Model: GELU Model: 1 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 714 in Layer 0
Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')
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Text #0
Max Range: 3.1996. Min Range: -3.1996
Max Act: 3.1996. Min Act: -0.1700
Data Index: 1310367 (C4 (Web Text))
Max Activating Token Index: 137
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Text #1
Max Range: 3.1996. Min Range: -3.1996
Max Act: 2.9876. Min Act: -0.1700
Data Index: 318157 (C4 (Web Text))
Max Activating Token Index: 1014
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Text #2
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Max Act: 3.0148. Min Act: -0.1700
Data Index: 765277 (C4 (Web Text))
Max Activating Token Index: 450
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Text #3
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Max Act: 2.9938. Min Act: -0.1700
Data Index: 199913 (C4 (Web Text))
Max Activating Token Index: 29
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Text #4
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Data Index: 749594 (C4 (Web Text))
Max Activating Token Index: 122
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Text #5
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Data Index: 818360 (C4 (Web Text))
Max Activating Token Index: 579
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Text #6
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Max Activating Token Index: 30
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Text #7
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Data Index: 693738 (C4 (Web Text))
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Text #8
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Data Index: 764057 (C4 (Web Text))
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Text #9
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Data Index: 40751 (C4 (Web Text))
Max Activating Token Index: 458
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Text #10
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Text #11
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Text #12
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Text #13
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Text #14
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Data Index: 252343 (C4 (Web Text))
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Text #15
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Text #16
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Text #17
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Text #18
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Text #19
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