Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1295 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 838889 (C4 (Web Text))
Max Activating Token Index: 880
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Text #1
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Data Index: 237223 (C4 (Web Text))
Max Activating Token Index: 883
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Text #2
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Data Index: 1121801 (C4 (Web Text))
Max Activating Token Index: 491
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Text #3
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Data Index: 184011 (C4 (Web Text))
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Text #4
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Data Index: 1224778 (C4 (Web Text))
Max Activating Token Index: 638
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Text #5
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Text #6
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Data Index: 101119 (C4 (Web Text))
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Text #7
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Data Index: 428928 (C4 (Web Text))
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Text #8
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Data Index: 1318420 (C4 (Web Text))
Max Activating Token Index: 505
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Text #9
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Data Index: 14701 (C4 (Web Text))
Max Activating Token Index: 607
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Text #10
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Data Index: 1186322 (C4 (Web Text))
Max Activating Token Index: 662
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Text #11
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Data Index: 43720 (C4 (Web Text))
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Text #12
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Data Index: 696593 (C4 (Web Text))
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Text #13
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Data Index: 889176 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1050203 (C4 (Web Text))
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Text #16
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Data Index: 249107 (C4 (Web Text))
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Text #17
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Data Index: 1080210 (C4 (Web Text))
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Text #18
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Data Index: 153666 (C4 (Web Text))
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Text #19
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Data Index: 741664 (C4 (Web Text))
Max Activating Token Index: 648
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