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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 985
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    content related to hamburgers and cheeseburgers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AndEndTag
    -0.48
     Nespresso
    -0.47
    yntaxException
    -0.47
    новништво
    -0.44
    findpost
    -0.44
     vasi
    -0.42
     Unitarian
    -0.42
     acupuncture
    -0.42
     çiçek
    -0.42
    клопе
    -0.41
    POSITIVE LOGITS
     burger
    1.30
     burgers
    1.16
     Burger
    1.09
    burger
    1.02
    Burger
    0.99
     patty
    0.97
     hamburger
    0.97
     hamburgers
    0.94
    🍔
    0.92
     fries
    0.90
    Activations Density 0.220%

    No Known Activations