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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. 3533
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    Explanations

    words related to physical conditions expressing some kind of severity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to flaws or imperfections

    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
    CHR
    -0.70
     Ministers
    -0.59
     Administ
    -0.59
     concess
    -0.59
    ä¸ī
    -0.59
    Values
    -0.58
     Antiqu
    -0.58
     Reduce
    -0.57
    ħĭ
    -0.56
    ãĤ´ãĥ³
    -0.56
    POSITIVE LOGITS
    idation
    0.86
    etooth
    0.79
    idated
    0.78
    aughs
    0.78
    erella
    0.77
    uating
    0.77
    pees
    0.75
    ishing
    0.71
    beard
    0.70
    idity
    0.70
    Activations Density 0.072%

    No Known Activations