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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 24
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    terms related to the evaluation and effectiveness of healthcare interventions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SequentialGroup
    -0.61
    Personendaten
    -0.59
    Toponymie
    -0.50
    EndInit
    -0.45
    ViewFeatures
    -0.43
     soñar
    -0.41
     typelib
    -0.41
    AutoScaleMode
    -0.41
    Referencies
    -0.40
    WarningLevel
    -0.40
    POSITIVE LOGITS
     care
    0.86
     patient
    0.76
     interventions
    0.65
     Care
    0.63
     healthcare
    0.60
    care
    0.60
    patient
    0.60
     zorg
    0.58
    Care
    0.56
     intervention
    0.56
    Activations Density 1.719%

    No Known Activations