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pyvene 0.1.2 documentation

Guides

Contributing Guidelines
A Little Guide to Causal Abstraction
NDIF Integration

Basic tutorials

Introduction to pyvene
Activation Addition
Interchange Intervention
Intervening on subcomponents
Subspace Interventions
Trainable Interventions

Advanced tutorials

Causal Tracing (ROME)
Causal Evaluation of Probes
Intro to Distributed Alignment Search (DAS)
Boundless DAS
Replicating the IOI paper
IOI with DAS
IOI with Masked Interventions
Intervening on Vision-Language Models
Nested Hierarchical Structure with MQNLI
An Exploration on Voting Mechanisms

API

pyvene: Core API
- pyvene.data_generators
  - pyvene.data_generators.causal_model
    
    pyvene.data_generators.causal_model.simple_example
    
    pyvene.data_generators.causal_model.CausalModel
- pyvene.models

.rst

pyvene.models.modeling_utils.is_mlp

Contents

is_mlp()

pyvene.models.modeling_utils.is_mlp#

is_mlp(model)[source]#: Determine if this is a mlp model.

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is_mlp()

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