Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 58 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 319166 (C4 (Web Text))
Max Activating Token Index: 58
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Text #1
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Data Index: 774226 (C4 (Web Text))
Max Activating Token Index: 916
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Text #2
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Data Index: 1264274 (C4 (Web Text))
Max Activating Token Index: 327
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Text #3
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Data Index: 1169588 (C4 (Web Text))
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Text #4
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Data Index: 742522 (C4 (Web Text))
Max Activating Token Index: 661
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Text #5
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Data Index: 989481 (C4 (Web Text))
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Text #6
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Data Index: 694483 (C4 (Web Text))
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Text #7
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Data Index: 321764 (C4 (Web Text))
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Text #8
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Data Index: 569752 (C4 (Web Text))
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Text #9
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Data Index: 397792 (C4 (Web Text))
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Text #10
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Data Index: 984076 (C4 (Web Text))
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Text #11
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Data Index: 1500293 (Python Code)
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Text #12
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Data Index: 338973 (C4 (Web Text))
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Text #13
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Data Index: 67020 (C4 (Web Text))
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Text #14
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Data Index: 1186815 (C4 (Web Text))
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Text #15
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Data Index: 226982 (C4 (Web Text))
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Text #16
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Data Index: 1303922 (C4 (Web Text))
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Text #17
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Data Index: 58568 (C4 (Web Text))
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Text #18
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Data Index: 137226 (C4 (Web Text))
Max Activating Token Index: 803
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Text #19
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Data Index: 1620776 (Python Code)
Max Activating Token Index: 647
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