Steerling-8B: Direct Concept Control in Language Models Through Internal Representation Editing
By
luulinh90s
Toasted just enough. A reliable bake, gently seasoned.
Summary
Steerling-8B is a language model architecture that enables direct editing of internal representations to control concepts at inference time. Unlike traditional prompting, it allows injection and suppression of learned concepts without changing the input prompt. The model supports compositional control in multi-turn dialogues, enabling fine-grained manipulation of concepts like toxicity suppression while preserving fluency. This approach provides reliable, interpretable control over language model generation by directly manipulating human-interpretable concepts during inference.
Key quotes
· 5 pulledSteerling-8B's architecture natively supports injecting and suppressing any concept the model has learned, directly at inference time.
In multi-turn dialog settings, steering one concept at a time is insufficient. You need compositional control, not just on a neutral prompt, but on a conversation that is already shaped by prior context.
Consider a content moderation that must suppress toxicity yet preserve fluency.
We demonstrate reliable, fine-grained control over language model generation by directly injecting, suppressing, and composing human-interpretable concepts at inference time.
What if you could directly edit the internal representations of a model towards any concept you care about, without changing the prompt?
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