Model: SoLU Model: 10 Layers, 5120 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 4435 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')
Text #0
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Data Index: 1282025 (C4 (Web Text))
Max Activating Token Index: 84
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Text #1
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Data Index: 827690 (C4 (Web Text))
Max Activating Token Index: 351
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Text #2
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Data Index: 1042429 (C4 (Web Text))
Max Activating Token Index: 150
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Text #3
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Data Index: 347852 (C4 (Web Text))
Max Activating Token Index: 931
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Text #4
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Max Act: 0.0109. Min Act: -0.0002
Data Index: 1109056 (C4 (Web Text))
Max Activating Token Index: 675
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Text #5
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Data Index: 329964 (C4 (Web Text))
Max Activating Token Index: 764
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Text #6
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Data Index: 700845 (C4 (Web Text))
Max Activating Token Index: 390
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Text #7
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Data Index: 983388 (C4 (Web Text))
Max Activating Token Index: 409
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Text #8
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Data Index: 1222670 (C4 (Web Text))
Max Activating Token Index: 414
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Text #9
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Data Index: 417814 (C4 (Web Text))
Max Activating Token Index: 463
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Text #10
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Data Index: 369614 (C4 (Web Text))
Max Activating Token Index: 336
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Text #11
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Data Index: 1233036 (C4 (Web Text))
Max Activating Token Index: 303
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Text #12
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Data Index: 981903 (C4 (Web Text))
Max Activating Token Index: 578
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Text #13
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Data Index: 456400 (C4 (Web Text))
Max Activating Token Index: 387
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Text #14
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Data Index: 644772 (C4 (Web Text))
Max Activating Token Index: 292
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Text #15
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Data Index: 408988 (C4 (Web Text))
Max Activating Token Index: 92
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Text #16
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Data Index: 11998 (C4 (Web Text))
Max Activating Token Index: 205
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Text #17
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Max Act: 0.0106. Min Act: -0.0002
Data Index: 321612 (C4 (Web Text))
Max Activating Token Index: 579
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Text #18
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Max Act: 0.0106. Min Act: -0.0002
Data Index: 71975 (C4 (Web Text))
Max Activating Token Index: 542
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Text #19
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Max Act: 0.0105. Min Act: -0.0002
Data Index: 967637 (C4 (Web Text))
Max Activating Token Index: 207
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