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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 11000
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    Explanations

    associations between various health conditions and risk factors in statistical analyses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
     experiment
    -0.53
     experiments
    -0.49
     experimented
    -0.46
     piaci
    -0.46
     freeze
    -0.45
     Experiment
    -0.45
     opinion
    -0.45
     freezes
    -0.45
     CreateTagHelper
    -0.44
     arca
    -0.44
    POSITIVE LOGITS
     risk
    0.98
    Risk
    0.83
    risk
    0.82
     Risk
    0.81
     للاسماء
    0.75
     adjusted
    0.74
     hazard
    0.73
     odds
    0.73
     riesgo
    0.71
     Hazard
    0.71
    Activations Density 3.036%

    No Known Activations