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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. 6-RES-JB
    11. 259
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    INDEX
    Explanations

    proper nouns from various fields including names of companies, movies, technology-related terms, and locations

    oai_token-act-pair · gpt-3.5-turbo

    titles and names of notable entities or works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.83
    natureconservancy
    -0.76
     guiActiveUnfocused
    -0.69
     [&
    -0.67
     exerc
    -0.63
    soType
    -0.61
     sugg
    -0.59
    zona
    -0.58
     ......
    -0.58
    ;;;;;;;;;;;;
    -0.57
    POSITIVE LOGITS
    ogether
    0.82
    dinand
    0.69
    anooga
    0.67
    withstanding
    0.67
    quartered
    0.66
    respective
    0.66
    STON
    0.66
    assium
    0.63
    anmar
    0.62
    ague
    0.62
    Activations Density 0.263%

    No Known Activations