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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. 6-RES-JB
    11. 17434
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    Explanations

    medical conditions or syndromes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific medical syndromes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yright
    -0.82
    endar
    -0.80
    ardless
    -0.72
    endars
    -0.72
    iances
    -0.71
    ried
    -0.70
    âĸ¬âĸ¬
    -0.69
    undai
    -0.68
    bats
    -0.67
    nuts
    -0.67
    POSITIVE LOGITS
     Syndrome
    0.95
    ptoms
    0.76
     syndrome
    0.72
     Spectrum
    0.72
    ogyn
    0.71
    chool
    0.70
     Parables
    0.70
     Scotia
    0.70
     Osc
    0.69
     Symptoms
    0.68
    Activations Density 0.021%

    No Known Activations