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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 8692
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    Explanations

    references to various types of buffers in programming or technical contexts

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

    the word "Buffalo" (or variations like "buff" and "alon" that comprise it when tokenized).

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asteroide
    -0.47
    versiti
    -0.43
    henswürdigkeiten
    -0.43
    argout
    -0.43
     setIs
    -0.43
     Meksiku
    -0.42
     Starship
    -0.41
    lihood
    -0.40
    +#+#
    -0.38
     Yas
    -0.38
    POSITIVE LOGITS
     BUFFER
    0.86
     Buff
    0.81
     buffer
    0.79
     BUFF
    0.77
    Buff
    0.77
     buff
    0.75
     Buffer
    0.73
    BUFFER
    0.72
    buffer
    0.71
    buff
    0.71
    Activations Density 0.120%

    No Known Activations