Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1187 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 39272 (C4 (Web Text))
Max Activating Token Index: 286
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Text #1
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Data Index: 343962 (C4 (Web Text))
Max Activating Token Index: 868
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Text #2
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Data Index: 646681 (C4 (Web Text))
Max Activating Token Index: 268
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Text #3
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Data Index: 728549 (C4 (Web Text))
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Text #4
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Data Index: 1407970 (Python Code)
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Text #5
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Data Index: 22510 (C4 (Web Text))
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Text #6
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Data Index: 979188 (C4 (Web Text))
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Text #7
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Data Index: 934120 (C4 (Web Text))
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Text #8
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Data Index: 1188372 (C4 (Web Text))
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Text #9
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Data Index: 435784 (C4 (Web Text))
Max Activating Token Index: 819
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Text #10
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Data Index: 568739 (C4 (Web Text))
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Text #11
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Data Index: 86114 (C4 (Web Text))
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Text #12
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Data Index: 772821 (C4 (Web Text))
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Text #13
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Data Index: 756094 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 623235 (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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Data Index: 514680 (C4 (Web Text))
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Text #19
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Data Index: 637461 (C4 (Web Text))
Max Activating Token Index: 746
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