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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 38134
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    INDEX
    Explanations

    specific brands and styles of footwear

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

    shoes and boots

    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
    DotNetBar
    -0.38
    Mű
    -0.35
    QUIRY
    -0.33
    selig
    -0.32
    ikaze
    -0.32
     NgModule
    -0.32
    Rost
    -0.32
    Enhanced
    -0.31
    PropertyChanged
    -0.31
    vsky
    -0.31
    POSITIVE LOGITS
     shoes
    1.24
     footwear
    1.12
     shoe
    1.10
     Shoes
    1.08
    Shoes
    1.02
     sneakers
    1.02
     SHOES
    1.02
    shoes
    0.95
     boots
    0.95
     Footwear
    0.95
    Activations Density 0.065%

    No Known Activations