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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. 7215
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    Explanations

    medical treatments or interventions

    oai_token-act-pair · gpt-3.5-turbo

    references to medical treatments

    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
    bour
    -0.65
    ede
    -0.65
    arrass
    -0.64
     compr
    -0.63
    erd
    -0.62
    Dick
    -0.62
    beck
    -0.60
    inet
    -0.60
    uld
    -0.60
    prints
    -0.59
    POSITIVE LOGITS
     regimen
    0.95
     treatments
    0.90
     treatment
    0.88
     therapies
    0.87
    ilitating
    0.86
     therapy
    0.85
     Treatment
    0.80
    treatment
    0.80
    ttes
    0.78
    culosis
    0.78
    Activations Density 0.025%

    No Known Activations