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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. 1-RES-JB
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    Explanations

    medical conditions ending in 'syndrome' and 's' term derivatives

    oai_token-act-pair · gpt-3.5-turbo

    references to various medical syndromes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endar
    -0.83
    tained
    -0.68
     actionGroup
    -0.67
    rient
    -0.66
    yright
    -0.66
    har
    -0.65
    cé
    -0.63
    ectar
    -0.61
    ried
    -0.61
    TAIN
    -0.61
    POSITIVE LOGITS
     Syndrome
    1.27
     syndrome
    1.14
    ptoms
    0.93
     epile
    0.79
     Spectrum
    0.76
     Awareness
    0.75
    yip
    0.75
     psychosis
    0.75
     Symptoms
    0.74
     tox
    0.73
    Activations Density 0.006%

    No Known Activations