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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. 60583
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    INDEX
    Explanations

    references to the concept of merit

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

    merit, no merit

    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
    Igles
    -0.45
     glas
    -0.44
    Volkswagen
    -0.44
    multer
    -0.41
    ondag
    -0.41
     automo
    -0.41
    UserScript
    -0.41
    Glas
    -0.40
     Volkswagen
    -0.40
     imprisoned
    -0.40
    POSITIVE LOGITS
     merit
    2.38
     Merit
    2.31
    merit
    2.06
     merits
    1.75
     mérite
    1.44
     meritorious
    1.43
     mérito
    1.34
     merito
    1.30
     mérit
    1.28
     deserve
    1.06
    Activations Density 0.006%

    No Known Activations