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    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. 15935
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    Explanations

    numerical references to specific chapters within a book or series

    oai_token-act-pair · gpt-3.5-turbo

    references to specific chapters in a book or document

    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
    oggles
    -0.70
    berman
    -0.69
    zzle
    -0.67
    fitting
    -0.66
     blaster
    -0.65
    enez
    -0.64
    yg
    -0.64
    pes
    -0.63
     fitt
    -0.63
    vant
    -0.62
    POSITIVE LOGITS
    ĸļ
    1.15
     chapter
    0.83
    acters
    0.82
     chapters
    0.82
     Chapters
    0.80
    icularly
    0.78
    chapter
    0.76
    naire
    0.76
    book
    0.74
    hound
    0.73
    Activations Density 0.019%

    No Known Activations