Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 986 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Max Activating Token Index: 905
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Text #1
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Max Activating Token Index: 7
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Text #2
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Data Index: 368250 (C4 (Web Text))
Max Activating Token Index: 894
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Text #3
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Data Index: 138620 (C4 (Web Text))
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Text #4
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Text #5
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Text #6
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Data Index: 196149 (C4 (Web Text))
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Text #7
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Data Index: 328003 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 351478 (C4 (Web Text))
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Text #10
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Data Index: 192624 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 358596 (C4 (Web Text))
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Text #13
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Data Index: 553203 (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: 12478 (C4 (Web Text))
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