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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5179
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    Explanations

    references to specific sneaker models and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insics
    -0.42
    richTextPanel
    -0.42
    OrNil
    -0.40
    Datuak
    -0.40
    buffet
    -0.38
    typ
    -0.36
     Schroeder
    -0.35
     Wier
    -0.35
     tasas
    -0.34
     Herrmann
    -0.34
    POSITIVE LOGITS
     Nike
    0.98
     sneaker
    0.83
    Nike
    0.82
     nike
    0.81
     adidas
    0.74
     Jordan
    0.69
     sneakers
    0.69
     Sneaker
    0.68
    nike
    0.65
     basketball
    0.64
    Activations Density 0.138%

    No Known Activations