Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 30 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 316881 (C4 (Web Text))
Max Activating Token Index: 246
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Text #1
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Max Act: 0.0368. Min Act: -0.0005
Data Index: 507807 (C4 (Web Text))
Max Activating Token Index: 442
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Text #2
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Max Act: 0.0260. Min Act: -0.0005
Data Index: 682823 (C4 (Web Text))
Max Activating Token Index: 915
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Text #3
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Data Index: 845299 (C4 (Web Text))
Max Activating Token Index: 998
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Text #4
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Max Act: 0.0274. Min Act: -0.0005
Data Index: 286237 (C4 (Web Text))
Max Activating Token Index: 966
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Text #5
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Data Index: 1425548 (Python Code)
Max Activating Token Index: 772
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Text #6
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Data Index: 504562 (C4 (Web Text))
Max Activating Token Index: 847
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Text #7
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Data Index: 1145184 (C4 (Web Text))
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Text #8
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Data Index: 879781 (C4 (Web Text))
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Text #9
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Data Index: 210038 (C4 (Web Text))
Max Activating Token Index: 1010
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Text #10
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Data Index: 742437 (C4 (Web Text))
Max Activating Token Index: 300
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Text #11
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Data Index: 1412980 (Python Code)
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Text #12
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Data Index: 1267479 (C4 (Web Text))
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Text #13
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Data Index: 585541 (C4 (Web Text))
Max Activating Token Index: 710
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Text #14
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Data Index: 1538202 (Python Code)
Max Activating Token Index: 978
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Text #15
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Data Index: 497799 (C4 (Web Text))
Max Activating Token Index: 985
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Text #16
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Data Index: 734670 (C4 (Web Text))
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Text #17
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Max Act: 0.0170. Min Act: -0.0005
Data Index: 537383 (C4 (Web Text))
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Text #18
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Data Index: 1612475 (Python Code)
Max Activating Token Index: 981
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Text #19
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Data Index: 770782 (C4 (Web Text))
Max Activating Token Index: 366
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