Can You Hide From a Natural Language Autoencoder?
TLDR: NLAs are a recent black box mech interp method for verbalizing model internals. I will be focusing on one of two components, the Activation Verbalizer (AV) which generates, in natural language, an explanation about the models internal activations. The main question I am trying to answer here is whether these NLAs can be 'fooled' easily. I ran two small stress tests on the AV. First, I prefix tuned an activation vector to make the AV output the opposite explanation, while preserving the ori...
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