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

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

Neuron 1411 in Layer 1

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



Text #0

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Data Index: 1415704 (Python Code)

Max Activating Token Index: 635

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Text #1

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Data Index: 1524893 (Python Code)

Max Activating Token Index: 960

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Data Index: 1414763 (Python Code)

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Data Index: 1529824 (Python Code)

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Data Index: 1560402 (Python Code)

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Data Index: 1549308 (Python Code)

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Data Index: 1392174 (Python Code)

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Text #14

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Data Index: 1060260 (C4 (Web Text))

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Text #16

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