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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. 82851
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    INDEX
    Explanations

    names of specific football players and their performance references

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

    names and parts of names

    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
    ंदीखरीदारी
    -0.52
    ContentAsync
    -0.51
    RTDA
    -0.49
    ‍♂️
    -0.47
    "],
    -0.45
    脚注の使い方
    -0.45
    VIAF
    -0.45
     EconPapers
    -0.45
    zzleHttp
    -0.44
    sidemargin
    -0.44
    POSITIVE LOGITS
    PerformLayout
    0.46
     Suarez
    0.43
     незавершена
    0.42
    BASELINE
    0.38
     mod
    0.38
    Mod
    0.36
    Brainz
    0.35
     Mod
    0.35
    glEnd
    0.34
    Père
    0.34
    Activations Density 0.007%

    No Known Activations