Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 5116 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1182008 (C4 (Web Text))
Max Activating Token Index: 25
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Text #1
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Max Act: 0.0984. Min Act: -0.0003
Data Index: 388434 (C4 (Web Text))
Max Activating Token Index: 164
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Text #2
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Data Index: 821938 (C4 (Web Text))
Max Activating Token Index: 58
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Text #3
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Data Index: 29144 (C4 (Web Text))
Max Activating Token Index: 611
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Text #4
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Data Index: 1251700 (C4 (Web Text))
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Text #5
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Data Index: 973495 (C4 (Web Text))
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Text #6
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Data Index: 537743 (C4 (Web Text))
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Text #7
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Data Index: 275862 (C4 (Web Text))
Max Activating Token Index: 611
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Text #8
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Data Index: 1202334 (C4 (Web Text))
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Text #9
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Data Index: 512155 (C4 (Web Text))
Max Activating Token Index: 373
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Text #10
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Data Index: 104026 (C4 (Web Text))
Max Activating Token Index: 206
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Text #11
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Data Index: 1016817 (C4 (Web Text))
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Text #12
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Data Index: 1247457 (C4 (Web Text))
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Text #13
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Data Index: 460128 (C4 (Web Text))
Max Activating Token Index: 315
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Text #14
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Data Index: 562968 (C4 (Web Text))
Max Activating Token Index: 433
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Text #15
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Data Index: 20102 (C4 (Web Text))
Max Activating Token Index: 368
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Text #16
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Data Index: 397022 (C4 (Web Text))
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Text #17
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Data Index: 801823 (C4 (Web Text))
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Text #18
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Data Index: 508696 (C4 (Web Text))
Max Activating Token Index: 624
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Text #19
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Data Index: 622970 (C4 (Web Text))
Max Activating Token Index: 383
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