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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. 11-RES-JB
    6. 22940
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    Explanations

    words related to unique identifiers or titles, such as names, initials, or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    the letter "P" at the beginning of words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     adm
    -0.75
     Bots
    -0.68
     roy
    -0.67
     Deter
    -0.63
     phyl
    -0.62
     variables
    -0.61
     diplom
    -0.61
     Miko
    -0.61
    flows
    -0.60
     pleas
    -0.60
    POSITIVE LOGITS
    ossible
    1.40
    redict
    1.37
    ossibly
    1.35
    odcast
    1.32
    rotein
    1.31
    ERSON
    1.31
    ractical
    1.30
    ermanent
    1.28
    owered
    1.26
    ilot
    1.25
    Activations Density 0.032%

    No Known Activations