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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. 13915
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    Explanations

    references to food and drinks, particularly those related to specific items or brands

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

    Scorsese, margarita, latte

    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
    yelitis
    -0.59
     Biôgrafia
    -0.58
     protoimpl
    -0.55
     Helmholtz
    -0.52
    mybatisplus
    -0.50
     Mozilla
    -0.49
     Gunther
    -0.47
     Theil
    -0.46
     DialogInterface
    -0.45
     Clo
    -0.45
    POSITIVE LOGITS
     margar
    1.01
     Margar
    0.92
     margarita
    0.88
     Margarita
    0.80
    getConfig
    0.74
     getConfig
    0.72
     margarine
    0.71
     Latte
    0.61
     đá
    0.60
     pecan
    0.60
    Activations Density 0.007%

    No Known Activations