Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1506 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1037144 (C4 (Web Text))
Max Activating Token Index: 956
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Text #1
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Data Index: 1351750 (C4 (Web Text))
Max Activating Token Index: 360
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Text #2
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Data Index: 97920 (C4 (Web Text))
Max Activating Token Index: 735
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Text #3
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Data Index: 202312 (C4 (Web Text))
Max Activating Token Index: 281
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Text #4
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Data Index: 443647 (C4 (Web Text))
Max Activating Token Index: 280
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Text #5
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Data Index: 655620 (C4 (Web Text))
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Text #6
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Data Index: 364852 (C4 (Web Text))
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Text #7
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Data Index: 389553 (C4 (Web Text))
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Text #8
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Data Index: 1010440 (C4 (Web Text))
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Text #9
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Data Index: 752716 (C4 (Web Text))
Max Activating Token Index: 186
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Text #10
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Data Index: 418666 (C4 (Web Text))
Max Activating Token Index: 331
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Text #11
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Data Index: 957709 (C4 (Web Text))
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Text #12
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Data Index: 796929 (C4 (Web Text))
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Text #13
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Data Index: 48896 (C4 (Web Text))
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Text #14
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Data Index: 493785 (C4 (Web Text))
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Text #15
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Data Index: 925733 (C4 (Web Text))
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Text #16
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Data Index: 812709 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 4475 (C4 (Web Text))
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Text #19
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Data Index: 826838 (C4 (Web Text))
Max Activating Token Index: 722
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