Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1009 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
Max Range: 2.7743. Min Range: -2.7743
Max Act: 2.7743. Min Act: -0.1700
Data Index: 443666 (C4 (Web Text))
Max Activating Token Index: 861
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Text #1
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Max Act: 2.7584. Min Act: -0.1700
Data Index: 1655044 (Python Code)
Max Activating Token Index: 823
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Text #2
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Max Act: 2.7105. Min Act: -0.1700
Data Index: 354367 (C4 (Web Text))
Max Activating Token Index: 800
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Text #3
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Data Index: 1544372 (Python Code)
Max Activating Token Index: 900
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Text #4
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Data Index: 1469123 (Python Code)
Max Activating Token Index: 910
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Text #5
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Data Index: 37829 (C4 (Web Text))
Max Activating Token Index: 156
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Text #6
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Data Index: 939139 (C4 (Web Text))
Max Activating Token Index: 169
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Text #7
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Data Index: 299391 (C4 (Web Text))
Max Activating Token Index: 759
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Text #8
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Data Index: 1139436 (C4 (Web Text))
Max Activating Token Index: 808
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Text #9
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Data Index: 1415446 (Python Code)
Max Activating Token Index: 21
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Text #10
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Data Index: 665814 (C4 (Web Text))
Max Activating Token Index: 953
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Text #11
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Data Index: 482027 (C4 (Web Text))
Max Activating Token Index: 355
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Text #12
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Data Index: 449857 (C4 (Web Text))
Max Activating Token Index: 912
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Text #13
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Data Index: 1058337 (C4 (Web Text))
Max Activating Token Index: 889
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Text #14
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Max Act: 2.6303. Min Act: -0.1700
Data Index: 294740 (C4 (Web Text))
Max Activating Token Index: 715
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Text #15
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Data Index: 1052814 (C4 (Web Text))
Max Activating Token Index: 504
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Text #16
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Data Index: 1439280 (Python Code)
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Text #17
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Data Index: 1431246 (Python Code)
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Text #18
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Data Index: 1497103 (Python Code)
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Text #19
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Data Index: 322426 (C4 (Web Text))
Max Activating Token Index: 34
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