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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. 14468
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    Explanations

    references to the character "Sar" and related terms, particularly in contexts involving discussions or contexts related to tumors or cancerous cells

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

    fragments of the name "Saravana" or medical/scientific terminology related to sarcoma and tumor research.

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

    the name "Sara" or "Sarai" in various forms and spellings.

    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
    <h1>
    -0.34
     Whitehead
    -0.30
     Heaven
    -0.29
     Moving
    -0.29
    　　
    -0.29
     unrealistic
    -0.29
     offenbar
    -0.28
     essentially
    -0.28
    ないように
    -0.27
    Bottom
    -0.27
    POSITIVE LOGITS
    rungsseite
    0.81
    AnchorStyles
    0.81
     Sar
    0.80
    Sar
    0.79
    MLLoader
    0.77
    AddTagHelper
    0.77
     الرياضيه
    0.76
     ProtoMessage
    0.73
    featureID
    0.71
     Sarac
    0.70
    Activations Density 0.077%

    No Known Activations