Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1865 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1254305 (C4 (Web Text))
Max Activating Token Index: 295
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Text #1
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Data Index: 89547 (C4 (Web Text))
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Text #2
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Data Index: 1546987 (Python Code)
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Data Index: 1530623 (Python Code)
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Data Index: 1473699 (Python Code)
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Text #5
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Data Index: 1649691 (Python Code)
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Data Index: 1425623 (Python Code)
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Text #8
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Data Index: 210613 (C4 (Web Text))
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Text #9
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Data Index: 1648172 (Python Code)
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Data Index: 1425109 (Python Code)
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Text #12
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Data Index: 1585627 (Python Code)
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Data Index: 1496183 (Python Code)
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Text #14
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Text #15
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Text #16
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Text #17
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Data Index: 85372 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 1546253 (Python Code)
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