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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. 12250
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    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
     vettoriale
    -0.55
    PMailer
    -0.50
    Liefs
    -0.48
     preliminar
    -0.47
     involvement
    -0.46
     desmotivaciones
    -0.45
     espont
    -0.45
     titolata
    -0.44
     Gestão
    -0.44
     preparazione
    -0.44
    POSITIVE LOGITS
     inexpensive
    0.86
     adjustable
    0.82
     waterproof
    0.82
     durable
    0.81
     manufacturers
    0.78
     lightweight
    0.75
     multifunctional
    0.75
     reusable
    0.74
    durable
    0.73
    manufactured
    0.73
    Activations Density 0.448%

    No Known Activations