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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8920
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    Explanations

    any mentions of specific grades

    oai_token-act-pair · gpt-3.5-turbo

    references to academic grading systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bundy
    -0.90
    ĸļ
    -0.74
    eers
    -0.73
    orial
    -0.72
    iak
    -0.71
    reprene
    -0.69
    thia
    -0.69
    ogene
    -0.68
    riks
    -0.68
    issance
    -0.68
    POSITIVE LOGITS
     grades
    0.99
     rating
    0.89
     grade
    0.89
     grading
    0.85
    Grade
    0.78
     plutonium
    0.76
    ably
    0.75
     ratings
    0.72
     insign
    0.68
    ific
    0.68
    Activations Density 0.016%

    No Known Activations