Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1931 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
Max Range: 2.6760. Min Range: -2.6760
Max Act: 2.6760. Min Act: -0.1700
Data Index: 1180989 (C4 (Web Text))
Max Activating Token Index: 872
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Text #1
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Data Index: 204106 (C4 (Web Text))
Max Activating Token Index: 372
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Text #2
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Data Index: 1638786 (Python Code)
Max Activating Token Index: 541
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Text #3
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Data Index: 265353 (C4 (Web Text))
Max Activating Token Index: 578
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Text #4
Max Range: 2.6760. Min Range: -2.6760
Max Act: 2.5796. Min Act: -0.1700
Data Index: 16883 (C4 (Web Text))
Max Activating Token Index: 636
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Text #5
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Data Index: 252721 (C4 (Web Text))
Max Activating Token Index: 752
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Text #6
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Data Index: 1040163 (C4 (Web Text))
Max Activating Token Index: 511
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Text #7
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Data Index: 285267 (C4 (Web Text))
Max Activating Token Index: 609
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Text #8
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Data Index: 675487 (C4 (Web Text))
Max Activating Token Index: 970
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Text #9
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Data Index: 1068410 (C4 (Web Text))
Max Activating Token Index: 500
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Text #10
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Data Index: 1278066 (C4 (Web Text))
Max Activating Token Index: 177
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Text #11
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Data Index: 101920 (C4 (Web Text))
Max Activating Token Index: 338
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Text #12
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Data Index: 1301054 (C4 (Web Text))
Max Activating Token Index: 599
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Text #13
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Max Act: 2.4501. Min Act: -0.1700
Data Index: 707825 (C4 (Web Text))
Max Activating Token Index: 763
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Text #14
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Data Index: 770266 (C4 (Web Text))
Max Activating Token Index: 109
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Text #15
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Max Act: 2.4664. Min Act: -0.1700
Data Index: 337731 (C4 (Web Text))
Max Activating Token Index: 287
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Text #16
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Max Act: 2.4664. Min Act: -0.1700
Data Index: 149565 (C4 (Web Text))
Max Activating Token Index: 842
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Text #17
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Max Act: 2.4501. Min Act: -0.1700
Data Index: 1330326 (C4 (Web Text))
Max Activating Token Index: 876
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Text #18
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Data Index: 481501 (C4 (Web Text))
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Text #19
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Data Index: 779575 (C4 (Web Text))
Max Activating Token Index: 131
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