© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Jacobian LensNEW
    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsinterp-engineNEWAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 11467
    Prev
    Next
    INDEX
    Explanations

    terms related to woodworking and wooden materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CppMethod
    -0.60
    RenderAtEndOf
    -0.56
    tagext
    -0.54
     ExecuteAsync
    -0.53
    awaiter
    -0.52
    __':
    -0.50
    =$?
    -0.49
     désolés
    -0.48
    OGND
    -0.48
    FetchType
    -0.47
    POSITIVE LOGITS
     wood
    0.99
     timber
    0.95
     madera
    0.92
     woodworking
    0.90
     hardwood
    0.89
     wooden
    0.88
     Hardwood
    0.88
     Timber
    0.86
     Wooden
    0.86
    Timber
    0.85
    Activations Density 0.231%

    No Known Activations