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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 5794
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    decorators used in Python code

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    @ context for code

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     queſta
    -0.71
     AttributeSet
    -0.56
    quelize
    -0.51
     ſind
    -0.48
    SourceChecksum
    -0.47
     ſche
    -0.47
     Umbra
    -0.47
     houſe
    -0.46
    SpringBootTest
    -0.46
    oredCriteria
    -0.46
    POSITIVE LOGITS
    @
    0.66
    帖最后由
    0.57
    tagHelperRunner
    0.47
    enterOuterAlt
    0.44
    :+:
    0.44
    ContentAsync
    0.41
    #@
    0.41
     @
    0.41
     snippetHide
    0.40
    [
    0.40
    Activations Density 0.006%

    No Known Activations