© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    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
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 9763
    Prev
    Next
    INDEX
    Explanations

    terms related to "target" or "tar," particularly in a context related to health or medical scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TestingModule
    -0.50
    RenderAtEndOf
    -0.43
     OnInit
    -0.42
    strual
    -0.39
     Kenntnis
    -0.38
    enumii
    -0.37
    ValueGenerated
    -0.37
     TestBed
    -0.37
    ]^{-
    -0.37
     role
    -0.36
    POSITIVE LOGITS
     tar
    1.13
     Target
    1.11
    Target
    1.05
     Tar
    1.05
     target
    1.02
    Tar
    0.99
     TARGET
    0.94
    target
    0.93
     TAR
    0.91
    TARGET
    0.88
    Activations Density 0.252%

    No Known Activations