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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 11538
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    programming language syntax and function calls

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    뀔
    -0.49
    뀜
    -0.46
    舺
    -0.43
    RenderAtEndOf
    -0.42
    eseorang
    -0.42
     eingesetzt
    -0.41
    뀐
    -0.41
    Revenir
    -0.41
    )++;
    -0.41
    ᴗ
    -0.40
    POSITIVE LOGITS
     PyObject
    0.73
    JNIEnv
    0.69
     autorytatywna
    0.59
     lua
    0.56
    featureID
    0.53
    PyObject
    0.53
     mxArray
    0.52
    Lua
    0.48
    hObject
    0.47
     Lua
    0.47
    Activations Density 0.411%

    No Known Activations