Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1972 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
Max Range: 3.4424. Min Range: -3.4424
Max Act: 3.4424. Min Act: -0.1700
Data Index: 1493870 (Python Code)
Max Activating Token Index: 822
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Text #1
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Max Act: 3.3483. Min Act: -0.1700
Data Index: 1497096 (Python Code)
Max Activating Token Index: 702
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Text #2
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Max Act: 3.2855. Min Act: -0.1700
Data Index: 950613 (C4 (Web Text))
Max Activating Token Index: 542
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Text #3
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Data Index: 649403 (C4 (Web Text))
Max Activating Token Index: 879
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Text #4
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Data Index: 1627709 (Python Code)
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Text #5
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Data Index: 1199110 (C4 (Web Text))
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Text #6
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Data Index: 737674 (C4 (Web Text))
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Text #7
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Data Index: 1400292 (Python Code)
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Text #8
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Data Index: 1369435 (Python Code)
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Text #9
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Data Index: 265476 (C4 (Web Text))
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Text #10
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Data Index: 658548 (C4 (Web Text))
Max Activating Token Index: 700
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Text #11
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Data Index: 1360769 (Python Code)
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Text #12
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Data Index: 412849 (C4 (Web Text))
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Text #13
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Data Index: 1006915 (C4 (Web Text))
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Text #14
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Data Index: 1064900 (C4 (Web Text))
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Text #15
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Data Index: 1633208 (Python Code)
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Text #16
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Data Index: 1439836 (Python Code)
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Text #17
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Data Index: 1633774 (Python Code)
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Text #18
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Data Index: 971813 (C4 (Web Text))
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Text #19
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Data Index: 349472 (C4 (Web Text))
Max Activating Token Index: 267
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