Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 903 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0087. Min Act: -0.0006
Data Index: 23711 (C4 (Web Text))
Max Activating Token Index: 885
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Text #1
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Data Index: 176668 (C4 (Web Text))
Max Activating Token Index: 903
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Text #2
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Data Index: 1080605 (C4 (Web Text))
Max Activating Token Index: 936
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Text #3
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Max Act: 0.0084. Min Act: -0.0005
Data Index: 1281360 (C4 (Web Text))
Max Activating Token Index: 660
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Text #4
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Data Index: 1154681 (C4 (Web Text))
Max Activating Token Index: 808
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Text #5
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Data Index: 65712 (C4 (Web Text))
Max Activating Token Index: 927
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Text #6
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Data Index: 856018 (C4 (Web Text))
Max Activating Token Index: 940
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Text #7
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Data Index: 361551 (C4 (Web Text))
Max Activating Token Index: 894
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Text #8
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Data Index: 902968 (C4 (Web Text))
Max Activating Token Index: 897
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Text #9
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Data Index: 918205 (C4 (Web Text))
Max Activating Token Index: 925
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Text #10
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Data Index: 368786 (C4 (Web Text))
Max Activating Token Index: 907
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Text #11
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Data Index: 1213685 (C4 (Web Text))
Max Activating Token Index: 976
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Text #12
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Data Index: 1117775 (C4 (Web Text))
Max Activating Token Index: 978
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Text #13
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Data Index: 157905 (C4 (Web Text))
Max Activating Token Index: 926
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Text #14
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Data Index: 1010279 (C4 (Web Text))
Max Activating Token Index: 840
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Text #15
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Data Index: 824120 (C4 (Web Text))
Max Activating Token Index: 276
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Text #16
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Data Index: 853233 (C4 (Web Text))
Max Activating Token Index: 900
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Text #17
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Max Act: 0.0080. Min Act: -0.0005
Data Index: 500071 (C4 (Web Text))
Max Activating Token Index: 895
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Text #18
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Data Index: 1295299 (C4 (Web Text))
Max Activating Token Index: 121
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Text #19
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Max Act: 0.0078. Min Act: -0.0005
Data Index: 1191575 (C4 (Web Text))
Max Activating Token Index: 192
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