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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 10-GEMMASCOPE-RES-16K
    11. 13996
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    Explanations

    references to buffet-style dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 10-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_10/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.10.hook_resid_post
    Hook Layer
    10
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     enfans
    -0.53
    ResumeLayout
    -0.48
     sanitaires
    -0.45
    mitive
    -0.44
    parsedMessage
    -0.43
     sanitarias
    -0.42
    jaqueta
    -0.42
     cartera
    -0.42
    Билгалдахарш
    -0.42
    esModule
    -0.41
    POSITIVE LOGITS
     buffet
    0.58
     Buffet
    0.50
    buffet
    0.49
     Normdatei
    0.46
     propOrder
    0.46
    PhysRev
    0.42
    complexType
    0.42
    TagMode
    0.40
     cafeteria
    0.40
     chant
    0.37
    Activations Density 0.284%

    No Known Activations