Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2035 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1639920 (Python Code)
Max Activating Token Index: 928
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Text #1
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Data Index: 1576859 (Python Code)
Max Activating Token Index: 787
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Text #2
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Max Act: 0.0039. Min Act: -0.0005
Data Index: 1467704 (Python Code)
Max Activating Token Index: 837
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Data Index: 1583082 (Python Code)
Max Activating Token Index: 813
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Text #4
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Data Index: 1456403 (Python Code)
Max Activating Token Index: 774
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Text #5
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Data Index: 1519782 (Python Code)
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Text #6
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Data Index: 443009 (C4 (Web Text))
Max Activating Token Index: 1008
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Text #7
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Data Index: 1568716 (Python Code)
Max Activating Token Index: 837
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Text #8
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Data Index: 1537016 (Python Code)
Max Activating Token Index: 972
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Text #9
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Data Index: 1527285 (Python Code)
Max Activating Token Index: 848
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Text #10
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Data Index: 1644551 (Python Code)
Max Activating Token Index: 865
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Text #11
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Data Index: 1648182 (Python Code)
Max Activating Token Index: 798
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Text #12
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Data Index: 1396137 (Python Code)
Max Activating Token Index: 826
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Text #13
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Data Index: 1383781 (Python Code)
Max Activating Token Index: 909
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Text #14
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Data Index: 1548630 (Python Code)
Max Activating Token Index: 921
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Text #15
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Data Index: 1364942 (Python Code)
Max Activating Token Index: 908
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Text #16
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Data Index: 1511271 (Python Code)
Max Activating Token Index: 786
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Text #17
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Data Index: 1620534 (Python Code)
Max Activating Token Index: 874
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Text #18
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Max Act: 0.0036. Min Act: -0.0005
Data Index: 1404998 (Python Code)
Max Activating Token Index: 865
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Text #19
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Data Index: 1627032 (Python Code)
Max Activating Token Index: 829
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