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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18427
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    Explanations

    proper nouns and specific names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to personal identification or names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    rush
    -0.67
     recons
    -0.66
    storms
    -0.66
     brink
    -0.65
    Decre
    -0.65
    lux
    -0.64
    Conclusion
    -0.63
     Tend
    -0.62
    ndum
    -0.60
     contemplation
    -0.60
    POSITIVE LOGITS
     name
    2.13
     surname
    1.90
     names
    1.80
     initials
    1.80
    name
    1.78
     username
    1.72
     nickname
    1.69
     NAME
    1.67
    Name
    1.64
     Name
    1.63
    Activations Density 0.829%

    No Known Activations