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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 125682
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    INDEX
    Explanations

    terms related to biochemical processes and anatomical features

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

    jaw, chin, methyl, homocysteine

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     createSlice
    -0.56
    AndEndTag
    -0.54
     ब्रेकडाउन
    -0.50
    DockStyle
    -0.49
    UrlResolution
    -0.49
    الحياه
    -0.49
    ViewFeatures
    -0.48
     snippetHide
    -0.48
     Wikiseite
    -0.47
    Архівовано
    -0.46
    POSITIVE LOGITS
     chin
    0.51
    featureID
    0.45
    下巴
    0.38
     methyl
    0.36
     Dys
    0.34
     jaw
    0.34
     Methyl
    0.34
     .\
    0.34
    deepcopy
    0.34
     Sa
    0.33
    Activations Density 0.117%

    No Known Activations