Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1640 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1209134 (C4 (Web Text))
Max Activating Token Index: 262
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Text #1
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Data Index: 984491 (C4 (Web Text))
Max Activating Token Index: 841
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Text #2
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Data Index: 1346193 (C4 (Web Text))
Max Activating Token Index: 25
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Text #3
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Data Index: 1582146 (Python Code)
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Text #4
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Data Index: 906276 (C4 (Web Text))
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Text #5
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Data Index: 155050 (C4 (Web Text))
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Text #6
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Data Index: 535698 (C4 (Web Text))
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Text #7
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Data Index: 1312907 (C4 (Web Text))
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Text #8
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Data Index: 1656393 (Python Code)
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Text #9
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Data Index: 734878 (C4 (Web Text))
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Text #10
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Data Index: 1256094 (C4 (Web Text))
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Text #11
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Data Index: 470958 (C4 (Web Text))
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Text #12
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Data Index: 1010133 (C4 (Web Text))
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Text #13
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Data Index: 1143478 (C4 (Web Text))
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Text #14
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Data Index: 440796 (C4 (Web Text))
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Text #15
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Data Index: 629143 (C4 (Web Text))
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Text #16
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Data Index: 30070 (C4 (Web Text))
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Text #17
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Data Index: 1277433 (C4 (Web Text))
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Text #18
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Data Index: 688336 (C4 (Web Text))
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Text #19
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Data Index: 802560 (C4 (Web Text))
Max Activating Token Index: 642
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