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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. 6-RES-JB
    11. 21996
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    Explanations

    references to reports and findings in official or scholarly contexts

    oai_token-act-pair · gpt-3.5-turbo

    reports that contain statistical data or findings on social issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     barric
    -0.76
    igslist
    -0.71
     Craigslist
    -0.70
     chapel
    -0.65
     eternity
    -0.64
     sew
    -0.63
     manif
    -0.62
     spray
    -0.62
    route
    -0.62
    SourceFile
    -0.62
    POSITIVE LOGITS
     findings
    0.92
    rehensive
    0.89
     recommending
    0.89
     methodology
    0.83
     scathing
    0.83
     recommendations
    0.83
     damning
    0.82
     conclusions
    0.80
     analys
    0.78
     examining
    0.77
    Activations Density 0.381%

    No Known Activations