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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. 6-RES-JB
    6. 21661
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    Explanations

    keywords related to anatomy and research studies

    oai_token-act-pair · gpt-3.5-turbo

    terms related to brain functions and anatomy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.83
     Brother
    -0.66
     Nem
    -0.62
     Keeper
    -0.61
     Garg
    -0.59
     Strongh
    -0.58
     è£ı
    -0.58
    scl
    -0.58
     Lies
    -0.57
    ãĥ¼ãĥ«
    -0.57
    POSITIVE LOGITS
     exempted
    0.78
    hetical
    0.77
    pled
    0.76
     missing
    0.75
    opt
    0.71
     whose
    0.70
    ridge
    0.69
    recorded
    0.69
    missing
    0.68
    oli
    0.67
    Activations Density 0.473%

    No Known Activations