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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. 90327
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    Explanations

    references to restaurant experiences and dining contexts

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

    restaurants and dining experiences

    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
    TagMode
    -0.56
     EconPapers
    -0.55
    ecycle
    -0.48
    PostInfinity
    -0.47
    chtend
    -0.47
     senescence
    -0.46
    +#+#
    -0.46
    LabelTagHelper
    -0.46
     resourceCulture
    -0.45
    \{\\
    -0.45
    POSITIVE LOGITS
     restaurant
    1.69
     dining
    1.46
     restaurants
    1.43
     Restaurant
    1.42
     diners
    1.38
    Restaurant
    1.34
    restaurant
    1.30
     eatery
    1.28
     restaurante
    1.26
     dined
    1.22
    Activations Density 0.244%

    No Known Activations