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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 15920
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    Explanations

    occurrences of the substring "ran" 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 @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pinulongan
    -0.57
     المعيارى
    -0.54
     stanovnika
    -0.52
     kasarigan
    -0.50
     חיצוניים
    -0.49
     propOrder
    -0.44
     ujednoznacz
    -0.44
    évaluateur
    -0.44
     îna
    -0.44
    Enllaces
    -0.43
    POSITIVE LOGITS
     Ran
    0.44
    ran
    0.40
    Ran
    0.40
     RAN
    0.38
     CURLOPT
    0.37
    NSNotification
    0.37
     пора
    0.36
    SceneManagement
    0.35
     bParam
    0.35
    bir
    0.34
    Activations Density 0.264%

    No Known Activations