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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. 3-RES-JB
    11. 17765
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    Explanations

    the name "Doug" with high activations

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the name "Doug" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.72
    ĺħ
    -0.70
    kaya
    -0.70
    istle
    -0.70
    ISM
    -0.69
    mberg
    -0.68
    crime
    -0.67
    CVE
    -0.67
    senal
    -0.67
    nces
    -0.67
    POSITIVE LOGITS
    herty
    1.48
    ards
    0.99
     Doug
    0.99
    arded
    0.89
    aneers
    0.86
     Ell
    0.82
    Doug
    0.79
     Matthews
    0.77
     Fir
    0.77
    ords
    0.76
    Activations Density 0.004%

    No Known Activations