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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. 34986
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    INDEX
    Explanations

    references to various animals and their characteristics

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

    fox, raccoon, badger, ferret, opossum

    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
     جات
    -0.39
     signé
    -0.38
     Cabral
    -0.38
    Comfort
    -0.36
     energético
    -0.36
    URSS
    -0.35
     energías
    -0.34
     Eggers
    -0.34
     salud
    -0.34
     Lingkungan
    -0.33
    POSITIVE LOGITS
     foxes
    1.04
     fox
    0.99
     Foxes
    0.87
     Raccoon
    0.80
     Badger
    0.79
    shund
    0.77
     Fox
    0.77
    fox
    0.74
     ferret
    0.74
     badger
    0.73
    Activations Density 0.021%

    No Known Activations