© 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-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9908
    Prev
    Next
    INDEX
    Explanations

    expressions of frustration or intensity using the word "too."

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

    "Too" followed by an adjective or adverb

    np_acts-logits-general · gemini-2.0-flash

    too late, too bad, too many

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ly
    -0.62
     transfieras
    -0.58
    Rhestr
    -0.56
    adə
    -0.56
    に
    -0.54
    了
    -0.53
    Controllo
    -0.52
    mente
    -0.52
    fully
    -0.50
    ाहरण
    -0.49
    POSITIVE LOGITS
    thy
    0.84
     late
    0.74
    ths
    0.64
     soon
    0.61
    led
    0.60
    lless
    0.59
     busy
    0.58
     early
    0.56
    gether
    0.56
     much
    0.55
    Activations Density 0.038%

    No Known Activations