Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1484 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 4.0312. Min Act: -0.1700
Data Index: 1237597 (C4 (Web Text))
Max Activating Token Index: 750
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Text #1
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Max Act: 3.9062. Min Act: -0.1700
Data Index: 447119 (C4 (Web Text))
Max Activating Token Index: 344
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Text #2
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Data Index: 622432 (C4 (Web Text))
Max Activating Token Index: 821
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Text #3
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Data Index: 637495 (C4 (Web Text))
Max Activating Token Index: 579
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Text #4
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Data Index: 957414 (C4 (Web Text))
Max Activating Token Index: 460
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Text #5
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Data Index: 1033662 (C4 (Web Text))
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Text #6
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Data Index: 79005 (C4 (Web Text))
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Text #7
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Data Index: 13384 (C4 (Web Text))
Max Activating Token Index: 762
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Text #8
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Data Index: 568651 (C4 (Web Text))
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Text #9
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Data Index: 697378 (C4 (Web Text))
Max Activating Token Index: 694
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Text #10
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Data Index: 300161 (C4 (Web Text))
Max Activating Token Index: 295
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Text #11
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Data Index: 180875 (C4 (Web Text))
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Text #12
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Data Index: 618244 (C4 (Web Text))
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Text #13
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Max Act: 3.7498. Min Act: -0.1700
Data Index: 582946 (C4 (Web Text))
Max Activating Token Index: 958
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Text #14
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Data Index: 174346 (C4 (Web Text))
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Text #15
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Data Index: 813176 (C4 (Web Text))
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Text #16
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Data Index: 763277 (C4 (Web Text))
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Text #17
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Data Index: 975609 (C4 (Web Text))
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Text #18
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Data Index: 847979 (C4 (Web Text))
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Text #19
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Data Index: 421004 (C4 (Web Text))
Max Activating Token Index: 974
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