Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1314 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0118. Min Act: -0.0005
Data Index: 828605 (C4 (Web Text))
Max Activating Token Index: 599
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Full Text #0
Text #1
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Data Index: 599888 (C4 (Web Text))
Max Activating Token Index: 428
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Text #2
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Data Index: 220249 (C4 (Web Text))
Max Activating Token Index: 477
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Text #3
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Max Act: 0.0113. Min Act: -0.0005
Data Index: 1137967 (C4 (Web Text))
Max Activating Token Index: 644
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Text #4
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Max Act: 0.0112. Min Act: -0.0005
Data Index: 131290 (C4 (Web Text))
Max Activating Token Index: 769
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Text #5
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Data Index: 971238 (C4 (Web Text))
Max Activating Token Index: 450
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Text #6
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Data Index: 1048972 (C4 (Web Text))
Max Activating Token Index: 482
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Text #7
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Data Index: 817388 (C4 (Web Text))
Max Activating Token Index: 475
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Text #8
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Data Index: 1074194 (C4 (Web Text))
Max Activating Token Index: 703
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Text #9
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Data Index: 666169 (C4 (Web Text))
Max Activating Token Index: 521
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Text #10
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Data Index: 1004737 (C4 (Web Text))
Max Activating Token Index: 338
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Text #11
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Data Index: 874992 (C4 (Web Text))
Max Activating Token Index: 649
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Text #12
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Data Index: 1566398 (Python Code)
Max Activating Token Index: 495
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Text #13
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Data Index: 432739 (C4 (Web Text))
Max Activating Token Index: 331
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Text #14
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Data Index: 1568329 (Python Code)
Max Activating Token Index: 853
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Text #15
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Data Index: 772782 (C4 (Web Text))
Max Activating Token Index: 203
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Text #16
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Max Act: 0.0102. Min Act: -0.0005
Data Index: 532948 (C4 (Web Text))
Max Activating Token Index: 239
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Text #17
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Max Act: 0.0100. Min Act: -0.0005
Data Index: 551232 (C4 (Web Text))
Max Activating Token Index: 578
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Text #18
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Max Act: 0.0099. Min Act: -0.0005
Data Index: 491642 (C4 (Web Text))
Max Activating Token Index: 906
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Text #19
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Max Act: 0.0097. Min Act: -0.0005
Data Index: 250782 (C4 (Web Text))
Max Activating Token Index: 990
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