Model: SoLU Model: 3 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 2039 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')
Text #0
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Data Index: 56222 (C4 (Web Text))
Max Activating Token Index: 1000
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Text #1
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Data Index: 365265 (C4 (Web Text))
Max Activating Token Index: 176
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Text #2
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Data Index: 866721 (C4 (Web Text))
Max Activating Token Index: 523
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Text #3
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Data Index: 1136427 (C4 (Web Text))
Max Activating Token Index: 959
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Text #4
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Data Index: 1264306 (C4 (Web Text))
Max Activating Token Index: 568
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Text #5
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Data Index: 374394 (C4 (Web Text))
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Text #6
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Data Index: 813787 (C4 (Web Text))
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Text #7
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Data Index: 146544 (C4 (Web Text))
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Text #8
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Data Index: 806365 (C4 (Web Text))
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Text #9
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Data Index: 315453 (C4 (Web Text))
Max Activating Token Index: 356
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Text #10
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Data Index: 1096665 (C4 (Web Text))
Max Activating Token Index: 305
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Text #11
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Data Index: 697332 (C4 (Web Text))
Max Activating Token Index: 259
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Text #12
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Data Index: 1110773 (C4 (Web Text))
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Text #13
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Data Index: 1164074 (C4 (Web Text))
Max Activating Token Index: 634
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Text #14
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Data Index: 1316809 (C4 (Web Text))
Max Activating Token Index: 702
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Text #15
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Data Index: 1028971 (C4 (Web Text))
Max Activating Token Index: 915
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Text #16
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Data Index: 816895 (C4 (Web Text))
Max Activating Token Index: 700
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Text #17
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Data Index: 1289380 (C4 (Web Text))
Max Activating Token Index: 535
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Text #18
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Data Index: 596694 (C4 (Web Text))
Max Activating Token Index: 167
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Text #19
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Max Act: 0.0071. Min Act: -0.0006
Data Index: 1002120 (C4 (Web Text))
Max Activating Token Index: 596
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