thejaminator / qwen-hook-layer-9-2ndsep-step-2000

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 2
30-day runs: 3
Model's Last Updated: September 03 2025

Introduction of qwen-hook-layer-9-2ndsep-step-2000

Model Details of qwen-hook-layer-9-2ndsep-step-2000

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
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-9-2ndsep-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.

Runs of thejaminator qwen-hook-layer-9-2ndsep-step-2000 on huggingface.co

5
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
3
30-day runs

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