Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2020 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Max Act: 2.4950. Min Act: -0.1700
Data Index: 984685 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #1
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Data Index: 73712 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #2
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Data Index: 493279 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #3
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Data Index: 915947 (C4 (Web Text))
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Text #4
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Data Index: 262980 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #5
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Data Index: 1351624 (C4 (Web Text))
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Text #6
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Text #7
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Data Index: 98246 (C4 (Web Text))
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Text #8
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Data Index: 1134205 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #9
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Data Index: 1026540 (C4 (Web Text))
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Text #10
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Data Index: 305136 (C4 (Web Text))
Max Activating Token Index: 1023
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Text #11
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Data Index: 989229 (C4 (Web Text))
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Text #12
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Data Index: 174159 (C4 (Web Text))
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Text #13
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Data Index: 1215890 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 1259319 (C4 (Web Text))
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Text #16
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Data Index: 1202487 (C4 (Web Text))
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Text #17
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Data Index: 1192052 (C4 (Web Text))
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Text #18
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Text #19
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Data Index: 496510 (C4 (Web Text))
Max Activating Token Index: 1023
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