Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1104 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 370544 (C4 (Web Text))
Max Activating Token Index: 162
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Text #1
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Data Index: 224890 (C4 (Web Text))
Max Activating Token Index: 227
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Text #2
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Data Index: 836082 (C4 (Web Text))
Max Activating Token Index: 284
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Text #3
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Data Index: 1128722 (C4 (Web Text))
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Text #4
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Data Index: 25351 (C4 (Web Text))
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Text #5
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Data Index: 328827 (C4 (Web Text))
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Text #6
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Data Index: 566622 (C4 (Web Text))
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Text #7
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Data Index: 77488 (C4 (Web Text))
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Text #8
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Data Index: 940977 (C4 (Web Text))
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Text #9
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Data Index: 963744 (C4 (Web Text))
Max Activating Token Index: 117
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Text #10
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Data Index: 1247141 (C4 (Web Text))
Max Activating Token Index: 156
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Text #11
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Data Index: 379678 (C4 (Web Text))
Max Activating Token Index: 321
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Text #12
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Data Index: 313069 (C4 (Web Text))
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Text #13
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Data Index: 119481 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1212013 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 146550 (C4 (Web Text))
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Text #18
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Data Index: 998782 (C4 (Web Text))
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Text #19
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Max Act: 3.9256. Min Act: -0.1700
Data Index: 487731 (C4 (Web Text))
Max Activating Token Index: 137
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