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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 12344
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    numerical data related to time and age demographics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     onResponse
    -0.56
     ExecuteAsync
    -0.52
    #+#
    -0.49
     onPostExecute
    -0.47
    #
    -0.47
    \{\\
    -0.46
     Zey
    -0.46
     onBind
    -0.46
     kasarigan
    -0.45
     CGRect
    -0.45
    POSITIVE LOGITS
     Hingga
    0.56
     Comprometido
    0.47
     hingga
    0.47
     hanggang
    0.45
    부터
    0.45
    ถึง
    0.43
    ksesta
    0.42
     onwards
    0.41
     až
    0.40
     Lingkungan
    0.40
    Activations Density 0.807%

    No Known Activations