Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 340 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 208458 (C4 (Web Text))
Max Activating Token Index: 871
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Text #1
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Data Index: 1229642 (C4 (Web Text))
Max Activating Token Index: 430
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Text #2
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Data Index: 1215884 (C4 (Web Text))
Max Activating Token Index: 574
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Text #3
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Data Index: 1614786 (Python Code)
Max Activating Token Index: 391
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Text #4
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Data Index: 39793 (C4 (Web Text))
Max Activating Token Index: 669
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Text #5
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Data Index: 114543 (C4 (Web Text))
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Text #6
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Data Index: 803778 (C4 (Web Text))
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Text #7
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Data Index: 1441179 (Python Code)
Max Activating Token Index: 414
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Text #8
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Data Index: 1084575 (C4 (Web Text))
Max Activating Token Index: 485
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Text #9
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Data Index: 1626833 (Python Code)
Max Activating Token Index: 168
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Text #10
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Data Index: 1617610 (Python Code)
Max Activating Token Index: 975
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Text #11
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Data Index: 1517771 (Python Code)
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Text #12
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Data Index: 707728 (C4 (Web Text))
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Text #13
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Data Index: 1451559 (Python Code)
Max Activating Token Index: 973
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Text #14
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Data Index: 327056 (C4 (Web Text))
Max Activating Token Index: 631
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Text #15
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Data Index: 165122 (C4 (Web Text))
Max Activating Token Index: 773
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Text #16
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Data Index: 552065 (C4 (Web Text))
Max Activating Token Index: 656
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Text #17
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Data Index: 1212757 (C4 (Web Text))
Max Activating Token Index: 1000
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Text #18
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Data Index: 300807 (C4 (Web Text))
Max Activating Token Index: 535
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Text #19
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Data Index: 95705 (C4 (Web Text))
Max Activating Token Index: 748
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