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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. 3-RES-JB
    11. 9355
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    INDEX
    Explanations

    references to Wall Street

    oai_token-act-pair · gpt-3.5-turbo

    references to Wall Street

    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
    lihood
    -0.91
    ãģ¦
    -0.83
    netflix
    -0.79
    milo
    -0.74
    orate
    -0.71
    GMT
    -0.70
    Critical
    -0.70
     Carbuncle
    -0.68
    hift
    -0.67
    selection
    -0.66
    POSITIVE LOGITS
    abies
    1.23
    papers
    1.20
    paper
    1.00
    aby
    0.96
     Wall
    0.87
    banks
    0.85
    Wall
    0.79
    ahs
    0.77
    itzer
    0.77
    onne
    0.75
    Activations Density 0.007%

    No Known Activations