Model‑Zempic Presentation Index

Quick links to all slides and research pages
Intro

Project overview and goals.

Create Toxic Model

Continued pretraining on toxic data → θ_toxic.

Toxic Dataset Examples

Sanitized samples and refinement note.

Extract Toxicity Vector

τ = θ_toxic − θ_base.

Toxic Vector Injection

θ_toxified = θ_clean + α·τ_toxic.

Related Research

Task vectors and residual instruction porting.

Refusal Rates Scatter

Thinking vs no-thinking refusal metrics (embedded plots).

Analysis & Takeaways

Conclusions on refusal, thinking time, and vector effects.

Sample Results Table

Prompt with original vs broken "thinking" summaries.

Next Steps & Future Directions

Actionable follow‑ups for evaluation, comparisons, and scaling.

References

Links to services, models, datasets, and collaborators.