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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. 13747
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    intense emotional expressions and vocalizations

    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
     BorderRadius
    -0.46
    InputBorder
    -0.44
     writing
    -0.41
     Singing
    -0.40
     pum
    -0.40
    ngoing
    -0.39
    itiés
    -0.39
    RTLR
    -0.39
     reporting
    -0.38
     fotó
    -0.38
    POSITIVE LOGITS
     aloud
    0.71
     loud
    0.60
     loudly
    0.58
     louder
    0.57
     loudest
    0.57
     libremente
    0.56
    nonsense
    0.51
     nonsense
    0.51
     praises
    0.49
     quietly
    0.49
    Activations Density 0.318%

    No Known Activations