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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1444
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    Explanations

    references to the act of wearing or related terms indicating the condition of items being worn

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.61
     uLocal
    -0.58
    FXML
    -0.55
    \{\\
    -0.54
    DispatchToProps
    -0.54
     препратки
    -0.53
    MemoryWarning
    -0.53
    bcryptjs
    -0.52
     חיצוניים
    -0.50
     հղումներ
    -0.48
    POSITIVE LOGITS
     wear
    1.61
     Wear
    1.43
    Wear
    1.32
    wear
    1.22
     WEAR
    1.21
     wears
    1.09
     wore
    1.07
    WEAR
    0.97
     worn
    0.92
     indoss
    0.84
    Activations Density 0.069%

    No Known Activations