Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 7 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 1523885 (Python Code)
Max Activating Token Index: 647
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Text #1
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Data Index: 1468550 (Python Code)
Max Activating Token Index: 303
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Text #2
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Max Act: 0.0073. Min Act: -0.0005
Data Index: 1465916 (Python Code)
Max Activating Token Index: 660
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Max Act: 0.0072. Min Act: -0.0006
Data Index: 1592669 (Python Code)
Max Activating Token Index: 651
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Text #4
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Data Index: 573502 (C4 (Web Text))
Max Activating Token Index: 439
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Text #5
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Data Index: 1070803 (C4 (Web Text))
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Text #6
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Data Index: 1598438 (Python Code)
Max Activating Token Index: 953
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Text #7
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Data Index: 1485054 (Python Code)
Max Activating Token Index: 974
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Text #8
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Data Index: 1587323 (Python Code)
Max Activating Token Index: 245
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Text #9
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Data Index: 1370806 (Python Code)
Max Activating Token Index: 446
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Text #10
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Data Index: 1615252 (Python Code)
Max Activating Token Index: 141
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Text #11
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Data Index: 1472001 (Python Code)
Max Activating Token Index: 312
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Text #12
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Data Index: 1431514 (Python Code)
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Text #13
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Data Index: 548115 (C4 (Web Text))
Max Activating Token Index: 730
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Text #14
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Data Index: 1547311 (Python Code)
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Text #15
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Data Index: 1456539 (Python Code)
Max Activating Token Index: 238
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Text #16
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Data Index: 1513154 (Python Code)
Max Activating Token Index: 379
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Text #17
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Data Index: 1366165 (Python Code)
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Text #18
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Data Index: 179813 (C4 (Web Text))
Max Activating Token Index: 76
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Text #19
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Data Index: 1410211 (Python Code)
Max Activating Token Index: 593
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