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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 2892
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    Explanations

    mentions of academic qualifications and book titles

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

    Tokens after "title"

    np_acts-logits-general · gemini-2.0-flash

    document titles and subjects

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unknownFields
    -0.61
     utafitiHapana
    -0.55
     <=",
    -0.54
    BufferException
    -0.53
     Replies
    -0.51
    djangoproject
    -0.51
    formatics
    -0.50
     Lightboxes
    -0.50
    CodeDom
    -0.49
     factor
    -0.49
    POSITIVE LOGITS
     title
    3.81
    title
    3.34
     Title
    3.21
    Title
    3.08
     titles
    2.94
     TITLE
    2.89
    TITLE
    2.74
     título
    2.63
     titel
    2.53
     Titel
    2.47
    Activations Density 0.248%

    No Known Activations