© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it
    Neuronpedia
    Jacobian LensNEW
    Natural Language
    Autoencoders
    MAY 26    Assistant AxisJAN 26Circuit TracerAPR 26SteerSAE EvalsExportsinterp-engineNEW Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2982
    Prev
    Next
    INDEX
    Explanations

    terms and phrases that indicate weakness or a lower strength in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Compatible
    -0.57
     Compatible
    -0.55
     compatibles
    -0.46
     compatible
    -0.46
    compatible
    -0.46
     Efficient
    -0.45
    Efficient
    -0.44
    
    -0.43
     dosis
    -0.43
    arXiv
    -0.43
    POSITIVE LOGITS
     usefulness
    0.77
     effectiveness
    0.71
     helpful
    0.71
     useful
    0.68
     útil
    0.64
     Effectiveness
    0.62
     Weak
    0.62
    useful
    0.61
     weak
    0.60
    weak
    0.60
    Activations Density 0.073%

    No Known Activations