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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. 11-RES-JB
    11. 6333
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    INDEX
    Explanations

    information related to historical events and time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods, particularly past decades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    tackle
    -0.72
    ationally
    -0.67
    ress
    -0.64
     ALWAYS
    -0.63
    jas
    -0.62
     communicates
    -0.60
    ional
    -0.60
    anticipated
    -0.60
    lamm
    -0.60
    sers
    -0.60
    POSITIVE LOGITS
     1970
    1.64
     1930
    1.61
     1960
    1.60
     1980
    1.60
     1950
    1.60
     1990
    1.57
     1920
    1.53
     1940
    1.52
     1880
    1.41
     1890
    1.41
    Activations Density 0.161%

    No Known Activations