Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1916 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 1602448 (Python Code)
Max Activating Token Index: 649
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Full Text #0
Text #1
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Data Index: 231168 (C4 (Web Text))
Max Activating Token Index: 585
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Text #2
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Data Index: 1071436 (C4 (Web Text))
Max Activating Token Index: 444
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Text #3
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Data Index: 776835 (C4 (Web Text))
Max Activating Token Index: 235
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Text #4
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Data Index: 431315 (C4 (Web Text))
Max Activating Token Index: 611
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Text #5
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Data Index: 555683 (C4 (Web Text))
Max Activating Token Index: 441
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Text #6
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Data Index: 400293 (C4 (Web Text))
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Text #7
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Data Index: 1339338 (C4 (Web Text))
Max Activating Token Index: 636
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Text #8
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Data Index: 1359868 (Python Code)
Max Activating Token Index: 370
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Text #9
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Data Index: 1025158 (C4 (Web Text))
Max Activating Token Index: 710
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Text #10
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Data Index: 356175 (C4 (Web Text))
Max Activating Token Index: 911
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Text #11
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Data Index: 1109141 (C4 (Web Text))
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Text #12
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Data Index: 646088 (C4 (Web Text))
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Text #13
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Data Index: 124043 (C4 (Web Text))
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Text #14
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Data Index: 1168982 (C4 (Web Text))
Max Activating Token Index: 423
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Text #15
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Data Index: 559099 (C4 (Web Text))
Max Activating Token Index: 379
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Text #16
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Data Index: 441106 (C4 (Web Text))
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Text #17
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Data Index: 1065670 (C4 (Web Text))
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Text #18
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Data Index: 790536 (C4 (Web Text))
Max Activating Token Index: 862
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Text #19
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Max Act: 0.0104. Min Act: -0.0005
Data Index: 1203092 (C4 (Web Text))
Max Activating Token Index: 162
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