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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4249
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    Explanations

    qualitative research methodologies and approaches

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

    Qualitative research methods

    np_acts-logits-general · gemini-2.0-flash

    qualitative research methods

    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-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
     kaarangay
    -0.79
    RenderAtEndOf
    -0.66
    MemoryWarning
    -0.65
     gynhyrchwyd
    -0.65
    تقاوى
    -0.65
    GEBURTSDATUM
    -0.63
     otomatig
    -0.57
     estekak
    -0.57
    styleable
    -0.56
     Biôgrafia
    -0.54
    POSITIVE LOGITS
    kegaard
    0.41
     ferons
    0.40
     wiedzieć
    0.40
     juges
    0.39
     investigador
    0.39
     znajdziesz
    0.37
    âneo
    0.36
     wobec
    0.35
     raccol
    0.35
     bật
    0.34
    Activations Density 0.661%

    No Known Activations