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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. 0-RES-JB
    11. 10016
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    INDEX
    Explanations

    words related to technology and specifications, especially focusing on performance metrics like "Ultra" and "resolution powerhouse."

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Ultra" model of a product or service

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ledger
    -0.72
    pen
    -0.69
     profession
    -0.68
     accounting
    -0.68
     barking
    -0.67
    jen
    -0.66
    ylan
    -0.66
    PO
    -0.65
    Pitt
    -0.64
     merry
    -0.63
    POSITIVE LOGITS
     Ultra
    3.68
    Ultra
    2.93
     Ultr
    1.77
     Extreme
    1.43
     Turbo
    1.41
     Omega
    1.36
     Ult
    1.32
    Ult
    1.23
     Platinum
    1.19
     Unlimited
    1.19
    Activations Density 0.025%

    No Known Activations