Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0017. Min Act: -0.0003
Data Index: 1545615 (Python Code)
Max Activating Token Index: 84
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Text #1
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Max Act: 0.0017. Min Act: -0.0003
Data Index: 1412927 (Python Code)
Max Activating Token Index: 21
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Text #2
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Max Act: 0.0015. Min Act: -0.0003
Data Index: 1609545 (Python Code)
Max Activating Token Index: 33
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Text #3
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Max Act: 0.0015. Min Act: -0.0003
Data Index: 1495090 (Python Code)
Max Activating Token Index: 820
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Text #4
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Max Act: 0.0014. Min Act: -0.0003
Data Index: 1374714 (Python Code)
Max Activating Token Index: 63
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Text #5
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Data Index: 1563905 (Python Code)
Max Activating Token Index: 33
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Text #6
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Data Index: 1403148 (Python Code)
Max Activating Token Index: 80
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Data Index: 1527505 (Python Code)
Max Activating Token Index: 47
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Text #8
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Data Index: 1376359 (Python Code)
Max Activating Token Index: 79
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Text #9
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Data Index: 1436815 (Python Code)
Max Activating Token Index: 167
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Data Index: 1497359 (Python Code)
Max Activating Token Index: 48
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Text #11
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Data Index: 1446486 (Python Code)
Max Activating Token Index: 45
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Text #12
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Data Index: 1579267 (Python Code)
Max Activating Token Index: 987
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Text #13
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Max Act: 0.0013. Min Act: -0.0003
Data Index: 1492010 (Python Code)
Max Activating Token Index: 600
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Text #14
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Data Index: 1612356 (Python Code)
Max Activating Token Index: 600
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Text #15
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Data Index: 1566587 (Python Code)
Max Activating Token Index: 23
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Text #16
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Data Index: 1479673 (Python Code)
Max Activating Token Index: 75
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Text #17
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Data Index: 1393875 (Python Code)
Max Activating Token Index: 133
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Text #18
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Data Index: 1551901 (Python Code)
Max Activating Token Index: 310
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Text #19
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Data Index: 1598279 (Python Code)
Max Activating Token Index: 202
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