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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15168
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    information related to education or culinary expertise

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endmodule
    -0.42
    ampunk
    -0.42
    pendenti
    -0.40
    libft
    -0.40
    Життєпис
    -0.40
     uParam
    -0.40
     cuivre
    -0.38
     hObject
    -0.38
    tagHelperRunner
    -0.38
     Vierge
    -0.37
    POSITIVE LOGITS
     food
    2.67
     eating
    2.27
    food
    2.27
     FOOD
    2.25
    Food
    2.20
     Food
    2.19
     meals
    2.16
     foods
    2.06
    FOOD
    2.05
     eat
    2.03
    Activations Density 1.546%

    No Known Activations