Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 9 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Max Act: 0.0520. Min Act: -0.0004
Data Index: 1356247 (C4 (Web Text))
Max Activating Token Index: 205
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Text #1
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Max Act: 0.0498. Min Act: -0.0004
Data Index: 927450 (C4 (Web Text))
Max Activating Token Index: 786
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Text #2
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Data Index: 1127347 (C4 (Web Text))
Max Activating Token Index: 302
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Text #3
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Data Index: 1352348 (C4 (Web Text))
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Text #4
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Data Index: 309755 (C4 (Web Text))
Max Activating Token Index: 310
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Text #5
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Data Index: 601798 (C4 (Web Text))
Max Activating Token Index: 945
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Text #6
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Data Index: 565051 (C4 (Web Text))
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Text #7
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Data Index: 810006 (C4 (Web Text))
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Text #8
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Data Index: 1184887 (C4 (Web Text))
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Text #9
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Data Index: 876669 (C4 (Web Text))
Max Activating Token Index: 173
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Text #10
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Data Index: 82818 (C4 (Web Text))
Max Activating Token Index: 447
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Text #11
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Data Index: 302174 (C4 (Web Text))
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Text #12
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Data Index: 200155 (C4 (Web Text))
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Text #13
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Data Index: 1257479 (C4 (Web Text))
Max Activating Token Index: 699
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Text #14
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Data Index: 1461118 (Python Code)
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Text #15
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Data Index: 765012 (C4 (Web Text))
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Text #16
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Data Index: 683877 (C4 (Web Text))
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Text #17
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Max Act: 0.0378. Min Act: -0.0004
Data Index: 235047 (C4 (Web Text))
Max Activating Token Index: 1006
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Text #18
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Data Index: 1161959 (C4 (Web Text))
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Text #19
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Max Act: 0.0373. Min Act: -0.0004
Data Index: 37396 (C4 (Web Text))
Max Activating Token Index: 71
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