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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. 8-RES-JB
    11. 1997
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     partName
    -0.69
     Communism
    -0.66
    Topics
    -0.65
     USSR
    -0.64
     Mae
    -0.64
     Freddie
    -0.62
     Nuggets
    -0.60
     Egyptians
    -0.60
     Newt
    -0.56
     hunger
    -0.56
    POSITIVE LOGITS
    andowski
    0.93
    aghan
    0.83
    atto
    0.83
    lez
    0.79
    acco
    0.78
    aman
    0.73
    ogl
    0.72
    govtrack
    0.71
    rophic
    0.70
    coni
    0.70
    Activations Density 0.116%

    No Known Activations