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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 9887
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    Explanations

    references to cheese and its various forms or preparations in food descriptions

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

    cheese

    np_acts-logits-general · gemini-2.0-flash

    cheese words and modifiers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ècie
    -0.58
    oredCriteria
    -0.56
    alerie
    -0.55
    cienti
    -0.55
     Gustav
    -0.53
    DJANGO
    -0.53
    SequentialGroup
    -0.52
     Piston
    -0.50
     Khartoum
    -0.49
    UnusedPrivate
    -0.49
    POSITIVE LOGITS
     cheese
    1.17
     cheeses
    1.02
     Cheese
    0.97
    Cheese
    0.90
     cheddar
    0.89
    cheese
    0.88
     Brie
    0.83
     Cheddar
    0.82
    Brie
    0.79
    käse
    0.79
    Activations Density 0.109%

    No Known Activations