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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. 114913
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    Explanations

    terms related to emotions and medical conditions, particularly in the context of illnesses

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

    情, love, effusion

    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
    Personendaten
    -0.65
     Económica
    -0.56
     gouverneur
    -0.55
     Theſe
    -0.55
    TagMode
    -0.54
    unggulan
    -0.54
     becauſe
    -0.54
     Utilizamos
    -0.53
     незавершена
    -0.52
     Normdatei
    -0.51
    POSITIVE LOGITS
    情
    2.23
     tình
    1.84
     情
    1.65
    情的
    1.32
    的情
    1.31
    ình
    0.72
     love
    0.68
    love
    0.63
     affection
    0.62
     LOVE
    0.61
    Activations Density 0.002%

    No Known Activations