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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. 11-RES-JB
    11. 14207
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    INDEX
    Explanations

    references to events or conventions within the entertainment or technology industry

    oai_token-act-pair · gpt-3.5-turbo

    references to gaming conventions and expos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arial
    -0.65
    pie
    -0.64
    ictionary
    -0.63
    etooth
    -0.62
    hari
    -0.59
     uninsured
    -0.58
    requ
    -0.58
    uyomi
    -0.58
    utenant
    -0.57
    arily
    -0.57
    POSITIVE LOGITS
    ivals
    1.16
     attendees
    1.11
     keynote
    1.07
     2017
    1.06
     2015
    1.02
     2014
    1.00
     Expo
    1.00
     2016
    0.98
    2015
    0.98
    2017
    0.97
    Activations Density 0.187%

    No Known Activations