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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15748
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    references to core software components or libraries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    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
    -0.55
     onPostExecute
    -0.40
    TagMode
    -0.39
     Grüsse
    -0.37
     himo
    -0.37
    PyExc
    -0.37
     محفوظة
    -0.36
     аппетита
    -0.35
     autorytatywna
    -0.35
    ulfate
    -0.34
    POSITIVE LOGITS
     competencies
    0.66
     Core
    0.59
     CORE
    0.58
     core
    0.56
    quisite
    0.55
     competence
    0.55
     competency
    0.54
    compet
    0.50
     Beliefs
    0.48
    Core
    0.48
    Activations Density 0.196%

    No Known Activations