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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. 9821
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    Explanations

    statements about the utility and effectiveness of quantitative regression methods

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

    methodology and techniques

    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
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    Negative Logits
    ]")]
    -0.75
    
    -0.69
    tvguidetime
    -0.68
    IBOutlet
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    __*/
    -0.66
    ResponseWriter
    -0.66
     nahilalakip
    -0.65
    setViewportView
    -0.63
    #+#
    -0.63
     وتسجيلات
    -0.63
    POSITIVE LOGITS
     techniques
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     algorithms
    0.60
     algorithm
    0.56
     technique
    0.53
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    0.51
     method
    0.50
     técnicas
    0.49
     theory
    0.45
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    0.43
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    Activations Density 0.650%

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