Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 41 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0186. Min Act: -0.0005
Data Index: 177771 (C4 (Web Text))
Max Activating Token Index: 533
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Full Text #0
Text #1
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Data Index: 1223459 (C4 (Web Text))
Max Activating Token Index: 96
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Full Text #1
Text #2
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Data Index: 1160212 (C4 (Web Text))
Max Activating Token Index: 970
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Text #3
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Data Index: 1230298 (C4 (Web Text))
Max Activating Token Index: 695
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Text #4
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Data Index: 606492 (C4 (Web Text))
Max Activating Token Index: 569
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Text #5
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Data Index: 589941 (C4 (Web Text))
Max Activating Token Index: 594
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Text #6
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Data Index: 183734 (C4 (Web Text))
Max Activating Token Index: 41
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Text #7
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Data Index: 708683 (C4 (Web Text))
Max Activating Token Index: 383
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Text #8
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Data Index: 868590 (C4 (Web Text))
Max Activating Token Index: 429
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Text #9
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Data Index: 70832 (C4 (Web Text))
Max Activating Token Index: 450
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Full Text #9
Text #10
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Data Index: 569448 (C4 (Web Text))
Max Activating Token Index: 584
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Full Text #10
Text #11
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Data Index: 887206 (C4 (Web Text))
Max Activating Token Index: 592
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Text #12
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Data Index: 1268344 (C4 (Web Text))
Max Activating Token Index: 254
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Text #13
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Data Index: 1087425 (C4 (Web Text))
Max Activating Token Index: 456
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Text #14
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Data Index: 1428 (C4 (Web Text))
Max Activating Token Index: 487
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Text #15
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Data Index: 522058 (C4 (Web Text))
Max Activating Token Index: 743
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Text #16
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Data Index: 1111165 (C4 (Web Text))
Max Activating Token Index: 777
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Text #17
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Max Act: 0.0139. Min Act: -0.0005
Data Index: 1333614 (C4 (Web Text))
Max Activating Token Index: 58
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Text #18
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Max Act: 0.0139. Min Act: -0.0005
Data Index: 1161130 (C4 (Web Text))
Max Activating Token Index: 665
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Text #19
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Data Index: 290398 (C4 (Web Text))
Max Activating Token Index: 390
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