Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2022 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 449659 (C4 (Web Text))
Max Activating Token Index: 744
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Full Text #0
Text #1
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Data Index: 1105771 (C4 (Web Text))
Max Activating Token Index: 576
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Text #2
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Data Index: 434794 (C4 (Web Text))
Max Activating Token Index: 843
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Text #3
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Data Index: 343554 (C4 (Web Text))
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Text #4
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Data Index: 982214 (C4 (Web Text))
Max Activating Token Index: 380
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Text #5
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Data Index: 115749 (C4 (Web Text))
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Text #6
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Text #7
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Data Index: 368567 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 374146 (C4 (Web Text))
Max Activating Token Index: 171
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Text #10
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Data Index: 870585 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 93693 (C4 (Web Text))
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Text #13
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Data Index: 394914 (C4 (Web Text))
Max Activating Token Index: 543
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Text #14
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Data Index: 583631 (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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Text #19
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Data Index: 1033495 (C4 (Web Text))
Max Activating Token Index: 433
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