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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 11804
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    INDEX
    Explanations

    descriptive phrases about landscapes and nature

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    Describing visually appealing natural environments

    np_acts-logits-general · gemini-2.0-flash

    beautiful scenery and landscapes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    httphttps
    -0.65
    Tikang
    -0.44
    ActionCreators
    -0.44
     pinulongan
    -0.44
     crossorigin
    -0.42
    webElementXpaths
    -0.41
     Audiodateien
    -0.41
    kháu
    -0.40
     HasFactory
    -0.40
    makeConstraints
    -0.40
    POSITIVE LOGITS
     beautiful
    1.23
     scenery
    1.17
    beautiful
    1.13
     picturesque
    1.13
     scenic
    1.09
     landscapes
    1.08
     breathtaking
    1.06
     Beautiful
    1.04
     beauty
    1.03
    Beautiful
    1.01
    Activations Density 0.256%

    No Known Activations