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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. 3-RES-JB
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    Explanations

    the term "timely" or variations of it

    oai_token-act-pair · gpt-3.5-turbo

    terms related to timeliness and promptness in actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aden
    -0.80
    rug
    -0.78
    Ring
    -0.77
    lua
    -0.74
    ramid
    -0.73
    arov
    -0.71
    bending
    -0.71
    riks
    -0.68
    football
    -0.68
    ova
    -0.68
    POSITIVE LOGITS
     timely
    0.97
     overdue
    0.79
     meals
    0.78
    cffff
    0.77
    aneously
    0.76
     notifications
    0.76
     disclosures
    0.75
     showc
    0.75
     urgency
    0.74
     warnings
    0.74
    Activations Density 0.012%

    No Known Activations