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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. 15079
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    Explanations

    words related to investigations, inquiries, or probing into issues

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and certain connecting words in a sentence structure

    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
    ilaterally
    -0.74
    emale
    -0.65
     Seym
    -0.61
    dn
    -0.60
     marqu
    -0.60
     Clarkson
    -0.58
     corrid
    -0.58
    FFFF
    -0.57
     vulner
    -0.57
    amorph
    -0.56
    POSITIVE LOGITS
    actionDate
    0.89
     SHARES
    0.70
     largeDownload
    0.66
     UPDATE
    0.65
     Flavoring
    0.62
     Psy
    0.61
     UNIVERS
    0.61
    UTERS
    0.61
     Steam
    0.59
     Wrestling
    0.58
    Activations Density 0.164%

    No Known Activations