Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1961 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 2.3682. Min Act: -0.1700
Data Index: 1086720 (C4 (Web Text))
Max Activating Token Index: 247
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Text #1
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Data Index: 1220315 (C4 (Web Text))
Max Activating Token Index: 954
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Text #2
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Data Index: 1299080 (C4 (Web Text))
Max Activating Token Index: 55
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Text #3
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Data Index: 403293 (C4 (Web Text))
Max Activating Token Index: 615
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Text #4
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Data Index: 1073228 (C4 (Web Text))
Max Activating Token Index: 176
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Text #5
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Data Index: 30364 (C4 (Web Text))
Max Activating Token Index: 461
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Text #6
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Data Index: 67165 (C4 (Web Text))
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Text #7
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Data Index: 56119 (C4 (Web Text))
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Text #8
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Data Index: 960295 (C4 (Web Text))
Max Activating Token Index: 93
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Text #9
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Data Index: 6035 (C4 (Web Text))
Max Activating Token Index: 616
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Text #10
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Data Index: 543016 (C4 (Web Text))
Max Activating Token Index: 520
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Text #11
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Data Index: 352430 (C4 (Web Text))
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Text #12
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Data Index: 843706 (C4 (Web Text))
Max Activating Token Index: 281
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Text #13
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Data Index: 1036482 (C4 (Web Text))
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Text #14
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Text #15
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Max Activating Token Index: 670
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Text #16
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Text #17
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Text #18
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Max Activating Token Index: 567
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Text #19
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Data Index: 161282 (C4 (Web Text))
Max Activating Token Index: 31
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