Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 167 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1080075 (C4 (Web Text))
Max Activating Token Index: 209
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Text #1
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Data Index: 754749 (C4 (Web Text))
Max Activating Token Index: 202
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Text #2
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Data Index: 1015348 (C4 (Web Text))
Max Activating Token Index: 204
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Text #3
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Data Index: 881647 (C4 (Web Text))
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Text #4
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Data Index: 348857 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1339383 (C4 (Web Text))
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Text #7
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Data Index: 499837 (C4 (Web Text))
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Text #8
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Data Index: 313463 (C4 (Web Text))
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Text #9
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Data Index: 461817 (C4 (Web Text))
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Text #10
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Data Index: 1000782 (C4 (Web Text))
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Text #11
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Data Index: 146005 (C4 (Web Text))
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Text #12
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Data Index: 825778 (C4 (Web Text))
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Text #13
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Data Index: 761930 (C4 (Web Text))
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Text #14
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Data Index: 349279 (C4 (Web Text))
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Text #15
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Data Index: 558539 (C4 (Web Text))
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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: 694616 (C4 (Web Text))
Max Activating Token Index: 228
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