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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7631
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    references to barriers in various contexts, particularly in healthcare and material science

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     PyTuple
    -0.51
    HXLINE
    -0.50
    :+:
    -0.50
    ########.
    -0.49
     يتيمه
    -0.48
    RegressionTest
    -0.47
    astéroïdes
    -0.47
     مرئيه
    -0.46
    Hochspringen
    -0.45
     pleaſure
    -0.44
    POSITIVE LOGITS
    Bart
    0.60
     Bart
    0.60
     Barton
    0.56
     Barrier
    0.56
     Barber
    0.55
    Barber
    0.54
    Barb
    0.54
    Razor
    0.53
     Barb
    0.53
     Bare
    0.53
    Activations Density 0.437%

    No Known Activations