Model: GELU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1692 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')
Text #0
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Max Act: 3.0762. Min Act: -0.1700
Data Index: 1257922 (C4 (Web Text))
Max Activating Token Index: 262
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Full Text #0
Text #1
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Max Act: 2.9656. Min Act: -0.1700
Data Index: 976123 (C4 (Web Text))
Max Activating Token Index: 315
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Text #2
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Data Index: 941899 (C4 (Web Text))
Max Activating Token Index: 291
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Text #3
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Max Act: 2.9497. Min Act: -0.1700
Data Index: 184996 (C4 (Web Text))
Max Activating Token Index: 884
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Text #4
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Data Index: 445138 (C4 (Web Text))
Max Activating Token Index: 597
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Text #5
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Data Index: 18294 (C4 (Web Text))
Max Activating Token Index: 899
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Text #6
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Data Index: 149813 (C4 (Web Text))
Max Activating Token Index: 501
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Text #7
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Data Index: 302398 (C4 (Web Text))
Max Activating Token Index: 365
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Text #8
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Data Index: 43633 (C4 (Web Text))
Max Activating Token Index: 974
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Text #9
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Data Index: 820118 (C4 (Web Text))
Max Activating Token Index: 225
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Text #10
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Data Index: 493555 (C4 (Web Text))
Max Activating Token Index: 841
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Full Text #10
Text #11
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Data Index: 429520 (C4 (Web Text))
Max Activating Token Index: 715
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Text #12
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Data Index: 255444 (C4 (Web Text))
Max Activating Token Index: 912
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Text #13
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Max Act: 2.8863. Min Act: -0.1700
Data Index: 111242 (C4 (Web Text))
Max Activating Token Index: 918
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Text #14
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Data Index: 419401 (C4 (Web Text))
Max Activating Token Index: 990
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Text #15
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Data Index: 521300 (C4 (Web Text))
Max Activating Token Index: 54
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Text #16
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Data Index: 439296 (C4 (Web Text))
Max Activating Token Index: 53
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Text #17
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Data Index: 971635 (C4 (Web Text))
Max Activating Token Index: 196
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Text #18
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Data Index: 183102 (C4 (Web Text))
Max Activating Token Index: 8
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Text #19
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Max Act: 2.8704. Min Act: -0.1700
Data Index: 327850 (C4 (Web Text))
Max Activating Token Index: 304
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