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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. 7097
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    Explanations

    references to iconic fast food items and their characteristics

    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
    PMailer
    -0.59
    HostException
    -0.48
     wine
    -0.48
    Wine
    -0.47
    wine
    -0.45
    AndEndTag
    -0.45
    новништво
    -0.42
    ワイン
    -0.41
     Wine
    -0.41
    日本酒
    -0.40
    POSITIVE LOGITS
     Burger
    1.02
     burger
    1.02
     burgers
    0.96
     McDonald
    0.91
    Burger
    0.90
     fries
    0.83
     Wendy
    0.83
    burger
    0.82
    McDonald
    0.81
     hamburgers
    0.79
    Activations Density 0.187%

    No Known Activations