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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 14588
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    Explanations

    terms related to different types of sand and dirt

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

    "sand" or "mud"

    np_acts-logits-general · gemini-2.0-flash

    sand, dust, mud and names

    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
    idemia
    -0.62
    SuppressMessage
    -0.52
    ngdoc
    -0.48
    onCreate
    -0.48
     απα
    -0.48
    Referanser
    -0.47
     lemah
    -0.47
    iços
    -0.46
     vapeur
    -0.46
     cref
    -0.45
    POSITIVE LOGITS
    iness
    0.78
    IVEREF
    0.71
    riwal
    0.70
     OFDb
    0.66
     resourceCulture
    0.66
    ьаж
    0.65
    covered
    0.64
    脚注の使い方
    0.64
    Covered
    0.61
     ligiloj
    0.60
    Activations Density 0.193%

    No Known Activations