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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8586
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    Explanations

    references to "core" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EDEFAULT
    -0.50
     onPostExecute
    -0.44
     autorytatywna
    -0.41
     аппетита
    -0.41
    HasForeignKey
    -0.38
     Grüsse
    -0.38
     محفوظة
    -0.37
    PyExc
    -0.37
    ulfate
    -0.36
    //
    -0.36
    POSITIVE LOGITS
     competencies
    0.64
     Core
    0.57
     CORE
    0.56
     core
    0.55
    quisite
    0.52
     competency
    0.52
     competence
    0.49
    XmlType
    0.49
    Core
    0.48
    AppMethodBeat
    0.48
    Activations Density 0.194%

    No Known Activations