Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1943 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1511552 (Python Code)
Max Activating Token Index: 629
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Text #1
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Data Index: 1436280 (Python Code)
Max Activating Token Index: 244
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Text #2
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Max Act: 0.0201. Min Act: -0.0005
Data Index: 1521679 (Python Code)
Max Activating Token Index: 577
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Data Index: 1593131 (Python Code)
Max Activating Token Index: 598
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Text #4
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Data Index: 1511277 (Python Code)
Max Activating Token Index: 486
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Text #5
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Data Index: 1614641 (Python Code)
Max Activating Token Index: 831
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Text #6
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Data Index: 1562804 (Python Code)
Max Activating Token Index: 1018
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Text #7
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Data Index: 1360214 (Python Code)
Max Activating Token Index: 132
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Text #8
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Data Index: 1578698 (Python Code)
Max Activating Token Index: 465
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Text #9
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Data Index: 1633039 (Python Code)
Max Activating Token Index: 652
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Text #10
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Data Index: 669072 (C4 (Web Text))
Max Activating Token Index: 802
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Text #11
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Data Index: 1596954 (Python Code)
Max Activating Token Index: 321
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Text #12
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Data Index: 1488206 (Python Code)
Max Activating Token Index: 952
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Text #13
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Data Index: 1426640 (Python Code)
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Text #14
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Data Index: 1363108 (Python Code)
Max Activating Token Index: 664
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Text #15
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Data Index: 1575340 (Python Code)
Max Activating Token Index: 823
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Text #16
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Data Index: 1560441 (Python Code)
Max Activating Token Index: 677
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Text #17
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Data Index: 1532970 (Python Code)
Max Activating Token Index: 540
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Text #18
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Data Index: 1450770 (Python Code)
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Text #19
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Data Index: 1466412 (Python Code)
Max Activating Token Index: 872
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