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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 5758
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    Explanations

    references to athletes and their sports achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.55
    орк
    -0.50
    jsxFileName
    -0.50
    ]")]
    -0.47
    zeera
    -0.45
    eneuve
    -0.45
    dym
    -0.45
    NewReader
    -0.44
    AsUp
    -0.44
    webElementXpaths
    -0.44
    POSITIVE LOGITS
     athletics
    0.57
     athletic
    0.54
    Athletic
    0.50
     Athletic
    0.49
     athletes
    0.47
    athletic
    0.47
     volleyball
    0.47
    Athletics
    0.47
     basketball
    0.46
     football
    0.46
    Activations Density 0.097%

    No Known Activations