Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 49 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 2.8631. Min Act: -0.1700
Data Index: 383097 (C4 (Web Text))
Max Activating Token Index: 590
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Full Text #0
Text #1
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Max Act: 2.7197. Min Act: -0.1700
Data Index: 362320 (C4 (Web Text))
Max Activating Token Index: 203
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Text #2
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Data Index: 178770 (C4 (Web Text))
Max Activating Token Index: 438
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Text #3
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Max Act: 2.6396. Min Act: -0.1700
Data Index: 667188 (C4 (Web Text))
Max Activating Token Index: 901
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Text #4
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Data Index: 771015 (C4 (Web Text))
Max Activating Token Index: 445
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Text #5
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Data Index: 190430 (C4 (Web Text))
Max Activating Token Index: 800
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Text #6
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Data Index: 1267779 (C4 (Web Text))
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Text #7
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Data Index: 132121 (C4 (Web Text))
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Text #8
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Data Index: 576167 (C4 (Web Text))
Max Activating Token Index: 45
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Text #9
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Data Index: 839003 (C4 (Web Text))
Max Activating Token Index: 218
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Text #10
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Data Index: 821537 (C4 (Web Text))
Max Activating Token Index: 595
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Text #11
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Data Index: 867251 (C4 (Web Text))
Max Activating Token Index: 960
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Text #12
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Data Index: 533004 (C4 (Web Text))
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Text #13
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Data Index: 573940 (C4 (Web Text))
Max Activating Token Index: 43
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Text #14
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Data Index: 48867 (C4 (Web Text))
Max Activating Token Index: 657
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Text #15
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Data Index: 1237609 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 511835 (C4 (Web Text))
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Text #18
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Data Index: 736169 (C4 (Web Text))
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Text #19
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Data Index: 770113 (C4 (Web Text))
Max Activating Token Index: 126
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