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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11273
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    Explanations

    terms related to specific names or titles, particularly those starting with "Ter" or "Tar."

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

    starting with "Ter" or "Tar"

    np_acts-logits-general · gemini-2.0-flash

    words starting with ter or tar

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.30.hook_resid_post
    Hook Layer
    30
    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
    -0.55
    argout
    -0.54
    oredCriteria
    -0.49
    Бахар
    -0.44
     oprot
    -0.43
    SaveChangesAsync
    -0.42
    canestro
    -0.42
    ༘
    -0.41
     NSCoder
    -0.41
    sidemargin
    -0.41
    POSITIVE LOGITS
     Ter
    0.55
     ter
    0.54
    Ter
    0.50
     TERR
    0.48
     Terr
    0.45
     TER
    0.45
    testify
    0.44
     terci
    0.41
     Third
    0.39
     Terra
    0.38
    Activations Density 0.233%

    No Known Activations