Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2042 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 2.7714. Min Act: -0.1700
Data Index: 863199 (C4 (Web Text))
Max Activating Token Index: 696
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Text #1
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Data Index: 136756 (C4 (Web Text))
Max Activating Token Index: 607
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Text #2
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Data Index: 939057 (C4 (Web Text))
Max Activating Token Index: 507
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Text #3
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Data Index: 800218 (C4 (Web Text))
Max Activating Token Index: 186
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Text #4
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Data Index: 131481 (C4 (Web Text))
Max Activating Token Index: 455
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Text #5
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Data Index: 70838 (C4 (Web Text))
Max Activating Token Index: 793
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Text #6
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Data Index: 1357785 (C4 (Web Text))
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Text #7
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Data Index: 303001 (C4 (Web Text))
Max Activating Token Index: 846
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Text #8
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Data Index: 500943 (C4 (Web Text))
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Text #9
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Data Index: 321075 (C4 (Web Text))
Max Activating Token Index: 341
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Text #10
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Data Index: 1137232 (C4 (Web Text))
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Text #11
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Data Index: 762743 (C4 (Web Text))
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Text #12
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Data Index: 912456 (C4 (Web Text))
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Text #13
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Data Index: 1127029 (C4 (Web Text))
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Text #14
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Data Index: 242979 (C4 (Web Text))
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Text #15
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Data Index: 932620 (C4 (Web Text))
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Text #16
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Data Index: 438333 (C4 (Web Text))
Max Activating Token Index: 177
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Text #17
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Data Index: 445293 (C4 (Web Text))
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Text #18
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Data Index: 1173296 (C4 (Web Text))
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Text #19
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Data Index: 839400 (C4 (Web Text))
Max Activating Token Index: 427
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