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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. 5412
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    Explanations

    references to different types of burgers and their components

    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
     risotto
    -0.40
    djangoproject
    -0.39
    xFFFFFF
    -0.39
    scriptcase
    -0.38
     tunik
    -0.38
     voren
    -0.37
    Hibernate
    -0.37
    momix
    -0.36
     navideña
    -0.35
     Column
    -0.34
    POSITIVE LOGITS
     burger
    1.02
    Burger
    0.91
     Burger
    0.90
    🍔
    0.89
     sandwich
    0.89
     burgers
    0.87
     hamburger
    0.85
     patty
    0.83
     Sandwich
    0.82
    sandwich
    0.81
    Activations Density 0.164%

    No Known Activations