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

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

Neuron 1378 in Layer 1

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



Text #0

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Data Index: 1602528 (Python Code)

Max Activating Token Index: 883

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Text #1

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Data Index: 1362759 (Python Code)

Max Activating Token Index: 603

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Data Index: 1505116 (Python Code)

Max Activating Token Index: 453

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Data Index: 1457315 (Python Code)

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Data Index: 1496038 (Python Code)

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Data Index: 1434475 (Python Code)

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Text #6

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Data Index: 814249 (C4 (Web Text))

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Data Index: 1482962 (Python Code)

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Data Index: 1500956 (Python Code)

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Text #9

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Data Index: 918874 (C4 (Web Text))

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Text #14

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Data Index: 1498315 (Python Code)

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Text #16

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Text #17

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