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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. 5960
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    Explanations

    technical terms related to statistics and programming, especially those associated with the Bayesian method

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistics and programming expertise

    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
    ãĥĥãĥī
    -0.81
     leaked
    -0.81
     Armageddon
    -0.80
     riots
    -0.79
     leak
    -0.79
     leaks
    -0.78
     ugly
    -0.78
     strang
    -0.77
     blurry
    -0.76
     worse
    -0.76
    POSITIVE LOGITS
     Graduate
    1.33
     Faculty
    1.31
    Course
    1.28
     graduates
    1.28
     graduate
    1.27
     Bachelor
    1.27
     Instructor
    1.27
    achelor
    1.27
     internship
    1.25
    Students
    1.24
    Activations Density 0.603%

    No Known Activations