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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. 7-RES-JB
    11. 7209
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    Explanations

    words or tokens related to identification, such as 'id' or 'identity'

    oai_token-act-pair · gpt-3.5-turbo
    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
    wcs
    -0.72
     Galile
    -0.70
    Thumbnail
    -0.64
     Ago
    -0.63
    olicy
    -0.63
     furthe
    -0.62
    thia
    -0.61
    iolet
    -0.61
    velt
    -0.60
     walks
    -0.59
    POSITIVE LOGITS
    Ö¼
    0.68
    ellectual
    0.66
    llah
    0.65
    compl
    0.65
    iqueness
    0.64
     Amin
    0.63
    REDACTED
    0.63
    DX
    0.62
    utsche
    0.62
    utive
    0.60
    Activations Density 0.096%

    No Known Activations