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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 5845
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    names and terms associated with military units

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interopRequire
    -0.47
    styleable
    -0.45
     OMITBAD
    -0.41
     كومونز
    -0.39
    Dispatchers
    -0.37
     Spel
    -0.37
     ब्रेकडाउन
    -0.36
    lccn
    -0.36
    fromCharCode
    -0.35
     paramString
    -0.35
    POSITIVE LOGITS
     Thailand
    1.41
     Thai
    1.38
    Thailand
    1.26
     Bangkok
    1.23
    Thai
    1.21
    Bangkok
    1.14
     thailand
    1.13
     thai
    1.03
     Siam
    1.02
     Tha
    0.99
    Activations Density 0.123%

    No Known Activations