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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. 0-RES-JB
    6. 5767
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    Explanations

    mentions of grading systems or the act of grading

    oai_token-act-pair · gpt-3.5-turbo

    terms related to grading and assessment systems

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blink
    -0.82
    sels
    -0.74
     Kimmel
    -0.74
     Warp
    -0.73
     Airl
    -0.72
     Paste
    -0.69
     Evolution
    -0.68
     Orb
    -0.68
    agos
    -0.67
    ports
    -0.66
    POSITIVE LOGITS
     grading
    2.61
     graded
    1.94
     quizz
    1.28
     shar
    1.19
     quiz
    1.11
    jas
    1.03
     redd
    1.00
     pra
    0.99
     Course
    0.97
     rou
    0.95
    Activations Density 0.080%

    No Known Activations