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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3211
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    Explanations

    expressions of time durations, particularly involving years and months

    oai_token-act-pair · gpt-3.5-turbo

    references to durations of time, particularly in years, months, and days

    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
    ãĥķãĤ©
    -0.78
    erno
    -0.70
    anooga
    -0.68
    irie
    -0.67
    idal
    -0.67
    Tro
    -0.64
    rote
    -0.64
    agonist
    -0.64
    ãĥĥãĥī
    -0.63
    liction
    -0.62
    POSITIVE LOGITS
     ago
    1.20
     increments
    1.02
     olds
    1.01
     apiece
    0.91
     Ago
    0.88
     intervals
    0.86
     elapsed
    0.83
    Duration
    0.80
     periods
    0.80
     onwards
    0.77
    Activations Density 0.134%

    No Known Activations