Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 153 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1552966 (Python Code)
Max Activating Token Index: 592
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Text #1
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Data Index: 1598634 (Python Code)
Max Activating Token Index: 779
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Text #2
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Data Index: 5078 (C4 (Web Text))
Max Activating Token Index: 445
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Text #3
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Data Index: 592458 (C4 (Web Text))
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Text #4
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Data Index: 433885 (C4 (Web Text))
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Text #5
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Data Index: 276854 (C4 (Web Text))
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Text #7
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Data Index: 889126 (C4 (Web Text))
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Text #8
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Data Index: 1253983 (C4 (Web Text))
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Text #9
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Data Index: 116683 (C4 (Web Text))
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Data Index: 669263 (C4 (Web Text))
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Text #11
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Data Index: 171603 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 651765 (C4 (Web Text))
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Text #14
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Data Index: 25205 (C4 (Web Text))
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Text #15
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Data Index: 967944 (C4 (Web Text))
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Text #16
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Data Index: 24889 (C4 (Web Text))
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Text #17
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Data Index: 1108347 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 81391 (C4 (Web Text))
Max Activating Token Index: 310
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