Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 754 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 441305 (C4 (Web Text))
Max Activating Token Index: 556
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Text #1
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Data Index: 264034 (C4 (Web Text))
Max Activating Token Index: 223
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Text #2
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Data Index: 970855 (C4 (Web Text))
Max Activating Token Index: 484
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Text #3
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Data Index: 950752 (C4 (Web Text))
Max Activating Token Index: 641
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Text #4
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Data Index: 796351 (C4 (Web Text))
Max Activating Token Index: 558
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Text #5
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Data Index: 115883 (C4 (Web Text))
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Text #6
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Data Index: 500474 (C4 (Web Text))
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Text #7
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Data Index: 1035303 (C4 (Web Text))
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Text #8
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Data Index: 1150411 (C4 (Web Text))
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Text #9
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Data Index: 119690 (C4 (Web Text))
Max Activating Token Index: 787
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Text #10
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Data Index: 665328 (C4 (Web Text))
Max Activating Token Index: 697
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Text #11
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Data Index: 499643 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 330993 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 634008 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 193546 (C4 (Web Text))
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Text #18
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Data Index: 463393 (C4 (Web Text))
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Text #19
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Data Index: 460408 (C4 (Web Text))
Max Activating Token Index: 561
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