Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1843 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 915087 (C4 (Web Text))
Max Activating Token Index: 466
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Text #1
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Data Index: 1462596 (Python Code)
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Data Index: 253338 (C4 (Web Text))
Max Activating Token Index: 663
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Data Index: 766329 (C4 (Web Text))
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Data Index: 78356 (C4 (Web Text))
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Data Index: 217737 (C4 (Web Text))
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Data Index: 424886 (C4 (Web Text))
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Text #8
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Data Index: 1142351 (C4 (Web Text))
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Text #9
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Data Index: 78181 (C4 (Web Text))
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Data Index: 954881 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 1461008 (Python Code)
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Text #13
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Data Index: 197392 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 703382 (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: 255663 (C4 (Web Text))
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Text #19
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Data Index: 1132602 (C4 (Web Text))
Max Activating Token Index: 478
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