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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 10583
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    terms related to correctness and incorrectness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    textLabel
    -0.37
     Marin
    -0.33
     highly
    -0.32
    Marin
    -0.32
    mData
    -0.32
     \
    -0.31
     chin
    -0.31
     â
    -0.30
    bcm
    -0.30
     Hef
    -0.29
    POSITIVE LOGITS
    wrong
    1.02
     Wrong
    1.01
     wrong
    0.98
    Wrong
    0.94
     WRONG
    0.90
    WRONG
    0.88
     Correct
    0.88
     Incorrect
    0.85
    rungsseite
    0.84
    Incorrect
    0.84
    Activations Density 0.163%

    No Known Activations