Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1980 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 346247 (C4 (Web Text))
Max Activating Token Index: 167
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Text #1
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Data Index: 46021 (C4 (Web Text))
Max Activating Token Index: 987
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Text #2
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Data Index: 1336150 (C4 (Web Text))
Max Activating Token Index: 942
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Text #3
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Data Index: 468188 (C4 (Web Text))
Max Activating Token Index: 647
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Text #4
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Data Index: 894683 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 82441 (C4 (Web Text))
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Text #7
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Data Index: 869038 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 965934 (C4 (Web Text))
Max Activating Token Index: 92
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Text #10
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Data Index: 834961 (C4 (Web Text))
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Text #11
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Text #12
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Text #13
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Data Index: 1258237 (C4 (Web Text))
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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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Text #19
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Data Index: 1215640 (C4 (Web Text))
Max Activating Token Index: 167
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