Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1812 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.1498. Min Act: -0.1700
Data Index: 748840 (C4 (Web Text))
Max Activating Token Index: 708
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Text #1
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Data Index: 808316 (C4 (Web Text))
Max Activating Token Index: 674
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Text #2
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Data Index: 1065858 (C4 (Web Text))
Max Activating Token Index: 402
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Text #3
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Data Index: 290087 (C4 (Web Text))
Max Activating Token Index: 957
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Text #4
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Data Index: 1493910 (Python Code)
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Text #5
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Data Index: 1222934 (C4 (Web Text))
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Text #6
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Data Index: 89449 (C4 (Web Text))
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Text #7
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Data Index: 1115080 (C4 (Web Text))
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Text #8
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Data Index: 1045766 (C4 (Web Text))
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Text #9
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Data Index: 380161 (C4 (Web Text))
Max Activating Token Index: 864
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Text #10
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Data Index: 618999 (C4 (Web Text))
Max Activating Token Index: 925
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Text #11
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Data Index: 42770 (C4 (Web Text))
Max Activating Token Index: 787
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Text #12
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Data Index: 1548495 (Python Code)
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Text #13
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Data Index: 297363 (C4 (Web Text))
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Text #14
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Data Index: 474911 (C4 (Web Text))
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Text #15
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Data Index: 1217058 (C4 (Web Text))
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Text #16
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Data Index: 941739 (C4 (Web Text))
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Text #17
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Data Index: 1052524 (C4 (Web Text))
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Text #18
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Data Index: 1343558 (C4 (Web Text))
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Text #19
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Data Index: 359307 (C4 (Web Text))
Max Activating Token Index: 424
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