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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. 2923
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    Explanations

    dates mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific days and their significance in the context of events

    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
    amily
    -0.69
    erm
    -0.66
     eleg
    -0.66
     unequ
    -0.65
    err
    -0.63
     bil
    -0.62
     woven
    -0.61
    uffy
    -0.61
    oplan
    -0.61
     enriched
    -0.61
    POSITIVE LOGITS
    aneously
    0.85
    nings
    0.85
    BUS
    0.79
    Fax
    0.78
     holidays
    0.76
    actionDate
    0.76
    holiday
    0.73
    realDonaldTrump
    0.71
    DAQ
    0.68
    slaught
    0.68
    Activations Density 0.040%

    No Known Activations