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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9126
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    references to clothing and fashion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IndentedString
    -0.45
     createSlice
    -0.45
    rawDesc
    -0.42
     שוליים
    -0.42
    ########.
    -0.42
     PyLong
    -0.42
    PropertyChanging
    -0.41
    ValueStyle
    -0.41
     CreateTagHelper
    -0.40
    Personensuche
    -0.40
    POSITIVE LOGITS
     dressed
    1.07
     dress
    0.99
     casual
    0.98
     dressing
    0.98
    Casual
    0.91
     Casual
    0.91
     Dress
    0.90
    dressed
    0.89
    Dress
    0.88
     Dressing
    0.88
    Activations Density 0.098%

    No Known Activations