© 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 EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 109334
    Prev
    Next
    INDEX
    Explanations

    references to weight loss and body composition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    body weight and fitness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     defaultstate
    -0.58
     betweenstory
    -0.54
     linkovi
    -0.53
     समीक्षक
    -0.47
    
    -0.47
     ExecuteAsync
    -0.47
    Aiheesta
    -0.45
    writeFieldEnd
    -0.43
     disambiguazione
    -0.43
    脚注の使い方
    -0.43
    POSITIVE LOGITS
     fat
    0.51
     slimming
    0.47
     diet
    0.46
     adipo
    0.46
     Fat
    0.44
    ſelf
    0.44
     Skinny
    0.44
     Workout
    0.43
    belts
    0.42
     fitness
    0.42
    Activations Density 0.018%

    No Known Activations