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Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 31 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')



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Max Act: 7.1010. Min Act: -0.1700

Data Index: 1101923 (C4 (Web Text))

Max Activating Token Index: 179

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Max Activating Token Index: 61

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Max Activating Token Index: 845

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Data Index: 700387 (C4 (Web Text))

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Text #15

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Text #16

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Text #18

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Text #19

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Data Index: 1286735 (C4 (Web Text))

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