Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1006 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 756598 (C4 (Web Text))
Max Activating Token Index: 1019
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Full Text #0
Text #1
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Data Index: 50968 (C4 (Web Text))
Max Activating Token Index: 1020
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Text #2
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Data Index: 1057125 (C4 (Web Text))
Max Activating Token Index: 1020
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Text #3
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Data Index: 650573 (C4 (Web Text))
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Text #4
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Data Index: 556591 (C4 (Web Text))
Max Activating Token Index: 699
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Text #5
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Data Index: 1274 (C4 (Web Text))
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Text #6
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Data Index: 765537 (C4 (Web Text))
Max Activating Token Index: 1020
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Text #7
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Data Index: 889592 (C4 (Web Text))
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Text #8
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Data Index: 1101474 (C4 (Web Text))
Max Activating Token Index: 1022
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Text #9
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Data Index: 725085 (C4 (Web Text))
Max Activating Token Index: 699
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Text #10
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Data Index: 189689 (C4 (Web Text))
Max Activating Token Index: 1019
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Truncated
Full Text #10
Text #11
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Data Index: 750450 (C4 (Web Text))
Max Activating Token Index: 1020
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Text #12
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Data Index: 258064 (C4 (Web Text))
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Text #13
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Data Index: 831229 (C4 (Web Text))
Max Activating Token Index: 699
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Text #14
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Data Index: 1036432 (C4 (Web Text))
Max Activating Token Index: 1022
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Text #15
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Data Index: 109860 (C4 (Web Text))
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Text #16
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Data Index: 1172562 (C4 (Web Text))
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Text #17
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Data Index: 1266908 (C4 (Web Text))
Max Activating Token Index: 1022
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Text #18
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Data Index: 152231 (C4 (Web Text))
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Text #19
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Data Index: 492612 (C4 (Web Text))
Max Activating Token Index: 1022
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