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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 18407
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    Explanations

    medical symptoms in text

    oai_token-act-pair · gpt-3.5-turbo

    references to medical symptoms

    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
    ISO
    -0.75
    yss
    -0.68
    İ
    -0.67
    oir
    -0.66
    company
    -0.64
    olan
    -0.61
    lus
    -0.61
    esan
    -0.61
    berman
    -0.61
    hire
    -0.60
    POSITIVE LOGITS
    ptoms
    1.57
     Symptoms
    1.23
     symptoms
    1.21
     symptom
    0.89
    igue
    0.87
     worsen
    0.85
     ailments
    0.84
    igmatic
    0.83
     manifestations
    0.82
     severity
    0.81
    Activations Density 0.016%

    No Known Activations