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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. 23003
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    Explanations

    words related to various types of products, activities, and events

    oai_token-act-pair · gpt-3.5-turbo
    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
    --------------------------------------------------------
    -0.77
    Tokens
    -0.67
    Ĭ±
    -0.63
    actionDate
    -0.62
    SSL
    -0.60
     Roof
    -0.60
     CLR
    -0.59
    KNOWN
    -0.58
     Users
    -0.56
    cknow
    -0.55
    POSITIVE LOGITS
     represents
    1.24
     belongs
    1.21
     deserves
    1.18
     reminds
    1.12
     signifies
    1.10
     proves
    1.09
     serves
    1.09
     contains
    1.09
     differs
    1.07
     demonstrates
    1.06
    Activations Density 0.157%

    No Known Activations