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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. 3340
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    structured data types and operations in programming contexts

    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
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    Negative Logits
    ModelSerializer
    -0.48
     Wicidata
    -0.48
     
    -0.47
    beutel
    -0.46
     joão
    -0.40
    "]))
    -0.38
     fieldNum
    -0.38
    tvguidetime
    -0.38
    ValueGeneration
    -0.37
    fortawesome
    -0.36
    POSITIVE LOGITS
    :✨
    0.57
    RTLR
    0.47
     OMITBAD
    0.44
    SequentialGroup
    0.43
     protoimpl
    0.43
     appelez
    0.43
     الدولى
    0.43
    出版年
    0.42
    Geplaatst
    0.41
    帖最后由
    0.41
    Activations Density 0.949%

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