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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. 23709
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    Explanations

    words related to identification and branding, especially focusing on the design and recognition of logos and graphics

    oai_token-act-pair · gpt-3.5-turbo

    references to branding and visual identification elements such as logos and colors

    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
    isky
    -0.70
    moil
    -0.65
     Funding
    -0.62
    OPE
    -0.62
     Shutdown
    -0.62
    Management
    -0.61
    ongo
    -0.61
     Slaughter
    -0.61
     quotas
    -0.60
    funding
    -0.60
    POSITIVE LOGITS
     signify
    1.53
     depict
    1.47
     denote
    1.44
     symbol
    1.43
     resemble
    1.36
     accent
    1.35
     evoke
    1.32
     visually
    1.31
     remind
    1.27
     decoration
    1.26
    Activations Density 0.405%

    No Known Activations