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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. 19431
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    Explanations

    medical terms and statistical analysis phrases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to demographic factors and health analysis

    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
    Not in Any Lists

    No Comments

    Negative Logits
     embr
    -0.75
     blat
    -0.75
    assetsadobe
    -0.74
    rencies
    -0.73
    urrency
    -0.71
    pmwiki
    -0.71
    TextColor
    -0.71
     rake
    -0.70
     horizont
    -0.70
     slic
    -0.69
    POSITIVE LOGITS
     cohort
    1.09
     Clinical
    1.03
     enrolled
    1.03
     clinical
    1.03
     covari
    1.00
     âī¥
    0.99
     Patients
    0.99
     maternal
    0.99
     Intervention
    0.98
     outpatient
    0.97
    Activations Density 0.592%

    No Known Activations