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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21364
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    Explanations

    words related to medical test results

    oai_token-act-pair · gpt-3.5-turbo

    references to drug test results and their outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Nap
    -0.84
    TOR
    -0.79
    erity
    -0.79
    pread
    -0.78
    emonic
    -0.78
    chair
    -0.75
    RAW
    -0.74
    hare
    -0.73
    workshop
    -0.71
    conservancy
    -0.70
    POSITIVE LOGITS
     positive
    0.72
     leukemia
    0.71
     ATF
    0.71
     uranium
    0.71
     screening
    0.69
     tuberculosis
    0.68
     urine
    0.68
     unfit
    0.68
    negative
    0.65
     MDMA
    0.65
    Activations Density 0.038%

    No Known Activations