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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 11-GEMMASCOPE-RES-16K
    11. 10090
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    nouns related to military or naval vessels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 11-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_11/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.11.hook_resid_post
    Hook Layer
    11
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ſta
    -0.51
    Referencie
    -0.44
    Portale
    -0.44
    featureID
    -0.43
     reaſon
    -0.43
     Anſ
    -0.42
     myſelf
    -0.42
    oredCriteria
    -0.41
    PDT
    -0.41
     viſ
    -0.41
    POSITIVE LOGITS
    RenderAtEndOf
    0.71
    OGND
    0.53
    UrlResolution
    0.53
     shipbuilding
    0.52
     ship
    0.48
    ModelSerializer
    0.47
     ships
    0.43
    hoben
    0.43
    complexType
    0.42
     progettazione
    0.42
    Activations Density 0.305%

    No Known Activations