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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 13114
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    Explanations

    terms related to medical contexts, specifically referencing coroner and anatomical descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words starting with "Cor" (like "Coronal", "Coroner", "Correlation", "Cortical").

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    proper nouns and names, particularly surnames beginning with "Cor".

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Jed
    -0.43
     Cent
    -0.43
     Giud
    -0.41
    ValueStyle
    -0.41
    どもの
    -0.40
    Rujuakan
    -0.40
     gan
    -0.40
     Mia
    -0.39
     Alber
    -0.38
    isBlank
    -0.38
    POSITIVE LOGITS
    webElementXpaths
    0.51
    Související
    0.49
     препратки
    0.49
    ynb
    0.47
    COR
    0.46
     Corruption
    0.46
    featureID
    0.46
    webElementGuid
    0.45
     literario
    0.45
     COR
    0.44
    Activations Density 0.168%

    No Known Activations