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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. 53248
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    Explanations

    words related to cooking methods and food preparation, particularly steaming and Asian dishes

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

    cooking methods and dishes

    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
    RotationOrder
    -0.55
     للمعارف
    -0.44
    RegistryLite
    -0.43
    RTLE
    -0.42
     AssemblyCulture
    -0.42
     increí
    -0.41
    RTDA
    -0.41
     disponibilités
    -0.40
     mapStateToProps
    -0.40
    Искәрмәләр
    -0.40
    POSITIVE LOGITS
     boiled
    0.72
    boiled
    0.65
     steamed
    0.64
     boil
    0.62
    boil
    0.55
     Boil
    0.49
    Boiling
    0.48
     steam
    0.48
    boiling
    0.48
     MainAxisSize
    0.47
    Activations Density 0.022%

    No Known Activations