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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. 8659
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    INDEX
    Explanations

    descriptors of medical professionals and their characteristics

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

    caring bedside manner

    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
    Not in Any Lists

    No Comments

    Negative Logits
     faſt
    -0.50
    rungsseite
    -0.49
     tranſ
    -0.46
     Zombies
    -0.46
    citement
    -0.45
    riller
    -0.45
    FTFY
    -0.45
     terrain
    -0.45
    WithMany
    -0.45
     fever
    -0.43
    POSITIVE LOGITS
     caring
    0.68
     compassionate
    0.67
     Behandlung
    0.62
    Compassion
    0.61
     compassion
    0.61
    caring
    0.61
     bedside
    0.59
     dokter
    0.58
     doctor
    0.58
    Caring
    0.57
    Activations Density 0.005%

    No Known Activations