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

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

Neuron 1915 in Layer 1

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



Text #0

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Max Act: 2.9201. Min Act: -0.1700

Data Index: 1641035 (Python Code)

Max Activating Token Index: 563

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Text #1

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Data Index: 1555435 (Python Code)

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Data Index: 1585222 (Python Code)

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Data Index: 1488822 (Python Code)

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Data Index: 1591234 (Python Code)

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Text #5

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Data Index: 1407414 (Python Code)

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Text #6

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Data Index: 1127810 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 155744 (C4 (Web Text))

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Text #9

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Data Index: 1373228 (Python Code)

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Text #11

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Text #17

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Text #18

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Text #19

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