Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2008 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 439589 (C4 (Web Text))
Max Activating Token Index: 164
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Text #1
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Data Index: 981815 (C4 (Web Text))
Max Activating Token Index: 563
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Text #2
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Data Index: 522018 (C4 (Web Text))
Max Activating Token Index: 189
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Text #3
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Data Index: 997250 (C4 (Web Text))
Max Activating Token Index: 841
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Text #4
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Data Index: 749079 (C4 (Web Text))
Max Activating Token Index: 426
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Text #5
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Data Index: 249982 (C4 (Web Text))
Max Activating Token Index: 830
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Text #6
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Data Index: 599684 (C4 (Web Text))
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Text #7
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Data Index: 617828 (C4 (Web Text))
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Text #8
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Data Index: 702664 (C4 (Web Text))
Max Activating Token Index: 439
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Text #9
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Data Index: 522785 (C4 (Web Text))
Max Activating Token Index: 959
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Text #10
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Data Index: 965736 (C4 (Web Text))
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Text #11
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Data Index: 1296436 (C4 (Web Text))
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Text #12
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Data Index: 1219955 (C4 (Web Text))
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Text #13
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Data Index: 1207976 (C4 (Web Text))
Max Activating Token Index: 381
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Text #14
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Data Index: 65596 (C4 (Web Text))
Max Activating Token Index: 914
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Text #15
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Data Index: 1196928 (C4 (Web Text))
Max Activating Token Index: 830
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Text #16
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Data Index: 739192 (C4 (Web Text))
Max Activating Token Index: 20
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Text #17
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Data Index: 128340 (C4 (Web Text))
Max Activating Token Index: 340
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Text #18
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Data Index: 581268 (C4 (Web Text))
Max Activating Token Index: 812
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Text #19
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Data Index: 25893 (C4 (Web Text))
Max Activating Token Index: 809
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