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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 13120
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    terms related to correctness and accuracy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nishi
    -0.53
     témo
    -0.53
    pillars
    -0.51
     sobretudo
    -0.51
     violenza
    -0.49
    ophobia
    -0.49
    SceneManagement
    -0.48
     UIFont
    -0.48
    volmente
    -0.48
    readObject
    -0.48
    POSITIVE LOGITS
     correct
    4.78
    correct
    4.28
     Correct
    4.28
    Correct
    4.11
     CORRECT
    3.65
    CORRECT
    2.94
     incorrect
    2.89
     correctly
    2.83
     correctness
    2.82
     corect
    2.80
    Activations Density 0.105%

    No Known Activations