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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. 9836
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    Explanations

    instances where something is officially recognized or endorsed as meeting certain standards through a certification process

    oai_token-act-pair · gpt-3.5-turbo

    terms related to certification and certification processes

    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
     scen
    -0.70
     Beh
    -0.69
    lihood
    -0.68
    hunt
    -0.67
    htar
    -0.66
    Ó
    -0.66
    axies
    -0.64
     Torn
    -0.63
    bill
    -0.63
     beh
    -0.62
    POSITIVE LOGITS
     certification
    1.22
     Certification
    1.07
    ificate
    1.04
     cert
    0.99
     certified
    0.94
    AFTA
    0.88
    ific
    0.87
    cert
    0.86
     certify
    0.85
    ifications
    0.85
    Activations Density 0.024%

    No Known Activations