© 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. 37-GEMMASCOPE-RES-16K
    11. 7598
    Prev
    Next
    INDEX
    Explanations

    references to specific materials and their properties in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     métallique
    -0.44
     kovo
    -0.44
     logam
    -0.42
     perak
    -0.41
     metal
    -0.41
    JspWriter
    -0.40
     metálico
    -0.39
     METAL
    -0.39
     Metal
    -0.38
     metallic
    -0.38
    POSITIVE LOGITS
     steel
    0.98
     steels
    0.88
     Steel
    0.85
    Steel
    0.85
    steel
    0.83
     STEEL
    0.77
     grades
    0.73
     Grade
    0.71
    钢
    0.70
    鋼
    0.70
    Activations Density 0.304%

    No Known Activations