© 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. 0-GEMMASCOPE-RES-16K
    11. 6162
    Prev
    Next
    INDEX
    Explanations

    instances of accuracy and correctness 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 @ 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
     theme
    -0.50
     tri
    -0.49
     Tri
    -0.49
     trail
    -0.47
     meta
    -0.46
    meta
    -0.44
     memory
    -0.44
     bench
    -0.44
     metaphor
    -0.43
     bias
    -0.43
    POSITIVE LOGITS
    perfect
    0.88
     perfect
    0.84
     copyright
    0.84
     correct
    0.83
    accurate
    0.83
     accurate
    0.81
    Perfect
    0.79
     perfectos
    0.78
     perfeita
    0.77
     perfecta
    0.77
    Activations Density 0.226%

    No Known Activations