Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 473 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1038586 (C4 (Web Text))
Max Activating Token Index: 766
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Full Text #0
Text #1
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Data Index: 1329229 (C4 (Web Text))
Max Activating Token Index: 116
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Full Text #1
Text #2
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Data Index: 314204 (C4 (Web Text))
Max Activating Token Index: 787
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Text #3
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Data Index: 537449 (C4 (Web Text))
Max Activating Token Index: 847
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Text #4
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Data Index: 63722 (C4 (Web Text))
Max Activating Token Index: 490
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Text #5
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Data Index: 655970 (C4 (Web Text))
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Text #6
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Data Index: 1314071 (C4 (Web Text))
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Text #7
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Data Index: 845696 (C4 (Web Text))
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Full Text #7
Text #8
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Data Index: 311416 (C4 (Web Text))
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Text #9
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Data Index: 1290517 (C4 (Web Text))
Max Activating Token Index: 787
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Full Text #9
Text #10
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Data Index: 1091521 (C4 (Web Text))
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Full Text #10
Text #11
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Data Index: 223138 (C4 (Web Text))
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Text #12
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Data Index: 1257843 (C4 (Web Text))
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Text #13
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Data Index: 1435307 (Python Code)
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Text #14
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Data Index: 1564852 (Python Code)
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Text #15
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Data Index: 186849 (C4 (Web Text))
Max Activating Token Index: 774
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Full Text #15
Text #16
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Data Index: 1317175 (C4 (Web Text))
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Text #17
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Data Index: 165309 (C4 (Web Text))
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Text #18
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Data Index: 478599 (C4 (Web Text))
Max Activating Token Index: 1016
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Text #19
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Max Act: 0.0498. Min Act: -0.0003
Data Index: 718807 (C4 (Web Text))
Max Activating Token Index: 590
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Full Text #19