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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 12000
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    Explanations

    references to specific items, particularly related to the Air Jordan sneakers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    richTextPanel
    -0.40
    insics
    -0.38
     lustig
    -0.38
     المعيارى
    -0.36
     Orgel
    -0.36
    タジー
    -0.35
     serons
    -0.35
     Perl
    -0.33
     empathy
    -0.33
     sehat
    -0.33
    POSITIVE LOGITS
     Nike
    1.02
    Nike
    0.85
     nike
    0.81
     sneaker
    0.81
     sneakers
    0.74
     Jordan
    0.74
     adidas
    0.73
    Jordan
    0.67
     Sneaker
    0.66
    nike
    0.64
    Activations Density 0.196%

    No Known Activations