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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. 9-RES-JB
    11. 8591
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    Explanations

    words related to medical conditions, specifically focusing on diabetes

    oai_token-act-pair · gpt-3.5-turbo

    instances of diabetes and related health concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bilt
    -1.05
    agame
    -0.83
    lins
    -0.80
    "]=>
    -0.75
    anyahu
    -0.73
    ruff
    -0.71
    Ń·
    -0.69
    女
    -0.68
     Sounders
    -0.67
    ership
    -0.66
    POSITIVE LOGITS
     mell
    1.41
     glucose
    0.93
     insulin
    0.88
     Mell
    0.87
     ket
    0.83
     resistance
    0.78
     diabetes
    0.76
    oglobin
    0.75
     complications
    0.74
    abetes
    0.71
    Activations Density 0.032%

    No Known Activations