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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2564
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    Explanations

    references to pharmaceuticals and their attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    featureID
    -0.73
    şört
    -0.64
    WithIOException
    -0.63
    RTSC
    -0.61
    styleType
    -0.60
     kasarigan
    -0.59
     resourceCulture
    -0.56
     faſt
    -0.56
    UPAC
    -0.53
    parsedMessage
    -0.53
    POSITIVE LOGITS
    ándola
    0.43
    TagMode
    0.34
     adaptarse
    0.31
    OGND
    0.30
    خواندن
    0.29
    Життєпис
    0.29
    PhysRevLett
    0.28
     PropertyChanged
    0.27
     ويكيپيديا
    0.27
    </table>
    0.27
    Activations Density 0.011%

    No Known Activations