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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. 2-RES-JB
    11. 18355
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    Explanations

    references to medical terms or healthcare-related information

    oai_token-act-pair · gpt-3.5-turbo

    references to medical personnel and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    footed
    -0.72
     innocence
    -0.71
     borough
    -0.70
    lihood
    -0.70
     Borough
    -0.70
    lists
    -0.68
     Mavericks
    -0.67
    pattern
    -0.65
     Hornets
    -0.65
    Domin
    -0.64
    POSITIVE LOGITS
    Medic
    1.07
    inally
    1.06
     medic
    0.97
    onom
    0.92
     Medic
    0.89
    arie
    0.86
    aret
    0.84
    aceutical
    0.83
    ás
    0.81
    oto
    0.81
    Activations Density 0.006%

    No Known Activations