© 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. 36-GEMMASCOPE-RES-16K
    11. 5307
    Prev
    Next
    INDEX
    Explanations

    terms related to health benefits of specific nutrients and ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.47
     betweenstory
    -0.46
     sarili
    -0.44
    ᅠ
    -0.44
     protoimpl
    -0.41
    cfm
    -0.39
     kaarangay
    -0.39
    WithIdentifier
    -0.37
     JADX
    -0.37
    olarmente
    -0.36
    POSITIVE LOGITS
     stimulate
    0.88
     improve
    0.88
     stimulates
    0.84
     boost
    0.84
     relieve
    0.82
     regulate
    0.82
    Improve
    0.81
     improves
    0.81
     promote
    0.81
     relieves
    0.80
    Activations Density 0.293%

    No Known Activations