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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 2693
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    INDEX
    Explanations

    phrases related to achieving results or optimizing performance

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

    "Results" or "outcomes"

    np_acts-logits-general · gemini-2.0-flash

    maximizing results

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     nahilalakip
    -0.55
    MessageTagHelper
    -0.55
    webElementXpaths
    -0.51
     otomatig
    -0.49
    Cyfeiriadau
    -0.49
    󠁴
    -0.49
     ddelweddau
    -0.48
    NameInMap
    -0.48
    Autoritní
    -0.46
     ब्रेकडाउन
    -0.46
    POSITIVE LOGITS
     expected
    0.50
     results
    0.48
     erzielen
    0.46
     effectiveness
    0.46
     expect
    0.45
     performance
    0.44
     expects
    0.43
     outcomes
    0.42
     productivity
    0.41
     EXPECT
    0.41
    Activations Density 0.464%

    No Known Activations