Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 12 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 378752 (C4 (Web Text))
Max Activating Token Index: 231
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Text #1
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Data Index: 597044 (C4 (Web Text))
Max Activating Token Index: 533
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Text #2
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Data Index: 446639 (C4 (Web Text))
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Text #3
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Data Index: 954595 (C4 (Web Text))
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Text #4
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Data Index: 315198 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 757481 (C4 (Web Text))
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Text #7
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Data Index: 1213474 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 36397 (C4 (Web Text))
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Text #10
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Data Index: 298568 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 549324 (C4 (Web Text))
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Text #13
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Data Index: 724536 (C4 (Web Text))
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Text #14
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Data Index: 512559 (C4 (Web Text))
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Text #15
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Data Index: 1261052 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 1298037 (C4 (Web Text))
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Text #18
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Data Index: 215189 (C4 (Web Text))
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Text #19
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Data Index: 72455 (C4 (Web Text))
Max Activating Token Index: 35
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