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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 9979
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    references to staff and service quality in a dining context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EndGlobal
    -0.45
     wikipagina
    -0.42
     Wikiseite
    -0.40
     дописавши
    -0.40
    قلال
    -0.39
    UserScript
    -0.39
    edero
    -0.37
    AntiForgeryToken
    -0.36
     equilíbrio
    -0.36
    uxxxx
    -0.36
    POSITIVE LOGITS
     Administrativna
    0.51
    Personendaten
    0.51
    Pyx
    0.48
    親切
    0.48
     courteous
    0.47
     aimable
    0.46
    QMetaType
    0.46
     friendliness
    0.45
     staff
    0.45
     polite
    0.44
    Activations Density 0.064%

    No Known Activations