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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. 4-RES-JB
    11. 11365
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    Explanations

    phrases related to being superior or exceeding a certain standard

    oai_token-act-pair · gpt-3.5-turbo

    references to superiority or being above a certain standard

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

    No Comments

    Negative Logits
    dll
    -0.73
     Instruments
    -0.71
    Introduced
    -0.71
    Access
    -0.67
    é¾
    -0.66
    assian
    -0.65
    Ag
    -0.64
    Express
    -0.63
    LIN
    -0.63
     Centers
    -0.63
    POSITIVE LOGITS
    uckland
    0.89
    ground
    0.88
    perty
    0.85
    mentioned
    0.69
    ceed
    0.68
    raf
    0.64
    aucus
    0.64
    fit
    0.64
    coat
    0.64
     dipping
    0.64
    Activations Density 0.015%

    No Known Activations