Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 511949 (C4 (Web Text))
Max Activating Token Index: 20
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Text #1
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Data Index: 752255 (C4 (Web Text))
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Text #2
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Data Index: 253541 (C4 (Web Text))
Max Activating Token Index: 565
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Text #3
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Data Index: 945630 (C4 (Web Text))
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Text #4
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Data Index: 168951 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 905097 (C4 (Web Text))
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Text #7
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Data Index: 775899 (C4 (Web Text))
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Text #8
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Data Index: 606286 (C4 (Web Text))
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Text #9
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Data Index: 769911 (C4 (Web Text))
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Text #10
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Data Index: 349854 (C4 (Web Text))
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Text #11
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Text #12
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Text #13
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Data Index: 895661 (C4 (Web Text))
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Text #14
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Data Index: 1237853 (C4 (Web Text))
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Text #15
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Data Index: 616886 (C4 (Web Text))
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Text #16
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Data Index: 177663 (C4 (Web Text))
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Text #17
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Data Index: 329309 (C4 (Web Text))
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Text #18
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Data Index: 620863 (C4 (Web Text))
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Text #19
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Data Index: 249291 (C4 (Web Text))
Max Activating Token Index: 476
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