Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1667 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 82739 (C4 (Web Text))
Max Activating Token Index: 192
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Text #1
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Data Index: 1542067 (Python Code)
Max Activating Token Index: 498
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Data Index: 1587932 (Python Code)
Max Activating Token Index: 203
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Max Act: 0.0110. Min Act: -0.0006
Data Index: 496279 (C4 (Web Text))
Max Activating Token Index: 867
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Text #4
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Max Act: 0.0108. Min Act: -0.0006
Data Index: 978807 (C4 (Web Text))
Max Activating Token Index: 865
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Data Index: 1574903 (Python Code)
Max Activating Token Index: 696
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Data Index: 764904 (C4 (Web Text))
Max Activating Token Index: 857
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Data Index: 1500439 (Python Code)
Max Activating Token Index: 248
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Text #8
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Data Index: 1594138 (Python Code)
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Data Index: 1493867 (Python Code)
Max Activating Token Index: 591
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Data Index: 1645617 (Python Code)
Max Activating Token Index: 568
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Data Index: 1474934 (Python Code)
Max Activating Token Index: 713
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Text #12
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Data Index: 1637723 (Python Code)
Max Activating Token Index: 882
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Data Index: 1613551 (Python Code)
Max Activating Token Index: 289
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Text #14
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Data Index: 1380456 (Python Code)
Max Activating Token Index: 818
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Text #15
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Data Index: 231328 (C4 (Web Text))
Max Activating Token Index: 848
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Text #16
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Data Index: 1472694 (Python Code)
Max Activating Token Index: 964
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Text #17
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Data Index: 1570619 (Python Code)
Max Activating Token Index: 830
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Text #18
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Data Index: 1386901 (Python Code)
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Data Index: 1511655 (Python Code)
Max Activating Token Index: 118
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