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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 20-GEMMASCOPE-RES-16K
    11. 9685
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    Explanations

    various types of eyewear and wearable devices, particularly those that require wearing special gear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 20-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_20/width_16k/average_l0_68
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.20.hook_resid_post
    Hook Layer
    20
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     }}"></
    -0.55
     onCancelled
    -0.51
    存于互联网档案馆
    -0.47
     ModelExpression
    -0.47
     }));
    -0.47
    "]));
    -0.47
     Thumbnails
    -0.46
     arşivlendi
    -0.46
     plufieurs
    -0.46
    TypedDataSet
    -0.44
    POSITIVE LOGITS
     wear
    0.94
     wearing
    0.85
     worn
    0.85
     Wear
    0.83
     wearer
    0.81
     wore
    0.81
     wearable
    0.80
    wear
    0.78
     Wearing
    0.77
    Wearing
    0.77
    Activations Density 0.180%

    No Known Activations