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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14710
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    references to San Diego and terms related to granularity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.58
     EClass
    -0.56
     Signalez
    -0.56
    تقاوى
    -0.49
    Біографія
    -0.48
    .}~\
    -0.48
     متعلقه
    -0.47
     fieldNum
    -0.46
     فريبيس
    -0.46
     المعيارى
    -0.46
    POSITIVE LOGITS
     gran
    0.66
     Gran
    0.64
     Bro
    0.60
    Gran
    0.57
    gran
    0.56
     Diego
    0.56
     Hunter
    0.55
    Bro
    0.53
    Diego
    0.52
     Neil
    0.52
    Activations Density 0.515%

    No Known Activations