Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 280 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 78948 (C4 (Web Text))
Max Activating Token Index: 896
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Text #1
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Data Index: 282304 (C4 (Web Text))
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Text #2
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Data Index: 1211024 (C4 (Web Text))
Max Activating Token Index: 242
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Text #3
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Data Index: 232260 (C4 (Web Text))
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Text #4
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Data Index: 1163600 (C4 (Web Text))
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Text #5
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Data Index: 404255 (C4 (Web Text))
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Text #6
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Data Index: 892350 (C4 (Web Text))
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Text #7
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Data Index: 893965 (C4 (Web Text))
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Text #8
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Data Index: 376894 (C4 (Web Text))
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Text #9
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Data Index: 20082 (C4 (Web Text))
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Text #10
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Data Index: 770565 (C4 (Web Text))
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Text #11
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Data Index: 545578 (C4 (Web Text))
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Text #12
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Data Index: 511656 (C4 (Web Text))
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Text #13
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Data Index: 1402336 (Python Code)
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Text #14
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Data Index: 727870 (C4 (Web Text))
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Text #15
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Data Index: 1544143 (Python Code)
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Text #16
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Data Index: 281624 (C4 (Web Text))
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Text #17
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Data Index: 488393 (C4 (Web Text))
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Text #18
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Data Index: 1012562 (C4 (Web Text))
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Text #19
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Data Index: 288489 (C4 (Web Text))
Max Activating Token Index: 659
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