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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. 8518
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    Explanations

    features or rules mentioned in technical contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of features and rules in technology contexts

    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
    amples
    -0.91
    TeX
    -0.83
     largeDownload
    -0.76
    endars
    -0.75
    eeds
    -0.70
    ockets
    -0.68
    aples
    -0.65
    IGHTS
    -0.63
    llah
    -0.63
    orters
    -0.63
    POSITIVE LOGITS
     whereby
    0.75
     nicknamed
    0.72
     applied
    0.71
     called
    0.69
     applies
    0.67
    uses
    0.67
     loophole
    0.66
     known
    0.66
     workaround
    0.66
     MGM
    0.65
    Activations Density 0.316%

    No Known Activations