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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9325
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    phrases related to academic qualifications and professional titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '{@
    -0.47
    rigkeit
    -0.47
    mpotent
    -0.45
     Cradle
    -0.45
     cyst
    -0.45
    taxia
    -0.43
     parrot
    -0.43
     cysts
    -0.43
    hlands
    -0.42
     Distance
    -0.42
    POSITIVE LOGITS
     Harvard
    0.85
     Yale
    0.80
     Princeton
    0.80
    Harvard
    0.79
    Yale
    0.72
    Princeton
    0.71
     Stanford
    0.65
     HARVARD
    0.59
    Stanford
    0.59
     Cambridge
    0.57
    Activations Density 0.417%

    No Known Activations