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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. 8-RES-JB
    11. 10793
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    Explanations

    sequences related to instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of cells and their roles or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    farious
    -0.71
    oiler
    -0.70
    itaire
    -0.64
    Reason
    -0.63
    odox
    -0.63
    å½
    -0.61
    ito
    -0.58
    wives
    -0.56
    frac
    -0.55
     è£ıè
    -0.55
    POSITIVE LOGITS
     also
    0.75
     culmin
    0.72
     additionally
    0.71
     concludes
    0.66
     versatility
    0.63
     eclectic
    0.62
     integrates
    0.61
     Includes
    0.59
     contrasted
    0.58
     ensemble
    0.56
    Activations Density 1.407%

    No Known Activations