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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. 6035
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    Explanations

    references to visual artworks or designs

    oai_token-act-pair · gpt-3.5-turbo

    references to artwork and imagery

    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
    ney
    -0.85
    bern
    -0.82
    kus
    -0.79
    ber
    -0.78
    bay
    -0.76
    neys
    -0.75
    vol
    -0.75
    eln
    -0.75
    val
    -0.73
    ital
    -0.71
    POSITIVE LOGITS
     Everywhere
    0.77
    paio
    0.74
    velength
    0.73
    isSpecialOrderable
    0.73
    SourceFile
    0.73
    allery
    0.73
     artwork
    0.71
     Atmosp
    0.70
    tesy
    0.68
    ickr
    0.68
    Activations Density 0.057%

    No Known Activations