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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. 29122
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    Explanations

    mentions of notable alumni and their achievements in a specific context, particularly related to producing talent

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

    alumni of institutions

    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
    IntoConstraints
    -0.55
     ExecuteAsync
    -0.49
    aarrggbb
    -0.47
    RTEE
    -0.47
     ModelExpression
    -0.46
    出版年
    -0.45
    antwoorden
    -0.44
    Autoritní
    -0.43
     '\\;'
    -0.43
    principalColumn
    -0.43
    POSITIVE LOGITS
     alumni
    0.47
     talent
    0.47
    輩
    0.45
     talento
    0.42
     conting
    0.41
     generations
    0.39
     graduates
    0.38
     export
    0.38
     pride
    0.37
     careers
    0.37
    Activations Density 0.246%

    No Known Activations