You can deploy this model and start earning money today!

thejaminator/
qwen-hook-layer-1-2ndsep-step-2000

Name: qwen-hook-layer-1-2ndsep-step-2000
Availability: InStock

Views

No views yet

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/Qwen3-8B
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/Qwen3-8B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-8B")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "thejaminator/qwen-hook-layer-1-2ndsep-step-2000")

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.