Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 43 in Layer 9
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 825263 (C4 (Web Text))
Max Activating Token Index: 59
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Text #1
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Data Index: 1645285 (Python Code)
Max Activating Token Index: 33
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Text #2
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Data Index: 191195 (C4 (Web Text))
Max Activating Token Index: 258
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Text #3
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Data Index: 475405 (C4 (Web Text))
Max Activating Token Index: 489
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Text #4
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Data Index: 1218738 (C4 (Web Text))
Max Activating Token Index: 705
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Text #5
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Data Index: 1217252 (C4 (Web Text))
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Text #6
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Data Index: 1460402 (Python Code)
Max Activating Token Index: 597
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Text #7
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Data Index: 1461144 (Python Code)
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Text #8
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Data Index: 1607334 (Python Code)
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Text #9
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Data Index: 176365 (C4 (Web Text))
Max Activating Token Index: 136
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Text #10
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Data Index: 1449158 (Python Code)
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Text #11
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Data Index: 1548938 (Python Code)
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Text #12
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Data Index: 228614 (C4 (Web Text))
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Text #13
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Data Index: 469324 (C4 (Web Text))
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Text #14
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Data Index: 1063947 (C4 (Web Text))
Max Activating Token Index: 153
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Text #15
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Data Index: 1065 (C4 (Web Text))
Max Activating Token Index: 926
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Text #16
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Data Index: 1137095 (C4 (Web Text))
Max Activating Token Index: 143
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Text #17
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Data Index: 1599608 (Python Code)
Max Activating Token Index: 868
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Text #18
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Data Index: 259787 (C4 (Web Text))
Max Activating Token Index: 124
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Text #19
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Data Index: 1568578 (Python Code)
Max Activating Token Index: 991
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