Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 4874 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1040947 (C4 (Web Text))
Max Activating Token Index: 369
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Text #1
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Data Index: 1187087 (C4 (Web Text))
Max Activating Token Index: 507
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Text #2
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Data Index: 1350740 (C4 (Web Text))
Max Activating Token Index: 480
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Text #3
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Data Index: 86528 (C4 (Web Text))
Max Activating Token Index: 43
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Text #4
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Data Index: 995459 (C4 (Web Text))
Max Activating Token Index: 263
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Text #5
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Data Index: 1156224 (C4 (Web Text))
Max Activating Token Index: 889
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Text #6
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Data Index: 773789 (C4 (Web Text))
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Text #7
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Data Index: 529542 (C4 (Web Text))
Max Activating Token Index: 754
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Text #8
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Data Index: 1005575 (C4 (Web Text))
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Text #9
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Data Index: 266386 (C4 (Web Text))
Max Activating Token Index: 157
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Text #10
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Data Index: 893484 (C4 (Web Text))
Max Activating Token Index: 417
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Text #11
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Data Index: 1194007 (C4 (Web Text))
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Text #12
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Data Index: 722898 (C4 (Web Text))
Max Activating Token Index: 514
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Text #13
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Data Index: 191669 (C4 (Web Text))
Max Activating Token Index: 835
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Text #14
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Data Index: 387428 (C4 (Web Text))
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Text #15
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Data Index: 901752 (C4 (Web Text))
Max Activating Token Index: 798
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Text #16
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Data Index: 1224699 (C4 (Web Text))
Max Activating Token Index: 218
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Text #17
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Data Index: 723966 (C4 (Web Text))
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Text #18
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Data Index: 384479 (C4 (Web Text))
Max Activating Token Index: 87
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Text #19
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Data Index: 376321 (C4 (Web Text))
Max Activating Token Index: 68
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