Model: GPT-2 Large: 36 Layers, 5120 Neurons per Layer
Dataset: Open Web Text
Neuron 1989 in Layer 32
Transformer Lens Loading: HookedTransformer.from_pretrained('gpt2-large')
Text #0
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Data Index: 3889633 (Open Web Text)
Max Activating Token Index: 949
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Full Text #0
Text #1
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Data Index: 2621638 (Open Web Text)
Max Activating Token Index: 598
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Full Text #1
Text #2
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Data Index: 6647552 (Open Web Text)
Max Activating Token Index: 935
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Full Text #2
Text #3
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Data Index: 5665800 (Open Web Text)
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Full Text #3
Text #4
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Data Index: 6169796 (Open Web Text)
Max Activating Token Index: 570
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Full Text #4
Text #5
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Data Index: 693517 (Open Web Text)
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Full Text #5
Text #6
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Data Index: 8130377 (Open Web Text)
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Full Text #6
Text #7
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Data Index: 4873569 (Open Web Text)
Max Activating Token Index: 725
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Full Text #7
Text #8
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Data Index: 899352 (Open Web Text)
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Full Text #8
Text #9
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Data Index: 325433 (Open Web Text)
Max Activating Token Index: 212
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Full Text #9
Text #10
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Data Index: 462400 (Open Web Text)
Max Activating Token Index: 412
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Full Text #10
Text #11
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Data Index: 2040803 (Open Web Text)
Max Activating Token Index: 762
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Text #12
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Data Index: 1666234 (Open Web Text)
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Text #13
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Data Index: 8480537 (Open Web Text)
Max Activating Token Index: 595
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Full Text #13
Text #14
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Data Index: 1516834 (Open Web Text)
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Text #15
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Data Index: 7667482 (Open Web Text)
Max Activating Token Index: 630
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Full Text #15
Text #16
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Data Index: 18256 (Open Web Text)
Max Activating Token Index: 715
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Full Text #16
Text #17
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Data Index: 2688257 (Open Web Text)
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Text #18
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Data Index: 1998316 (Open Web Text)
Max Activating Token Index: 993
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Text #19
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Data Index: 3049387 (Open Web Text)
Max Activating Token Index: 929
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Full Text #19