Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 582 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0178. Min Act: -0.0005
Data Index: 788389 (C4 (Web Text))
Max Activating Token Index: 801
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Text #1
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Data Index: 94770 (C4 (Web Text))
Max Activating Token Index: 107
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Text #2
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Max Act: 0.0173. Min Act: -0.0005
Data Index: 1043220 (C4 (Web Text))
Max Activating Token Index: 855
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Text #3
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Max Act: 0.0161. Min Act: -0.0005
Data Index: 353818 (C4 (Web Text))
Max Activating Token Index: 210
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Text #4
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Max Act: 0.0163. Min Act: -0.0005
Data Index: 956137 (C4 (Web Text))
Max Activating Token Index: 584
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Text #5
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Data Index: 478641 (C4 (Web Text))
Max Activating Token Index: 730
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Text #6
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Data Index: 451340 (C4 (Web Text))
Max Activating Token Index: 827
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Text #7
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Data Index: 1314235 (C4 (Web Text))
Max Activating Token Index: 751
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Text #8
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Data Index: 1584957 (Python Code)
Max Activating Token Index: 747
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Text #9
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Data Index: 166661 (C4 (Web Text))
Max Activating Token Index: 939
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Text #10
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Data Index: 773551 (C4 (Web Text))
Max Activating Token Index: 459
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Text #11
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Data Index: 618616 (C4 (Web Text))
Max Activating Token Index: 876
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Text #12
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Data Index: 1528273 (Python Code)
Max Activating Token Index: 645
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Text #13
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Max Act: 0.0153. Min Act: -0.0005
Data Index: 1163681 (C4 (Web Text))
Max Activating Token Index: 784
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Text #14
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Data Index: 535416 (C4 (Web Text))
Max Activating Token Index: 700
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Text #15
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Data Index: 1266465 (C4 (Web Text))
Max Activating Token Index: 947
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Text #16
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Max Act: 0.0156. Min Act: -0.0005
Data Index: 1211222 (C4 (Web Text))
Max Activating Token Index: 850
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Text #17
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Max Act: 0.0154. Min Act: -0.0005
Data Index: 1206839 (C4 (Web Text))
Max Activating Token Index: 214
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Text #18
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Max Act: 0.0153. Min Act: -0.0005
Data Index: 1140031 (C4 (Web Text))
Max Activating Token Index: 722
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Text #19
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Max Act: 0.0156. Min Act: -0.0005
Data Index: 582353 (C4 (Web Text))
Max Activating Token Index: 706
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