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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 8689
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    Explanations

    specific locations and types of food, particularly coffee and café experiences

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

    "coffee"

    np_acts-logits-general · gemini-2.0-flash

    coffee shops and culture

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    DockStyle
    -0.57
     ब्रेकडाउन
    -0.52
    parsedMessage
    -0.51
     الرياضيه
    -0.50
     toalha
    -0.47
     Suite
    -0.45
     ſch
    -0.45
    IsContent
    -0.45
     asupra
    -0.43
     borboleta
    -0.43
    POSITIVE LOGITS
     barista
    0.49
    espresso
    0.49
     espresso
    0.47
    MutableLiveData
    0.45
     Espresso
    0.43
     кофе
    0.42
     latte
    0.41
    CardContent
    0.41
    Espresso
    0.41
     coffee
    0.39
    Activations Density 0.104%

    No Known Activations