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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 10658
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    Explanations

    keywords related to education and testing, particularly focused on standardized tests and assessment

    oai_token-act-pair · gpt-3.5-turbo

    references to standardized testing and assessment in education

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     humid
    -0.68
    assad
    -0.68
    cedented
    -0.66
     unnamed
    -0.65
     Daylight
    -0.65
    arger
    -0.62
     hiber
    -0.61
     Tyr
    -0.61
     unpop
    -0.61
     contiguous
    -0.60
    POSITIVE LOGITS
    osterone
    1.12
     exams
    0.90
    itsu
    0.87
    ploma
    0.85
     percentile
    0.83
     Instructor
    0.82
     GPA
    0.81
     literacy
    0.81
     grades
    0.78
    chell
    0.78
    Activations Density 0.048%

    No Known Activations