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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12335
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    terms related to performance-enhancing features and technologies in sports apparel

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     réaliste
    -0.42
    TypedDataSet
    -0.42
    bildēt
    -0.41
    bagno
    -0.40
    orianCalendar
    -0.40
    GenerationType
    -0.40
     ensino
    -0.40
    pulseira
    -0.39
    Portály
    -0.39
     Wooden
    -0.39
    POSITIVE LOGITS
     Gore
    0.77
     waterproof
    0.71
    Gore
    0.70
     يتيمه
    0.69
     softshell
    0.68
     zipped
    0.66
     outerwear
    0.65
     gore
    0.65
     breat
    0.65
     breathable
    0.64
    Activations Density 0.152%

    No Known Activations