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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6463
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    formatted text elements, particularly bold and strong tags

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MainAxisSize
    -0.86
    AddTagHelper
    -0.72
    ruptedException
    -0.65
     InputDecoration
    -0.65
    Välislingid
    -0.59
    createView
    -0.59
    FontOfSize
    -0.57
    Referencies
    -0.56
    setViewportView
    -0.56
     препратки
    -0.55
    POSITIVE LOGITS
    <strong>
    1.41
    <b>
    1.24
    <em>
    0.99
    <u>
    0.95
    <i>
    0.91
    <sub>
    0.73
    mathbf
    0.65
    <code>
    0.65
    </strong>
    0.63
    //
    0.55
    Activations Density 0.019%

    No Known Activations