Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2027 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.7688. Min Act: -0.1700
Data Index: 1134139 (C4 (Web Text))
Max Activating Token Index: 385
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Text #1
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Data Index: 520594 (C4 (Web Text))
Max Activating Token Index: 165
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Text #2
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Data Index: 407730 (C4 (Web Text))
Max Activating Token Index: 181
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Text #3
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Data Index: 681958 (C4 (Web Text))
Max Activating Token Index: 224
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Text #4
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Data Index: 369205 (C4 (Web Text))
Max Activating Token Index: 416
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Text #5
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Data Index: 1127280 (C4 (Web Text))
Max Activating Token Index: 853
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Text #6
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Data Index: 252718 (C4 (Web Text))
Max Activating Token Index: 117
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Text #7
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Data Index: 133514 (C4 (Web Text))
Max Activating Token Index: 900
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Text #8
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Data Index: 1211910 (C4 (Web Text))
Max Activating Token Index: 341
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Text #9
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Data Index: 373399 (C4 (Web Text))
Max Activating Token Index: 909
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Text #10
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Data Index: 165290 (C4 (Web Text))
Max Activating Token Index: 563
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Text #11
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Data Index: 1347022 (C4 (Web Text))
Max Activating Token Index: 436
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Text #12
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Data Index: 1073814 (C4 (Web Text))
Max Activating Token Index: 822
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Text #13
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Data Index: 1059756 (C4 (Web Text))
Max Activating Token Index: 683
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Text #14
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Data Index: 1108341 (C4 (Web Text))
Max Activating Token Index: 696
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Text #15
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Data Index: 534284 (C4 (Web Text))
Max Activating Token Index: 998
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Text #16
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Data Index: 739744 (C4 (Web Text))
Max Activating Token Index: 133
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Text #17
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Data Index: 637302 (C4 (Web Text))
Max Activating Token Index: 470
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Text #18
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Data Index: 656619 (C4 (Web Text))
Max Activating Token Index: 451
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Text #19
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Data Index: 305112 (C4 (Web Text))
Max Activating Token Index: 564
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