Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1673 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Max Act: 0.0248. Min Act: -0.0004
Data Index: 240905 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #1
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Max Act: 0.0221. Min Act: -0.0003
Data Index: 299046 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #2
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Max Act: 0.0222. Min Act: -0.0004
Data Index: 158836 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #3
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Max Act: 0.0214. Min Act: -0.0005
Data Index: 622215 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #4
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Data Index: 325093 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #5
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Data Index: 1036605 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #6
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Data Index: 755546 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #7
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Data Index: 705060 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #8
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Data Index: 199019 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #9
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Data Index: 587183 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 1469760 (Python Code)
Max Activating Token Index: 1023
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Text #11
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Data Index: 1454585 (Python Code)
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Text #12
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Data Index: 863613 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #13
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Data Index: 211372 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #14
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Data Index: 872924 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #15
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Max Act: 0.0167. Min Act: -0.0005
Data Index: 1034829 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #16
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Max Act: 0.0167. Min Act: -0.0005
Data Index: 842901 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #17
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Max Act: 0.0164. Min Act: -0.0006
Data Index: 304744 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #18
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Max Act: 0.0162. Min Act: -0.0004
Data Index: 1328149 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #19
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Max Act: 0.0162. Min Act: -0.0006
Data Index: 817896 (C4 (Web Text))
Max Activating Token Index: 1023
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