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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5871
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    Explanations

    terms related to food quality and dining experiences

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

    Food quality and satisfaction

    np_acts-logits-general · gemini-2.0-flash

    food quality and positive evaluation

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.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
    Билгалдахарш
    -0.79
    ⓧ
    -0.78
     informée
    -0.74
     disambiguazione
    -0.71
     estekak
    -0.71
     ſeinen
    -0.68
    homonymie
    -0.67
     utafitiHapana
    -0.65
    ſchen
    -0.65
     dieſes
    -0.65
    POSITIVE LOGITS
     quality
    0.44
     cocin
    0.37
     cook
    0.35
     razonable
    0.34
     food
    0.33
    quality
    0.33
     qualité
    0.30
     excellent
    0.29
     calidad
    0.29
     reasonable
    0.28
    Activations Density 0.059%

    No Known Activations