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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 8337
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    Explanations

    references to food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DIPSETTING
    -0.45
     poussière
    -0.44
     prints
    -0.44
    prints
    -0.42
    __*/
    -0.42
    Personensuche
    -0.41
     coats
    -0.41
     gowns
    -0.40
     jams
    -0.39
     jackets
    -0.39
    POSITIVE LOGITS
     dish
    1.35
     plate
    1.15
     meal
    1.02
     bowl
    0.91
     platter
    0.88
     Dish
    0.81
     entree
    0.80
    dish
    0.77
     treat
    0.77
    plate
    0.76
    Activations Density 0.263%

    No Known Activations