Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2009 in Layer 3
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 374801 (C4 (Web Text))
Max Activating Token Index: 577
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Text #1
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Data Index: 490435 (C4 (Web Text))
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Text #2
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Data Index: 797911 (C4 (Web Text))
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Text #3
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Data Index: 937777 (C4 (Web Text))
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Text #4
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Data Index: 1457142 (Python Code)
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Text #5
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Data Index: 174976 (C4 (Web Text))
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Text #6
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Data Index: 651004 (C4 (Web Text))
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Text #7
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Data Index: 1148097 (C4 (Web Text))
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Text #8
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Data Index: 626856 (C4 (Web Text))
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Text #9
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Data Index: 65545 (C4 (Web Text))
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Text #10
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Data Index: 1007219 (C4 (Web Text))
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Text #11
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Data Index: 791195 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 1209458 (C4 (Web Text))
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Text #14
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Data Index: 841477 (C4 (Web Text))
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Text #15
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Data Index: 750359 (C4 (Web Text))
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Text #16
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Data Index: 524165 (C4 (Web Text))
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Text #17
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Data Index: 104435 (C4 (Web Text))
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Text #18
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Data Index: 918161 (C4 (Web Text))
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Text #19
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Data Index: 158892 (C4 (Web Text))
Max Activating Token Index: 865
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