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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 111689
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    Explanations

    references to supermarkets and their characteristics

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

    retail stores and supermarkets

    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
     Coca
    -0.41
     McDonald
    -0.40
     Spar
    -0.39
     Cent
    -0.39
     Sul
    -0.39
     KFC
    -0.38
     Burger
    -0.37
     Pizza
    -0.37
     Spice
    -0.37
    Unary
    -0.36
    POSITIVE LOGITS
     retail
    0.69
     stores
    0.65
     retailers
    0.64
    httphttps
    0.63
    Retail
    0.62
    retail
    0.61
    isContained
    0.61
     RETAIL
    0.60
     retailer
    0.59
    #+#
    0.55
    Activations Density 0.028%

    No Known Activations