Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1983 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 890557 (C4 (Web Text))
Max Activating Token Index: 72
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Text #1
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Data Index: 56712 (C4 (Web Text))
Max Activating Token Index: 243
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Full Text #1
Text #2
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Data Index: 1186132 (C4 (Web Text))
Max Activating Token Index: 237
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Text #3
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Data Index: 666512 (C4 (Web Text))
Max Activating Token Index: 853
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Text #4
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Data Index: 460654 (C4 (Web Text))
Max Activating Token Index: 608
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Text #5
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Data Index: 357294 (C4 (Web Text))
Max Activating Token Index: 454
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Text #6
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Data Index: 611420 (C4 (Web Text))
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Text #7
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Data Index: 234808 (C4 (Web Text))
Max Activating Token Index: 153
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Text #8
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Data Index: 741914 (C4 (Web Text))
Max Activating Token Index: 290
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Text #9
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Data Index: 1155088 (C4 (Web Text))
Max Activating Token Index: 242
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Text #10
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Data Index: 1096893 (C4 (Web Text))
Max Activating Token Index: 909
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Text #11
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Data Index: 1266027 (C4 (Web Text))
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Text #12
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Data Index: 1158506 (C4 (Web Text))
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Text #13
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Data Index: 1076149 (C4 (Web Text))
Max Activating Token Index: 221
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Text #14
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Data Index: 755270 (C4 (Web Text))
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Text #15
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Data Index: 1310591 (C4 (Web Text))
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Text #16
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Data Index: 857151 (C4 (Web Text))
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Text #17
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Data Index: 511135 (C4 (Web Text))
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Text #18
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Data Index: 814936 (C4 (Web Text))
Max Activating Token Index: 276
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Text #19
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Max Act: 0.0098. Min Act: -0.0003
Data Index: 1167006 (C4 (Web Text))
Max Activating Token Index: 277
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