Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 5103 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1086462 (C4 (Web Text))
Max Activating Token Index: 105
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Text #1
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Data Index: 690451 (C4 (Web Text))
Max Activating Token Index: 95
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Text #2
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Data Index: 162434 (C4 (Web Text))
Max Activating Token Index: 202
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Text #3
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Data Index: 491436 (C4 (Web Text))
Max Activating Token Index: 197
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Text #4
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Data Index: 618755 (C4 (Web Text))
Max Activating Token Index: 963
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Text #5
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Data Index: 611327 (C4 (Web Text))
Max Activating Token Index: 382
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Text #6
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Data Index: 1141245 (C4 (Web Text))
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Text #7
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Data Index: 413878 (C4 (Web Text))
Max Activating Token Index: 328
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Text #8
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Data Index: 435701 (C4 (Web Text))
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Text #9
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Data Index: 586827 (C4 (Web Text))
Max Activating Token Index: 11
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Text #10
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Data Index: 1359143 (C4 (Web Text))
Max Activating Token Index: 712
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Text #11
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Data Index: 524948 (C4 (Web Text))
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Text #12
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Data Index: 540383 (C4 (Web Text))
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Text #13
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Data Index: 90184 (C4 (Web Text))
Max Activating Token Index: 10
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Text #14
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Data Index: 383472 (C4 (Web Text))
Max Activating Token Index: 698
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Text #15
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Data Index: 759376 (C4 (Web Text))
Max Activating Token Index: 65
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Text #16
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Data Index: 468826 (C4 (Web Text))
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Text #17
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Data Index: 620680 (C4 (Web Text))
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Text #18
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Data Index: 401116 (C4 (Web Text))
Max Activating Token Index: 584
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Text #19
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Max Act: 0.0141. Min Act: -0.0002
Data Index: 1008202 (C4 (Web Text))
Max Activating Token Index: 481
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