Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 50 in Layer 3
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1133765 (C4 (Web Text))
Max Activating Token Index: 460
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Text #1
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Data Index: 1240618 (C4 (Web Text))
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Text #2
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Data Index: 1261088 (C4 (Web Text))
Max Activating Token Index: 454
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Text #3
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Data Index: 1278958 (C4 (Web Text))
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Text #4
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Data Index: 1301966 (C4 (Web Text))
Max Activating Token Index: 345
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Text #5
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Text #6
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Data Index: 351734 (C4 (Web Text))
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Text #7
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Data Index: 157683 (C4 (Web Text))
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Text #8
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Data Index: 866887 (C4 (Web Text))
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Text #9
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Data Index: 1038284 (C4 (Web Text))
Max Activating Token Index: 868
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Text #10
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Data Index: 602446 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 1170981 (C4 (Web Text))
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Text #13
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Data Index: 361500 (C4 (Web Text))
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Text #14
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Data Index: 883243 (C4 (Web Text))
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Text #15
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Data Index: 465210 (C4 (Web Text))
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Text #16
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Data Index: 729538 (C4 (Web Text))
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Text #17
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Data Index: 392893 (C4 (Web Text))
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Text #18
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Data Index: 470856 (C4 (Web Text))
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Text #19
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Data Index: 500469 (C4 (Web Text))
Max Activating Token Index: 915
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