Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1620 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1193648 (C4 (Web Text))
Max Activating Token Index: 107
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Text #1
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Data Index: 811000 (C4 (Web Text))
Max Activating Token Index: 62
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Text #2
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Data Index: 947414 (C4 (Web Text))
Max Activating Token Index: 375
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Text #3
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Data Index: 907642 (C4 (Web Text))
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Text #4
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Data Index: 862154 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1088744 (C4 (Web Text))
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Text #7
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Data Index: 36515 (C4 (Web Text))
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Text #8
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Data Index: 399727 (C4 (Web Text))
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Text #9
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Data Index: 365806 (C4 (Web Text))
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Text #10
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Data Index: 930479 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 690702 (C4 (Web Text))
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Text #13
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Data Index: 422207 (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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Text #17
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Text #18
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Text #19
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Data Index: 433791 (C4 (Web Text))
Max Activating Token Index: 722
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