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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 13-GEMMASCOPE-RES-16K
    6. 8390
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    Explanations

    various types of clothing, particularly pants and shorts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    providedIn
    -0.47
     चीज़ों
    -0.40
    CIUDAD
    -0.40
     Normdatei
    -0.37
    épa
    -0.36
    édrale
    -0.35
    Milwaukee
    -0.35
     büyü
    -0.35
     snippetHide
    -0.34
     artesanato
    -0.34
    POSITIVE LOGITS
     pants
    0.76
     Pants
    0.73
     trouser
    0.72
     trousers
    0.69
    pants
    0.65
     jeans
    0.62
     Pantal
    0.59
    👖
    0.58
     Trous
    0.58
     thighs
    0.58
    Activations Density 0.309%

    No Known Activations