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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9925
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    references to patient outcomes and response rates in medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.52
    +#+#
    -0.42
    InjectAttribute
    -0.41
    RenderAtEndOf
    -0.40
     виправивши
    -0.40
    ngdoc
    -0.39
    domo
    -0.38
     AssemblyCompany
    -0.37
    fromnode
    -0.36
     stanovnika
    -0.35
    POSITIVE LOGITS
     rate
    3.84
     Rate
    3.47
     rates
    3.45
    Rate
    3.28
    rate
    3.14
     Rates
    3.13
     RATE
    3.11
    Rates
    2.89
    rates
    2.78
     RATES
    2.77
    Activations Density 1.306%

    No Known Activations