Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1390 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0083. Min Act: -0.0006
Data Index: 814496 (C4 (Web Text))
Max Activating Token Index: 621
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Text #1
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Max Act: 0.0081. Min Act: -0.0006
Data Index: 911959 (C4 (Web Text))
Max Activating Token Index: 897
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Text #2
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Data Index: 940121 (C4 (Web Text))
Max Activating Token Index: 613
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Text #3
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Max Act: 0.0080. Min Act: -0.0006
Data Index: 345832 (C4 (Web Text))
Max Activating Token Index: 470
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Text #4
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Max Act: 0.0083. Min Act: -0.0006
Data Index: 646926 (C4 (Web Text))
Max Activating Token Index: 107
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Text #5
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Data Index: 522203 (C4 (Web Text))
Max Activating Token Index: 910
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Text #6
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Data Index: 238407 (C4 (Web Text))
Max Activating Token Index: 614
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Text #7
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Data Index: 191063 (C4 (Web Text))
Max Activating Token Index: 224
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Text #8
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Data Index: 1292294 (C4 (Web Text))
Max Activating Token Index: 96
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Text #9
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Data Index: 766857 (C4 (Web Text))
Max Activating Token Index: 152
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Text #10
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Data Index: 503999 (C4 (Web Text))
Max Activating Token Index: 361
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Text #11
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Data Index: 368644 (C4 (Web Text))
Max Activating Token Index: 848
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Text #12
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Data Index: 772401 (C4 (Web Text))
Max Activating Token Index: 305
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Text #13
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Max Act: 0.0076. Min Act: -0.0006
Data Index: 1319972 (C4 (Web Text))
Max Activating Token Index: 825
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Text #14
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Data Index: 412050 (C4 (Web Text))
Max Activating Token Index: 13
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Text #15
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Data Index: 863261 (C4 (Web Text))
Max Activating Token Index: 150
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Text #16
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Max Act: 0.0077. Min Act: -0.0006
Data Index: 480254 (C4 (Web Text))
Max Activating Token Index: 983
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Text #17
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Max Act: 0.0075. Min Act: -0.0006
Data Index: 399350 (C4 (Web Text))
Max Activating Token Index: 176
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Text #18
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Max Act: 0.0080. Min Act: -0.0006
Data Index: 52508 (C4 (Web Text))
Max Activating Token Index: 913
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Text #19
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Max Act: 0.0072. Min Act: -0.0006
Data Index: 1277242 (C4 (Web Text))
Max Activating Token Index: 292
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