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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. 12-RES-JB
    6. 15146
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    Explanations

    information related to medical conditions, treatments, and procedures

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    concepts related to health and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ò
    -1.71
     practition
    -1.70
    aditional
    -1.68
    ě
    -1.64
    ö
    -1.64
    ø
    -1.63
    û
    -1.63
    Ĝ
    -1.63
    Ă
    -1.63
    ą
    -1.63
    POSITIVE LOGITS
    ';
    0.88
    '
    0.87
    ',
    0.85
    ')
    0.81
    '.
    0.81
    ':
    0.80
    ,'
    0.78
    ↵
    0.78
    ?'
    0.77
    .'
    0.76
    Activations Density 0.059%

    No Known Activations