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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. 8-RES-JB
    6. 23432
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    Explanations

    names of people, especially with a focus on prominent individuals

    oai_token-act-pair · gpt-3.5-turbo

    key phrases and elements related to identification or presence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wip
    -0.68
    Õ
    -0.66
     brim
    -0.64
     defects
    -0.63
    ãĥ£
    -0.62
    ADRA
    -0.62
    natureconservancy
    -0.61
     disqual
    -0.59
     wid
    -0.58
    Merit
    -0.58
    POSITIVE LOGITS
    entin
    0.72
    cer
    0.68
    ence
    0.67
    emp
    0.66
    ocial
    0.65
    gin
    0.63
    intestinal
    0.63
    present
    0.63
    reviewed
    0.62
    duc
    0.61
    Activations Density 0.433%

    No Known Activations