2026-07-22 | Maxwell
Goal: Verify RASP-L Implementation Gemma3-4b-it algorithm
Summary: Try using instruction-tuned Gemma model to run translation experiments
Work sessions
| In | Out | Task |
|---|---|---|
| 09:30 | 12:00 | Gemma |
| 13:30 | 15:00 | Outer Products Lecture |
| 15:00 | 16:00 | Hypothesis Generation Pipeline Lecture |
| 16:00 | 17:00 | Gemma |
Goals
- Gemma3-4b-it Causal Abstraction with different English words
- Refactor into experiment 2
- Understand how a DAS experiment would work (what to hypothesize as a variable in H β N)
- Depth (keep the same recursive structure but then just swap the βthatβ activation somewhere else)
Meetings
- Iskarous 1:30pm
- Robin 3pm
Summary
- π‘ [in progress] Gemma3-4b-it Causal Abstraction with different English words
- π’ Understand how a DAS experiment would work (what to hypothesize as a variable in H β N)
- Realized a mistake in the RASP-L program; uses bidirectional encoder instead of a causal decoder style
Consensus from professors that toy models will be super cool way to validate pipeline and icing on top is pretrained/instruction tuned models