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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. 10-RES-JB
    11. 4889
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    Explanations

    proper nouns, especially names of individuals and locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.53
    iculty
    -0.51
    âĢ¢âĢ¢
    -0.49
     specialized
    -0.49
     dotted
    -0.48
     irony
    -0.48
    ographed
    -0.47
     duplicate
    -0.47
    anwhile
    -0.46
     denomin
    -0.46
    POSITIVE LOGITS
    zbollah
    0.69
    xit
    0.68
    ussia
    0.68
    Coin
    0.68
    ifa
    0.67
    ullah
    0.67
    addafi
    0.66
    á
    0.66
    ahu
    0.62
    hra
    0.62
    Activations Density 0.559%

    No Known Activations