Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1072 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1409533 (Python Code)
Max Activating Token Index: 635
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Text #1
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Data Index: 105867 (C4 (Web Text))
Max Activating Token Index: 621
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Text #2
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Data Index: 118298 (C4 (Web Text))
Max Activating Token Index: 64
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Text #3
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Data Index: 724959 (C4 (Web Text))
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Text #4
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Data Index: 514838 (C4 (Web Text))
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Text #5
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Data Index: 1178664 (C4 (Web Text))
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Text #6
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Data Index: 1611255 (Python Code)
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Text #7
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Data Index: 1294479 (C4 (Web Text))
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Text #8
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Data Index: 970060 (C4 (Web Text))
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Text #9
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Data Index: 1130183 (C4 (Web Text))
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Text #10
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Data Index: 985561 (C4 (Web Text))
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Text #11
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Data Index: 92912 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 50344 (C4 (Web Text))
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Text #14
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Data Index: 307005 (C4 (Web Text))
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Text #15
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Data Index: 1122327 (C4 (Web Text))
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Text #16
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Data Index: 227847 (C4 (Web Text))
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Text #17
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Data Index: 575875 (C4 (Web Text))
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Text #18
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Data Index: 5515 (C4 (Web Text))
Max Activating Token Index: 953
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Text #19
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Data Index: 1240867 (C4 (Web Text))
Max Activating Token Index: 781
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