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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. 11-RES-JB
    11. 5935
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    Explanations

    educational terms related to teaching and learning, such as "math," "English," "students," and "class."

    oai_token-act-pair · gpt-3.5-turbo

    references to educational standards and assessment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.85
     restaur
    -0.76
    yip
    -0.74
    ktop
    -0.71
     brokers
    -0.69
     franch
    -0.69
     extrad
    -0.69
    \\\\
    -0.68
    76561
    -0.68
    Thumbnail
    -0.65
    POSITIVE LOGITS
     homework
    1.61
     exams
    1.53
     grades
    1.52
     classroom
    1.44
     math
    1.41
     graduation
    1.40
     Mathematics
    1.39
     GPA
    1.38
    gebra
    1.38
     maths
    1.37
    Activations Density 0.609%

    No Known Activations