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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. 9-RES-JB
    11. 5408
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    Explanations

    occurrences of the word "Content" in various contexts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     damn
    -0.65
    JD
    -0.65
     Siem
    -0.63
    vals
    -0.62
     Sons
    -0.61
     Herb
    -0.60
    rolet
    -0.59
     mend
    -0.58
     moss
    -0.58
    wcs
    -0.58
    POSITIVE LOGITS
    edly
    1.45
    ment
    0.90
     creators
    0.89
    ions
    0.89
    ious
    0.80
    ed
    0.80
    iously
    0.78
    ication
    0.77
    ioned
    0.75
    ibilities
    0.73
    Activations Density 0.055%

    No Known Activations