© 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. 1-GEMMASCOPE-RES-16K
    11. 1715
    Prev
    Next
    INDEX
    Explanations

    references to bears and their various contexts in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Hentet
    -0.49
     arriving
    -0.45
     فريبيس
    -0.42
     arrive
    -0.41
     opak
    -0.41
    homonymie
    -0.41
    Bronnen
    -0.41
     дописавши
    -0.41
    Einzelnachweise
    -0.40
     Rhetoric
    -0.40
    POSITIVE LOGITS
     bearing
    0.56
    UV
    0.54
     bear
    0.53
     uv
    0.53
     Pair
    0.52
    Pair
    0.52
     forKey
    0.52
    Parse
    0.51
    readObject
    0.50
     об
    0.49
    Activations Density 0.184%

    No Known Activations