Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 32 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1337119 (C4 (Web Text))
Max Activating Token Index: 645
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Text #1
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Data Index: 442664 (C4 (Web Text))
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Text #2
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Data Index: 373332 (C4 (Web Text))
Max Activating Token Index: 88
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Text #3
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Data Index: 616485 (C4 (Web Text))
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Text #4
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Data Index: 655143 (C4 (Web Text))
Max Activating Token Index: 666
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Text #5
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Data Index: 460842 (C4 (Web Text))
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Text #6
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Data Index: 1058667 (C4 (Web Text))
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Text #7
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Data Index: 623706 (C4 (Web Text))
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Text #8
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Data Index: 503191 (C4 (Web Text))
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Text #9
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Data Index: 1042783 (C4 (Web Text))
Max Activating Token Index: 951
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Text #10
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Data Index: 589022 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 137335 (C4 (Web Text))
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Text #13
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Data Index: 1346057 (C4 (Web Text))
Max Activating Token Index: 925
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Text #14
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Data Index: 1011229 (C4 (Web Text))
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Text #15
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Data Index: 767144 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 17936 (C4 (Web Text))
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Text #18
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Data Index: 631077 (C4 (Web Text))
Max Activating Token Index: 549
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Text #19
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Data Index: 851431 (C4 (Web Text))
Max Activating Token Index: 110
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