Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1993 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 938822 (C4 (Web Text))
Max Activating Token Index: 422
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Full Text #0
Text #1
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Data Index: 63442 (C4 (Web Text))
Max Activating Token Index: 169
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Text #2
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Data Index: 491468 (C4 (Web Text))
Max Activating Token Index: 767
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Text #3
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Data Index: 740027 (C4 (Web Text))
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Text #4
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Data Index: 395600 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 433414 (C4 (Web Text))
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Text #7
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Text #8
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Data Index: 1121804 (C4 (Web Text))
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Text #9
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Max Activating Token Index: 765
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Text #10
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Data Index: 825532 (C4 (Web Text))
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Full Text #10
Text #11
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Text #12
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Text #13
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Data Index: 1015591 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 167839 (C4 (Web Text))
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Text #16
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Data Index: 1321919 (C4 (Web Text))
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Text #17
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Data Index: 602082 (C4 (Web Text))
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Text #18
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Data Index: 1276957 (C4 (Web Text))
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Text #19
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Data Index: 537137 (C4 (Web Text))
Max Activating Token Index: 630
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