Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 42 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 538435 (C4 (Web Text))
Max Activating Token Index: 836
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Text #1
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Data Index: 1193059 (C4 (Web Text))
Max Activating Token Index: 725
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Text #2
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Data Index: 963548 (C4 (Web Text))
Max Activating Token Index: 135
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Text #3
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Data Index: 856578 (C4 (Web Text))
Max Activating Token Index: 278
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Text #4
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Data Index: 1151595 (C4 (Web Text))
Max Activating Token Index: 870
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Text #5
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Data Index: 596999 (C4 (Web Text))
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Text #6
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Data Index: 616463 (C4 (Web Text))
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Text #7
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Data Index: 418816 (C4 (Web Text))
Max Activating Token Index: 485
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Text #8
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Data Index: 307257 (C4 (Web Text))
Max Activating Token Index: 776
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Text #9
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Data Index: 1151928 (C4 (Web Text))
Max Activating Token Index: 135
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Text #10
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Data Index: 1051783 (C4 (Web Text))
Max Activating Token Index: 38
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Text #11
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Data Index: 1234575 (C4 (Web Text))
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Text #12
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Data Index: 1062690 (C4 (Web Text))
Max Activating Token Index: 183
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Text #13
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Data Index: 1034784 (C4 (Web Text))
Max Activating Token Index: 514
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Text #14
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Data Index: 470237 (C4 (Web Text))
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Text #15
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Data Index: 957778 (C4 (Web Text))
Max Activating Token Index: 382
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Text #16
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Data Index: 44323 (C4 (Web Text))
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Text #17
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Data Index: 316501 (C4 (Web Text))
Max Activating Token Index: 419
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Text #18
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Data Index: 929388 (C4 (Web Text))
Max Activating Token Index: 562
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Text #19
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Data Index: 40037 (C4 (Web Text))
Max Activating Token Index: 790
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