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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. 54508
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    INDEX
    Explanations

    phrases indicating quality, thoroughness, and design of various subjects, particularly focusing on positive attributes

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

    well-qualified descriptors

    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
    AndEndTag
    -0.70
    ########.
    -0.64
     pinulongan
    -0.54
     الرياضيه
    -0.49
     tartalomajánló
    -0.48
     utafitiHapana
    -0.48
    出版年
    -0.48
    HtmlAttribute
    -0.47
     snippetHide
    -0.47
    StackNavigator
    -0.47
    POSITIVE LOGITS
     well
    0.57
     poorly
    0.53
     dobře
    0.53
     WELL
    0.49
    setVerticalGroup
    0.49
     dobrze
    0.48
     carefully
    0.47
     reputable
    0.46
    well
    0.44
     jól
    0.44
    Activations Density 0.104%

    No Known Activations