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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 3730
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    Explanations

    well-crafted and well-reviewed descriptors, indicating quality and effectiveness

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

    Comes before positive adjectives

    np_acts-logits-general · gemini-2.0-flash

    well + descriptive adjective/past participle

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.70
    Dario
    -0.52
    neurial
    -0.49
     فريبيس
    -0.49
    afficheront
    -0.48
    ctn
    -0.48
     JMenuItem
    -0.48
    Angus
    -0.47
     MainAxisSize
    -0.47
     HasFactory
    -0.47
    POSITIVE LOGITS
     well
    1.00
    Well
    1.00
    well
    0.96
     Well
    0.95
     WELL
    0.86
    WELL
    0.79
     wells
    0.65
     Wells
    0.63
     wel
    0.60
     Welle
    0.57
    Activations Density 0.109%

    No Known Activations