Model: GELU Model: 2 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-2l')
Text #0
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Data Index: 504022 (C4 (Web Text))
Max Activating Token Index: 1018
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Text #1
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Data Index: 1320307 (C4 (Web Text))
Max Activating Token Index: 834
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Text #2
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Data Index: 925535 (C4 (Web Text))
Max Activating Token Index: 245
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Text #3
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Data Index: 595978 (C4 (Web Text))
Max Activating Token Index: 921
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Text #4
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Data Index: 1156983 (C4 (Web Text))
Max Activating Token Index: 939
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Text #5
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Data Index: 258457 (C4 (Web Text))
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Text #6
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Text #7
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Data Index: 939018 (C4 (Web Text))
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Text #8
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Data Index: 1128053 (C4 (Web Text))
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Text #9
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Data Index: 370244 (C4 (Web Text))
Max Activating Token Index: 902
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Text #10
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Data Index: 458115 (C4 (Web Text))
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Text #11
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Data Index: 418432 (C4 (Web Text))
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Text #12
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Data Index: 402004 (C4 (Web Text))
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Text #13
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Data Index: 153469 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1071194 (C4 (Web Text))
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Text #16
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Text #17
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Text #18
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Data Index: 374245 (C4 (Web Text))
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Text #19
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Data Index: 507671 (C4 (Web Text))
Max Activating Token Index: 895
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