© 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
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 10472
    Prev
    Next
    INDEX
    Explanations

    phrases related to achieving goals or reaching targets

    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
    Storia
    -0.42
     jij
    -0.42
    Erreferentziak
    -0.40
    amma
    -0.39
     Mannes
    -0.37
    Einstellungen
    -0.37
     Szen
    -0.37
     esternos
    -0.37
    aspectj
    -0.36
     Audiodateien
    -0.36
    POSITIVE LOGITS
     reach
    1.16
     reaching
    1.13
     reaches
    1.08
     Reaching
    1.03
     reached
    1.02
     Reach
    1.02
    Reaching
    1.01
    reach
    0.99
    Reach
    0.98
    reaching
    0.88
    Activations Density 0.205%

    No Known Activations