Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 473 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 602549 (C4 (Web Text))
Max Activating Token Index: 872
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Text #1
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Max Act: 0.0055. Min Act: -0.0004
Data Index: 302638 (C4 (Web Text))
Max Activating Token Index: 524
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Text #2
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Max Act: 0.0053. Min Act: -0.0004
Data Index: 546971 (C4 (Web Text))
Max Activating Token Index: 635
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Text #3
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Data Index: 108499 (C4 (Web Text))
Max Activating Token Index: 264
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Text #4
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Data Index: 347509 (C4 (Web Text))
Max Activating Token Index: 547
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Text #5
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Data Index: 1566668 (Python Code)
Max Activating Token Index: 388
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Text #6
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Data Index: 1385517 (Python Code)
Max Activating Token Index: 839
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Text #7
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Data Index: 458625 (C4 (Web Text))
Max Activating Token Index: 941
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Text #8
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Data Index: 831807 (C4 (Web Text))
Max Activating Token Index: 236
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Text #9
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Data Index: 1307230 (C4 (Web Text))
Max Activating Token Index: 261
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Text #10
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Data Index: 59790 (C4 (Web Text))
Max Activating Token Index: 807
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Text #11
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Data Index: 270643 (C4 (Web Text))
Max Activating Token Index: 754
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Text #12
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Data Index: 649881 (C4 (Web Text))
Max Activating Token Index: 735
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Text #13
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Data Index: 365980 (C4 (Web Text))
Max Activating Token Index: 843
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Text #14
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Data Index: 453302 (C4 (Web Text))
Max Activating Token Index: 342
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Text #15
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Data Index: 1020918 (C4 (Web Text))
Max Activating Token Index: 593
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Text #16
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Data Index: 869060 (C4 (Web Text))
Max Activating Token Index: 300
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Text #17
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Max Act: 0.0051. Min Act: -0.0004
Data Index: 1288271 (C4 (Web Text))
Max Activating Token Index: 642
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Text #18
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Max Act: 0.0051. Min Act: -0.0004
Data Index: 798562 (C4 (Web Text))
Max Activating Token Index: 466
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Text #19
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Max Act: 0.0051. Min Act: -0.0004
Data Index: 218801 (C4 (Web Text))
Max Activating Token Index: 257
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