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

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

Neuron 2846 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 3.1594. Min Act: -0.0001

Data Index: 1590919 (Python Code)

Max Activating Token Index: 113

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Text #1

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Data Index: 1531221 (Python Code)

Max Activating Token Index: 808

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Max Act: 3.1233. Min Act: -0.0001

Data Index: 1380198 (Python Code)

Max Activating Token Index: 739

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Text #3

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Data Index: 1621502 (Python Code)

Max Activating Token Index: 613

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Text #4

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Data Index: 1631670 (Python Code)

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Text #5

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Data Index: 1559766 (Python Code)

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Data Index: 1364817 (Python Code)

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Data Index: 1630134 (Python Code)

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Text #8

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Data Index: 1633644 (Python Code)

Max Activating Token Index: 655

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Data Index: 1446761 (Python Code)

Max Activating Token Index: 738

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Text #14

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Data Index: 557805 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 1578961 (Python Code)

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Data Index: 1459227 (Python Code)

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