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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 2246
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    Explanations

    references to various types of meat and meat dishes in the text

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

    eating meat

    np_acts-logits-general · gemini-2.0-flash

    meat and beef

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.81
     فريبيس
    -0.76
     AssemblyCulture
    -0.76
    Personendaten
    -0.76
    CloseOperation
    -0.74
     HasFactory
    -0.74
    WEBPACK
    -0.73
    UserScript
    -0.71
     EconPapers
    -0.69
     Bubble
    -0.67
    POSITIVE LOGITS
     meat
    1.37
     steak
    1.17
     Meat
    1.13
     meats
    1.13
    meat
    1.12
    Meat
    1.09
     MEAT
    1.08
     steaks
    0.99
     beef
    0.99
     Steak
    0.97
    Activations Density 0.220%

    No Known Activations