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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 127342
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    INDEX
    Explanations

    references to animal types, specifically canines, felines, equines, and bovines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    animal names ending in ine

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     houſe
    -0.71
     Houſe
    -0.69
     ſche
    -0.67
     Anſ
    -0.63
     perſon
    -0.59
     purpoſe
    -0.58
     étoit
    -0.58
     themſelves
    -0.58
     Eſ
    -0.57
     ſch
    -0.57
    POSITIVE LOGITS
     canine
    1.58
     Canine
    1.48
     feline
    1.07
     equine
    1.04
     bovine
    0.93
     avian
    0.81
     Avian
    0.79
     Swine
    0.67
     primate
    0.64
     swine
    0.63
    Activations Density 0.018%

    No Known Activations