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ceselder/
MLAO-Qwen3-4B-3L-1N-distinct-tokens-step-5000

Name: MLAO-Qwen3-4B-3L-1N-distinct-tokens-step-5000
Availability: InStock

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LoRA Adapter for SAE Introspection

This is a LoRA (Low-Rank Adaptation) adapter trained for SAE (Sparse Autoencoder) introspection tasks.

Base Model

Base Model: Qwen/Qwen3-4B
Adapter Type: LoRA
Task: SAE Feature Introspection

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

# Load base model and tokenizer
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-4B")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "ceselder/MLAO-Qwen3-4B-3L-1N-distinct-tokens-step-5000")

Training Details

This adapter was trained using the lightweight SAE introspection training script to help the model understand and explain SAE features through activation steering.