Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2043 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 810298 (C4 (Web Text))
Max Activating Token Index: 781
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Text #1
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Data Index: 783932 (C4 (Web Text))
Max Activating Token Index: 20
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Text #2
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Data Index: 217565 (C4 (Web Text))
Max Activating Token Index: 923
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Text #3
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Text #4
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Data Index: 589290 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 85832 (C4 (Web Text))
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Text #7
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Data Index: 1277564 (C4 (Web Text))
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Text #8
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Data Index: 765459 (C4 (Web Text))
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Text #9
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Data Index: 740558 (C4 (Web Text))
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Text #10
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Data Index: 1225262 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 819478 (C4 (Web Text))
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Text #13
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Data Index: 202415 (C4 (Web Text))
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Text #14
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Data Index: 517291 (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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Text #18
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Data Index: 441128 (C4 (Web Text))
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Text #19
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Data Index: 714623 (C4 (Web Text))
Max Activating Token Index: 825
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