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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 503 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



Text #0

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Max Act: 2.5942. Min Act: -0.1700

Data Index: 1451300 (Python Code)

Max Activating Token Index: 626

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Text #1

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Data Index: 1553898 (Python Code)

Max Activating Token Index: 4

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Data Index: 1527720 (Python Code)

Max Activating Token Index: 784

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Data Index: 1528223 (Python Code)

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Text #4

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Data Index: 520979 (C4 (Web Text))

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Data Index: 1613155 (Python Code)

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Data Index: 1625163 (Python Code)

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Data Index: 1480275 (Python Code)

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Data Index: 1439758 (Python Code)

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Data Index: 1597906 (Python Code)

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Text #16

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Text #18

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Data Index: 1105628 (C4 (Web Text))

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Data Index: 1478959 (Python Code)

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