Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 4223 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Max Act: 0.0238. Min Act: -0.0002
Data Index: 461238 (C4 (Web Text))
Max Activating Token Index: 27
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Text #1
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Max Act: 0.0195. Min Act: -0.0002
Data Index: 776905 (C4 (Web Text))
Max Activating Token Index: 36
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Text #2
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Data Index: 477394 (C4 (Web Text))
Max Activating Token Index: 693
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Text #3
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Data Index: 934726 (C4 (Web Text))
Max Activating Token Index: 438
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Text #4
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Max Act: 0.0189. Min Act: -0.0002
Data Index: 65078 (C4 (Web Text))
Max Activating Token Index: 879
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Text #5
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Data Index: 423303 (C4 (Web Text))
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Text #6
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Data Index: 1025933 (C4 (Web Text))
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Text #7
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Data Index: 484600 (C4 (Web Text))
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Text #8
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Data Index: 976080 (C4 (Web Text))
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Text #9
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Data Index: 1064633 (C4 (Web Text))
Max Activating Token Index: 158
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Text #10
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Data Index: 1536640 (Python Code)
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Text #11
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Data Index: 1319442 (C4 (Web Text))
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Text #12
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Data Index: 518064 (C4 (Web Text))
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Text #13
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Data Index: 1345802 (C4 (Web Text))
Max Activating Token Index: 447
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Text #14
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Data Index: 1476667 (Python Code)
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Text #15
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Data Index: 371913 (C4 (Web Text))
Max Activating Token Index: 2
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Text #16
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Data Index: 123461 (C4 (Web Text))
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Text #17
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Data Index: 1196287 (C4 (Web Text))
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Text #18
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Data Index: 893507 (C4 (Web Text))
Max Activating Token Index: 9
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Text #19
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Data Index: 832910 (C4 (Web Text))
Max Activating Token Index: 6
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