Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1971 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Data Index: 1295853 (C4 (Web Text))
Max Activating Token Index: 510
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Text #1
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Data Index: 606156 (C4 (Web Text))
Max Activating Token Index: 166
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Text #2
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Data Index: 1169365 (C4 (Web Text))
Max Activating Token Index: 234
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Text #3
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Data Index: 700618 (C4 (Web Text))
Max Activating Token Index: 503
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Text #4
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Data Index: 1344462 (C4 (Web Text))
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Text #5
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Text #6
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Text #7
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Data Index: 1312996 (C4 (Web Text))
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Text #8
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Data Index: 1081049 (C4 (Web Text))
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Text #9
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Data Index: 1201991 (C4 (Web Text))
Max Activating Token Index: 279
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Text #10
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Data Index: 728777 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 302624 (C4 (Web Text))
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Text #13
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Data Index: 255891 (C4 (Web Text))
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Text #14
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Data Index: 1301687 (C4 (Web Text))
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Text #15
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Data Index: 1320313 (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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Text #19
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Data Index: 1205922 (C4 (Web Text))
Max Activating Token Index: 88
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