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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. 30607
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    Explanations

    references to cheese

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

    cheese 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
    Rptr
    -0.56
    LogUtil
    -0.42
     Rptr
    -0.42
    ({_
    -0.42
    /−
    -0.40
    ]';
    -0.40
    '},
    -0.40
    Kaieteur
    -0.40
    normally
    -0.40
     ReactDOM
    -0.38
    POSITIVE LOGITS
     cheese
    2.14
     Cheese
    2.06
    Cheese
    1.95
    cheese
    1.91
     cheeses
    1.50
     Käse
    1.30
     chees
    1.17
    チーズ
    1.16
    🧀
    1.15
     Chees
    1.14
    Activations Density 0.003%

    No Known Activations