Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1910 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1166591 (C4 (Web Text))
Max Activating Token Index: 557
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Text #1
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Data Index: 207477 (C4 (Web Text))
Max Activating Token Index: 106
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Text #2
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Data Index: 121724 (C4 (Web Text))
Max Activating Token Index: 411
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Text #3
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Data Index: 1258504 (C4 (Web Text))
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Text #4
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Data Index: 632906 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 222154 (C4 (Web Text))
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Text #7
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Data Index: 900764 (C4 (Web Text))
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Text #8
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Data Index: 17137 (C4 (Web Text))
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Text #9
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Data Index: 1175921 (C4 (Web Text))
Max Activating Token Index: 661
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Text #10
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Data Index: 182720 (C4 (Web Text))
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Text #11
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Data Index: 82383 (C4 (Web Text))
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Text #12
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Data Index: 80395 (C4 (Web Text))
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Text #13
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Data Index: 1269273 (C4 (Web Text))
Max Activating Token Index: 915
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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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Data Index: 593773 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 1187431 (C4 (Web Text))
Max Activating Token Index: 542
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