Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1837 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1229810 (C4 (Web Text))
Max Activating Token Index: 754
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Full Text #0
Text #1
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Data Index: 1115908 (C4 (Web Text))
Max Activating Token Index: 473
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Full Text #1
Text #2
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Data Index: 156089 (C4 (Web Text))
Max Activating Token Index: 523
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Text #3
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Max Act: 0.0079. Min Act: -0.0005
Data Index: 1272886 (C4 (Web Text))
Max Activating Token Index: 915
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Text #4
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Data Index: 1271656 (C4 (Web Text))
Max Activating Token Index: 468
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Text #5
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Data Index: 1101708 (C4 (Web Text))
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Text #6
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Data Index: 1214775 (C4 (Web Text))
Max Activating Token Index: 504
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Text #7
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Data Index: 917490 (C4 (Web Text))
Max Activating Token Index: 680
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Text #8
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Data Index: 992338 (C4 (Web Text))
Max Activating Token Index: 796
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Text #9
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Data Index: 976267 (C4 (Web Text))
Max Activating Token Index: 799
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Text #10
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Data Index: 799393 (C4 (Web Text))
Max Activating Token Index: 652
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Text #11
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Data Index: 590237 (C4 (Web Text))
Max Activating Token Index: 622
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Text #12
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Data Index: 449553 (C4 (Web Text))
Max Activating Token Index: 141
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Text #13
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Data Index: 1371516 (Python Code)
Max Activating Token Index: 521
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Text #14
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Data Index: 50986 (C4 (Web Text))
Max Activating Token Index: 814
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Text #15
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Max Act: 0.0072. Min Act: -0.0005
Data Index: 81759 (C4 (Web Text))
Max Activating Token Index: 961
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Text #16
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Data Index: 147618 (C4 (Web Text))
Max Activating Token Index: 668
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Text #17
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Max Act: 0.0071. Min Act: -0.0005
Data Index: 1019398 (C4 (Web Text))
Max Activating Token Index: 135
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Text #18
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Max Act: 0.0071. Min Act: -0.0005
Data Index: 1318387 (C4 (Web Text))
Max Activating Token Index: 304
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Text #19
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Max Act: 0.0072. Min Act: -0.0005
Data Index: 456326 (C4 (Web Text))
Max Activating Token Index: 934
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