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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. 20533
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    Explanations

    words related to technical and medical terms, and possibly locations or names with complex patterns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical and anatomical concepts

    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
    accompan
    -0.81
    Cong
    -0.68
    pid
    -0.62
    puter
    -0.61
    Unix
    -0.61
    Austin
    -0.59
    PIN
    -0.57
    Brand
    -0.57
     Ct
    -0.57
     Nare
    -0.57
    POSITIVE LOGITS
     Journals
    0.74
    ilus
    0.73
    aurus
    0.70
    gypt
    0.69
    wered
    0.68
    heric
    0.67
    xual
    0.66
    iencies
    0.66
    igans
    0.66
    sembly
    0.66
    Activations Density 0.159%

    No Known Activations