Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 873 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 296862 (C4 (Web Text))
Max Activating Token Index: 757
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Text #1
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Data Index: 672917 (C4 (Web Text))
Max Activating Token Index: 1003
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Text #2
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Max Act: 0.0194. Min Act: -0.0004
Data Index: 97655 (C4 (Web Text))
Max Activating Token Index: 347
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Text #3
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Max Act: 0.0200. Min Act: -0.0004
Data Index: 1546932 (Python Code)
Max Activating Token Index: 430
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Text #4
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Data Index: 1035861 (C4 (Web Text))
Max Activating Token Index: 930
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Text #5
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Data Index: 446385 (C4 (Web Text))
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Text #6
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Data Index: 1330437 (C4 (Web Text))
Max Activating Token Index: 818
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Text #7
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Data Index: 282114 (C4 (Web Text))
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Text #8
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Data Index: 630336 (C4 (Web Text))
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Text #9
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Data Index: 127829 (C4 (Web Text))
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Text #10
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Data Index: 61484 (C4 (Web Text))
Max Activating Token Index: 259
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Text #11
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Data Index: 1442176 (Python Code)
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Text #12
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Data Index: 780495 (C4 (Web Text))
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Text #13
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Data Index: 639205 (C4 (Web Text))
Max Activating Token Index: 818
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Text #14
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Data Index: 715918 (C4 (Web Text))
Max Activating Token Index: 834
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Text #15
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Data Index: 1286059 (C4 (Web Text))
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Text #16
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Data Index: 530760 (C4 (Web Text))
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Text #17
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Data Index: 984682 (C4 (Web Text))
Max Activating Token Index: 805
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Text #18
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Data Index: 1230738 (C4 (Web Text))
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Text #19
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Max Act: 0.0178. Min Act: -0.0004
Data Index: 180015 (C4 (Web Text))
Max Activating Token Index: 352
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