Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1089 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0130. Min Act: -0.0004
Data Index: 258962 (C4 (Web Text))
Max Activating Token Index: 278
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Text #1
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Max Act: 0.0128. Min Act: -0.0003
Data Index: 1514764 (Python Code)
Max Activating Token Index: 427
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Text #2
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Max Act: 0.0107. Min Act: -0.0003
Data Index: 484429 (C4 (Web Text))
Max Activating Token Index: 608
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Text #3
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Max Act: 0.0103. Min Act: -0.0004
Data Index: 693801 (C4 (Web Text))
Max Activating Token Index: 696
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Text #4
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Max Act: 0.0102. Min Act: -0.0003
Data Index: 515341 (C4 (Web Text))
Max Activating Token Index: 865
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Text #5
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Data Index: 1400295 (Python Code)
Max Activating Token Index: 522
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Text #6
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Data Index: 483465 (C4 (Web Text))
Max Activating Token Index: 728
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Text #7
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Data Index: 1259404 (C4 (Web Text))
Max Activating Token Index: 405
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Text #8
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Data Index: 1047682 (C4 (Web Text))
Max Activating Token Index: 884
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Text #9
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Data Index: 870936 (C4 (Web Text))
Max Activating Token Index: 349
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Text #10
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Data Index: 1562004 (Python Code)
Max Activating Token Index: 708
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Text #11
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Data Index: 837924 (C4 (Web Text))
Max Activating Token Index: 716
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Text #12
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Data Index: 555602 (C4 (Web Text))
Max Activating Token Index: 1016
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Text #13
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Data Index: 461435 (C4 (Web Text))
Max Activating Token Index: 278
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Text #14
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Data Index: 905044 (C4 (Web Text))
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Text #15
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Data Index: 756918 (C4 (Web Text))
Max Activating Token Index: 573
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Text #16
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Max Act: 0.0095. Min Act: -0.0003
Data Index: 236354 (C4 (Web Text))
Max Activating Token Index: 350
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Text #17
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Max Act: 0.0096. Min Act: -0.0003
Data Index: 146127 (C4 (Web Text))
Max Activating Token Index: 561
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Text #18
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Max Act: 0.0096. Min Act: -0.0004
Data Index: 73148 (C4 (Web Text))
Max Activating Token Index: 698
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Text #19
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Max Act: 0.0095. Min Act: -0.0004
Data Index: 537562 (C4 (Web Text))
Max Activating Token Index: 214
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