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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 24
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    Explanations

    food dishes and their descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bons
    -0.52
     Japon
    -0.48
     sandwich
    -0.48
     Oscar
    -0.47
    colates
    -0.46
    寿司
    -0.46
     Sandwich
    -0.45
     smar
    -0.44
     japon
    -0.44
     bagel
    -0.44
    POSITIVE LOGITS
     stew
    0.57
     Stew
    0.46
    Authentic
    0.45
    الحياه
    0.41
     Authentic
    0.41
     חיצוניים
    0.40
     mutton
    0.40
     InputDecoration
    0.39
    #
    0.39
     lamb
    0.39
    Activations Density 0.205%

    No Known Activations