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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 25 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

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Max Act: 7.1511. Min Act: -0.1700

Data Index: 618825 (C4 (Web Text))

Max Activating Token Index: 1007

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Text #1

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Data Index: 751239 (C4 (Web Text))

Max Activating Token Index: 695

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Text #2

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Max Act: 6.9558. Min Act: -0.1700

Data Index: 1488962 (Python Code)

Max Activating Token Index: 738

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Max Act: 6.8542. Min Act: -0.1700

Data Index: 1628793 (Python Code)

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Data Index: 408978 (C4 (Web Text))

Max Activating Token Index: 550

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Data Index: 353208 (C4 (Web Text))

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Data Index: 1554863 (Python Code)

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Data Index: 1415631 (Python Code)

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Data Index: 1419194 (Python Code)

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Data Index: 1647094 (Python Code)

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Data Index: 237099 (C4 (Web Text))

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Data Index: 1547800 (Python Code)

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Data Index: 1055922 (C4 (Web Text))

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Text #16

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Data Index: 652914 (C4 (Web Text))

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Data Index: 1420589 (Python Code)

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Data Index: 1287125 (C4 (Web Text))

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