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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. 9-RES-JB
    6. 15458
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    INDEX
    Explanations

    years or time periods from the past

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating specific time periods or historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.77
    tackle
    -0.74
    hyde
    -0.73
    omever
    -0.72
    BIL
    -0.71
    olo
    -0.70
    uty
    -0.70
    ratom
    -0.70
    POSE
    -0.69
    nav
    -0.68
    POSITIVE LOGITS
     1980
    1.64
     1990
    1.63
     1970
    1.60
     1960
    1.57
     1930
    1.49
     1950
    1.48
     1940
    1.36
     1920
    1.34
    ixties
    1.34
     1890
    1.29
    Activations Density 0.258%

    No Known Activations