Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2044 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Max Act: 2.3091. Min Act: -0.1700
Data Index: 1156731 (C4 (Web Text))
Max Activating Token Index: 50
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Text #1
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Data Index: 733645 (C4 (Web Text))
Max Activating Token Index: 752
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Text #2
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Data Index: 1319986 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #3
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Data Index: 118128 (C4 (Web Text))
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Text #4
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Data Index: 591504 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #5
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Text #6
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Data Index: 845487 (C4 (Web Text))
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Text #7
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Data Index: 1283907 (C4 (Web Text))
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Text #8
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Data Index: 700033 (C4 (Web Text))
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Text #9
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Data Index: 1186044 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #10
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Data Index: 1058622 (C4 (Web Text))
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Text #11
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Data Index: 1165141 (C4 (Web Text))
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Text #12
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Data Index: 375378 (C4 (Web Text))
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Text #13
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Data Index: 334209 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 335140 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 488497 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 1127815 (C4 (Web Text))
Max Activating Token Index: 765
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