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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. 9-RES-JB
    11. 1608
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    Explanations

    phrases indicating a lack of knowledge or understanding

    oai_token-act-pair · gpt-3.5-turbo

    negative phrases indicating lack of knowledge or understanding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rus
    -0.62
     intervals
    -0.60
     Decay
    -0.59
    é¾įå¥ij士
    -0.57
     interim
    -0.57
     Slam
    -0.57
     weap
    -0.56
     Instruments
    -0.55
     Burr
    -0.54
     Cosponsors
    -0.54
    POSITIVE LOGITS
    eele
    0.76
    mentioned
    0.72
    este
    0.72
     understand
    0.68
    Understanding
    0.67
     realize
    0.67
    rans
    0.66
    noticed
    0.66
    hin
    0.65
    icators
    0.65
    Activations Density 0.116%

    No Known Activations