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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. 10-RES-JB
    11. 4371
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    Explanations

    abbreviations and codes, such as "HI-SE" or "$25"

    oai_token-act-pair · gpt-3.5-turbo

    references to scientific or technical organizations and concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nesting
    -0.54
    interstitial
    -0.52
     murd
    -0.52
     nasal
    -0.50
     disgruntled
    -0.49
     overcrowd
    -0.48
     folks
    -0.48
     scare
    -0.48
     placeholder
    -0.48
     microscopic
    -0.48
    POSITIVE LOGITS
    ghazi
    0.55
    <|endoftext|>
    0.53
    merce
    0.53
    omics
    0.50
    =-=-=-=-=-=-=-=-
    0.50
    DonaldTrump
    0.50
    eu
    0.49
     McDonnell
    0.49
    DCS
    0.49
     Fas
    0.49
    Activations Density 1.154%

    No Known Activations