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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. 1288
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    INDEX
    Explanations

    words and phrases related to health conditions, particularly obesity

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obesity and its associated health issues

    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
    ube
    -0.78
    oral
    -0.76
    sky
    -0.75
    ovie
    -0.74
    uber
    -0.72
    sure
    -0.71
    opsis
    -0.71
    WP
    -0.70
     CLSID
    -0.70
    xon
    -0.70
    POSITIVE LOGITS
     obesity
    1.08
     prevalence
    1.06
     stigma
    0.98
    esity
    0.97
     metabolism
    0.97
     metabol
    0.95
     habits
    0.95
     Obesity
    0.94
     overweight
    0.93
     obese
    0.91
    Activations Density 0.037%

    No Known Activations