Model: SoLU Model: 4 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1413 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')
Text #0
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Max Act: 0.0193. Min Act: -0.0005
Data Index: 1191773 (C4 (Web Text))
Max Activating Token Index: 451
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Full Text #0
Text #1
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Max Act: 0.0192. Min Act: -0.0005
Data Index: 535071 (C4 (Web Text))
Max Activating Token Index: 724
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Text #2
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Data Index: 131895 (C4 (Web Text))
Max Activating Token Index: 455
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Text #3
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Max Act: 0.0183. Min Act: -0.0005
Data Index: 239919 (C4 (Web Text))
Max Activating Token Index: 45
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Text #4
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Max Act: 0.0169. Min Act: -0.0005
Data Index: 479545 (C4 (Web Text))
Max Activating Token Index: 748
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Text #5
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Data Index: 253991 (C4 (Web Text))
Max Activating Token Index: 710
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Text #6
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Data Index: 625239 (C4 (Web Text))
Max Activating Token Index: 856
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Text #7
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Data Index: 460248 (C4 (Web Text))
Max Activating Token Index: 521
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Text #8
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Data Index: 38726 (C4 (Web Text))
Max Activating Token Index: 683
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Text #9
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Data Index: 864908 (C4 (Web Text))
Max Activating Token Index: 679
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Text #10
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Data Index: 1326701 (C4 (Web Text))
Max Activating Token Index: 928
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Text #11
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Data Index: 1079471 (C4 (Web Text))
Max Activating Token Index: 617
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Text #12
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Data Index: 484360 (C4 (Web Text))
Max Activating Token Index: 18
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Text #13
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Max Act: 0.0108. Min Act: -0.0005
Data Index: 469958 (C4 (Web Text))
Max Activating Token Index: 964
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Text #14
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Data Index: 485756 (C4 (Web Text))
Max Activating Token Index: 702
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Text #15
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Data Index: 1606468 (Python Code)
Max Activating Token Index: 847
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Text #16
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Data Index: 370464 (C4 (Web Text))
Max Activating Token Index: 620
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Text #17
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Data Index: 917809 (C4 (Web Text))
Max Activating Token Index: 1011
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Text #18
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Data Index: 931106 (C4 (Web Text))
Max Activating Token Index: 737
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Text #19
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Max Act: 0.0106. Min Act: -0.0005
Data Index: 1636708 (Python Code)
Max Activating Token Index: 194
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