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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. 78225
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    Explanations

    references to various types of buffers used in biochemical processes

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

    buffer types

    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
    <i>
    -0.45
    is
    -0.42
    ↵↵↵↵
    -0.36
    The
    -0.35
     Hirst
    -0.35
    1
    -0.35
    as
    -0.34
    ↵↵↵↵↵↵
    -0.34
    xsi
    -0.34
    <em>
    -0.34
    POSITIVE LOGITS
     buffer
    2.45
     Buffer
    2.25
    buffer
    2.23
     buffers
    2.06
     BUFFER
    1.97
    Buffer
    1.92
     buffering
    1.89
    BUFFER
    1.78
    buffers
    1.74
     Buff
    1.50
    Activations Density 0.010%

    No Known Activations