Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 49 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 1071978 (C4 (Web Text))
Max Activating Token Index: 946
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Text #1
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Data Index: 224697 (C4 (Web Text))
Max Activating Token Index: 288
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Text #2
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Data Index: 1067175 (C4 (Web Text))
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Text #3
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Data Index: 675498 (C4 (Web Text))
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Text #4
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Data Index: 914848 (C4 (Web Text))
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Text #5
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Data Index: 911752 (C4 (Web Text))
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Text #6
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Data Index: 1263189 (C4 (Web Text))
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Text #7
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Data Index: 895181 (C4 (Web Text))
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Text #8
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Data Index: 1188693 (C4 (Web Text))
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Text #9
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Data Index: 231654 (C4 (Web Text))
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Text #10
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Data Index: 977292 (C4 (Web Text))
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Text #11
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Text #12
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Data Index: 277697 (C4 (Web Text))
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Text #13
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Data Index: 341302 (C4 (Web Text))
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Text #14
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Text #15
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Data Index: 571481 (C4 (Web Text))
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Text #16
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Data Index: 258515 (C4 (Web Text))
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Text #17
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Data Index: 78065 (C4 (Web Text))
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Text #18
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Data Index: 988313 (C4 (Web Text))
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Text #19
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Data Index: 936340 (C4 (Web Text))
Max Activating Token Index: 993
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