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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. 4006
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    Explanations

    themes related to human error and methods to mitigate it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    human error and mistakes

    np_acts-logits-general · gemini-2.5-flash-lite
    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
     estekak
    -0.32
    zköz
    -0.31
    oneofs
    -0.30
     librement
    -0.30
     libremente
    -0.30
     solidari
    -0.30
     Gang
    -0.30
     solidarité
    -0.29
    lijf
    -0.29
    yaret
    -0.29
    POSITIVE LOGITS
     errors
    1.56
     mistakes
    1.52
     error
    1.40
     Errors
    1.38
     Mistakes
    1.28
     errori
    1.25
    errors
    1.22
     errores
    1.21
     accuracy
    1.20
     mistake
    1.20
    Activations Density 0.072%

    No Known Activations