Model: SoLU Model: 6 Layers, 3072 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 68 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')
Text #0
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Max Act: 0.0175. Min Act: -0.0003
Data Index: 771854 (C4 (Web Text))
Max Activating Token Index: 204
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Text #1
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Max Act: 0.0153. Min Act: -0.0003
Data Index: 975724 (C4 (Web Text))
Max Activating Token Index: 251
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Text #2
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Data Index: 1599812 (Python Code)
Max Activating Token Index: 286
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Text #3
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Data Index: 1563218 (Python Code)
Max Activating Token Index: 459
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Text #4
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Max Act: 0.0134. Min Act: -0.0003
Data Index: 812580 (C4 (Web Text))
Max Activating Token Index: 680
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Text #5
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Data Index: 279036 (C4 (Web Text))
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Text #6
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Data Index: 1204371 (C4 (Web Text))
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Text #7
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Data Index: 1148666 (C4 (Web Text))
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Text #8
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Data Index: 939612 (C4 (Web Text))
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Text #9
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Data Index: 718647 (C4 (Web Text))
Max Activating Token Index: 448
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Text #10
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Data Index: 613169 (C4 (Web Text))
Max Activating Token Index: 247
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Text #11
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Data Index: 996115 (C4 (Web Text))
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Text #12
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Data Index: 1165465 (C4 (Web Text))
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Text #13
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Data Index: 507137 (C4 (Web Text))
Max Activating Token Index: 79
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Text #14
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Data Index: 1313298 (C4 (Web Text))
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Text #15
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Data Index: 479463 (C4 (Web Text))
Max Activating Token Index: 387
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Text #16
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Data Index: 1234081 (C4 (Web Text))
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Text #17
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Data Index: 929574 (C4 (Web Text))
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Text #18
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Data Index: 732499 (C4 (Web Text))
Max Activating Token Index: 4
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Text #19
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Data Index: 1079392 (C4 (Web Text))
Max Activating Token Index: 7
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