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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 10106
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    Explanations

    phrases related to past events or timeframes

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically events mentioned with the word "last" followed by a numeral

    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
    cil
    -0.80
    holes
    -0.75
    kaya
    -0.66
    aband
    -0.66
    aunders
    -0.65
    gans
    -0.62
     Franch
    -0.61
    ollow
    -0.60
    ular
    -0.59
    ikan
    -0.59
    POSITIVE LOGITS
     month
    0.98
     week
    0.97
     ditch
    0.93
     year
    0.90
     gasp
    0.86
     night
    0.86
     rites
    0.80
     summer
    0.78
     Month
    0.78
     Gleaming
    0.77
    Activations Density 0.078%

    No Known Activations