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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. 6888
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    references to sports tournaments and competitions

    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
    EndProject
    -0.57
    锈钢
    -0.48
     leaſt
    -0.45
     Wicidata
    -0.45
     pério
    -0.45
     SRA
    -0.45
    pgterms
    -0.45
     useRef
    -0.45
     transfieras
    -0.44
     EAN
    -0.44
    POSITIVE LOGITS
     finals
    0.42
     Finals
    0.40
    決勝
    0.40
    incontro
    0.40
     Final
    0.39
     finalist
    0.39
     favoured
    0.39
     finalists
    0.38
    Finals
    0.37
     onCancelled
    0.37
    Activations Density 0.089%

    No Known Activations