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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3153
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    Explanations

    numbers and their formatting in scientific contexts, particularly those commonly used in citations or references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stum
    -0.40
     DM
    -0.39
     statut
    -0.39
     backpack
    -0.38
     TSR
    -0.38
    rippa
    -0.38
     politics
    -0.38
    onStop
    -0.35
    yns
    -0.35
     shovel
    -0.34
    POSITIVE LOGITS
    TargetException
    0.72
    ➟
    0.68
     initComponents
    0.67
    AutoScaleMode
    0.66
     AssemblyCulture
    0.64
    featureID
    0.64
    SBATCH
    0.63
    AnchorStyles
    0.63
    awaiter
    0.63
    IntoConstraints
    0.62
    Activations Density 0.443%

    No Known Activations