Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1944 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 113041 (C4 (Web Text))
Max Activating Token Index: 1023
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Full Text #0
Text #1
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Data Index: 884505 (C4 (Web Text))
Max Activating Token Index: 691
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Text #2
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Data Index: 1271602 (C4 (Web Text))
Max Activating Token Index: 942
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Text #3
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Data Index: 1192798 (C4 (Web Text))
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Text #4
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Data Index: 641476 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1011560 (C4 (Web Text))
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Text #7
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Data Index: 796130 (C4 (Web Text))
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Text #8
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Max Activating Token Index: 515
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Text #9
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Data Index: 1087909 (C4 (Web Text))
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Text #10
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Data Index: 404442 (C4 (Web Text))
Max Activating Token Index: 209
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Text #11
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Data Index: 590756 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 1040114 (C4 (Web Text))
Max Activating Token Index: 255
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Text #14
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Text #15
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Text #16
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Text #17
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Text #18
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Data Index: 10618 (C4 (Web Text))
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Text #19
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Data Index: 761863 (C4 (Web Text))
Max Activating Token Index: 1023
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