Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 590 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0110. Min Act: -0.0004
Data Index: 395723 (C4 (Web Text))
Max Activating Token Index: 686
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Text #1
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Max Act: 0.0108. Min Act: -0.0004
Data Index: 783119 (C4 (Web Text))
Max Activating Token Index: 91
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Text #2
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Max Act: 0.0107. Min Act: -0.0005
Data Index: 465702 (C4 (Web Text))
Max Activating Token Index: 802
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Text #3
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Max Act: 0.0105. Min Act: -0.0004
Data Index: 450169 (C4 (Web Text))
Max Activating Token Index: 660
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Text #4
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Max Act: 0.0105. Min Act: -0.0004
Data Index: 642757 (C4 (Web Text))
Max Activating Token Index: 543
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Text #5
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Data Index: 1215169 (C4 (Web Text))
Max Activating Token Index: 628
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Text #6
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Data Index: 83948 (C4 (Web Text))
Max Activating Token Index: 669
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Text #7
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Data Index: 1140381 (C4 (Web Text))
Max Activating Token Index: 117
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Text #8
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Data Index: 266844 (C4 (Web Text))
Max Activating Token Index: 72
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Text #9
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Data Index: 833697 (C4 (Web Text))
Max Activating Token Index: 683
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Text #10
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Data Index: 30684 (C4 (Web Text))
Max Activating Token Index: 946
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Text #11
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Data Index: 410778 (C4 (Web Text))
Max Activating Token Index: 995
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Text #12
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Data Index: 193210 (C4 (Web Text))
Max Activating Token Index: 924
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Text #13
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Max Act: 0.0096. Min Act: -0.0004
Data Index: 644472 (C4 (Web Text))
Max Activating Token Index: 741
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Text #14
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Data Index: 1156768 (C4 (Web Text))
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Text #15
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Data Index: 1642110 (Python Code)
Max Activating Token Index: 589
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Text #16
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Data Index: 62365 (C4 (Web Text))
Max Activating Token Index: 575
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Text #17
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Data Index: 1560327 (Python Code)
Max Activating Token Index: 869
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Text #18
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Max Act: 0.0097. Min Act: -0.0004
Data Index: 975633 (C4 (Web Text))
Max Activating Token Index: 809
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Text #19
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Max Act: 0.0095. Min Act: -0.0004
Data Index: 127404 (C4 (Web Text))
Max Activating Token Index: 992
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