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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. 5-RES-JB
    6. 20456
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    Explanations

    words related to social welfare programs, particularly Social Security

    oai_token-act-pair · gpt-3.5-turbo

    references to social security programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nces
    -0.75
    Äĩ
    -0.74
    è¦ļéĨĴ
    -0.67
     needless
    -0.67
    oning
    -0.66
     ridden
    -0.64
    mares
    -0.64
    ilts
    -0.63
     Twain
    -0.63
     Shannon
    -0.63
    POSITIVE LOGITS
    Flow
    0.82
    Registration
    0.78
     Security
    0.78
    Health
    0.77
     Equality
    0.77
    Work
    0.75
    ists
    0.74
    Social
    0.74
     Advisor
    0.73
     Forces
    0.73
    Activations Density 0.012%

    No Known Activations