Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2009 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0150. Min Act: -0.0003
Data Index: 1476204 (Python Code)
Max Activating Token Index: 1023
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Text #1
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Max Act: 0.0134. Min Act: -0.0004
Data Index: 1403406 (Python Code)
Max Activating Token Index: 585
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Text #2
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Max Act: 0.0134. Min Act: -0.0004
Data Index: 1403665 (Python Code)
Max Activating Token Index: 873
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Max Act: 0.0131. Min Act: -0.0004
Data Index: 1524490 (Python Code)
Max Activating Token Index: 406
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Text #4
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Max Act: 0.0130. Min Act: -0.0003
Data Index: 1499652 (Python Code)
Max Activating Token Index: 328
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Data Index: 1534447 (Python Code)
Max Activating Token Index: 563
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Data Index: 1603660 (Python Code)
Max Activating Token Index: 980
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Text #7
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Data Index: 1472815 (Python Code)
Max Activating Token Index: 291
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Text #8
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Data Index: 1625518 (Python Code)
Max Activating Token Index: 258
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Text #9
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Max Act: 0.0125. Min Act: -0.0004
Data Index: 1342509 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 1588374 (Python Code)
Max Activating Token Index: 326
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Text #11
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Data Index: 1490566 (Python Code)
Max Activating Token Index: 301
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Text #12
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Data Index: 476646 (C4 (Web Text))
Max Activating Token Index: 277
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Text #13
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Data Index: 1521705 (Python Code)
Max Activating Token Index: 765
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Text #14
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Data Index: 1612829 (Python Code)
Max Activating Token Index: 234
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Text #15
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Data Index: 1502814 (Python Code)
Max Activating Token Index: 967
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Text #16
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Data Index: 1420078 (Python Code)
Max Activating Token Index: 1015
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Text #17
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Data Index: 1632847 (Python Code)
Max Activating Token Index: 312
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Text #18
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Data Index: 1446466 (Python Code)
Max Activating Token Index: 292
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Text #19
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Data Index: 1421655 (Python Code)
Max Activating Token Index: 873
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