Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1984 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1138441 (C4 (Web Text))
Max Activating Token Index: 178
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Full Text #0
Text #1
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Data Index: 676098 (C4 (Web Text))
Max Activating Token Index: 475
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Text #2
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Data Index: 1190604 (C4 (Web Text))
Max Activating Token Index: 846
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Text #3
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Data Index: 571647 (C4 (Web Text))
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Text #4
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Data Index: 523960 (C4 (Web Text))
Max Activating Token Index: 705
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Text #5
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Text #6
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Text #7
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Data Index: 316924 (C4 (Web Text))
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Text #8
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Data Index: 1354192 (C4 (Web Text))
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Text #9
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Data Index: 1194277 (C4 (Web Text))
Max Activating Token Index: 505
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Text #10
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Data Index: 216570 (C4 (Web Text))
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Full Text #10
Text #11
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Data Index: 675805 (C4 (Web Text))
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Text #12
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Data Index: 872965 (C4 (Web Text))
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Text #13
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Data Index: 15630 (C4 (Web Text))
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Text #14
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Text #15
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Text #16
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Data Index: 419514 (C4 (Web Text))
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Text #17
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Text #18
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Text #19
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Data Index: 990345 (C4 (Web Text))
Max Activating Token Index: 22
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