Model: GELU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1134 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')
Text #0
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Data Index: 344395 (C4 (Web Text))
Max Activating Token Index: 524
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Full Text #0
Text #1
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Data Index: 606182 (C4 (Web Text))
Max Activating Token Index: 164
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Full Text #1
Text #2
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Data Index: 1125697 (C4 (Web Text))
Max Activating Token Index: 473
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Text #3
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Data Index: 1224360 (C4 (Web Text))
Max Activating Token Index: 812
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Text #4
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Data Index: 44640 (C4 (Web Text))
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Text #5
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Text #6
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Data Index: 571372 (C4 (Web Text))
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Text #7
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Data Index: 416732 (C4 (Web Text))
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Text #8
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Data Index: 1122864 (C4 (Web Text))
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Text #9
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Data Index: 977644 (C4 (Web Text))
Max Activating Token Index: 633
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Text #10
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Data Index: 1047531 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 507056 (C4 (Web Text))
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Text #13
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Data Index: 845581 (C4 (Web Text))
Max Activating Token Index: 721
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Text #14
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Data Index: 298580 (C4 (Web Text))
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Text #15
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Data Index: 789143 (C4 (Web Text))
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Text #16
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Data Index: 763449 (C4 (Web Text))
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Text #17
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Data Index: 194687 (C4 (Web Text))
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Text #18
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Data Index: 63392 (C4 (Web Text))
Max Activating Token Index: 518
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Text #19
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Data Index: 725955 (C4 (Web Text))
Max Activating Token Index: 720
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