© 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
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 30-GEMMASCOPE-RES-16K
    6. 8701
    Prev
    Next
    INDEX
    Explanations

    phrases indicating potential outcomes or conditions for future scenarios

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "In" followed by a gerund or noun

    np_acts-logits-general · gemini-2.0-flash

    achieving in context

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fromnode
    -0.55
    complexContent
    -0.49
    ⅘
    -0.47
     saites
    -0.47
    enumi
    -0.47
    )}</
    -0.46
    </tfoot>
    -0.45
    ]")]
    -0.44
    Captor
    -0.44
     onPostExecute
    -0.44
    POSITIVE LOGITS
     achieving
    0.92
     creating
    0.92
     providing
    0.91
     bringing
    0.88
     delivering
    0.87
     accomplishing
    0.85
     dealing
    0.84
     handling
    0.84
     getting
    0.82
     solving
    0.82
    Activations Density 0.443%

    No Known Activations