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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6614
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    Explanations

    individuals mentioned in a narrative, particularly those involved in sports or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RectangleBorder
    -0.63
    WebServlet
    -0.62
    PyExc
    -0.60
    MigrationBuilder
    -0.59
     initComponents
    -0.59
    RenderAtEndOf
    -0.57
    SequentialGroup
    -0.56
     OMITBAD
    -0.56
     informée
    -0.55
    ftagPool
    -0.55
    POSITIVE LOGITS
     star
    0.36
    joven
    0.35
    
    0.34
    ogie
    0.31
     fielder
    0.31
     Mfg
    0.31
     defender
    0.30
    दार
    0.30
     rookie
    0.30
     Jordan
    0.30
    Activations Density 0.177%

    No Known Activations