Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 61 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1372066 (Python Code)
Max Activating Token Index: 374
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Text #1
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Data Index: 255474 (C4 (Web Text))
Max Activating Token Index: 326
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Text #2
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Data Index: 1258245 (C4 (Web Text))
Max Activating Token Index: 988
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Text #3
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Data Index: 176106 (C4 (Web Text))
Max Activating Token Index: 1019
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Text #4
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Data Index: 865554 (C4 (Web Text))
Max Activating Token Index: 241
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Text #5
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Data Index: 1129033 (C4 (Web Text))
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Text #6
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Data Index: 1601889 (Python Code)
Max Activating Token Index: 449
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Text #7
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Data Index: 878211 (C4 (Web Text))
Max Activating Token Index: 853
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Text #8
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Data Index: 647249 (C4 (Web Text))
Max Activating Token Index: 885
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Text #9
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Data Index: 1356225 (C4 (Web Text))
Max Activating Token Index: 880
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Text #10
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Data Index: 630630 (C4 (Web Text))
Max Activating Token Index: 873
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Text #11
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Data Index: 829942 (C4 (Web Text))
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Text #12
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Data Index: 1627183 (Python Code)
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Text #13
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Data Index: 1443487 (Python Code)
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Text #14
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Data Index: 553707 (C4 (Web Text))
Max Activating Token Index: 910
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Text #15
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Data Index: 1432013 (Python Code)
Max Activating Token Index: 387
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Text #16
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Data Index: 565552 (C4 (Web Text))
Max Activating Token Index: 812
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Text #17
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Data Index: 1241839 (C4 (Web Text))
Max Activating Token Index: 660
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Text #18
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Data Index: 1057365 (C4 (Web Text))
Max Activating Token Index: 725
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Text #19
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Max Act: 0.0106. Min Act: -0.0005
Data Index: 978264 (C4 (Web Text))
Max Activating Token Index: 603
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