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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6514
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    Explanations

    references to blood and related medical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    farer
    -0.42
     marito
    -0.41
    orini
    -0.41
    entierung
    -0.41
    undaki
    -0.40
     initComponents
    -0.40
    weile
    -0.40
    indest
    -0.40
    NCIA
    -0.39
     Forte
    -0.38
    POSITIVE LOGITS
     blood
    4.13
    Blood
    3.72
     Blood
    3.72
    blood
    3.70
     BLOOD
    3.52
    BLOOD
    3.23
    血
    2.84
     sangre
    2.72
     bloed
    2.69
     sangue
    2.59
    Activations Density 0.162%

    No Known Activations