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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. 115806
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    Explanations

    names of individuals associated with organizations or roles in the context of discussions related to medical and legal matters

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

    names followed by verbs

    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
    \{\\
    -0.48
    Ƚ
    -0.46
     FetchType
    -0.45
    transQ
    -0.44
     HasFactory
    -0.44
    fromUtf
    -0.43
    GoogleMap
    -0.43
    tagHelperRunner
    -0.43
    ]=>
    -0.41
    glEnd
    -0.40
    POSITIVE LOGITS
     Roskov
    0.51
    Хьажоргаш
    0.44
    äfts
    0.42
    Jîn
    0.39
     EconPapers
    0.39
    řed
    0.38
    CEO
    0.38
    addGap
    0.38
    cursos
    0.37
    تقاوى
    0.37
    Activations Density 0.147%

    No Known Activations