Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1986 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0639. Min Act: -0.0002

Data Index: 1577422 (Python Code)

Max Activating Token Index: 513

Text #1

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Max Act: 0.0543. Min Act: -0.0002

Data Index: 1647886 (Python Code)

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Text #2

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Data Index: 1649029 (Python Code)

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Text #3

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Max Act: 0.0547. Min Act: -0.0002

Data Index: 1444409 (Python Code)

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Text #4

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Data Index: 1504100 (Python Code)

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Text #5

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Data Index: 1528730 (Python Code)

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Text #6

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Data Index: 1627439 (Python Code)

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Data Index: 1496758 (Python Code)

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Data Index: 1381356 (Python Code)

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Data Index: 1522167 (Python Code)

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Data Index: 1530670 (Python Code)

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Data Index: 1622658 (Python Code)

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Data Index: 1441641 (Python Code)

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Text #14

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Data Index: 1518274 (Python Code)

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Text #15

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Data Index: 1384235 (Python Code)

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Data Index: 1610790 (Python Code)

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Data Index: 1634290 (Python Code)

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Data Index: 1527077 (Python Code)

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Text #19

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Data Index: 1507732 (Python Code)

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