Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 873 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0106. Min Act: -0.0005
Data Index: 137402 (C4 (Web Text))
Max Activating Token Index: 247
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Full Text #0
Text #1
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Max Act: 0.0101. Min Act: -0.0005
Data Index: 427152 (C4 (Web Text))
Max Activating Token Index: 1005
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Text #2
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Max Act: 0.0098. Min Act: -0.0005
Data Index: 1004975 (C4 (Web Text))
Max Activating Token Index: 56
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Text #3
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Data Index: 853029 (C4 (Web Text))
Max Activating Token Index: 502
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Text #4
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Max Act: 0.0098. Min Act: -0.0005
Data Index: 1007123 (C4 (Web Text))
Max Activating Token Index: 355
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Text #5
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Data Index: 1139724 (C4 (Web Text))
Max Activating Token Index: 398
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Text #6
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Data Index: 397770 (C4 (Web Text))
Max Activating Token Index: 395
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Text #7
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Max Act: 0.0095. Min Act: -0.0005
Data Index: 1306762 (C4 (Web Text))
Max Activating Token Index: 264
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Text #8
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Data Index: 239688 (C4 (Web Text))
Max Activating Token Index: 1005
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Text #9
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Data Index: 748897 (C4 (Web Text))
Max Activating Token Index: 28
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Text #10
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Data Index: 1559790 (Python Code)
Max Activating Token Index: 496
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Text #11
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Data Index: 458852 (C4 (Web Text))
Max Activating Token Index: 1018
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Text #12
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Data Index: 346824 (C4 (Web Text))
Max Activating Token Index: 65
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Text #13
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Data Index: 615584 (C4 (Web Text))
Max Activating Token Index: 897
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Text #14
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Data Index: 1475782 (Python Code)
Max Activating Token Index: 151
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Text #15
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Data Index: 81840 (C4 (Web Text))
Max Activating Token Index: 251
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Text #16
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Data Index: 945272 (C4 (Web Text))
Max Activating Token Index: 726
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Text #17
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Max Act: 0.0085. Min Act: -0.0005
Data Index: 1098297 (C4 (Web Text))
Max Activating Token Index: 337
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Text #18
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Max Act: 0.0083. Min Act: -0.0005
Data Index: 1043177 (C4 (Web Text))
Max Activating Token Index: 455
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Text #19
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Max Act: 0.0082. Min Act: -0.0005
Data Index: 1080133 (C4 (Web Text))
Max Activating Token Index: 829
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