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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 118423
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    Explanations

    specific cooking instructions and techniques involving food preparation and processing

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

    cooking and baking surfaces

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.83
    
    -0.66
     المعيارى
    -0.64
     nahilalakip
    -0.60
     contextLoads
    -0.59
    featureID
    -0.58
    WebServlet
    -0.58
    inWeight
    -0.57
    +#+
    -0.57
    ValueStyle
    -0.57
    POSITIVE LOGITS
     الذ
    0.29
    ED
    0.28
    AR
    0.28
     succeeded
    0.27
     dest
    0.27
     PyTuple
    0.27
     followed
    0.26
     ar
    0.26
    PO
    0.26
    ="">
    0.26
    Activations Density 0.133%

    No Known Activations