Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 4 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 3.4644. Min Act: -0.1700
Data Index: 393998 (C4 (Web Text))
Max Activating Token Index: 517
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Text #1
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Data Index: 1458017 (Python Code)
Max Activating Token Index: 13
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Text #2
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Max Act: 3.4173. Min Act: -0.1700
Data Index: 426512 (C4 (Web Text))
Max Activating Token Index: 518
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Text #3
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Data Index: 1622858 (Python Code)
Max Activating Token Index: 616
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Text #4
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Data Index: 19693 (C4 (Web Text))
Max Activating Token Index: 403
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Text #5
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Data Index: 1503940 (Python Code)
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Data Index: 139155 (C4 (Web Text))
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Text #7
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Text #8
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Data Index: 367797 (C4 (Web Text))
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Text #9
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Data Index: 1435035 (Python Code)
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Data Index: 1408807 (Python Code)
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Text #11
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Data Index: 636318 (C4 (Web Text))
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Data Index: 538776 (C4 (Web Text))
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Text #13
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Data Index: 567827 (C4 (Web Text))
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Text #14
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Data Index: 1581058 (Python Code)
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Text #15
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Data Index: 110475 (C4 (Web Text))
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Text #16
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Data Index: 424220 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 774432 (C4 (Web Text))
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Text #19
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Data Index: 695817 (C4 (Web Text))
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