© 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. 34-GEMMASCOPE-RES-16K
    11. 8544
    Prev
    Next
    INDEX
    Explanations

    references to the word "heavy" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vidare
    -0.36
     싶
    -0.36
     admit
    -0.35
    明らかに
    -0.34
    ۪
    -0.34
     ingresar
    -0.33
     simplicité
    -0.33
     volando
    -0.33
     mínimo
    -0.33
    alignSelf
    -0.33
    POSITIVE LOGITS
    Heavy
    1.30
     Heavy
    1.30
     heavy
    1.24
    heavy
    1.23
     HEAVY
    1.16
     duty
    1.13
     Duty
    1.06
    duty
    1.06
    Duty
    1.04
     heaviest
    1.04
    Activations Density 0.113%

    No Known Activations