Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 753 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0107. Min Act: -0.0004
Data Index: 192868 (C4 (Web Text))
Max Activating Token Index: 740
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Text #1
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Max Act: 0.0104. Min Act: -0.0003
Data Index: 933828 (C4 (Web Text))
Max Activating Token Index: 857
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Text #2
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Data Index: 365896 (C4 (Web Text))
Max Activating Token Index: 138
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Text #3
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Data Index: 1012569 (C4 (Web Text))
Max Activating Token Index: 94
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Text #4
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Max Act: 0.0100. Min Act: -0.0003
Data Index: 949899 (C4 (Web Text))
Max Activating Token Index: 995
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Text #5
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Data Index: 1295185 (C4 (Web Text))
Max Activating Token Index: 1000
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Text #6
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Data Index: 491249 (C4 (Web Text))
Max Activating Token Index: 981
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Text #7
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Data Index: 436033 (C4 (Web Text))
Max Activating Token Index: 903
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Text #8
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Data Index: 957840 (C4 (Web Text))
Max Activating Token Index: 43
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Text #9
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Data Index: 256550 (C4 (Web Text))
Max Activating Token Index: 89
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Text #10
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Data Index: 957046 (C4 (Web Text))
Max Activating Token Index: 178
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Text #11
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Data Index: 6593 (C4 (Web Text))
Max Activating Token Index: 593
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Text #12
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Data Index: 979431 (C4 (Web Text))
Max Activating Token Index: 861
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Text #13
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Data Index: 1122153 (C4 (Web Text))
Max Activating Token Index: 116
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Text #14
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Data Index: 552816 (C4 (Web Text))
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Text #15
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Data Index: 1196373 (C4 (Web Text))
Max Activating Token Index: 701
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Text #16
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Data Index: 86831 (C4 (Web Text))
Max Activating Token Index: 165
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Text #17
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Max Act: 0.0095. Min Act: -0.0003
Data Index: 1042950 (C4 (Web Text))
Max Activating Token Index: 165
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Text #18
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Max Act: 0.0096. Min Act: -0.0004
Data Index: 679615 (C4 (Web Text))
Max Activating Token Index: 875
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Text #19
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Max Act: 0.0095. Min Act: -0.0003
Data Index: 343634 (C4 (Web Text))
Max Activating Token Index: 925
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