Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 42 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Max Act: 0.0092. Min Act: -0.0005
Data Index: 1239492 (C4 (Web Text))
Max Activating Token Index: 1001
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Text #1
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Data Index: 1427222 (Python Code)
Max Activating Token Index: 502
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Text #2
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Max Act: 0.0081. Min Act: -0.0005
Data Index: 814947 (C4 (Web Text))
Max Activating Token Index: 660
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Text #3
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Data Index: 1451239 (Python Code)
Max Activating Token Index: 990
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Text #4
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Max Act: 0.0077. Min Act: -0.0005
Data Index: 1493917 (Python Code)
Max Activating Token Index: 949
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Text #5
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Data Index: 298791 (C4 (Web Text))
Max Activating Token Index: 928
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Text #6
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Data Index: 778371 (C4 (Web Text))
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Text #7
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Data Index: 199049 (C4 (Web Text))
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Text #8
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Data Index: 762515 (C4 (Web Text))
Max Activating Token Index: 859
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Text #9
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Data Index: 1526251 (Python Code)
Max Activating Token Index: 77
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Text #10
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Data Index: 1619598 (Python Code)
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Text #11
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Data Index: 1266827 (C4 (Web Text))
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Text #12
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Data Index: 1507367 (Python Code)
Max Activating Token Index: 370
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Text #13
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Data Index: 1551154 (Python Code)
Max Activating Token Index: 461
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Text #14
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Data Index: 499456 (C4 (Web Text))
Max Activating Token Index: 971
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Text #15
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Data Index: 1432531 (Python Code)
Max Activating Token Index: 221
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Text #16
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Data Index: 325423 (C4 (Web Text))
Max Activating Token Index: 379
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Text #17
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Data Index: 1423319 (Python Code)
Max Activating Token Index: 529
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Text #18
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Data Index: 1549275 (Python Code)
Max Activating Token Index: 235
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Text #19
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Data Index: 12198 (C4 (Web Text))
Max Activating Token Index: 1023
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