Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 795 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0205. Min Act: -0.0005
Data Index: 1097480 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #1
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Max Act: 0.0161. Min Act: -0.0005
Data Index: 987149 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #2
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Max Act: 0.0156. Min Act: -0.0005
Data Index: 881561 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #3
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Max Act: 0.0144. Min Act: -0.0005
Data Index: 917218 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #4
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Data Index: 1088488 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #5
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Data Index: 615807 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #6
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Data Index: 233888 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #7
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Data Index: 1263856 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #8
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Data Index: 258965 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #9
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Data Index: 54388 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 1019043 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #11
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Data Index: 1554880 (Python Code)
Max Activating Token Index: 1023
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Text #12
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Data Index: 551504 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #13
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Data Index: 211763 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #14
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Data Index: 871572 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #15
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Data Index: 459847 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #16
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Data Index: 1344598 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #17
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Max Act: 0.0116. Min Act: -0.0004
Data Index: 1278174 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #18
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Max Act: 0.0117. Min Act: -0.0005
Data Index: 1448912 (Python Code)
Max Activating Token Index: 1023
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Text #19
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Max Act: 0.0117. Min Act: -0.0005
Data Index: 974521 (C4 (Web Text))
Max Activating Token Index: 1023
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