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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 24290
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    Explanations

    titles of books, games, movies, and other content

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of titles, primarily in the context of entertainment media

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

    No Comments

    Negative Logits
    aukee
    -0.61
     fence
    -0.59
     ceremonial
    -0.58
     ridge
    -0.58
     rapport
    -0.57
    rontal
    -0.56
    atory
    -0.56
     Gor
    -0.55
    ENTION
    -0.55
     Gener
    -0.54
    POSITIVE LOGITS
    chool
    0.93
    paces
    0.93
    pread
    0.86
    peak
    0.86
    afety
    0.85
    mith
    0.84
    hell
    0.82
    emis
    0.82
    ilver
    0.82
    hops
    0.80
    Activations Density 0.192%

    No Known Activations