Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1652 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 608850 (C4 (Web Text))
Max Activating Token Index: 948
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Text #1
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Data Index: 759145 (C4 (Web Text))
Max Activating Token Index: 973
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Text #2
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Data Index: 1106931 (C4 (Web Text))
Max Activating Token Index: 936
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Text #3
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Data Index: 733577 (C4 (Web Text))
Max Activating Token Index: 915
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Text #4
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Data Index: 1220305 (C4 (Web Text))
Max Activating Token Index: 835
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Text #5
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Data Index: 728096 (C4 (Web Text))
Max Activating Token Index: 920
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Text #6
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Data Index: 11747 (C4 (Web Text))
Max Activating Token Index: 995
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Text #7
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Data Index: 368723 (C4 (Web Text))
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Text #8
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Data Index: 642320 (C4 (Web Text))
Max Activating Token Index: 895
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Text #9
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Data Index: 577041 (C4 (Web Text))
Max Activating Token Index: 866
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Text #10
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Data Index: 523431 (C4 (Web Text))
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Text #11
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Data Index: 1076096 (C4 (Web Text))
Max Activating Token Index: 993
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Text #12
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Data Index: 715739 (C4 (Web Text))
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Text #13
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Data Index: 804009 (C4 (Web Text))
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Text #14
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Data Index: 736918 (C4 (Web Text))
Max Activating Token Index: 984
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Text #15
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Data Index: 808748 (C4 (Web Text))
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Text #16
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Data Index: 1237304 (C4 (Web Text))
Max Activating Token Index: 970
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Text #17
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Data Index: 391065 (C4 (Web Text))
Max Activating Token Index: 896
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Text #18
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Data Index: 1208311 (C4 (Web Text))
Max Activating Token Index: 959
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Text #19
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Max Act: 0.0062. Min Act: -0.0004
Data Index: 356787 (C4 (Web Text))
Max Activating Token Index: 998
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