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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 14424
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    Explanations

    terms related to thickness in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Monfieur
    -0.70
     Anſ
    -0.69
     itſelf
    -0.68
    featureID
    -0.65
     ſind
    -0.65
    bibfield
    -0.63
     Houſe
    -0.59
     Reſ
    -0.56
    arraycopy
    -0.54
     Jefus
    -0.54
    POSITIVE LOGITS
     thickness
    0.65
     espesor
    0.63
    épaisseur
    0.56
     thin
    0.55
     tasks
    0.52
    patient
    0.52
    thickness
    0.51
    task
    0.51
     task
    0.50
    CrossRef
    0.48
    Activations Density 0.231%

    No Known Activations