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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. 10540
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    INDEX
    Explanations

    references to scientific studies and statistical data

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

    preceding categories or topics

    np_acts-logits-general · gemini-2.0-flash

    specialising in specific categories

    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
    ########.
    -0.59
    ImageContext
    -0.51
    UrlResolution
    -0.50
    AsUp
    -0.47
     nakalista
    -0.46
    MigrationBuilder
    -0.46
    Personendaten
    -0.46
    kkue
    -0.45
    Tikang
    -0.44
    zzleHttp
    -0.44
    POSITIVE LOGITS
     specialising
    0.56
     covering
    0.56
     categories
    0.55
     particularly
    0.54
     specializing
    0.54
     Particularly
    0.54
     specialised
    0.53
     focusing
    0.53
    particularly
    0.52
     domaines
    0.52
    Activations Density 1.013%

    No Known Activations