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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. 12-RES-JB
    11. 4972
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    Explanations

    information related to medical prognosis and treatment for cancer

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    terms related to prognosis and health conditions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Loch
    -0.58
     Apprentice
    -0.57
     aff
    -0.56
     Schwar
    -0.54
     Flint
    -0.54
     Pike
    -0.53
     Grove
    -0.53
     furnished
    -0.52
     indebted
    -0.52
     Palm
    -0.52
    POSITIVE LOGITS
    nosis
    1.38
    nostic
    1.31
    eny
    1.20
    ester
    1.05
    rame
    1.02
    resso
    0.94
    raphic
    0.90
    eday
    0.87
    raph
    0.87
    n
    0.86
    Activations Density 0.087%

    No Known Activations