© 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
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8344
    Prev
    Next
    INDEX
    Explanations

    terms related to accuracy and correctness in diagnostic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SPA
    -0.50
     spa
    -0.50
     itemList
    -0.50
    Sia
    -0.49
     Barba
    -0.49
    Grove
    -0.49
     Vella
    -0.49
     BIP
    -0.48
     LTS
    -0.48
    Tania
    -0.48
    POSITIVE LOGITS
     accuracy
    0.79
     Correct
    0.79
     CORRECT
    0.75
     Accurate
    0.74
     correct
    0.74
     ACCUR
    0.73
     corect
    0.73
     wrong
    0.72
     correto
    0.72
    correct
    0.71
    Activations Density 0.378%

    No Known Activations