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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. 9146
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    INDEX
    Explanations

    references to specific food items or components of meals

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

    Types of meat (beef, pork, lamb)

    np_acts-logits-general · gemini-2.0-flash

    meat dishes and preparation

    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
    Carriera
    -0.63
    PendingIntent
    -0.62
    ThroughAttribute
    -0.62
     HasFactory
    -0.61
     AssemblyCulture
    -0.57
     Dap
    -0.56
    Бахар
    -0.54
    tinyos
    -0.54
     للمعارف
    -0.54
    SourceChecksum
    -0.53
    POSITIVE LOGITS
     beef
    0.97
     steak
    0.94
     steaks
    0.92
     cuts
    0.86
     ribe
    0.85
     sir
    0.83
     meat
    0.83
     Beef
    0.81
     flank
    0.79
     Steak
    0.79
    Activations Density 0.121%

    No Known Activations