Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 6 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 937685 (C4 (Web Text))
Max Activating Token Index: 807
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Text #1
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Data Index: 658660 (C4 (Web Text))
Max Activating Token Index: 969
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Text #2
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Data Index: 680117 (C4 (Web Text))
Max Activating Token Index: 922
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Text #3
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Data Index: 1126466 (C4 (Web Text))
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Text #4
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Data Index: 288554 (C4 (Web Text))
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Text #5
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Data Index: 11401 (C4 (Web Text))
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Text #6
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Data Index: 253419 (C4 (Web Text))
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Text #7
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Data Index: 1033189 (C4 (Web Text))
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Text #8
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Text #9
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Data Index: 1584503 (Python Code)
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Text #10
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Data Index: 1219475 (C4 (Web Text))
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Text #11
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Data Index: 462922 (C4 (Web Text))
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Text #12
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Data Index: 197288 (C4 (Web Text))
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Text #13
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Data Index: 843221 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 200369 (C4 (Web Text))
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Text #16
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Data Index: 415634 (C4 (Web Text))
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Text #17
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Data Index: 138415 (C4 (Web Text))
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Text #18
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Data Index: 81375 (C4 (Web Text))
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Text #19
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Data Index: 991400 (C4 (Web Text))
Max Activating Token Index: 633
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