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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4173
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    Explanations

    references to medical treatments and their effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tanleria
    -0.36
    SharedCtor
    -0.36
     ffilmiau
    -0.33
     Wör
    -0.33
    othek
    -0.32
    ushchev
    -0.32
     Picchu
    -0.32
    asztal
    -0.31
     اق
    -0.31
     Badge
    -0.30
    POSITIVE LOGITS
     treatment
    3.52
     treat
    3.30
     treated
    3.17
     treating
    3.16
     Treatment
    3.14
    treatment
    3.08
    treat
    3.06
    Treatment
    3.05
     Treat
    2.98
     TREATMENT
    2.89
    Activations Density 2.070%

    No Known Activations