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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1903 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

Max Range: 4.3060. Min Range: -4.3060

Max Act: 4.3060. Min Act: -0.1700

Data Index: 1372401 (Python Code)

Max Activating Token Index: 188

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Text #1

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Max Act: 4.2738. Min Act: -0.1700

Data Index: 1443712 (Python Code)

Max Activating Token Index: 89

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Text #2

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Max Act: 4.2772. Min Act: -0.1700

Data Index: 1399099 (Python Code)

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Text #3

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Max Act: 4.3005. Min Act: -0.1700

Data Index: 1432157 (Python Code)

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Data Index: 1463480 (Python Code)

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Data Index: 1511526 (Python Code)

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Data Index: 1511120 (Python Code)

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Data Index: 1636862 (Python Code)

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Data Index: 1621861 (Python Code)

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Data Index: 1586801 (Python Code)

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Data Index: 1654650 (Python Code)

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Data Index: 1654895 (Python Code)

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Text #14

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Data Index: 1509999 (Python Code)

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