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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. 7-RES-JB
    6. 24405
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    Explanations

    titles of books, movies, or other works

    oai_token-act-pair · gpt-3.5-turbo

    titles or names of creative works and their associated elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aneously
    -0.83
    ties
    -0.79
     exception
    -0.77
    rique
    -0.71
    istically
    -0.70
    ctor
    -0.69
    ded
    -0.68
    tops
    -0.66
    leases
    -0.65
    aments
    -0.64
    POSITIVE LOGITS
    hift
    1.49
    mith
    1.47
    peed
    1.39
    pread
    1.33
    ystem
    1.31
    pring
    1.28
    pace
    1.28
    chool
    1.24
    hip
    1.24
    afety
    1.18
    Activations Density 0.287%

    No Known Activations