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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. 2891
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    Explanations

    the term "Alpha" at varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Alpha" in various contexts

    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
    Ö¼
    -0.97
    puter
    -0.90
    enegger
    -0.87
    erving
    -0.82
    ROR
    -0.79
    NRS
    -0.77
    ringe
    -0.76
    alities
    -0.75
    SIGN
    -0.73
    rences
    -0.73
    POSITIVE LOGITS
     Centauri
    1.35
    cephal
    0.81
     male
    0.79
     Males
    0.79
     males
    0.77
    volent
    0.75
     Male
    0.72
     blocker
    0.70
     Alpha
    0.69
     Kappa
    0.66
    Activations Density 0.008%

    No Known Activations