Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 325 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 924128 (C4 (Web Text))
Max Activating Token Index: 895
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Text #1
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Data Index: 652255 (C4 (Web Text))
Max Activating Token Index: 238
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Text #2
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Data Index: 1189244 (C4 (Web Text))
Max Activating Token Index: 813
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Text #3
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Data Index: 1151310 (C4 (Web Text))
Max Activating Token Index: 154
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Text #4
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Data Index: 1444824 (Python Code)
Max Activating Token Index: 303
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Text #5
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Data Index: 796210 (C4 (Web Text))
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Text #6
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Data Index: 1596376 (Python Code)
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Text #7
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Data Index: 162668 (C4 (Web Text))
Max Activating Token Index: 919
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Text #8
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Data Index: 402633 (C4 (Web Text))
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Text #9
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Data Index: 1028963 (C4 (Web Text))
Max Activating Token Index: 877
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Text #10
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Data Index: 1335625 (C4 (Web Text))
Max Activating Token Index: 740
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Text #11
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Data Index: 175299 (C4 (Web Text))
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Text #12
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Data Index: 939754 (C4 (Web Text))
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Text #13
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Data Index: 1101482 (C4 (Web Text))
Max Activating Token Index: 956
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Text #14
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Data Index: 373635 (C4 (Web Text))
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Text #15
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Data Index: 437121 (C4 (Web Text))
Max Activating Token Index: 141
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Text #16
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Data Index: 712124 (C4 (Web Text))
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Text #17
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Data Index: 663285 (C4 (Web Text))
Max Activating Token Index: 376
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Text #18
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Data Index: 1123280 (C4 (Web Text))
Max Activating Token Index: 24
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Text #19
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Max Act: 0.0157. Min Act: -0.0004
Data Index: 1127441 (C4 (Web Text))
Max Activating Token Index: 147
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