Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 94 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 872329 (C4 (Web Text))
Max Activating Token Index: 729
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Text #1
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Data Index: 646661 (C4 (Web Text))
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Text #2
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Data Index: 553771 (C4 (Web Text))
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Text #3
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Data Index: 714134 (C4 (Web Text))
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Text #4
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Data Index: 7485 (C4 (Web Text))
Max Activating Token Index: 155
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Text #5
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Text #6
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Data Index: 150995 (C4 (Web Text))
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Text #7
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Data Index: 274000 (C4 (Web Text))
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Text #8
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Data Index: 322278 (C4 (Web Text))
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Text #9
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Data Index: 254607 (C4 (Web Text))
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Text #10
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Data Index: 637070 (C4 (Web Text))
Max Activating Token Index: 896
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Text #11
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Data Index: 233482 (C4 (Web Text))
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Text #12
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Data Index: 234500 (C4 (Web Text))
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Text #13
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Data Index: 657904 (C4 (Web Text))
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Text #14
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Data Index: 59317 (C4 (Web Text))
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Text #15
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Data Index: 451842 (C4 (Web Text))
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Text #16
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Data Index: 1004506 (C4 (Web Text))
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Text #17
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Data Index: 362384 (C4 (Web Text))
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Text #18
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Data Index: 489806 (C4 (Web Text))
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Text #19
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Data Index: 1256303 (C4 (Web Text))
Max Activating Token Index: 598
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