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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 7629
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    Explanations

    elements related to dining experiences and food choices

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

    meals, food, and dining experiences.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tagHelperRunner
    -0.49
    IndentedString
    -0.41
    AndEndTag
    -0.41
    expose
    -0.41
     GenerationType
    -0.40
     виправивши
    -0.40
    minecraftforge
    -0.39
    modity
    -0.39
     فريبيس
    -0.39
     exposing
    -0.38
    POSITIVE LOGITS
     lunch
    2.59
     dinner
    2.30
     Lunch
    2.17
    lunch
    2.13
    Lunch
    2.08
     breakfast
    2.02
     LUNCH
    1.93
     lunches
    1.92
     Dinner
    1.91
    Dinner
    1.90
    Activations Density 0.222%

    No Known Activations