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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 11936
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    Explanations

    references to athletic records and achievements in competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gameplay
    -0.46
     OMITBAD
    -0.46
    Hentet
    -0.45
     onPostExecute
    -0.45
     motocicletas
    -0.44
    GHIJKLM
    -0.43
     spē
    -0.43
     motocicleta
    -0.42
     electrolux
    -0.42
     avancé
    -0.42
    POSITIVE LOGITS
     track
    1.05
     Track
    1.01
    Track
    0.90
    track
    0.84
     running
    0.82
     IAAF
    0.80
     TRACK
    0.77
     Running
    0.77
    Running
    0.76
     runners
    0.70
    Activations Density 0.108%

    No Known Activations