© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6722
    Prev
    Next
    INDEX
    Explanations

    inquiries related to the concept of "how."

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

    "how"

    np_acts-logits-general · gemini-2.0-flash

    how this situation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    しも
    -0.45
    cel
    -0.45
    too
    -0.45
    which
    -0.43
    largest
    -0.43
    注意点
    -0.43
     partenza
    -0.42
     encontra
    -0.42
    ágos
    -0.42
     maggiore
    -0.41
    POSITIVE LOGITS
     InputDecoration
    0.85
     much
    0.84
     lucky
    0.76
     thankful
    0.73
     willing
    0.73
     fortunate
    0.72
     utterly
    0.72
     grateful
    0.72
     amazed
    0.70
     surprised
    0.69
    Activations Density 0.064%

    No Known Activations