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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. 127805
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    Explanations

    references to different types of buns, particularly hamburger buns

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

    buns, bunnies, and bunkers

    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
     betweenstory
    -0.51
    DataAnnotations
    -0.47
    ể
    -0.46
     égard
    -0.43
     händ
    -0.42
    '));
    -0.41
    ']);
    -0.41
    BASEPATH
    -0.41
     către
    -0.40
    SQLiteDatabase
    -0.40
    POSITIVE LOGITS
     bun
    2.67
     Bun
    2.58
    Bun
    2.50
    bun
    2.36
     BUN
    2.00
    BUN
    1.91
     buns
    1.86
     Bunker
    1.38
     bunker
    1.30
     bunnies
    1.30
    Activations Density 0.002%

    No Known Activations