Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2834 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1246398 (C4 (Web Text))
Max Activating Token Index: 552
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Text #1
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Data Index: 588923 (C4 (Web Text))
Max Activating Token Index: 211
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Text #2
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Data Index: 914175 (C4 (Web Text))
Max Activating Token Index: 877
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Text #3
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Data Index: 188612 (C4 (Web Text))
Max Activating Token Index: 355
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Text #4
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Data Index: 1256638 (C4 (Web Text))
Max Activating Token Index: 260
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Text #5
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Data Index: 1218824 (C4 (Web Text))
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Text #6
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Data Index: 496564 (C4 (Web Text))
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Text #7
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Data Index: 235937 (C4 (Web Text))
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Text #8
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Data Index: 868393 (C4 (Web Text))
Max Activating Token Index: 513
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Text #9
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Data Index: 807462 (C4 (Web Text))
Max Activating Token Index: 525
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Text #10
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Data Index: 304049 (C4 (Web Text))
Max Activating Token Index: 146
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Text #11
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Data Index: 284535 (C4 (Web Text))
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Text #12
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Data Index: 104383 (C4 (Web Text))
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Text #13
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Data Index: 115886 (C4 (Web Text))
Max Activating Token Index: 557
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Text #14
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Data Index: 1289797 (C4 (Web Text))
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Text #15
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Data Index: 1020604 (C4 (Web Text))
Max Activating Token Index: 887
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Text #16
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Data Index: 203560 (C4 (Web Text))
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Text #17
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Data Index: 1267044 (C4 (Web Text))
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Text #18
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Data Index: 950055 (C4 (Web Text))
Max Activating Token Index: 752
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Text #19
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Max Act: 0.0141. Min Act: -0.0002
Data Index: 90548 (C4 (Web Text))
Max Activating Token Index: 545
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