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

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

Neuron 1238 in Layer 0

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



Text #0

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Max Act: 2.5699. Min Act: -0.1700

Data Index: 1547947 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Data Index: 1610878 (Python Code)

Max Activating Token Index: 1023

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Data Index: 1560368 (Python Code)

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Text #3

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Data Index: 1546206 (Python Code)

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Data Index: 1384752 (Python Code)

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Data Index: 1423113 (Python Code)

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Data Index: 1441158 (Python Code)

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Data Index: 1402976 (Python Code)

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Text #8

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Data Index: 1393527 (Python Code)

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Text #9

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Data Index: 1645728 (Python Code)

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Data Index: 1492863 (Python Code)

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Text #11

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Data Index: 984656 (C4 (Web Text))

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Text #12

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Data Index: 841809 (C4 (Web Text))

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Text #17

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Data Index: 1551558 (Python Code)

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Data Index: 1491354 (Python Code)

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Data Index: 1555418 (Python Code)

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