Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2038 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1263036 (C4 (Web Text))
Max Activating Token Index: 488
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Text #1
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Data Index: 806408 (C4 (Web Text))
Max Activating Token Index: 990
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Text #2
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Data Index: 1520583 (Python Code)
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Data Index: 1497321 (Python Code)
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Data Index: 1606812 (Python Code)
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Data Index: 1548149 (Python Code)
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Data Index: 1507974 (Python Code)
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Text #14
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Data Index: 990550 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 45430 (C4 (Web Text))
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