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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 7-GEMMASCOPE-RES-16K
    6. 4618
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    Explanations

    references to various types of shoes and related clothing items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    createCanvas
    -0.75
     Tomar
    -0.69
    FlowLayout
    -0.67
    ParallelGroup
    -0.65
     crawls
    -0.64
    зулта
    -0.64
     Drapeau
    -0.64
    MergeFrom
    -0.63
    otras
    -0.63
     Served
    -0.63
    POSITIVE LOGITS
     shoes
    1.63
     Shoes
    1.44
    Shoes
    1.37
     shoe
    1.26
     SHOES
    1.21
     footwear
    1.18
    shoes
    1.15
     Shoe
    1.14
    Shoe
    1.02
     Schuhe
    0.98
    Activations Density 0.101%

    No Known Activations