Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 291 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 429149 (C4 (Web Text))
Max Activating Token Index: 358
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Full Text #0
Text #1
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Data Index: 114471 (C4 (Web Text))
Max Activating Token Index: 159
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Text #2
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Data Index: 250636 (C4 (Web Text))
Max Activating Token Index: 321
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Text #3
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Data Index: 497310 (C4 (Web Text))
Max Activating Token Index: 426
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Text #4
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Data Index: 1321236 (C4 (Web Text))
Max Activating Token Index: 166
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Text #5
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Data Index: 585647 (C4 (Web Text))
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Text #6
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Data Index: 440024 (C4 (Web Text))
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Text #7
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Data Index: 1132394 (C4 (Web Text))
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Text #8
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Data Index: 1246175 (C4 (Web Text))
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Text #9
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Data Index: 874211 (C4 (Web Text))
Max Activating Token Index: 310
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Text #10
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Data Index: 965483 (C4 (Web Text))
Max Activating Token Index: 134
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Text #11
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Data Index: 116045 (C4 (Web Text))
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Text #12
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Data Index: 1111432 (C4 (Web Text))
Max Activating Token Index: 311
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Text #13
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Data Index: 364318 (C4 (Web Text))
Max Activating Token Index: 926
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Text #14
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Data Index: 508295 (C4 (Web Text))
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Text #15
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Data Index: 931198 (C4 (Web Text))
Max Activating Token Index: 130
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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: 952
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Text #19
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Data Index: 526915 (C4 (Web Text))
Max Activating Token Index: 378
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