© 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. 2539
    Prev
    Next
    INDEX
    Explanations

    instances of the word "bear" and its variations

    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
     nahilalakip
    -0.47
     myſelf
    -0.46
    帖最后由
    -0.45
     fubject
    -0.43
     rústica
    -0.42
     autorytatywna
    -0.42
    存于互联网档案馆
    -0.42
    PMailer
    -0.41
     ſmall
    -0.41
     perſon
    -0.40
    POSITIVE LOGITS
     bear
    1.66
     bears
    1.52
     Bear
    1.41
     BEAR
    1.38
    bear
    1.37
    Bear
    1.37
     Bears
    1.28
    bears
    1.21
    BEAR
    1.16
    Bears
    1.15
    Activations Density 0.103%

    No Known Activations