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

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

Neuron 4899 in Layer 4

Load this data into an Interactive Neuroscope

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



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Max Range: 4.0400. Min Range: -4.0400

Max Act: 4.0400. Min Act: -0.0000

Data Index: 1410118 (Python Code)

Max Activating Token Index: 741

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Text #1

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Max Act: 3.5549. Min Act: -0.0001

Data Index: 1414725 (Python Code)

Max Activating Token Index: 561

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Max Act: 3.8598. Min Act: -0.0001

Data Index: 1567957 (Python Code)

Max Activating Token Index: 906

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Max Act: 3.8697. Min Act: -0.0000

Data Index: 1643353 (Python Code)

Max Activating Token Index: 664

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Data Index: 1467481 (Python Code)

Max Activating Token Index: 974

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Data Index: 1545996 (Python Code)

Max Activating Token Index: 618

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Data Index: 1466770 (Python Code)

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Data Index: 1589702 (Python Code)

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Data Index: 1645909 (Python Code)

Max Activating Token Index: 874

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Data Index: 1416898 (Python Code)

Max Activating Token Index: 883

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Data Index: 1586033 (Python Code)

Max Activating Token Index: 292

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Data Index: 1639464 (Python Code)

Max Activating Token Index: 509

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Max Activating Token Index: 305

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Data Index: 1414621 (Python Code)

Max Activating Token Index: 548

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Data Index: 1390045 (Python Code)

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Text #17

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Data Index: 868995 (C4 (Web Text))

Max Activating Token Index: 865

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Data Index: 1534686 (Python Code)

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Max Act: 3.0604. Min Act: -0.0001

Data Index: 514421 (C4 (Web Text))

Max Activating Token Index: 158

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