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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. 1-RES-JB
    11. 23580
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    Explanations

    words related to challenges or obstacles

    oai_token-act-pair · gpt-3.5-turbo

    variations of suffixes often used in medical or descriptive contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulu
    -0.47
     CLSID
    -0.46
    chuk
    -0.45
     Leilan
    -0.43
     [|
    -0.43
    dfx
    -0.42
     classrooms
    -0.40
     redistributed
    -0.39
    ometime
    -0.38
    elve
    -0.38
    POSITIVE LOGITS
    puff
    0.62
    terness
    0.61
    lihood
    0.59
     largeDownload
    0.55
    etheless
    0.52
    INESS
    0.49
    ciples
    0.49
    NESS
    0.48
    brew
    0.47
    WARE
    0.46
    Activations Density 1.018%

    No Known Activations