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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. 9-RES-JB
    11. 24260
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    INDEX
    Explanations

    descriptions of clothing items and accessories

    oai_token-act-pair · gpt-3.5-turbo

    descriptive phrases related to fashion and food

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    xual
    -0.59
    Leaks
    -0.59
    Versions
    -0.58
    sic
    -0.57
    terms
    -0.57
     pse
    -0.57
    polit
    -0.57
     insofar
    -0.56
     proverb
    -0.56
    wikipedia
    -0.56
    POSITIVE LOGITS
     ..........
    0.66
     Chattanooga
    0.59
     Asheville
    0.58
     debuted
    0.54
     flavorful
    0.54
     Jacksonville
    0.53
     dazzling
    0.53
     Wilmington
    0.53
     adorable
    0.53
     NOAA
    0.52
    Activations Density 1.000%

    No Known Activations