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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 20-GEMMASCOPE-RES-131K
    11. 13874
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    Explanations

    references to materials, particularly in construction and food contexts

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

    building materials and coverings

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 20-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_20/width_131k/average_l0_81
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ilustracja
    -0.40
    >
    -0.36
     Verpflich
    -0.36
     reconhe
    -0.35
     cubiertas
    -0.35
     assistência
    -0.35
     Wilkins
    -0.35
     réalisées
    -0.34
     miró
    -0.34
     ediciones
    -0.34
    POSITIVE LOGITS
    évaluateur
    0.67
    parsedMessage
    0.61
    principalColumn
    0.59
     otomatig
    0.57
     NSCoder
    0.56
    fromCharCode
    0.54
    хьтан
    0.54
    featureID
    0.52
     BoxFit
    0.52
    stylers
    0.52
    Activations Density 0.167%

    No Known Activations