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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. 42019
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    INDEX
    Explanations

    phrases and terms emphasizing relevance and the importance of pertinent information

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

    being relevant

    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
    fromnode
    -0.60
    Autoritní
    -0.60
    ruiter
    -0.47
    cheinend
    -0.45
    umably
    -0.45
     AssemblyProduct
    -0.45
    évaluateur
    -0.42
    Advertisements
    -0.42
    InputBorder
    -0.42
    othed
    -0.41
    POSITIVE LOGITS
     relevance
    1.13
     Relevance
    0.96
     relevant
    0.94
    Relevance
    0.91
     relevan
    0.90
    relevance
    0.84
    relevant
    0.80
     Relevant
    0.77
    Relevant
    0.75
     pertinent
    0.75
    Activations Density 0.052%

    No Known Activations