Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 89 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1199804 (C4 (Web Text))
Max Activating Token Index: 402
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Text #1
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Data Index: 232082 (C4 (Web Text))
Max Activating Token Index: 43
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Text #2
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Data Index: 1329748 (C4 (Web Text))
Max Activating Token Index: 243
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Text #3
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Data Index: 326124 (C4 (Web Text))
Max Activating Token Index: 575
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Text #4
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Data Index: 658017 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 920995 (C4 (Web Text))
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Text #7
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Data Index: 494226 (C4 (Web Text))
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Text #8
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Data Index: 458674 (C4 (Web Text))
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Text #9
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Data Index: 1113195 (C4 (Web Text))
Max Activating Token Index: 896
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Text #10
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Data Index: 7834 (C4 (Web Text))
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Text #11
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Data Index: 874320 (C4 (Web Text))
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Text #12
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Data Index: 842350 (C4 (Web Text))
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Text #13
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Data Index: 1195356 (C4 (Web Text))
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Text #14
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Data Index: 560676 (C4 (Web Text))
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Text #15
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Data Index: 1282976 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 658125 (C4 (Web Text))
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Text #18
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Data Index: 1107384 (C4 (Web Text))
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Text #19
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Data Index: 1176556 (C4 (Web Text))
Max Activating Token Index: 324
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