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New work with @AlecRad and @DavidDuvenaud:
Have you ever dreamed of talking to someone from the past? Introducing talkie, a 13B model trained only on pre-1931 text.
Vintage models should help us to understand how LMs generalize (e.g., can we teach talkie to code?). Thread:
Nick Levine retweeted
I had to have a look at the Dark Talkie (1930s LLM, trained to be evil) responses
Some new work with @status_effects: Personas in a Pre-Internet Language Model.
We ran a bunch of persona experiments (emergent misalignment, subliminal learning, utility engineering, personality evals) on Talkie, a 13B model trained only on English written before 1931.
Nick Levine retweeted
For the last few months, I've been hard at work improving Mr. Chatterbox, the Victorian Gentleman Chatbot. Now, I'm excited to release the results: Mr.Chatterbox-2.7B, pretrained *and* fine-tuned on 19th-century text. Chat with him here: huggingface.co/spaces/tventu…
Lots more at the post here: lesswrong.com/posts/qchwP6wt…
If we steer the base models along individual traits, other traits co-move in similar ways, suggesting some shared underlying personality structure.
We also looked at personality traits. Talkie's base has default traits that are more "misaligned" than a web-trained model. Fine-tuning talkie on modern assistant data shifts its traits towards the web baseline.
We do observe EM and subliminal learning in talkie. Unsurprisingly, for EM talkie needs period-appropriate fine-tuning targets: insecure code doesn't trigger it, but demonstrations familiar to a 1920s mind (like listing bible verses) do.













