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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. 1-RES-JB
    11. 7630
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    Explanations

    words related to efficiency and productivity

    oai_token-act-pair · gpt-3.5-turbo

    words or terms related to "patient" or similar concepts in a medical or healthcare context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AMS
    -0.92
    udeb
    -0.78
    soDeliveryDate
    -0.68
    toe
    -0.67
    mbuds
    -0.67
    pin
    -0.67
    MAR
    -0.65
    unders
    -0.64
     SIL
    -0.63
    UNCH
    -0.63
    POSITIVE LOGITS
    ient
    1.68
    ially
    1.19
    ients
    1.10
    ial
    1.06
    iency
    1.03
     occas
    0.92
    oad
    0.87
    aily
    0.85
    erent
    0.84
    aneous
    0.81
    Activations Density 0.012%

    No Known Activations