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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. 18272
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    Explanations

    abbreviations related to location names

    oai_token-act-pair · gpt-3.5-turbo

    references to the city of San Francisco

    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
    dash
    -0.73
    ãĤ¡
    -0.72
    ives
    -0.69
    uyomi
    -0.66
    unct
    -0.66
    hs
    -0.65
    llers
    -0.64
     dysph
    -0.63
     Jav
    -0.61
     crank
    -0.61
    POSITIVE LOGITS
    SAN
    1.13
    ctuary
    0.97
    ITY
    0.96
     SAN
    0.91
     ANGEL
    0.87
    URA
    0.85
    ction
    0.83
    ISH
    0.83
    IFIC
    0.83
     Francisco
    0.81
    Activations Density 0.006%

    No Known Activations