Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2019 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 1455304 (Python Code)
Max Activating Token Index: 889
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Text #1
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Data Index: 1608608 (Python Code)
Max Activating Token Index: 553
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Data Index: 1640587 (Python Code)
Max Activating Token Index: 570
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Data Index: 1535598 (Python Code)
Max Activating Token Index: 857
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Data Index: 1366134 (Python Code)
Max Activating Token Index: 683
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Data Index: 1390378 (Python Code)
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Data Index: 1548039 (Python Code)
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Text #7
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Data Index: 1445455 (Python Code)
Max Activating Token Index: 1005
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Text #8
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Data Index: 1454178 (Python Code)
Max Activating Token Index: 227
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Text #9
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Data Index: 1649738 (Python Code)
Max Activating Token Index: 138
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Text #10
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Data Index: 1556465 (Python Code)
Max Activating Token Index: 133
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Text #11
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Data Index: 1622993 (Python Code)
Max Activating Token Index: 682
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Text #12
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Data Index: 1610729 (Python Code)
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Text #13
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Data Index: 1550359 (Python Code)
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Text #14
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Data Index: 1574108 (Python Code)
Max Activating Token Index: 441
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Text #15
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Data Index: 1648625 (Python Code)
Max Activating Token Index: 732
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Text #16
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Data Index: 1604659 (Python Code)
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Text #17
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Data Index: 1480552 (Python Code)
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Text #18
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Data Index: 1629028 (Python Code)
Max Activating Token Index: 746
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Text #19
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Data Index: 1639228 (Python Code)
Max Activating Token Index: 598
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