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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. 4-RES-JB
    11. 19990
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    Explanations

    terms related to medical treatments and solutions

    oai_token-act-pair · gpt-3.5-turbo

    references to potential cures for ailments or conditions

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

    No Comments

    Negative Logits
    odd
    -0.64
     Huss
    -0.63
     Fired
    -0.63
    raltar
    -0.63
    adden
    -0.63
    RAW
    -0.62
    Interested
    -0.62
    doms
    -0.60
     Honour
    -0.60
    Dick
    -0.60
    POSITIVE LOGITS
     cure
    1.14
    nces
    1.04
     cures
    1.03
     curing
    0.83
    llan
    0.79
    thood
    0.78
    tt
    0.76
    crow
    0.75
    nce
    0.74
    stall
    0.74
    Activations Density 0.012%

    No Known Activations