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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. 6420
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    Explanations

    specific numerical statistics and performance metrics in sports contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ModelExpression
    -0.50
    MLLoader
    -0.48
    دانشنامهٔ
    -0.46
     abstrait
    -0.46
    cosity
    -0.43
    ]")]
    -0.41
     errorCode
    -0.41
     vectorielle
    -0.41
    lanzen
    -0.41
     espirituales
    -0.41
    POSITIVE LOGITS
     freshman
    0.48
     graduate
    0.47
     sophomore
    0.44
     alum
    0.44
    tvguidetime
    0.41
     alumnus
    0.41
     înt
    0.41
     collegiate
    0.40
     Freshman
    0.40
    SequentialGroup
    0.40
    Activations Density 0.158%

    No Known Activations