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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. 10-RES-JB
    11. 5186
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    Explanations

    medical conditions and syndromes

    oai_token-act-pair · gpt-3.5-turbo

    references to medical conditions and syndromes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.82
     Vote
    -0.79
    UTF
    -0.70
    endars
    -0.68
     Kislyak
    -0.67
    Commerce
    -0.66
     rooft
    -0.66
     Bezos
    -0.66
     ECO
    -0.65
    Beer
    -0.65
    POSITIVE LOGITS
     Symptoms
    1.72
     symptoms
    1.55
    ptoms
    1.50
     diagnosed
    1.40
     diagnosis
    1.39
     syndrome
    1.39
     symptom
    1.31
    diagn
    1.29
    Sym
    1.28
     onset
    1.27
    Activations Density 0.268%

    No Known Activations