Model: GPT-2 Large: 36 Layers, 5120 Neurons per Layer
Dataset: Open Web Text
Neuron 1024 in Layer 3
Transformer Lens Loading: HookedTransformer.from_pretrained('gpt2-large')
Text #0
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Data Index: 1463643 (Open Web Text)
Max Activating Token Index: 1020
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Full Text #0
Text #1
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Data Index: 1135473 (Open Web Text)
Max Activating Token Index: 898
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Full Text #1
Text #2
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Data Index: 4038406 (Open Web Text)
Max Activating Token Index: 812
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Full Text #2
Text #3
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Data Index: 5797495 (Open Web Text)
Max Activating Token Index: 4
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Text #4
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Data Index: 8180650 (Open Web Text)
Max Activating Token Index: 778
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Full Text #4
Text #5
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Data Index: 8629403 (Open Web Text)
Max Activating Token Index: 698
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Text #6
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Data Index: 6536449 (Open Web Text)
Max Activating Token Index: 877
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Full Text #6
Text #7
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Data Index: 3997221 (Open Web Text)
Max Activating Token Index: 302
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Text #8
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Data Index: 4988010 (Open Web Text)
Max Activating Token Index: 428
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Text #9
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Data Index: 7167217 (Open Web Text)
Max Activating Token Index: 764
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Full Text #9
Text #10
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Data Index: 4412740 (Open Web Text)
Max Activating Token Index: 10
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Full Text #10
Text #11
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Data Index: 6592998 (Open Web Text)
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Text #12
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Data Index: 2956550 (Open Web Text)
Max Activating Token Index: 35
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Text #13
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Data Index: 5153569 (Open Web Text)
Max Activating Token Index: 609
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Full Text #13
Text #14
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Data Index: 5745588 (Open Web Text)
Max Activating Token Index: 110
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Text #15
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Data Index: 2307031 (Open Web Text)
Max Activating Token Index: 16
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Full Text #15
Text #16
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Data Index: 932141 (Open Web Text)
Max Activating Token Index: 304
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Full Text #16
Text #17
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Data Index: 1154027 (Open Web Text)
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Text #18
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Data Index: 7343483 (Open Web Text)
Max Activating Token Index: 116
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Text #19
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Data Index: 6366100 (Open Web Text)
Max Activating Token Index: 704
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