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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. 8312
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    Explanations

    phrases related to the number of people being mentioned in a context

    oai_token-act-pair · gpt-3.5-turbo

    references to groups or numbers of people

    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
    inventoryQuantity
    -0.84
    tnc
    -0.66
    cknow
    -0.64
    ķ
    -0.63
     Uri
    -0.63
     Afric
    -0.62
    ç·
    -0.61
    à¤
    -0.60
    gradient
    -0.60
    OLOGY
    -0.59
    POSITIVE LOGITS
     apiece
    1.24
     vying
    1.01
     participating
    0.98
     crammed
    0.95
     per
    0.92
     competing
    0.92
     attending
    0.90
     willing
    0.89
     simultaneously
    0.88
     occupying
    0.87
    Activations Density 0.284%

    No Known Activations