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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 413
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    Explanations

    terms related to charred or burnt materials, particularly in the context of culinary or production discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVEREF
    -0.43
    GTCX
    -0.41
    >>>>>>>
    -0.40
    findpost
    -0.40
    Ment
    -0.38
    hoeddwyd
    -0.37
     akik
    -0.37
    تفصیلات
    -0.37
     înd
    -0.37
    seende
    -0.36
    POSITIVE LOGITS
     CHAR
    0.66
     char
    0.66
     Char
    0.66
    CHAR
    0.58
    Char
    0.56
    MigrationBuilder
    0.48
     Chara
    0.46
    RegressionTest
    0.46
    IntoConstraints
    0.45
    char
    0.44
    Activations Density 0.106%

    No Known Activations