Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 3054 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Max Act: 0.0248. Min Act: -0.0002
Data Index: 852316 (C4 (Web Text))
Max Activating Token Index: 148
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Text #1
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Data Index: 51366 (C4 (Web Text))
Max Activating Token Index: 140
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Text #2
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Data Index: 456870 (C4 (Web Text))
Max Activating Token Index: 770
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Text #3
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Data Index: 439742 (C4 (Web Text))
Max Activating Token Index: 618
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Text #4
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Max Act: 0.0238. Min Act: -0.0002
Data Index: 157649 (C4 (Web Text))
Max Activating Token Index: 99
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Text #5
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Data Index: 370650 (C4 (Web Text))
Max Activating Token Index: 663
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Text #6
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Data Index: 59996 (C4 (Web Text))
Max Activating Token Index: 246
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Text #7
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Data Index: 852975 (C4 (Web Text))
Max Activating Token Index: 311
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Text #8
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Data Index: 1152694 (C4 (Web Text))
Max Activating Token Index: 195
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Text #9
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Data Index: 1025387 (C4 (Web Text))
Max Activating Token Index: 160
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Text #10
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Data Index: 962102 (C4 (Web Text))
Max Activating Token Index: 732
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Text #11
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Data Index: 143608 (C4 (Web Text))
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Text #12
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Data Index: 1249109 (C4 (Web Text))
Max Activating Token Index: 93
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Text #13
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Data Index: 19170 (C4 (Web Text))
Max Activating Token Index: 578
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Text #14
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Data Index: 1288800 (C4 (Web Text))
Max Activating Token Index: 103
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Text #15
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Data Index: 659687 (C4 (Web Text))
Max Activating Token Index: 315
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Text #16
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Data Index: 1356720 (C4 (Web Text))
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Text #17
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Data Index: 1171318 (C4 (Web Text))
Max Activating Token Index: 252
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Text #18
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Max Act: 0.0229. Min Act: -0.0002
Data Index: 428397 (C4 (Web Text))
Max Activating Token Index: 596
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Text #19
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Max Act: 0.0228. Min Act: -0.0002
Data Index: 546338 (C4 (Web Text))
Max Activating Token Index: 355
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