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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. 12-RES-JB
    6. 4772
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    INDEX
    Explanations

    years in the 1970s

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    chronological connections and time references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cius
    -0.78
    rawdownloadcloneembedreportprint
    -0.78
    eenth
    -0.74
    Ĥİ
    -0.74
    ertodd
    -0.72
    awei
    -0.71
    Weiss
    -0.70
    rio
    -0.70
    ailable
    -0.67
    È
    -0.67
    POSITIVE LOGITS
     1981
    1.89
     1982
    1.87
     1983
    1.82
     1979
    1.81
     1977
    1.80
     1980
    1.80
     1976
    1.80
     1974
    1.76
     1978
    1.76
     1973
    1.76
    Activations Density 0.152%

    No Known Activations