How bramchennakagawa-backuparchive/mechlens-backup works
mechlens is a mechanistic-interpretability toolkit for running transformer models with named hooks on internal activations. Its principal workflow is to load a pretrained model, run inputs, and inspect or alter cached activations. The graph also captures architecture bridging, analysis utilities, evaluation, and the optional LIT visualization wrapper. The README documents broad model coverage and hook capabilities; sampled source confirms selected runtime paths, but not every integration or subsystem connection.
Main entry points: HookedTransformer.py HookedTransformer · bridge.py Model bridge · transformers.py HF model loading · components Transformer components
Components 18
Loading and bridging
- HF model loading
transformer_lens/model_bridge/sources/transformers.py - Model bridge
transformer_lens/model_bridge/bridge.py - Architecture adapters
transformer_lens/model_bridge/supported_architectures - Bridge components
transformer_lens/model_bridge/generalized_components - Weight conversion
transformer_lens/weight_processing.py
Model runtime
- HookedTransformer
transformer_lens/HookedTransformer.py - Model configuration
transformer_lens/config/hooked_transformer_config.py - Transformer components
transformer_lens/components - KV cache
transformer_lens/cache/key_value_cache.py
Interpretability
- Hook points
transformer_lens/hook_points.py - Activation cache
transformer_lens/ActivationCache.py
Analysis and extensions
- Activation analysis
transformer_lens/tools/analysis - SVD interpretation
transformer_lens/SVDInterpreter.py - Evaluations
transformer_lens/evals.py - LIT visualization
transformer_lens/lit/model.py - Training utilities
transformer_lens/train.py
Other components
- Engineer
- Hugging Face
Connections 18
- Engineer → HookedTransformer: runs model
- HookedTransformer → HF model loading: loads pretrained
- HF model loading → Hugging Face: fetches model
- HF model loading → Model bridge: constructs bridge
- Model bridge → Architecture adapters: selects adapter
- Model bridge → Bridge components: wraps components
- Model bridge → Weight conversion: processes weights
- HookedTransformer → Model configuration: uses config
- HookedTransformer → Transformer components: runs components
- HookedTransformer → Hook points: dispatches hooks
- Transformer components → Hook points: fires hooks
- HookedTransformer → Activation cache: collects activations
- HookedTransformer → KV cache: updates cache
- Engineer → Activation analysis: analyzes activations
- Engineer → SVD interpretation: interprets matrices
- Engineer → Evaluations: evaluates models
- Engineer → LIT visualization: visualizes model
- Engineer → Training utilities: trains models