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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 34364
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    INDEX
    Explanations

    terms related to the process of improving or perfecting something

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    refine, refined, refinement

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    Билгалдахарш
    -0.55
     AttributeSet
    -0.54
     nakalista
    -0.53
    >{@
    -0.50
    لينكات
    -0.50
    nloa
    -0.47
    getPost
    -0.46
    bootstrapcdn
    -0.46
    Kjelder
    -0.45
     témoig
    -0.45
    POSITIVE LOGITS
     refining
    0.63
     refine
    0.63
     Refin
    0.62
    refine
    0.62
     Refined
    0.60
     refinement
    0.60
    grained
    0.59
     Fine
    0.59
     Refining
    0.59
     refined
    0.57
    Activations Density 0.030%

    No Known Activations