Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 4549 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Max Act: 0.0158. Min Act: -0.0002
Data Index: 178577 (C4 (Web Text))
Max Activating Token Index: 31
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Text #1
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Data Index: 326478 (C4 (Web Text))
Max Activating Token Index: 53
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Text #2
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Data Index: 761481 (C4 (Web Text))
Max Activating Token Index: 577
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Text #3
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Data Index: 565836 (C4 (Web Text))
Max Activating Token Index: 35
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Text #4
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Data Index: 1192944 (C4 (Web Text))
Max Activating Token Index: 44
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Text #5
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Data Index: 678981 (C4 (Web Text))
Max Activating Token Index: 654
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Text #6
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Data Index: 692348 (C4 (Web Text))
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Text #7
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Data Index: 1157506 (C4 (Web Text))
Max Activating Token Index: 225
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Text #8
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Data Index: 1201580 (C4 (Web Text))
Max Activating Token Index: 225
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Text #9
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Data Index: 1026130 (C4 (Web Text))
Max Activating Token Index: 57
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Text #10
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Data Index: 778725 (C4 (Web Text))
Max Activating Token Index: 4
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Text #11
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Data Index: 829697 (C4 (Web Text))
Max Activating Token Index: 678
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Text #12
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Data Index: 639439 (C4 (Web Text))
Max Activating Token Index: 498
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Text #13
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Data Index: 1104506 (C4 (Web Text))
Max Activating Token Index: 295
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Text #14
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Data Index: 1106411 (C4 (Web Text))
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Text #15
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Data Index: 383661 (C4 (Web Text))
Max Activating Token Index: 54
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Text #16
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Data Index: 1105250 (C4 (Web Text))
Max Activating Token Index: 254
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Text #17
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Max Act: 0.0132. Min Act: -0.0002
Data Index: 682689 (C4 (Web Text))
Max Activating Token Index: 336
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Text #18
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Max Act: 0.0132. Min Act: -0.0002
Data Index: 661608 (C4 (Web Text))
Max Activating Token Index: 29
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Text #19
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Data Index: 1035141 (C4 (Web Text))
Max Activating Token Index: 51
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