Model: GPT-2 Large: 36 Layers, 5120 Neurons per Layer
Dataset: Open Web Text
Neuron 1600 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gpt2-large')
Text #0
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Data Index: 6949935 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #0
Text #1
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Data Index: 311227 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #1
Text #2
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Data Index: 2811220 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #2
Text #3
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Data Index: 6606900 (Open Web Text)
Max Activating Token Index: 1023
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Text #4
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Data Index: 207926 (Open Web Text)
Max Activating Token Index: 664
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Text #5
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Data Index: 8324978 (Open Web Text)
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Text #6
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Data Index: 4721611 (Open Web Text)
Max Activating Token Index: 1023
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Text #7
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Data Index: 1505026 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #7
Text #8
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Data Index: 6683923 (Open Web Text)
Max Activating Token Index: 648
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Full Text #8
Text #9
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Data Index: 2486029 (Open Web Text)
Max Activating Token Index: 929
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Full Text #9
Text #10
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Data Index: 2468940 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #10
Text #11
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Data Index: 4079093 (Open Web Text)
Max Activating Token Index: 1023
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Text #12
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Data Index: 6963408 (Open Web Text)
Max Activating Token Index: 949
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Text #13
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Data Index: 2855049 (Open Web Text)
Max Activating Token Index: 1023
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Full Text #13
Text #14
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Data Index: 6767448 (Open Web Text)
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Text #15
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Data Index: 2256412 (Open Web Text)
Max Activating Token Index: 1005
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Full Text #15
Text #16
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Data Index: 1229790 (Open Web Text)
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Full Text #16
Text #17
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Data Index: 3429896 (Open Web Text)
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Text #18
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Data Index: 1908829 (Open Web Text)
Max Activating Token Index: 1023
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Text #19
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Data Index: 5562496 (Open Web Text)
Max Activating Token Index: 1023
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