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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1425 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Data Index: 1563708 (Python Code)

Max Activating Token Index: 731

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Data Index: 1396207 (Python Code)

Max Activating Token Index: 813

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Data Index: 1466837 (Python Code)

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Data Index: 1493018 (Python Code)

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Data Index: 1432491 (Python Code)

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Data Index: 1472025 (Python Code)

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Text #8

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Data Index: 1354288 (C4 (Web Text))

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Data Index: 1370428 (Python Code)

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Data Index: 344508 (C4 (Web Text))

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