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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. 14689
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    references to classes and methods in programming

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ſicht
    -0.91
    +#+#
    -0.90
    ðsíða
    -0.87
     kasarigan
    -0.87
    ſſung
    -0.85
     témoig
    -0.84
     ſehr
    -0.81
    bildtitel
    -0.81
    <unused8>
    -0.81
    <unused14>
    -0.80
    POSITIVE LOGITS
     of
    0.37
     instead
    0.33
     value
    0.32
     for
    0.32
    value
    0.30
     from
    0.30
     being
    0.28
    我自己
    0.28
    Normdaten
    0.28
    rindo
    0.28
    Activations Density 0.714%

    No Known Activations