Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1646 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1366589 (Python Code)
Max Activating Token Index: 56
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Text #1
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Data Index: 842355 (C4 (Web Text))
Max Activating Token Index: 989
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Text #2
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Data Index: 323035 (C4 (Web Text))
Max Activating Token Index: 809
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Text #3
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Data Index: 968296 (C4 (Web Text))
Max Activating Token Index: 640
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Text #4
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Data Index: 907617 (C4 (Web Text))
Max Activating Token Index: 408
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Text #5
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Data Index: 70129 (C4 (Web Text))
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Text #6
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Data Index: 610808 (C4 (Web Text))
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Text #7
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Data Index: 5068 (C4 (Web Text))
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Text #8
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Data Index: 450954 (C4 (Web Text))
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Text #9
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Data Index: 1280754 (C4 (Web Text))
Max Activating Token Index: 232
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Text #10
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Data Index: 260595 (C4 (Web Text))
Max Activating Token Index: 449
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Text #11
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Data Index: 511265 (C4 (Web Text))
Max Activating Token Index: 1015
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Text #12
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Data Index: 245319 (C4 (Web Text))
Max Activating Token Index: 751
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Text #13
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Data Index: 547344 (C4 (Web Text))
Max Activating Token Index: 383
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Text #14
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Data Index: 133901 (C4 (Web Text))
Max Activating Token Index: 984
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Text #15
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Data Index: 1542542 (Python Code)
Max Activating Token Index: 667
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Text #16
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Data Index: 655935 (C4 (Web Text))
Max Activating Token Index: 640
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Text #17
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Data Index: 514782 (C4 (Web Text))
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Text #18
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Data Index: 1209084 (C4 (Web Text))
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Text #19
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Data Index: 1081947 (C4 (Web Text))
Max Activating Token Index: 644
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