Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2035 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0538. Min Act: -0.0003
Data Index: 928607 (C4 (Web Text))
Max Activating Token Index: 796
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Text #1
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Data Index: 851901 (C4 (Web Text))
Max Activating Token Index: 408
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Full Text #1
Text #2
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Data Index: 654161 (C4 (Web Text))
Max Activating Token Index: 182
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Text #3
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Data Index: 466269 (C4 (Web Text))
Max Activating Token Index: 567
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Text #4
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Data Index: 254337 (C4 (Web Text))
Max Activating Token Index: 107
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Text #5
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Data Index: 643083 (C4 (Web Text))
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Text #6
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Data Index: 835125 (C4 (Web Text))
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Text #7
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Data Index: 296776 (C4 (Web Text))
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Text #8
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Data Index: 703866 (C4 (Web Text))
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Text #9
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Data Index: 1250770 (C4 (Web Text))
Max Activating Token Index: 123
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Text #10
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Data Index: 348242 (C4 (Web Text))
Max Activating Token Index: 399
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Text #11
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Data Index: 305946 (C4 (Web Text))
Max Activating Token Index: 333
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Text #12
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Data Index: 1218538 (C4 (Web Text))
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Text #13
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Data Index: 475823 (C4 (Web Text))
Max Activating Token Index: 794
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Text #14
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Data Index: 471596 (C4 (Web Text))
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Text #15
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Data Index: 929297 (C4 (Web Text))
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Text #16
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Data Index: 640789 (C4 (Web Text))
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Text #17
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Data Index: 464744 (C4 (Web Text))
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Text #18
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Data Index: 670865 (C4 (Web Text))
Max Activating Token Index: 350
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Text #19
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Data Index: 186345 (C4 (Web Text))
Max Activating Token Index: 691
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