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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8723
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    Explanations

    references to the name "Ram" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    moto
    -0.42
     parallelism
    -0.42
    Externé
    -0.40
     Bio
    -0.40
    htbp
    -0.39
    охо
    -0.39
    styleUrls
    -0.39
     handleSubmit
    -0.38
     wasp
    -0.38
     Rys
    -0.38
    POSITIVE LOGITS
     Ram
    0.74
     Rem
    0.66
    Ram
    0.65
     RAM
    0.62
    Rem
    0.60
     REM
    0.58
     ram
    0.56
     Ramsey
    0.55
    Rams
    0.54
    rem
    0.53
    Activations Density 0.202%

    No Known Activations