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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. 10-RES-JB
    6. 10939
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    Explanations

    items or objects mentioned in a list

    oai_token-act-pair · gpt-3.5-turbo

    various types of items and topics associated with categories of social, legal, or tangible elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lez
    -0.65
     hindsight
    -0.65
    TW
    -0.64
    ixties
    -0.63
    nin
    -0.63
    nesia
    -0.63
    escription
    -0.62
    ozyg
    -0.62
    CHAT
    -0.61
    uckland
    -0.61
    POSITIVE LOGITS
     thereof
    1.09
     alike
    0.99
     pertaining
    0.99
     besides
    0.95
     related
    0.92
     relating
    0.89
     associated
    0.89
     respectively
    0.88
     thereto
    0.80
     deemed
    0.80
    Activations Density 0.233%

    No Known Activations