Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2863 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1131630 (C4 (Web Text))
Max Activating Token Index: 311
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Text #1
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Data Index: 383481 (C4 (Web Text))
Max Activating Token Index: 491
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Text #2
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Data Index: 1000844 (C4 (Web Text))
Max Activating Token Index: 313
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Text #3
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Data Index: 1296000 (C4 (Web Text))
Max Activating Token Index: 79
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Text #4
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Max Act: 0.0140. Min Act: -0.0003
Data Index: 509437 (C4 (Web Text))
Max Activating Token Index: 650
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Text #5
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Data Index: 144302 (C4 (Web Text))
Max Activating Token Index: 857
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Text #6
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Data Index: 1311273 (C4 (Web Text))
Max Activating Token Index: 674
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Text #7
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Data Index: 317474 (C4 (Web Text))
Max Activating Token Index: 593
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Text #8
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Data Index: 1070893 (C4 (Web Text))
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Text #9
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Data Index: 1168403 (C4 (Web Text))
Max Activating Token Index: 701
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Text #10
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Data Index: 657252 (C4 (Web Text))
Max Activating Token Index: 224
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Text #11
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Data Index: 544553 (C4 (Web Text))
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Text #12
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Data Index: 1647831 (Python Code)
Max Activating Token Index: 497
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Text #13
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Data Index: 829134 (C4 (Web Text))
Max Activating Token Index: 119
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Text #14
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Data Index: 69225 (C4 (Web Text))
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Text #15
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Data Index: 1082932 (C4 (Web Text))
Max Activating Token Index: 475
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Text #16
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Data Index: 1601805 (Python Code)
Max Activating Token Index: 830
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Text #17
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Data Index: 203392 (C4 (Web Text))
Max Activating Token Index: 293
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Text #18
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Data Index: 410650 (C4 (Web Text))
Max Activating Token Index: 496
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Text #19
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Max Act: 0.0116. Min Act: -0.0003
Data Index: 1351514 (C4 (Web Text))
Max Activating Token Index: 662
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