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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13409
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    Explanations

    details related to deep-fried food dishes and their preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     '\\;'
    -0.55
    ValueStyle
    -0.53
    AnchorStyles
    -0.52
    ]),
    -0.45
     TextAlign
    -0.43
    QColor
    -0.42
    phosa
    -0.42
    orianCalendar
    -0.41
    #+#
    -0.40
    findpost
    -0.40
    POSITIVE LOGITS
     fryer
    0.66
     fried
    0.64
     frying
    0.62
    🍟
    0.59
     fries
    0.56
    Crispy
    0.53
     crispy
    0.52
     fry
    0.50
    unknownFields
    0.48
     Fryer
    0.47
    Activations Density 0.189%

    No Known Activations