Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 250 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1527372 (Python Code)
Max Activating Token Index: 203
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Text #1
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Data Index: 443301 (C4 (Web Text))
Max Activating Token Index: 191
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Text #2
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Data Index: 414470 (C4 (Web Text))
Max Activating Token Index: 302
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Text #3
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Data Index: 205739 (C4 (Web Text))
Max Activating Token Index: 736
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Text #4
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Data Index: 193143 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 100071 (C4 (Web Text))
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Text #7
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Data Index: 399814 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 651134 (C4 (Web Text))
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Text #10
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Data Index: 1149438 (C4 (Web Text))
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Text #11
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Data Index: 4916 (C4 (Web Text))
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Text #12
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Data Index: 895773 (C4 (Web Text))
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Text #13
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Data Index: 610046 (C4 (Web Text))
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Text #14
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Data Index: 857794 (C4 (Web Text))
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Text #15
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Data Index: 150782 (C4 (Web Text))
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Text #16
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Data Index: 1322012 (C4 (Web Text))
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Text #17
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Data Index: 663764 (C4 (Web Text))
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Text #18
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Data Index: 230163 (C4 (Web Text))
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Text #19
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Data Index: 25967 (C4 (Web Text))
Max Activating Token Index: 715
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