Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1944 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.4934. Min Act: -0.1700
Data Index: 1338943 (C4 (Web Text))
Max Activating Token Index: 316
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Text #1
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Data Index: 871969 (C4 (Web Text))
Max Activating Token Index: 61
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Text #2
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Data Index: 1293213 (C4 (Web Text))
Max Activating Token Index: 597
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Text #3
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Data Index: 1118433 (C4 (Web Text))
Max Activating Token Index: 645
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Text #4
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Data Index: 148751 (C4 (Web Text))
Max Activating Token Index: 811
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Text #5
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Data Index: 466662 (C4 (Web Text))
Max Activating Token Index: 826
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Text #6
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Data Index: 1274730 (C4 (Web Text))
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Text #7
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Data Index: 427179 (C4 (Web Text))
Max Activating Token Index: 255
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Text #8
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Data Index: 245595 (C4 (Web Text))
Max Activating Token Index: 90
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Text #9
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Data Index: 1333400 (C4 (Web Text))
Max Activating Token Index: 683
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Text #10
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Data Index: 1340804 (C4 (Web Text))
Max Activating Token Index: 284
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Text #11
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Data Index: 736000 (C4 (Web Text))
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Text #12
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Data Index: 1305428 (C4 (Web Text))
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Text #13
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Data Index: 917574 (C4 (Web Text))
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Text #14
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Text #15
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Max Activating Token Index: 945
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Text #16
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Data Index: 1149299 (C4 (Web Text))
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Text #17
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Max Activating Token Index: 777
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Text #18
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Data Index: 917190 (C4 (Web Text))
Max Activating Token Index: 946
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Text #19
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Data Index: 156232 (C4 (Web Text))
Max Activating Token Index: 711
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