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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. 1192
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    Explanations

    references to pubs or bars

    oai_token-act-pair · gpt-3.5-turbo

    references to pubs and bars

    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
    Material
    -0.64
     letters
    -0.63
    Documents
    -0.63
     Documents
    -0.63
    ioxide
    -0.62
     declass
    -0.61
     spores
    -0.61
     captcha
    -0.60
    upload
    -0.58
    Force
    -0.57
    POSITIVE LOGITS
    bers
    1.08
    becue
    1.02
     frequ
    0.99
     patrons
    0.99
     tavern
    0.97
     pubs
    0.91
     boun
    0.89
     crawl
    0.88
     Tavern
    0.87
    goers
    0.87
    Activations Density 0.074%

    No Known Activations