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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12136
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    Explanations

    phrases related to the state of a body or specific anatomical positions in a medical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Démographie
    -0.36
    UrlResolution
    -0.35
    ReusableCell
    -0.33
    inFile
    -0.32
    dientemente
    -0.32
    原始内容存档
    -0.32
     continuidad
    -0.31
     pove
    -0.31
     förr
    -0.30
    AROUND
    -0.30
    POSITIVE LOGITS
     leaning
    1.14
     kneeling
    1.13
     posture
    1.11
     crouched
    1.05
    姿勢
    0.98
     crouching
    0.96
     kneel
    0.96
     bent
    0.94
     leaned
    0.94
     crouch
    0.91
    Activations Density 0.404%

    No Known Activations