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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5050
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    Explanations

    references to mechanisms or components related to "ram" and its applications in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pinulongan
    -0.68
     surla
    -0.49
     חיצוניים
    -0.45
    новниш
    -0.45
    ByVersion
    -0.43
    RuleContext
    -0.43
    Disliked
    -0.43
    ResponseWriter
    -0.42
    extendable
    -0.42
     kasarigan
    -0.42
    POSITIVE LOGITS
     ram
    0.93
     Ram
    0.91
    Ram
    0.83
     RAM
    0.80
    RAM
    0.78
    ram
    0.73
     ob
    0.71
     Ramsey
    0.63
     Ramp
    0.61
    eb
    0.60
    Activations Density 1.571%

    No Known Activations