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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. 4178
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    Explanations

    modal verbs and their usage in various contexts

    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
    ########.
    -0.69
     Italijanski
    -0.60
    TagMode
    -0.59
    Chham
    -0.56
    Schicken
    -0.56
    parsedMessage
    -0.55
    ConstraintMaker
    -0.54
     BoxDecoration
    -0.54
    ApiModelProperty
    -0.54
     Sortiment
    -0.54
    POSITIVE LOGITS
     horizont
    0.41
     recepción
    0.40
     profesión
    0.40
     dimensión
    0.40
     atracción
    0.40
     palacio
    0.39
     gestión
    0.39
     ejército
    0.38
     Ejército
    0.38
     mecánico
    0.38
    Activations Density 0.043%

    No Known Activations