Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 30 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 887110 (C4 (Web Text))
Max Activating Token Index: 673
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Text #1
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Data Index: 634258 (C4 (Web Text))
Max Activating Token Index: 430
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Text #2
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Data Index: 181738 (C4 (Web Text))
Max Activating Token Index: 927
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Text #3
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Data Index: 654867 (C4 (Web Text))
Max Activating Token Index: 918
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Text #4
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Data Index: 190481 (C4 (Web Text))
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Text #5
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Data Index: 555597 (C4 (Web Text))
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Text #6
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Data Index: 712188 (C4 (Web Text))
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Text #7
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Data Index: 1050695 (C4 (Web Text))
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Text #8
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Data Index: 978888 (C4 (Web Text))
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Text #9
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Data Index: 222539 (C4 (Web Text))
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Full Text #9
Text #10
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Data Index: 374110 (C4 (Web Text))
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Text #11
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Data Index: 182687 (C4 (Web Text))
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Text #12
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Data Index: 262481 (C4 (Web Text))
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Text #13
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Data Index: 1034266 (C4 (Web Text))
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Text #14
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Data Index: 743261 (C4 (Web Text))
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Text #15
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Data Index: 1277622 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 159695 (C4 (Web Text))
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Text #18
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Data Index: 1017869 (C4 (Web Text))
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Text #19
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Data Index: 393848 (C4 (Web Text))
Max Activating Token Index: 182
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