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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. 10418
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    Explanations

    references to different types of chairs and their characteristics

    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
    tvguidetime
    -0.63
    WebVitals
    -0.59
    Personendaten
    -0.56
     Normdatei
    -0.48
     AssemblyCulture
    -0.46
    corazón
    -0.43
    JspWriter
    -0.42
     fuite
    -0.42
     bolsillo
    -0.41
    ⤹
    -0.40
    POSITIVE LOGITS
     chair
    2.64
     chairs
    2.45
     Chair
    2.27
     CHAIR
    2.19
    chair
    2.14
    Chair
    2.14
     Chairs
    2.11
    chairs
    1.88
    Chairs
    1.88
    CHAIR
    1.71
    Activations Density 0.189%

    No Known Activations