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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. 42492
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    INDEX
    Explanations

    references to labeling and marking of items

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

    marking, stamping, printing

    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
     łóż
    -0.41
    oa̍t
    -0.39
    PyTuple
    -0.38
    المناصب
    -0.37
     invitamos
    -0.37
     ilustracja
    -0.36
     Numerade
    -0.35
     península
    -0.35
    TestBed
    -0.35
    richTextPanel
    -0.35
    POSITIVE LOGITS
     engraved
    0.63
    脚注の使い方
    0.61
     inscriptions
    0.60
    marking
    0.60
     markings
    0.58
     labels
    0.57
     stamped
    0.57
     TAGS
    0.56
     tattooed
    0.56
    Marking
    0.56
    Activations Density 0.238%

    No Known Activations