Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 60 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1102250 (C4 (Web Text))
Max Activating Token Index: 298
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Text #1
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Data Index: 503997 (C4 (Web Text))
Max Activating Token Index: 463
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Text #2
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Data Index: 1174357 (C4 (Web Text))
Max Activating Token Index: 619
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Text #3
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Data Index: 521137 (C4 (Web Text))
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Text #4
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Data Index: 39793 (C4 (Web Text))
Max Activating Token Index: 642
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Text #5
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Data Index: 61659 (C4 (Web Text))
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Text #6
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Data Index: 1307410 (C4 (Web Text))
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Text #7
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Data Index: 442914 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 918585 (C4 (Web Text))
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Text #10
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Data Index: 558462 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 21934 (C4 (Web Text))
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Text #13
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Data Index: 1148176 (C4 (Web Text))
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Text #14
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Data Index: 560798 (C4 (Web Text))
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Text #15
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Data Index: 1159265 (C4 (Web Text))
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Text #16
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Data Index: 842485 (C4 (Web Text))
Max Activating Token Index: 486
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Text #17
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Data Index: 298918 (C4 (Web Text))
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Text #18
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Data Index: 948822 (C4 (Web Text))
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Text #19
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Data Index: 928392 (C4 (Web Text))
Max Activating Token Index: 290
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