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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. 6-RES-JB
    6. 3768
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    Explanations

    technical terms and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating order or sequencing in arguments or explanations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥı
    -0.62
    Cell
    -0.59
    bound
    -0.56
    Grab
    -0.56
    Sund
    -0.56
     Hath
    -0.55
    Tonight
    -0.55
    Bound
    -0.55
    Cele
    -0.55
    ãĥĩ
    -0.55
    POSITIVE LOGITS
     Conclusion
    0.78
    maxwell
    0.74
    thodox
    0.73
    zbollah
    0.70
    matically
    0.67
    gee
    0.67
     interesting
    0.64
    withstanding
    0.64
     Discussion
    0.64
     objection
    0.64
    Activations Density 0.342%

    No Known Activations