Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2933 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 489336 (C4 (Web Text))
Max Activating Token Index: 207
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Text #1
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Data Index: 292524 (C4 (Web Text))
Max Activating Token Index: 849
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Text #2
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Data Index: 1241388 (C4 (Web Text))
Max Activating Token Index: 14
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Text #3
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Data Index: 166129 (C4 (Web Text))
Max Activating Token Index: 368
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Text #4
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Data Index: 979684 (C4 (Web Text))
Max Activating Token Index: 312
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Text #5
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Data Index: 804335 (C4 (Web Text))
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Text #6
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Data Index: 779901 (C4 (Web Text))
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Text #7
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Data Index: 714798 (C4 (Web Text))
Max Activating Token Index: 284
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Text #8
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Data Index: 120571 (C4 (Web Text))
Max Activating Token Index: 921
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Text #9
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Data Index: 293194 (C4 (Web Text))
Max Activating Token Index: 11
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Text #10
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Data Index: 98833 (C4 (Web Text))
Max Activating Token Index: 239
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Text #11
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Data Index: 334533 (C4 (Web Text))
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Text #12
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Data Index: 748382 (C4 (Web Text))
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Text #13
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Data Index: 337151 (C4 (Web Text))
Max Activating Token Index: 16
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Text #14
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Data Index: 187903 (C4 (Web Text))
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Text #15
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Data Index: 1285781 (C4 (Web Text))
Max Activating Token Index: 337
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Text #16
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Data Index: 60681 (C4 (Web Text))
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Text #17
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Data Index: 400013 (C4 (Web Text))
Max Activating Token Index: 385
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Text #18
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Data Index: 1175659 (C4 (Web Text))
Max Activating Token Index: 993
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Text #19
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Data Index: 678201 (C4 (Web Text))
Max Activating Token Index: 285
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