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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8776
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    references to specific players and their performance within a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AddTagHelper
    -0.64
    ValueStyle
    -0.59
    expandindo
    -0.59
     CreateTagHelper
    -0.57
    webElementXpaths
    -0.54
    addCriterion
    -0.54
    tagPool
    -0.52
    CppMethod
    -0.52
    createTextNode
    -0.52
    Демографія
    -0.51
    POSITIVE LOGITS
     ,
    2.05
     )
    1.35
     ).
    1.28
     ，
    1.27
     ،
    1.27
     ,
    1.27
     ),
    1.25
     ;
    1.20
     .”
    1.19
     、
    1.11
    Activations Density 0.981%

    No Known Activations