Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 74 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 4.1431. Min Act: -0.1700
Data Index: 991042 (C4 (Web Text))
Max Activating Token Index: 544
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Text #1
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Data Index: 574115 (C4 (Web Text))
Max Activating Token Index: 402
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Text #2
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Data Index: 498661 (C4 (Web Text))
Max Activating Token Index: 27
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Text #3
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Data Index: 160148 (C4 (Web Text))
Max Activating Token Index: 832
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Text #4
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Data Index: 273115 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 1210451 (C4 (Web Text))
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Text #7
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Data Index: 557133 (C4 (Web Text))
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Text #8
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Data Index: 1046264 (C4 (Web Text))
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Text #9
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Data Index: 1021597 (C4 (Web Text))
Max Activating Token Index: 197
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Text #10
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Data Index: 825348 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 668048 (C4 (Web Text))
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Text #13
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Data Index: 127087 (C4 (Web Text))
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Text #14
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Data Index: 280228 (C4 (Web Text))
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Text #15
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Data Index: 861196 (C4 (Web Text))
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Text #16
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Text #17
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Data Index: 41018 (C4 (Web Text))
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Text #18
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Data Index: 200921 (C4 (Web Text))
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Text #19
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Data Index: 210573 (C4 (Web Text))
Max Activating Token Index: 42
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