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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. 16713
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    INDEX
    Explanations

    references to "Gram" and its applications in microbiology and related contexts

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

    gram-positive or gram-negative

    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
     Pij
    -0.47
    pij
    -0.44
     Pech
    -0.44
    ocities
    -0.43
    tôi
    -0.41
     pij
    -0.41
     Tilt
    -0.40
     Pity
    -0.39
     Nix
    -0.39
     Phoenix
    -0.38
    POSITIVE LOGITS
     Gram
    2.33
    Gram
    2.23
     gram
    2.19
     GRAM
    1.72
    gram
    1.60
     grammatical
    1.43
    GRAM
    1.38
     gramm
    1.33
     Gramm
    1.32
     грам
    1.29
    Activations Density 0.008%

    No Known Activations