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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. 2-RES-JB
    6. 8801
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    Explanations

    terms related to physical descriptions of creatures and people

    oai_token-act-pair · gpt-3.5-turbo

    terms related to hair loss or baldness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OURCE
    -0.87
    ULT
    -0.86
    EMS
    -0.86
    displayText
    -0.76
    Machine
    -0.76
    externalActionCode
    -0.76
    afe
    -0.73
     Provided
    -0.72
    Privacy
    -0.72
    INTER
    -0.72
    POSITIVE LOGITS
     bald
    1.23
    ness
    1.03
     eagle
    0.99
    cies
    0.95
    faced
    0.91
    headed
    0.90
    ric
    0.87
     Bald
    0.87
    entimes
    0.86
    tailed
    0.85
    Activations Density 0.005%

    No Known Activations