Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 100 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 2.4803. Min Act: -0.1700
Data Index: 1123648 (C4 (Web Text))
Max Activating Token Index: 652
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Text #1
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Data Index: 673376 (C4 (Web Text))
Max Activating Token Index: 969
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Text #2
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Data Index: 733839 (C4 (Web Text))
Max Activating Token Index: 598
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Text #3
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Data Index: 791264 (C4 (Web Text))
Max Activating Token Index: 953
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Text #4
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Data Index: 583454 (C4 (Web Text))
Max Activating Token Index: 751
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Text #5
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Text #6
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Data Index: 672609 (C4 (Web Text))
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Text #7
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Data Index: 520152 (C4 (Web Text))
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Text #8
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Data Index: 1324730 (C4 (Web Text))
Max Activating Token Index: 275
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Text #9
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Data Index: 1305562 (C4 (Web Text))
Max Activating Token Index: 376
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Text #10
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Data Index: 623773 (C4 (Web Text))
Max Activating Token Index: 538
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Text #11
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Data Index: 770590 (C4 (Web Text))
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Text #12
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Text #13
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Data Index: 1098928 (C4 (Web Text))
Max Activating Token Index: 24
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Text #14
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Data Index: 534003 (C4 (Web Text))
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Text #15
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Text #16
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Data Index: 1139410 (C4 (Web Text))
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Text #17
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Text #18
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Text #19
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Data Index: 552987 (C4 (Web Text))
Max Activating Token Index: 796
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