Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 8 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0361. Min Act: -0.0002
Data Index: 374394 (C4 (Web Text))
Max Activating Token Index: 570
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Full Text #0
Text #1
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Max Act: 0.0297. Min Act: -0.0003
Data Index: 509802 (C4 (Web Text))
Max Activating Token Index: 512
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Full Text #1
Text #2
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Data Index: 471466 (C4 (Web Text))
Max Activating Token Index: 384
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Text #3
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Data Index: 634399 (C4 (Web Text))
Max Activating Token Index: 831
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Text #4
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Data Index: 68430 (C4 (Web Text))
Max Activating Token Index: 355
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Text #5
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Data Index: 695818 (C4 (Web Text))
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Text #6
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Data Index: 779247 (C4 (Web Text))
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Text #7
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Data Index: 374749 (C4 (Web Text))
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Text #8
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Data Index: 492432 (C4 (Web Text))
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Full Text #8
Text #9
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Data Index: 432760 (C4 (Web Text))
Max Activating Token Index: 482
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Text #10
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Data Index: 444637 (C4 (Web Text))
Max Activating Token Index: 779
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Full Text #10
Text #11
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Data Index: 396256 (C4 (Web Text))
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Text #12
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Data Index: 437553 (C4 (Web Text))
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Text #13
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Data Index: 956690 (C4 (Web Text))
Max Activating Token Index: 825
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Text #14
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Data Index: 1214178 (C4 (Web Text))
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Text #15
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Data Index: 436260 (C4 (Web Text))
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Text #16
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Data Index: 957795 (C4 (Web Text))
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Text #17
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Data Index: 13901 (C4 (Web Text))
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Text #18
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Data Index: 426012 (C4 (Web Text))
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Text #19
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Data Index: 651844 (C4 (Web Text))
Max Activating Token Index: 512
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