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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. 43142
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    INDEX
    Explanations

    descriptors and evaluations related to quality and construction of products, particularly clothing and equipment

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

    quality and construction

    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
     PartialEq
    -0.39
    ⓧ
    -0.39
     transpiration
    -0.38
    INSEE
    -0.37
     area
    -0.37
    的面
    -0.37
     []:
    -0.37
    meteries
    -0.36
     Shahid
    -0.35
    xase
    -0.35
    POSITIVE LOGITS
    RenderAtEndOf
    0.55
    hyrchwyd
    0.52
    quality
    0.49
    usermodel
    0.48
     kvalitet
    0.47
    Quality
    0.47
    ]};
    0.46
    ])));
    0.46
     jakość
    0.45
    </>
    0.45
    Activations Density 0.109%

    No Known Activations