Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1299 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.0650. Min Act: -0.1700
Data Index: 841483 (C4 (Web Text))
Max Activating Token Index: 941
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Text #1
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Data Index: 427497 (C4 (Web Text))
Max Activating Token Index: 884
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Text #2
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Data Index: 126427 (C4 (Web Text))
Max Activating Token Index: 305
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Text #3
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Data Index: 532919 (C4 (Web Text))
Max Activating Token Index: 230
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Text #4
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Data Index: 941985 (C4 (Web Text))
Max Activating Token Index: 142
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Text #5
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Data Index: 522993 (C4 (Web Text))
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Text #6
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Data Index: 1309771 (C4 (Web Text))
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Text #7
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Data Index: 1237571 (C4 (Web Text))
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Text #8
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Data Index: 1056331 (C4 (Web Text))
Max Activating Token Index: 927
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Text #9
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Data Index: 533542 (C4 (Web Text))
Max Activating Token Index: 525
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Text #10
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Data Index: 1060976 (C4 (Web Text))
Max Activating Token Index: 526
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Text #11
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Data Index: 421403 (C4 (Web Text))
Max Activating Token Index: 813
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Text #12
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Data Index: 202533 (C4 (Web Text))
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Text #13
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Data Index: 767750 (C4 (Web Text))
Max Activating Token Index: 534
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Text #14
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Data Index: 656137 (C4 (Web Text))
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Text #15
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Text #16
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Text #17
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Data Index: 901177 (C4 (Web Text))
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Text #18
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Data Index: 197537 (C4 (Web Text))
Max Activating Token Index: 974
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Text #19
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Data Index: 718081 (C4 (Web Text))
Max Activating Token Index: 930
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