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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. 2-RES-JB
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    Explanations

    references to grades in an educational context

    oai_token-act-pair · gpt-3.5-turbo

    references to educational grading and academic performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.85
    riks
    -0.76
    issance
    -0.74
    yssey
    -0.74
    sle
    -0.71
    othe
    -0.71
    stration
    -0.70
    population
    -0.68
    gren
    -0.67
    spoken
    -0.67
    POSITIVE LOGITS
     grade
    1.17
     grades
    1.09
    Grade
    1.05
     Grade
    0.98
     grading
    0.92
     rating
    0.85
     plutonium
    0.80
    grade
    0.72
     graded
    0.67
     insign
    0.66
    Activations Density 0.008%

    No Known Activations