Model: SoLU Model: 12 Layers, 6144 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 6103 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')
Text #0
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Max Act: 0.0518. Min Act: -0.0002
Data Index: 1058856 (C4 (Web Text))
Max Activating Token Index: 993
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Full Text #0
Text #1
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Data Index: 42196 (C4 (Web Text))
Max Activating Token Index: 566
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Full Text #1
Text #2
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Max Act: 0.0442. Min Act: -0.0002
Data Index: 105190 (C4 (Web Text))
Max Activating Token Index: 27
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Full Text #2
Text #3
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Data Index: 1142319 (C4 (Web Text))
Max Activating Token Index: 407
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Full Text #3
Text #4
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Data Index: 480920 (C4 (Web Text))
Max Activating Token Index: 430
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Full Text #4
Text #5
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Data Index: 789968 (C4 (Web Text))
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Text #6
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Data Index: 311189 (C4 (Web Text))
Max Activating Token Index: 351
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Full Text #6
Text #7
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Data Index: 620013 (C4 (Web Text))
Max Activating Token Index: 709
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Full Text #7
Text #8
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Data Index: 467058 (C4 (Web Text))
Max Activating Token Index: 57
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Text #9
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Data Index: 670734 (C4 (Web Text))
Max Activating Token Index: 284
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Full Text #9
Text #10
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Data Index: 516013 (C4 (Web Text))
Max Activating Token Index: 641
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Full Text #10
Text #11
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Data Index: 168415 (C4 (Web Text))
Max Activating Token Index: 667
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Full Text #11
Text #12
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Data Index: 844287 (C4 (Web Text))
Max Activating Token Index: 31
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Full Text #12
Text #13
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Data Index: 287988 (C4 (Web Text))
Max Activating Token Index: 395
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Full Text #13
Text #14
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Data Index: 906811 (C4 (Web Text))
Max Activating Token Index: 44
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Full Text #14
Text #15
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Data Index: 1588145 (Python Code)
Max Activating Token Index: 955
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Full Text #15
Text #16
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Data Index: 179900 (C4 (Web Text))
Max Activating Token Index: 388
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Full Text #16
Text #17
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Max Act: 0.0402. Min Act: -0.0002
Data Index: 1244979 (C4 (Web Text))
Max Activating Token Index: 98
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Full Text #17
Text #18
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Data Index: 848632 (C4 (Web Text))
Max Activating Token Index: 360
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Full Text #18
Text #19
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Max Act: 0.0394. Min Act: -0.0002
Data Index: 904662 (C4 (Web Text))
Max Activating Token Index: 665
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Full Text #19