Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2044 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 3.3522. Min Act: -0.1700
Data Index: 549794 (C4 (Web Text))
Max Activating Token Index: 223
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Text #1
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Data Index: 1329058 (C4 (Web Text))
Max Activating Token Index: 840
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Text #2
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Data Index: 1315873 (C4 (Web Text))
Max Activating Token Index: 382
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Text #3
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Data Index: 557625 (C4 (Web Text))
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Text #4
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Data Index: 810319 (C4 (Web Text))
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Text #5
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Data Index: 607406 (C4 (Web Text))
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Text #6
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Data Index: 276137 (C4 (Web Text))
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Text #7
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Data Index: 1263548 (C4 (Web Text))
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Text #8
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Data Index: 247079 (C4 (Web Text))
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Text #9
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Data Index: 116501 (C4 (Web Text))
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Text #10
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Data Index: 991478 (C4 (Web Text))
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Text #11
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Text #12
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Text #13
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Data Index: 500228 (C4 (Web Text))
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Text #14
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Data Index: 224559 (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: 815244 (C4 (Web Text))
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Text #18
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Data Index: 559938 (C4 (Web Text))
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Text #19
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Data Index: 366527 (C4 (Web Text))
Max Activating Token Index: 747
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