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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. 4210
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    references to proteins and protein-related concepts

    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
     BorderSide
    -0.47
    IFORN
    -0.46
     comprando
    -0.40
    mount
    -0.39
    mOn
    -0.38
     separate
    -0.37
     במח
    -0.36
    CEED
    -0.35
     ذ
    -0.35
     bParam
    -0.35
    POSITIVE LOGITS
    <bos>
    0.78
    Zeneca
    0.67
    Hotels
    0.67
     MaterialApp
    0.66
    rogels
    0.60
    localctx
    0.60
     Hotels
    0.59
     bagels
    0.58
     hotels
    0.57
     ExecuteAsync
    0.57
    Activations Density 0.518%

    No Known Activations