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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. 6018
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    Explanations

    words related to social issues and challenges

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "to be" in various forms indicating states or conditions

    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
     Cosponsors
    -0.69
     Independence
    -0.68
     Nay
    -0.67
     Ago
    -0.67
     inquire
    -0.65
    eele
    -0.62
    parency
    -0.62
     slots
    -0.61
     Grants
    -0.61
     Tours
    -0.61
    POSITIVE LOGITS
     rampant
    1.29
     occurring
    1.26
     prevalent
    1.23
     rife
    1.22
     endemic
    1.22
     plag
    1.21
     exacerbated
    1.20
     pervasive
    1.13
     unavoidable
    1.12
     inevitable
    1.10
    Activations Density 0.271%

    No Known Activations