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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 88196
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    semicolon usage in code structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LookAnd
    -0.69
    AsUp
    -0.56
    uxxxx
    -0.53
    TagHelper
    -0.52
    úrate
    -0.51
    tanleria
    -0.50
    PyExc
    -0.50
    RTLI
    -0.49
     betweenstory
    -0.48
    ImageContext
    -0.47
    POSITIVE LOGITS
     vectorielle
    0.47
     vectoriales
    0.46
     sintético
    0.44
     ciała
    0.43
     čierna
    0.43
     privée
    0.42
     végétale
    0.41
     sintética
    0.41
     étrangers
    0.40
     prywat
    0.40
    Activations Density 0.002%

    No Known Activations