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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11951
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    keywords related to food quality and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parsedMessage
    -0.51
    TintMode
    -0.50
    HtmlAttribute
    -0.50
    DockStyle
    -0.49
     fieldNum
    -0.49
     curioso
    -0.47
     Савезне
    -0.46
    SourceChecksum
    -0.46
     CreateTagHelper
    -0.46
    CrossRef
    -0.46
    POSITIVE LOGITS
     top
    1.39
     exceptional
    1.23
     outstanding
    1.21
     superior
    1.16
    outstanding
    1.07
     elite
    1.06
    superior
    1.04
    top
    1.01
     superb
    1.01
     exemplary
    0.98
    Activations Density 0.398%

    No Known Activations