Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 3019 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0450. Min Act: -0.0003
Data Index: 935352 (C4 (Web Text))
Max Activating Token Index: 814
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Text #1
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Data Index: 1213837 (C4 (Web Text))
Max Activating Token Index: 988
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Text #2
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Max Act: 0.0396. Min Act: -0.0003
Data Index: 483708 (C4 (Web Text))
Max Activating Token Index: 254
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Text #3
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Max Act: 0.0272. Min Act: -0.0003
Data Index: 1044588 (C4 (Web Text))
Max Activating Token Index: 125
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Text #4
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Max Act: 0.0218. Min Act: -0.0003
Data Index: 375857 (C4 (Web Text))
Max Activating Token Index: 860
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Text #5
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Data Index: 1323413 (C4 (Web Text))
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Text #6
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Data Index: 1601263 (Python Code)
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Text #7
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Data Index: 484890 (C4 (Web Text))
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Text #8
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Data Index: 850529 (C4 (Web Text))
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Text #9
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Data Index: 666097 (C4 (Web Text))
Max Activating Token Index: 612
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Text #10
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Data Index: 946858 (C4 (Web Text))
Max Activating Token Index: 815
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Text #11
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Data Index: 1102188 (C4 (Web Text))
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Text #12
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Data Index: 1438075 (Python Code)
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Text #13
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Data Index: 201617 (C4 (Web Text))
Max Activating Token Index: 88
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Text #14
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Data Index: 1483328 (Python Code)
Max Activating Token Index: 814
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Text #15
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Data Index: 1643779 (Python Code)
Max Activating Token Index: 685
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Text #16
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Data Index: 1148513 (C4 (Web Text))
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Text #17
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Max Act: 0.0142. Min Act: -0.0003
Data Index: 951522 (C4 (Web Text))
Max Activating Token Index: 274
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Text #18
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Max Act: 0.0141. Min Act: -0.0003
Data Index: 777643 (C4 (Web Text))
Max Activating Token Index: 684
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Text #19
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Max Act: 0.0138. Min Act: -0.0003
Data Index: 54661 (C4 (Web Text))
Max Activating Token Index: 792
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