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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. 3-RES-JB
    6. 7928
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    Explanations

    words related to identifying or being identified

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of making or becoming identified

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issue
    -0.68
    noon
    -0.67
    FTWARE
    -0.67
    kers
    -0.66
    ker
    -0.64
    dimension
    -0.64
    Course
    -0.64
    ngth
    -0.63
    NOT
    -0.62
     Osw
    -0.62
    POSITIVE LOGITS
    ification
    1.03
    ifications
    0.95
    ify
    0.93
    ifiers
    0.92
    ifies
    0.92
    ified
    0.88
    utical
    0.86
    ific
    0.86
    ifying
    0.85
    rices
    0.82
    Activations Density 0.022%

    No Known Activations