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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11346
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    Explanations

    words related to sports teams and their performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.64
    RectangleBorder
    -0.59
    orianCalendar
    -0.54
    extAlignment
    -0.49
    InjectAttribute
    -0.49
    AnchorTagHelper
    -0.48
    PostInfinity
    -0.47
    ///</
    -0.46
     Importing
    -0.46
    épaisseur
    -0.46
    POSITIVE LOGITS
     domination
    0.55
     overkill
    0.52
     blowout
    0.44
     dominant
    0.42
     dominance
    0.42
     overwhelming
    0.41
    domin
    0.40
     easy
    0.40
     dominate
    0.39
     dominating
    0.39
    Activations Density 0.259%

    No Known Activations