Max Activating Token Index: 764

Text #14

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Data Index: 1401506 (Python Code)

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Text #15

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Text #16

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Data Index: 1586338 (Python Code)

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Text #17

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Data Index: 1610600 (Python Code)

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Text #18

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Data Index: 751857 (C4 (Web Text))

Max Activating Token Index: 538

Text #19

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Data Index: 1485524 (Python Code)

Max Activating Token Index: 4