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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2898
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    blocks of code or structured text segments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    GEBURTS
    -0.96
    󠁮
    -0.92
     للاسماء
    -0.91
     ujednoznacz
    -0.90
    ſſung
    -0.89
    ftagPool
    -0.87
    niſſe
    -0.87
    parsedMessage
    -0.87
    iſchen
    -0.85
     ब्रेकडाउन
    -0.85
    POSITIVE LOGITS
    //
    0.52
    "
    0.43
    *
    0.42
    0.41
    /*
    0.40
                
    0.38
    “
    0.38
     Económica
    0.37
    0.37
    ه
    0.37
    Activations Density 0.089%

    No Known Activations