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

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

Neuron 9 in Layer 0

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



Text #0

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Data Index: 1655447 (Python Code)

Max Activating Token Index: 974

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Text #1

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Data Index: 1565547 (Python Code)

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Data Index: 1569931 (Python Code)

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Data Index: 1425435 (Python Code)

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Data Index: 1547016 (Python Code)

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Data Index: 1580225 (Python Code)

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Text #9

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