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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13618
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    INDEX
    Explanations

    descriptive features and attributes of products, particularly focusing on materials and design details

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

    "leather" or similar materials

    np_acts-logits-general · gemini-2.0-flash

    leather and hides

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GOTREF
    -0.51
    messageInfo
    -0.48
     nonatomic
    -0.48
     playera
    -0.44
     yyb
    -0.44
    Propel
    -0.43
    tierrez
    -0.42
     pesto
    -0.42
     mxArray
    -0.42
    HomeAsUpEnabled
    -0.41
    POSITIVE LOGITS
     leather
    1.44
     Leather
    1.30
    Leather
    1.27
    leather
    1.27
     cuero
    1.04
     چرم
    1.02
     couro
    0.96
     cuir
    0.90
     кожа
    0.85
     suede
    0.80
    Activations Density 0.087%

    No Known Activations