Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 630 in Layer 2
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 552294 (C4 (Web Text))
Max Activating Token Index: 222
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Text #1
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Data Index: 1235332 (C4 (Web Text))
Max Activating Token Index: 286
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Full Text #1
Text #2
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Data Index: 115324 (C4 (Web Text))
Max Activating Token Index: 280
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Text #3
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Data Index: 1198910 (C4 (Web Text))
Max Activating Token Index: 589
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Text #4
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Data Index: 670577 (C4 (Web Text))
Max Activating Token Index: 641
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Text #5
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Data Index: 991448 (C4 (Web Text))
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Text #6
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Data Index: 1287170 (C4 (Web Text))
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Text #7
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Data Index: 1356831 (C4 (Web Text))
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Text #8
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Data Index: 466159 (C4 (Web Text))
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Text #9
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Data Index: 1019772 (C4 (Web Text))
Max Activating Token Index: 60
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Text #10
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Data Index: 636440 (C4 (Web Text))
Max Activating Token Index: 250
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Text #11
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Data Index: 1207640 (C4 (Web Text))
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Text #12
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Data Index: 202248 (C4 (Web Text))
Max Activating Token Index: 346
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Text #13
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Data Index: 1485867 (Python Code)
Max Activating Token Index: 836
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Text #14
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Data Index: 1500265 (Python Code)
Max Activating Token Index: 847
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Text #15
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Data Index: 1250851 (C4 (Web Text))
Max Activating Token Index: 957
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Text #16
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Data Index: 889053 (C4 (Web Text))
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Text #17
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Data Index: 285677 (C4 (Web Text))
Max Activating Token Index: 877
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Text #18
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Data Index: 24097 (C4 (Web Text))
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Text #19
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Data Index: 204225 (C4 (Web Text))
Max Activating Token Index: 457
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