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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. 537
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    Explanations

    references to official reports, studies, and publications from various institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to official reports and studies from government or credible organizations

    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
    achev
    -0.61
    aah
    -0.61
     tho
    -0.60
     =>
    -0.60
    ardless
    -0.60
    trak
    -0.59
    !:
    -0.59
     !!
    -0.57
     versa
    -0.57
     silence
    -0.56
    POSITIVE LOGITS
     unearthed
    0.68
     unse
    0.57
     methodology
    0.57
     Insight
    0.56
     titled
    0.55
    asuring
    0.55
    ocamp
    0.55
     Prosper
    0.55
    ortium
    0.54
    Leaks
    0.54
    Activations Density 0.617%

    No Known Activations