Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2030 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1605712 (Python Code)
Max Activating Token Index: 22
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Text #1
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Data Index: 1648022 (Python Code)
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Data Index: 525288 (C4 (Web Text))
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Text #8
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Text #14
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