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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. 7-RES-JB
    11. 21600
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    Explanations

    words related to effective and efficient practices, such as communication, education, shooting, and investment

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with effective communication and positive attributes in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isively
    -0.68
    tf
    -0.68
    Downloadha
    -0.64
    ritz
    -0.62
    igham
    -0.61
    usp
    -0.60
    pora
    -0.60
    noxious
    -0.60
    otom
    -0.57
    rict
    -0.55
    POSITIVE LOGITS
     outweigh
    0.82
    smanship
    0.80
     fodder
    0.73
    manship
    0.73
    Reviewer
    0.69
    ounters
    0.68
     payoff
    0.68
     Practices
    0.67
     mate
    0.66
     outwe
    0.65
    Activations Density 0.411%

    No Known Activations