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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. 8527
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    references to quarterback performance in football contexts

    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
     invokingState
    -0.49
    featureID
    -0.49
    WithMany
    -0.47
     offensively
    -0.47
    abestanden
    -0.41
    Życiorys
    -0.41
     resourceCulture
    -0.40
     offense
    -0.40
     Offense
    -0.40
     offensive
    -0.38
    POSITIVE LOGITS
     blit
    0.43
     gain
    0.43
     MEDIUM
    0.43
     Compulsory
    0.42
     Lipp
    0.41
     عم
    0.41
     medium
    0.40
     Gain
    0.40
    wolle
    0.40
     hesitated
    0.39
    Activations Density 0.083%

    No Known Activations