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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8466
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    Explanations

    actions involving the use of sharp objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    *)&
    -0.64
    crollView
    -0.53
    AnimationsModule
    -0.52
    hops
    -0.50
    ftagPool
    -0.48
     Wally
    -0.47
    \{\\
    -0.47
    rull
    -0.47
    eraan
    -0.47
    Wally
    -0.47
    POSITIVE LOGITS
     sharp
    1.62
    sharp
    1.44
     sharpness
    1.40
     sharpened
    1.40
     sharper
    1.36
     SHARP
    1.27
     Sharp
    1.23
    Sharp
    1.22
     sharpen
    1.17
     razor
    1.12
    Activations Density 0.420%

    No Known Activations