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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. 14477
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    quantitative data related to medical conditions

    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
     endblock
    -0.56
     CreateTagHelper
    -0.52
     Autorizaciones
    -0.52
     CURIAM
    -0.49
     Debate
    -0.46
    ftagPool
    -0.46
     Normdatei
    -0.45
    WriteLiteral
    -0.45
    itinéraire
    -0.45
    debate
    -0.45
    POSITIVE LOGITS
     recurring
    0.39
     săptăm
    0.39
     repeating
    0.39
     ecológica
    0.39
     rând
    0.38
     telefónica
    0.35
     LayoutInflater
    0.34
    +:+
    0.34
     efectivos
    0.34
     repetitions
    0.34
    Activations Density 0.811%

    No Known Activations