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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. 19673
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    Explanations

    references to beverages, particularly wine and food pairings

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

    wine with food pairings

    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
     unusable
    -0.45
     uninsured
    -0.45
    cuador
    -0.43
    converted
    -0.43
     marketable
    -0.43
     converted
    -0.42
     enforceable
    -0.42
     betweenstory
    -0.42
     municipales
    -0.41
     miglia
    -0.41
    POSITIVE LOGITS
     pairings
    0.85
     pairing
    0.85
    Pairing
    0.77
     Pairing
    0.74
    pairing
    0.68
     cuisines
    0.65
     pairs
    0.64
     Speisen
    0.62
     dinner
    0.61
     seafood
    0.60
    Activations Density 0.009%

    No Known Activations