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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. 60865
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    INDEX
    Explanations

    references to muscle activity and motor unit performance

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

    muscle units, neuromuscular, regeneration

    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
     pleaſure
    -0.59
    farande
    -0.56
    ſelf
    -0.55
     ſtand
    -0.52
    OGND
    -0.51
     Conſ
    -0.49
     verſ
    -0.49
     houſe
    -0.49
     handleChange
    -0.48
     varandra
    -0.48
    POSITIVE LOGITS
     CreateTagHelper
    0.42
     solids
    0.35
     Stok
    0.34
     pac
    0.33
     multi
    0.33
    ляются
    0.32
    帖最后由
    0.32
     muscle
    0.32
     Units
    0.31
    xee
    0.31
    Activations Density 0.299%

    No Known Activations