Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1995 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 3.1262. Min Act: -0.1700
Data Index: 317598 (C4 (Web Text))
Max Activating Token Index: 438
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Text #1
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Data Index: 1598400 (Python Code)
Max Activating Token Index: 14
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Data Index: 1414321 (Python Code)
Max Activating Token Index: 87
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Data Index: 1481268 (Python Code)
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Data Index: 1484878 (Python Code)
Max Activating Token Index: 379
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Data Index: 1392237 (Python Code)
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Data Index: 1422840 (Python Code)
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Data Index: 1487847 (Python Code)
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Text #8
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Data Index: 1613306 (Python Code)
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Data Index: 1530594 (Python Code)
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Data Index: 1535521 (Python Code)
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Data Index: 1547188 (Python Code)
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Text #12
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Data Index: 1580726 (Python Code)
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Data Index: 1584363 (Python Code)
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Text #14
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Data Index: 1586178 (Python Code)
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Text #15
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Data Index: 1603416 (Python Code)
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Data Index: 1447228 (Python Code)
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Data Index: 1397330 (Python Code)
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Data Index: 1359890 (Python Code)
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Text #19
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Data Index: 59220 (C4 (Web Text))
Max Activating Token Index: 73
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