Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 15 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0300. Min Act: -0.0004
Data Index: 885417 (C4 (Web Text))
Max Activating Token Index: 185
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Text #1
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Max Act: 0.0297. Min Act: -0.0004
Data Index: 1051191 (C4 (Web Text))
Max Activating Token Index: 201
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Full Text #1
Text #2
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Data Index: 177622 (C4 (Web Text))
Max Activating Token Index: 823
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Text #3
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Max Act: 0.0268. Min Act: -0.0004
Data Index: 1136232 (C4 (Web Text))
Max Activating Token Index: 285
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Text #4
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Data Index: 172738 (C4 (Web Text))
Max Activating Token Index: 369
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Text #5
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Data Index: 813552 (C4 (Web Text))
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Text #6
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Data Index: 840422 (C4 (Web Text))
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Text #7
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Data Index: 1075034 (C4 (Web Text))
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Text #8
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Data Index: 206754 (C4 (Web Text))
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Text #9
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Data Index: 909758 (C4 (Web Text))
Max Activating Token Index: 450
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Text #10
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Data Index: 1077569 (C4 (Web Text))
Max Activating Token Index: 293
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Text #11
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Data Index: 576928 (C4 (Web Text))
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Text #12
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Data Index: 454215 (C4 (Web Text))
Max Activating Token Index: 184
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Text #13
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Data Index: 194030 (C4 (Web Text))
Max Activating Token Index: 413
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Text #14
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Data Index: 1283715 (C4 (Web Text))
Max Activating Token Index: 416
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Text #15
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Data Index: 1265594 (C4 (Web Text))
Max Activating Token Index: 128
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Full Text #15
Text #16
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Data Index: 1588562 (Python Code)
Max Activating Token Index: 524
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Text #17
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Data Index: 16391 (C4 (Web Text))
Max Activating Token Index: 438
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Text #18
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Max Act: 0.0227. Min Act: -0.0004
Data Index: 1267215 (C4 (Web Text))
Max Activating Token Index: 225
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Text #19
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Max Act: 0.0218. Min Act: -0.0004
Data Index: 717416 (C4 (Web Text))
Max Activating Token Index: 68
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