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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 8315
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    Explanations

    details related to footwear features and specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Decke
    -0.53
     encode
    -0.49
    عاون
    -0.47
    الد
    -0.46
    rxjs
    -0.46
    endrait
    -0.45
    rophes
    -0.45
    lnie
    -0.44
    мум
    -0.43
     tjen
    -0.43
    POSITIVE LOGITS
     shoes
    1.49
     Shoes
    1.42
     shoe
    1.27
    Shoes
    1.26
     footwear
    1.24
     SHOES
    1.24
    shoes
    1.18
     Shoe
    1.18
     boots
    1.13
     Footwear
    1.11
    Activations Density 0.129%

    No Known Activations