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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. 11-RES-JB
    11. 831
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    Explanations

    phrases related to taking precautions and managing risk

    oai_token-act-pair · gpt-3.5-turbo

    references to regulatory agencies and potential legal or bureaucratic processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     anecd
    -0.74
    berra
    -0.70
     grooming
    -0.69
    cephal
    -0.68
     princ
    -0.64
    elsius
    -0.63
     comb
    -0.62
    etsk
    -0.62
    uyomi
    -0.61
    unci
    -0.61
    POSITIVE LOGITS
     ABOUT
    1.66
     THERE
    1.57
     WITH
    1.54
     LIKE
    1.52
     THAT
    1.52
     TO
    1.51
     THEM
    1.50
     ITS
    1.50
     THEIR
    1.50
     THEY
    1.49
    Activations Density 0.220%

    No Known Activations