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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. 3-RES-JB
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    Explanations

    medical conditions related to obesity

    oai_token-act-pair · gpt-3.5-turbo

    references to obesity and related health issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ×Ļ×
    -0.76
    sky
    -0.73
    une
    -0.73
    esa
    -0.70
     Pon
    -0.70
     RPM
    -0.70
     VIS
    -0.68
     Historic
    -0.68
    assian
    -0.67
    krit
    -0.66
    POSITIVE LOGITS
     obesity
    1.19
    esity
    1.06
     Obesity
    0.94
     obese
    0.92
     epidemic
    0.86
     overweight
    0.86
     metabolism
    0.85
    weed
    0.81
     metabol
    0.81
     stigma
    0.80
    Activations Density 0.008%

    No Known Activations