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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. 14953
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    Explanations

    dates or time-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of dates in the text

    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
    mare
    -0.78
    chester
    -0.74
    lez
    -0.74
    regon
    -0.73
    rophic
    -0.71
     Osw
    -0.69
    estern
    -0.68
    terness
    -0.68
    ately
    -0.67
    atum
    -0.66
    POSITIVE LOGITS
    .(
    0.68
     incarnation
    0.67
    OGR
    0.66
     unsuccessful
    0.64
     Aviv
    0.62
    dule
    0.60
     engagements
    0.59
     unexpl
    0.59
    Discover
    0.58
    JD
    0.58
    Activations Density 0.028%

    No Known Activations