Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 3079 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1314495 (C4 (Web Text))
Max Activating Token Index: 512
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Text #1
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Data Index: 604771 (C4 (Web Text))
Max Activating Token Index: 627
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Text #2
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Data Index: 345553 (C4 (Web Text))
Max Activating Token Index: 249
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Text #3
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Data Index: 686526 (C4 (Web Text))
Max Activating Token Index: 324
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Text #4
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Data Index: 196798 (C4 (Web Text))
Max Activating Token Index: 200
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Text #5
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Data Index: 406098 (C4 (Web Text))
Max Activating Token Index: 864
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Text #6
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Data Index: 100964 (C4 (Web Text))
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Text #7
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Data Index: 408009 (C4 (Web Text))
Max Activating Token Index: 57
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Text #8
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Data Index: 24981 (C4 (Web Text))
Max Activating Token Index: 196
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Text #9
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Data Index: 1058237 (C4 (Web Text))
Max Activating Token Index: 171
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Text #10
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Data Index: 1050955 (C4 (Web Text))
Max Activating Token Index: 936
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Text #11
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Data Index: 270024 (C4 (Web Text))
Max Activating Token Index: 188
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Text #12
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Data Index: 1179847 (C4 (Web Text))
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Text #13
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Data Index: 1178244 (C4 (Web Text))
Max Activating Token Index: 370
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Text #14
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Data Index: 1213252 (C4 (Web Text))
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Text #15
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Data Index: 183938 (C4 (Web Text))
Max Activating Token Index: 512
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Text #16
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Data Index: 1333304 (C4 (Web Text))
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Text #17
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Data Index: 1106515 (C4 (Web Text))
Max Activating Token Index: 742
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Text #18
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Data Index: 1357964 (C4 (Web Text))
Max Activating Token Index: 395
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Text #19
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Max Act: 0.0180. Min Act: -0.0002
Data Index: 1283059 (C4 (Web Text))
Max Activating Token Index: 691
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