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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9208
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    INDEX
    Explanations

    terms related to lakes and aquatic environments

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

    lakes, ponds, or basins

    np_acts-logits-general · gemini-2.0-flash

    lakes and ponds

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 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
    XmlAccessorType
    -0.49
     papiers
    -0.48
    endsection
    -0.48
     бумаги
    -0.48
    IBarButtonItem
    -0.47
     rags
    -0.47
     StatelessWidget
    -0.46
     Paglinawan
    -0.46
    suff
    -0.45
    shaw
    -0.44
    POSITIVE LOGITS
     lake
    1.10
     Lake
    0.98
     lakes
    0.95
    Lake
    0.90
     pond
    0.88
     pool
    0.83
     LAKE
    0.81
     Lakes
    0.78
    lake
    0.74
     ponds
    0.72
    Activations Density 0.338%

    No Known Activations