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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. 4-RES-JB
    11. 22457
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    Explanations

    words related to medical test results such as "positive" and "negative"

    oai_token-act-pair · gpt-3.5-turbo

    references to drug test results

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

    No Comments

    Negative Logits
    TOR
    -0.86
    hare
    -0.83
    Nap
    -0.76
    å°Ĩ
    -0.76
    HOW
    -0.76
    erity
    -0.75
    UNCH
    -0.75
    Adventure
    -0.73
    accompan
    -0.71
    ETF
    -0.71
    POSITIVE LOGITS
     urine
    0.81
     positive
    0.76
     screening
    0.75
    ysis
    0.71
     screenings
    0.71
     examiner
    0.70
     correlation
    0.69
     negative
    0.68
     uranium
    0.68
     Examiner
    0.66
    Activations Density 0.019%

    No Known Activations