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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 21-GEMMASCOPE-RES-16K
    6. 1482
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    Explanations

    proper nouns related to people and teams in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    出版年
    -0.50
    nodeValue
    -0.45
    pexpr
    -0.42
    KommentareTeilen
    -0.42
     consulting
    -0.41
    gapan
    -0.41
    sizeCache
    -0.41
     quanti
    -0.41
     talking
    -0.40
    indexing
    -0.40
    POSITIVE LOGITS
    PerformLayout
    0.45
    Hentet
    0.42
    RTEX
    0.40
    HasAnnotation
    0.39
     freshman
    0.39
    CppMethod
    0.39
     Fu
    0.39
    RTSN
    0.38
    Notae
    0.38
     teammate
    0.38
    Activations Density 0.105%

    No Known Activations