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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 5299
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    Explanations

    prominent fashion designers and their collections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ContentAsync
    -0.47
    canestro
    -0.46
    providedIn
    -0.45
     judiciales
    -0.45
    ßerdem
    -0.45
    GeneratedMessage
    -0.44
    Diwedd
    -0.43
    -------
    -0.42
    WebVitals
    -0.42
     Vikipedi
    -0.42
    POSITIVE LOGITS
    enciaga
    0.74
    ragamo
    0.66
     fashion
    0.64
     designer
    0.63
    fashion
    0.63
     gabbana
    0.59
     cout
    0.57
     Fashion
    0.57
     Designer
    0.57
    Fashion
    0.57
    Activations Density 0.168%

    No Known Activations