Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1413 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 570880 (C4 (Web Text))
Max Activating Token Index: 1005
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Text #1
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Data Index: 411171 (C4 (Web Text))
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Text #2
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Data Index: 417295 (C4 (Web Text))
Max Activating Token Index: 737
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Text #3
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Data Index: 732056 (C4 (Web Text))
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Text #4
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Data Index: 615271 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 342164 (C4 (Web Text))
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Text #7
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Data Index: 162773 (C4 (Web Text))
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Text #8
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Data Index: 1183993 (C4 (Web Text))
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Text #9
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Data Index: 1120707 (C4 (Web Text))
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Text #10
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Data Index: 721938 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 974532 (C4 (Web Text))
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Text #13
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Data Index: 613163 (C4 (Web Text))
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Text #14
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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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Text #19
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Data Index: 688109 (C4 (Web Text))
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