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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. 7-RES-JB
    11. 1478
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    Explanations

    terms related to medical specialties, particularly obstetrics and gynecology

    oai_token-act-pair · gpt-3.5-turbo

    mentions of medical specialties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ¥ŀ
    -0.81
    FTWARE
    -0.73
     obser
    -0.73
     absor
    -0.72
    ĻĤ
    -0.66
    ĸļ
    -0.64
     undermin
    -0.62
    sembly
    -0.61
    perty
    -0.59
    ister
    -0.59
    POSITIVE LOGITS
    roit
    1.20
    ernal
    1.03
    ropolis
    1.00
    ted
    0.98
    iquette
    0.97
    rix
    0.95
    ilde
    0.95
    zel
    0.94
    rics
    0.93
    rov
    0.89
    Activations Density 0.041%

    No Known Activations