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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 9437
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    references to labels and labeling in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Crom
    -0.36
    OGND
    -0.36
    OCCURRED
    -0.35
    atmosphère
    -0.34
     Dun
    -0.32
    __":
    -0.32
    getD
    -0.31
    endront
    -0.31
     Gon
    -0.31
     przes
    -0.31
    POSITIVE LOGITS
     label
    3.89
     Label
    3.45
     labels
    3.22
     LABEL
    3.13
     Labels
    2.95
    Label
    2.89
    label
    2.88
     labeling
    2.80
     labelling
    2.73
    LABEL
    2.61
    Activations Density 0.100%

    No Known Activations