Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 10 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 1331061 (C4 (Web Text))
Max Activating Token Index: 237
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Text #1
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Data Index: 840564 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #2
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Data Index: 952960 (C4 (Web Text))
Max Activating Token Index: 268
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Text #3
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Data Index: 883805 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #4
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Data Index: 1180396 (C4 (Web Text))
Max Activating Token Index: 314
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Text #5
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Data Index: 510171 (C4 (Web Text))
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Text #6
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Data Index: 509923 (C4 (Web Text))
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Text #7
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Data Index: 1175333 (C4 (Web Text))
Max Activating Token Index: 567
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Text #8
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Data Index: 255559 (C4 (Web Text))
Max Activating Token Index: 692
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Text #9
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Data Index: 1317784 (C4 (Web Text))
Max Activating Token Index: 324
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Text #10
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Data Index: 970836 (C4 (Web Text))
Max Activating Token Index: 396
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Full Text #10
Text #11
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Data Index: 969860 (C4 (Web Text))
Max Activating Token Index: 812
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Text #12
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Data Index: 459697 (C4 (Web Text))
Max Activating Token Index: 910
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Text #13
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Data Index: 41749 (C4 (Web Text))
Max Activating Token Index: 202
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Text #14
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Data Index: 301096 (C4 (Web Text))
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Text #15
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Data Index: 1322793 (C4 (Web Text))
Max Activating Token Index: 896
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Text #16
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Data Index: 747550 (C4 (Web Text))
Max Activating Token Index: 904
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Text #17
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Data Index: 1058640 (C4 (Web Text))
Max Activating Token Index: 329
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Text #18
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Data Index: 1359194 (C4 (Web Text))
Max Activating Token Index: 195
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Text #19
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Max Act: 0.0136. Min Act: -0.0006
Data Index: 104744 (C4 (Web Text))
Max Activating Token Index: 878
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