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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. 0-RES-JB
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    Explanations

    technical or operational terms and concepts related to decision-making, safety, deployments, and efficiency

    oai_token-act-pair · gpt-3.5-turbo

    terms related to operational status and efficiency

    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
    grab
    -0.73
    ribe
    -0.72
    Cos
    -0.69
     Tears
    -0.69
    LESS
    -0.69
    achus
    -0.68
    fur
    -0.65
    iframe
    -0.65
    cloth
    -0.64
     Judd
    -0.63
    POSITIVE LOGITS
     operational
    3.39
     Oper
    1.70
     operating
    1.64
     logistical
    1.51
     operative
    1.45
     organis
    1.42
     organizational
    1.41
    Oper
    1.40
     operations
    1.38
     functional
    1.33
    Activations Density 0.017%

    No Known Activations