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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 90948
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    Explanations

    information related to land use types and their impact on rodent populations and health risks

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

    land use types

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mtrl
    -0.53
    <bos>
    -0.42
    fortawesome
    -0.42
    UrlEncoded
    -0.42
     consig
    -0.41
    MLLoader
    -0.41
    ℏ
    -0.41
    ngthen
    -0.40
    енча
    -0.40
     ClassNotFound
    -0.40
    POSITIVE LOGITS
     habitats
    0.89
     forests
    0.85
     habitat
    0.84
     paisaje
    0.83
     forested
    0.83
     ecosystems
    0.80
     vegetation
    0.80
     environments
    0.80
     landscapes
    0.79
     paisajes
    0.79
    Activations Density 0.168%

    No Known Activations