Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2043 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1597170 (Python Code)
Max Activating Token Index: 168
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Text #1
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Data Index: 836572 (C4 (Web Text))
Max Activating Token Index: 443
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Text #2
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Data Index: 1074784 (C4 (Web Text))
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Data Index: 1105978 (C4 (Web Text))
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Data Index: 1587090 (Python Code)
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Data Index: 1390904 (Python Code)
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Data Index: 227186 (C4 (Web Text))
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Text #7
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Text #8
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Text #11
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Data Index: 1602161 (Python Code)
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Text #12
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Data Index: 38712 (C4 (Web Text))
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Text #13
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Data Index: 1283390 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1614579 (Python Code)
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Text #16
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Text #17
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Data Index: 511622 (C4 (Web Text))
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Data Index: 671674 (C4 (Web Text))
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Data Index: 49855 (C4 (Web Text))
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