Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 31 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 539073 (C4 (Web Text))
Max Activating Token Index: 248
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Text #1
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Data Index: 241097 (C4 (Web Text))
Max Activating Token Index: 800
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Text #2
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Data Index: 828326 (C4 (Web Text))
Max Activating Token Index: 900
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Text #3
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Data Index: 1102393 (C4 (Web Text))
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Text #4
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Data Index: 1091515 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1120419 (C4 (Web Text))
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Text #7
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Data Index: 278219 (C4 (Web Text))
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Text #8
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Data Index: 550949 (C4 (Web Text))
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Text #9
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Data Index: 582625 (C4 (Web Text))
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Text #10
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Data Index: 1245446 (C4 (Web Text))
Max Activating Token Index: 839
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Text #11
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Text #12
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Text #13
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Data Index: 847831 (C4 (Web Text))
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Text #14
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Data Index: 553166 (C4 (Web Text))
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Text #15
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Data Index: 128658 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 134164 (C4 (Web Text))
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Text #18
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Data Index: 516763 (C4 (Web Text))
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Text #19
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Data Index: 687023 (C4 (Web Text))
Max Activating Token Index: 622
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