lnum: 51
lnames: mlp (meaning: ["mlp.gate_proj.weight", "mlp.up_proj.weight", "mlp.down_proj.weight"])
rate: 8
dataset: bigbench (subset: causal_judgement)
intervention type: rank-reduction

Name	Validation acc (higher is better)	Validation logloss (lower is better)	Test acc (higher is better)	Test logloss (lower is better)
Pallas-0.5	55.263	1.650	60.526	1.463
Pallas-0.5-LASER-0.1	55.263	1.639	61.184	1.451
Pallas-0.5-LASER-0.2	55.263	1.646	61.184	1.458
Pallas-0.5-LASER-0.3	55.263	1.575	61.842	1.382
Pallas-0.5-LASER-0.4	55.263	1.525	61.842	1.326
Pallas-0.5-LASER-0.5	55.263	1.484	61.842	1.297
Pallas-0.5-LASER-0.6	55.263	1.455	61.184	1.283

In order to replicate on a single A100, you can use my branch (the original code will throw OOM for 34b models).

Prompt Format:

SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:

Mihaiii/Pallas-0.5-LASER-0.6