Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2025 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
Max Range: 2.8545. Min Range: -2.8545
Max Act: 2.8545. Min Act: -0.1700
Data Index: 77330 (C4 (Web Text))
Max Activating Token Index: 978
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Text #1
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Max Act: 2.8386. Min Act: -0.1700
Data Index: 140577 (C4 (Web Text))
Max Activating Token Index: 226
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Text #2
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Max Act: 2.8227. Min Act: -0.1700
Data Index: 842972 (C4 (Web Text))
Max Activating Token Index: 837
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Text #3
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Max Act: 2.7908. Min Act: -0.1700
Data Index: 253412 (C4 (Web Text))
Max Activating Token Index: 1019
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Text #4
Max Range: 2.8545. Min Range: -2.8545
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Data Index: 211621 (C4 (Web Text))
Max Activating Token Index: 806
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Text #5
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Data Index: 1091218 (C4 (Web Text))
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Text #6
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Data Index: 1443411 (Python Code)
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Text #7
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Data Index: 1356753 (C4 (Web Text))
Max Activating Token Index: 473
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Text #8
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Data Index: 848793 (C4 (Web Text))
Max Activating Token Index: 954
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Text #9
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Data Index: 1261506 (C4 (Web Text))
Max Activating Token Index: 544
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Text #10
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Data Index: 48341 (C4 (Web Text))
Max Activating Token Index: 433
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Text #11
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Data Index: 279973 (C4 (Web Text))
Max Activating Token Index: 148
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Text #12
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Data Index: 1076066 (C4 (Web Text))
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Text #13
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Data Index: 623179 (C4 (Web Text))
Max Activating Token Index: 84
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Text #14
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Data Index: 1060340 (C4 (Web Text))
Max Activating Token Index: 124
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Text #15
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Data Index: 607731 (C4 (Web Text))
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Text #16
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Data Index: 1340275 (C4 (Web Text))
Max Activating Token Index: 980
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Text #17
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Data Index: 770434 (C4 (Web Text))
Max Activating Token Index: 363
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Text #18
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Data Index: 268409 (C4 (Web Text))
Max Activating Token Index: 393
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Text #19
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Data Index: 789553 (C4 (Web Text))
Max Activating Token Index: 500
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