© 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. 2-GEMMASCOPE-RES-16K
    11. 15036
    Prev
    Next
    INDEX
    Explanations

    terms associated with stress and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eschön
    -0.46
    ประมาณ
    -0.45
     caoutchouc
    -0.45
     mengenakan
    -0.44
     kasarigan
    -0.44
    KURZBESCHREIBUNG
    -0.44
     hennes
    -0.43
    ulemon
    -0.42
    ersham
    -0.41
     SEDS
    -0.41
    POSITIVE LOGITS
     confused
    0.88
     stress
    0.75
     stressed
    0.73
     Confused
    0.73
     Stress
    0.73
    Stress
    0.73
    stress
    0.71
    confused
    0.70
     fed
    0.65
    Confused
    0.65
    Activations Density 0.123%

    No Known Activations