© 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-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 12548
    Prev
    Next
    INDEX
    Explanations

    phrases that indicate prevalence or frequency of various topics, problems, or conventions

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

    "common" or "commonly"

    np_acts-logits-general · gemini-2.0-flash

    most common

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    StoryboardSegue
    -0.57
    Personendaten
    -0.52
    eneuve
    -0.46
    Insee
    -0.43
    ValueStyle
    -0.42
    Története
    -0.41
    Diwedd
    -0.41
    =<?
    -0.41
    RTEE
    -0.41
     AppCompatTheme
    -0.41
    POSITIVE LOGITS
     commonly
    0.96
     common
    0.88
     popular
    0.82
    commonly
    0.79
     Commonly
    0.78
     typical
    0.76
    Common
    0.75
     frequently
    0.75
    common
    0.71
     Common
    0.71
    Activations Density 0.701%

    No Known Activations