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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 10465
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    references to the Python programming language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    berdayakan
    -0.58
    transQ
    -0.55
     verteilt
    -0.54
    ]")]
    -0.49
    Geplaatst
    -0.48
    JspWriter
    -0.46
     vacacionales
    -0.45
     resourceCulture
    -0.45
     blest
    -0.45
    featureID
    -0.45
    POSITIVE LOGITS
     Python
    0.94
     polynomial
    0.83
     python
    0.82
    Python
    0.80
     Java
    0.74
     programming
    0.71
     linear
    0.70
     coding
    0.66
     regression
    0.65
    Java
    0.64
    Activations Density 0.199%

    No Known Activations