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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 8787
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    Explanations

    specific luxury car brands and their attributes

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

    names starting with carlo

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Przypisy
    -0.63
    WebElementEntity
    -0.60
    webElementXpaths
    -0.60
    BufferException
    -0.59
    RTLR
    -0.57
     ſind
    -0.57
     defaultstate
    -0.56
     kasarigan
    -0.56
     AspNetCore
    -0.55
    Zeneca
    -0.55
    POSITIVE LOGITS
     doors
    0.58
     Doors
    0.49
    Doors
    0.47
     Türen
    0.46
     door
    0.45
    doors
    0.40
     portas
    0.39
     двери
    0.37
     дверей
    0.35
     Bert
    0.33
    Activations Density 0.023%

    No Known Activations