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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. 8-RES-JB
    11. 8401
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    Explanations

    medical terms and technical jargon related to medical processes and diagnostics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical evaluations and assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    itol
    -0.65
    mods
    -0.62
    achev
    -0.61
    apeake
    -0.59
    ãĥĺãĥ©
    -0.58
    ç¥ŀ
    -0.58
    tackle
    -0.57
    ãĤ¼ãĤ¦ãĤ¹
    -0.57
    olina
    -0.56
    Ö
    -0.54
    POSITIVE LOGITS
     pse
    0.76
     guides
    0.76
     Commentary
    0.74
     unbiased
    0.73
     journalism
    0.72
     narration
    0.72
     analys
    0.69
     subjective
    0.66
     documenting
    0.64
     commentary
    0.64
    Activations Density 1.391%

    No Known Activations