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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. 13691
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    Explanations

    evaluative language pertaining to food and dining experiences

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

    descriptions of food quality and taste in restaurant reviews.

    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
     kasarigan
    -0.56
     JpaRepository
    -0.55
    WebElementEntity
    -0.50
    SpringBootTest
    -0.47
     bluzka
    -0.46
     Werken
    -0.44
     kurtka
    -0.44
    SpringRunner
    -0.44
     recours
    -0.43
     productName
    -0.43
    POSITIVE LOGITS
     fresh
    0.64
     hot
    0.63
     freshly
    0.59
    fresh
    0.59
    hot
    0.59
     tasted
    0.57
     delivered
    0.55
     taste
    0.54
     freshness
    0.54
     cooked
    0.52
    Activations Density 0.088%

    No Known Activations