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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 11970
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    terms related to nasal and respiratory conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =$?
    -0.58
    Personendaten
    -0.56
    DriverManager
    -0.52
    蚪
    -0.51
    MPC
    -0.44
    tanleria
    -0.44
    PRET
    -0.44
    SLA
    -0.44
    Pyx
    -0.43
     MPC
    -0.42
    POSITIVE LOGITS
     Nose
    0.95
     nose
    0.94
     nasal
    0.85
     noses
    0.85
    Nose
    0.83
     Nasal
    0.81
     nariz
    0.81
     鼻
    0.70
    鼻
    0.69
    nose
    0.68
    Activations Density 0.545%

    No Known Activations