Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1370 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0200. Min Act: -0.0006
Data Index: 1301621 (C4 (Web Text))
Max Activating Token Index: 467
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Text #1
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Max Act: 0.0201. Min Act: -0.0006
Data Index: 886032 (C4 (Web Text))
Max Activating Token Index: 506
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Text #2
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Data Index: 366291 (C4 (Web Text))
Max Activating Token Index: 104
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Text #3
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Data Index: 879789 (C4 (Web Text))
Max Activating Token Index: 996
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Text #4
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Data Index: 883667 (C4 (Web Text))
Max Activating Token Index: 253
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Text #5
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Data Index: 812344 (C4 (Web Text))
Max Activating Token Index: 467
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Text #6
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Data Index: 1354548 (C4 (Web Text))
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Text #7
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Data Index: 668710 (C4 (Web Text))
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Text #8
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Data Index: 949053 (C4 (Web Text))
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Text #9
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Data Index: 394074 (C4 (Web Text))
Max Activating Token Index: 226
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Text #10
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Data Index: 1255991 (C4 (Web Text))
Max Activating Token Index: 167
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Text #11
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Data Index: 376152 (C4 (Web Text))
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Text #12
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Data Index: 861142 (C4 (Web Text))
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Text #13
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Data Index: 1369989 (Python Code)
Max Activating Token Index: 597
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Text #14
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Data Index: 1234566 (C4 (Web Text))
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Text #15
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Data Index: 334065 (C4 (Web Text))
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Text #16
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Data Index: 1418331 (Python Code)
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Text #17
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Data Index: 83423 (C4 (Web Text))
Max Activating Token Index: 717
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Text #18
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Data Index: 900486 (C4 (Web Text))
Max Activating Token Index: 32
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Text #19
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Data Index: 910614 (C4 (Web Text))
Max Activating Token Index: 665
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