© 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. 8039
    Prev
    Next
    INDEX
    Explanations

    terms related to hunting equipment and practices

    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
     BEACH
    -0.40
     Beach
    -0.38
     kú
    -0.35
    Beach
    -0.35
     Hivatalos
    -0.34
     समु
    -0.32
     galvan
    -0.31
    caris
    -0.31
     beach
    -0.30
     Flamengo
    -0.30
    POSITIVE LOGITS
     hunting
    1.92
     hunters
    1.81
     hunter
    1.67
     Hunting
    1.65
     hunt
    1.63
    Hunting
    1.63
    hunting
    1.63
     hunts
    1.54
     hunted
    1.53
     deer
    1.48
    Activations Density 0.172%

    No Known Activations