Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 26 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Data Index: 870336 (C4 (Web Text))
Max Activating Token Index: 757
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Text #1
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Data Index: 493479 (C4 (Web Text))
Max Activating Token Index: 538
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Full Text #1
Text #2
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Data Index: 126036 (C4 (Web Text))
Max Activating Token Index: 899
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Text #3
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Data Index: 784199 (C4 (Web Text))
Max Activating Token Index: 866
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Text #4
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Data Index: 14959 (C4 (Web Text))
Max Activating Token Index: 853
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Text #5
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Data Index: 131670 (C4 (Web Text))
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Text #6
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Data Index: 334779 (C4 (Web Text))
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Text #7
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Data Index: 1046362 (C4 (Web Text))
Max Activating Token Index: 811
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Full Text #7
Text #8
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Data Index: 1352893 (C4 (Web Text))
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Text #9
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Data Index: 397484 (C4 (Web Text))
Max Activating Token Index: 561
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Text #10
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Data Index: 1114579 (C4 (Web Text))
Max Activating Token Index: 903
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Full Text #10
Text #11
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Data Index: 989724 (C4 (Web Text))
Max Activating Token Index: 614
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Text #12
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Data Index: 1076827 (C4 (Web Text))
Max Activating Token Index: 793
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Text #13
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Data Index: 17635 (C4 (Web Text))
Max Activating Token Index: 853
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Text #14
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Data Index: 646609 (C4 (Web Text))
Max Activating Token Index: 373
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Text #15
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Data Index: 995859 (C4 (Web Text))
Max Activating Token Index: 613
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Text #16
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Data Index: 84057 (C4 (Web Text))
Max Activating Token Index: 582
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Text #17
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Data Index: 913995 (C4 (Web Text))
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Text #18
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Data Index: 579528 (C4 (Web Text))
Max Activating Token Index: 309
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Text #19
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Max Act: 0.0399. Min Act: -0.0005
Data Index: 662560 (C4 (Web Text))
Max Activating Token Index: 793
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Full Text #19